From 39c557b9f960a08929f772752937a372a2d0ca8f Mon Sep 17 00:00:00 2001 From: Christina Date: Mon, 26 Nov 2018 12:15:45 +0100 Subject: [PATCH 1/2] added rules from sentence simplification project --- .idea/compiler.xml | 16 + .idea/copyright/Lambda___GPL_v3_.xml | 6 + .idea/copyright/Lambda___MIT_.xml | 6 + .idea/copyright/profiles_settings.xml | 3 + .idea/encodings.xml | 6 + .idea/inspectionProfiles/Project_Default.xml | 6 + .idea/modules.xml | 8 + .idea/vcs.xml | 6 + DiscourseSimplification.iml | 43 + LICENSE.txt | 674 + README.md | 46 + install-SentenceSimplification.sh | 7 + log/out.log | 18199 ++++++++++++++++ pom.xml | 204 + .../text/simplification/discourse/App.java | 61 + .../discourse/model/Content.java | 71 + .../discourse/model/Element.java | 120 + .../discourse/model/LinkedContext.java | 58 + .../discourse/model/OutSentence.java | 78 + .../discourse/model/SimpleContext.java | 130 + .../model/SimplificationContent.java | 115 + .../discourse/model/TimeInformation.java | 39 + .../model/serializer/TreeDeserializer.java | 53 + .../model/serializer/TreeSerializer.java | 49 + .../processing/DiscourseSimplifier.java | 197 + .../ExtendedDiscourseSimplifier.java | 85 + .../discourse/processing/ProcessingType.java | 31 + .../processing/SentencePreprocessor.java | 65 + .../DiscourseExtractor.java | 172 + .../discourse_tree/DiscourseTreeCreator.java | 212 + .../runner/discourse_tree/Relation.java | 125 + .../classification/CuePhraseClassifier.java | 169 + .../discourse_tree/extraction/Extraction.java | 133 + .../extraction/ExtractionRule.java | 304 + .../AdjectivalAdverbialInitialExtractor.java | 83 + ...jectivalAdverbialMiddleFinalExtractor.java | 87 + .../rules/CoordinationExtractor.java | 104 + .../extraction/rules/LeadNPExtractor.java | 84 + .../rules/ListNP/ListNPExtractor.java | 105 + .../rules/ListNP/PostListNPExtractor.java | 33 + .../rules/ListNP/PreListNPExtractor.java | 33 + .../NonRestrictiveAppositionExtractor.java | 155 + ...veRelativeClausePrepWhichWhoExtractor.java | 90 + ...strictiveRelativeClauseWhereExtractor.java | 90 + ...ictiveRelativeClauseWhoWhichExtractor.java | 97 + ...estrictiveRelativeClauseWhomExtractor.java | 99 + ...strictiveRelativeClauseWhoseExtractor.java | 104 + .../rules/ParticipialMiddleExtractor.java | 96 + .../rules/PreAttributionExtractor.java | 102 + .../PrepositionalAttachedtoVPExtractor.java | 105 + .../rules/PrepositionalInitialExtractor.java | 106 + .../PrepositionalMiddleFinalExtractor.java | 110 + .../rules/PurposePostExtractor.java | 86 + .../extraction/rules/PurposePreExtractor.java | 86 + .../rules/QuotedAttributionPostExtractor.java | 98 + .../rules/QuotedAttributionPreExtractor.java | 110 + .../ReferenceFinalAdverbialExtractor.java | 81 + .../ReferenceInitialAdverbialExtractor.java | 81 + .../ReferenceInitialConjunctionExtractor.java | 81 + .../ReferenceMedialAdverbialExtractor.java | 81 + .../rules/RestrictiveAppositionExtractor.java | 139 + .../RestrictiveParticipialExtractor.java | 88 + ...ictiveRelativeClauseWhoWhichExtractor.java | 97 + ...estrictiveRelativeClauseWhomExtractor.java | 96 + ...strictiveRelativeClauseWhoseExtractor.java | 99 + ...ClauseWithoutRelativePronounExtractor.java | 103 + .../SharedNPPostCoordinationExtractor.java | 93 + .../SharedNPPostParticipalExtractor.java | 88 + .../rules/SharedNPPreParticipalExtractor.java | 88 + ...SubordinationPostAttributionExtractor.java | 90 + ...ubordinationPostAttributionExtractor2.java | 90 + .../rules/SubordinationPostExtractor.java | 82 + .../rules/SubordinationPostExtractor2.java | 85 + .../SubordinationPostPurposeExtractor.java | 85 + .../rules/SubordinationPreExtractor.java | 81 + .../SubordinationPrePurposeExtractor.java | 85 + .../extraction/utils/ListNPSplitter.java | 234 + .../extraction/utils/TregexUtils.java | 111 + .../discourse_tree/model/Coordination.java | 133 + .../discourse_tree/model/DiscourseTree.java | 160 + .../discourse_tree/model/Invalidation.java | 51 + .../runner/discourse_tree/model/Leaf.java | 99 + .../discourse_tree/model/SentenceLeaf.java | 36 + .../discourse_tree/model/Subordination.java | 121 + .../SentenceSimplifier.java | 142 + .../classification/ClassificationResult.java | 53 + .../classification/ContextClassifier.java | 32 + .../classification/ExtContextClassifier.java | 166 + .../SimpleContextClassifier.java | 163 + .../discourse/utils/ConfigUtils.java | 37 + .../discourse/utils/IDGenerator.java | 31 + .../discourse/utils/IndexRange.java | 49 + .../discourse/utils/PrettyTreePrinter.java | 360 + .../discourse/utils/SPOSplitter.java | 127 + .../utils/ner/NERExtractionUtils.java | 44 + .../discourse/utils/ner/NERString.java | 86 + .../utils/ner/NERStringParseException.java | 33 + .../discourse/utils/ner/NERStringParser.java | 91 + .../discourse/utils/ner/NERToken.java | 61 + .../discourse/utils/ner/NERTokenGroup.java | 68 + .../discourse/utils/ner/tner/TNERString.java | 46 + .../discourse/utils/ner/tner/TNERToken.java | 69 + .../utils/parseTree/ParseTreeException.java | 33 + .../parseTree/ParseTreeExtractionUtils.java | 222 + .../utils/parseTree/ParseTreeParser.java | 56 + .../utils/parseTree/ParseTreeVisualizer.java | 68 + .../discourse/utils/pos/POSTagger.java | 58 + .../discourse/utils/pos/POSToken.java | 54 + .../utils/sentences/SentencesUtils.java | 69 + .../discourse/utils/words/WordsUtils.java | 114 + src/main/resources/attribution_verbs.conf | 249 + src/main/resources/cue_phrases.conf | 137 + src/main/resources/logback.xml | 51 + src/main/resources/reference.conf | 75 + .../processing/DiscourseSimplifierTest.java | 74 + .../processing/SentencePreprocessorTest.java | 47 + .../discourse/utils/words/WordUtilsTest.java | 57 + 117 files changed, 29340 insertions(+) create mode 100644 .idea/compiler.xml create mode 100644 .idea/copyright/Lambda___GPL_v3_.xml create mode 100644 .idea/copyright/Lambda___MIT_.xml create mode 100644 .idea/copyright/profiles_settings.xml create mode 100644 .idea/encodings.xml create mode 100644 .idea/inspectionProfiles/Project_Default.xml create mode 100644 .idea/modules.xml create mode 100644 .idea/vcs.xml create mode 100644 DiscourseSimplification.iml create mode 100644 LICENSE.txt create mode 100644 README.md create mode 100755 install-SentenceSimplification.sh create mode 100644 log/out.log create mode 100644 pom.xml create mode 100644 src/main/java/org/lambda3/text/simplification/discourse/App.java create mode 100644 src/main/java/org/lambda3/text/simplification/discourse/model/Content.java create mode 100644 src/main/java/org/lambda3/text/simplification/discourse/model/Element.java create mode 100644 src/main/java/org/lambda3/text/simplification/discourse/model/LinkedContext.java create mode 100644 src/main/java/org/lambda3/text/simplification/discourse/model/OutSentence.java create mode 100644 src/main/java/org/lambda3/text/simplification/discourse/model/SimpleContext.java create mode 100644 src/main/java/org/lambda3/text/simplification/discourse/model/SimplificationContent.java create mode 100644 src/main/java/org/lambda3/text/simplification/discourse/model/TimeInformation.java create mode 100644 src/main/java/org/lambda3/text/simplification/discourse/model/serializer/TreeDeserializer.java create mode 100644 src/main/java/org/lambda3/text/simplification/discourse/model/serializer/TreeSerializer.java create mode 100644 src/main/java/org/lambda3/text/simplification/discourse/processing/DiscourseSimplifier.java create mode 100644 src/main/java/org/lambda3/text/simplification/discourse/processing/ExtendedDiscourseSimplifier.java create mode 100644 src/main/java/org/lambda3/text/simplification/discourse/processing/ProcessingType.java create mode 100644 src/main/java/org/lambda3/text/simplification/discourse/processing/SentencePreprocessor.java create mode 100644 src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_extraction/DiscourseExtractor.java create mode 100644 src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/DiscourseTreeCreator.java create mode 100644 src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/Relation.java create mode 100644 src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/classification/CuePhraseClassifier.java create mode 100644 src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/Extraction.java create mode 100644 src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/ExtractionRule.java create mode 100644 src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/AdjectivalAdverbialInitialExtractor.java create mode 100644 src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/AdjectivalAdverbialMiddleFinalExtractor.java create mode 100644 src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/CoordinationExtractor.java create mode 100644 src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/LeadNPExtractor.java create mode 100644 src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/ListNP/ListNPExtractor.java create mode 100644 src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/ListNP/PostListNPExtractor.java create mode 100644 src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/ListNP/PreListNPExtractor.java create mode 100644 src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/NonRestrictiveAppositionExtractor.java create mode 100644 src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/NonRestrictiveRelativeClausePrepWhichWhoExtractor.java create mode 100644 src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/NonRestrictiveRelativeClauseWhereExtractor.java create mode 100644 src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/NonRestrictiveRelativeClauseWhoWhichExtractor.java create mode 100644 src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/NonRestrictiveRelativeClauseWhomExtractor.java create mode 100644 src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/NonRestrictiveRelativeClauseWhoseExtractor.java create mode 100644 src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/ParticipialMiddleExtractor.java create mode 100644 src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/PreAttributionExtractor.java create mode 100644 src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/PrepositionalAttachedtoVPExtractor.java create mode 100644 src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/PrepositionalInitialExtractor.java create mode 100644 src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/PrepositionalMiddleFinalExtractor.java create mode 100644 src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/PurposePostExtractor.java create mode 100644 src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/PurposePreExtractor.java create mode 100644 src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/QuotedAttributionPostExtractor.java create mode 100644 src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/QuotedAttributionPreExtractor.java create mode 100644 src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/ReferenceFinalAdverbialExtractor.java create mode 100644 src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/ReferenceInitialAdverbialExtractor.java create mode 100644 src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/ReferenceInitialConjunctionExtractor.java create mode 100644 src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/ReferenceMedialAdverbialExtractor.java create mode 100644 src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/RestrictiveAppositionExtractor.java create mode 100644 src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/RestrictiveParticipialExtractor.java create mode 100644 src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/RestrictiveRelativeClauseWhoWhichExtractor.java create mode 100644 src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/RestrictiveRelativeClauseWhomExtractor.java create mode 100644 src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/RestrictiveRelativeClauseWhoseExtractor.java create mode 100644 src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/RestrictiveRelativeClauseWithoutRelativePronounExtractor.java create mode 100644 src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/SharedNPPostCoordinationExtractor.java create mode 100644 src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/SharedNPPostParticipalExtractor.java create mode 100644 src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/SharedNPPreParticipalExtractor.java create mode 100644 src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/SubordinationPostAttributionExtractor.java create mode 100644 src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/SubordinationPostAttributionExtractor2.java create mode 100644 src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/SubordinationPostExtractor.java create mode 100644 src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/SubordinationPostExtractor2.java create mode 100644 src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/SubordinationPostPurposeExtractor.java create mode 100644 src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/SubordinationPreExtractor.java create mode 100644 src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/SubordinationPrePurposeExtractor.java create mode 100644 src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/utils/ListNPSplitter.java create mode 100644 src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/utils/TregexUtils.java create mode 100644 src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/model/Coordination.java create mode 100644 src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/model/DiscourseTree.java create mode 100644 src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/model/Invalidation.java create mode 100644 src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/model/Leaf.java create mode 100644 src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/model/SentenceLeaf.java create mode 100644 src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/model/Subordination.java create mode 100644 src/main/java/org/lambda3/text/simplification/discourse/runner/sentence_simplification/SentenceSimplifier.java create mode 100644 src/main/java/org/lambda3/text/simplification/discourse/runner/sentence_simplification/classification/ClassificationResult.java create mode 100644 src/main/java/org/lambda3/text/simplification/discourse/runner/sentence_simplification/classification/ContextClassifier.java create mode 100644 src/main/java/org/lambda3/text/simplification/discourse/runner/sentence_simplification/classification/ExtContextClassifier.java create mode 100644 src/main/java/org/lambda3/text/simplification/discourse/runner/sentence_simplification/classification/SimpleContextClassifier.java create mode 100644 src/main/java/org/lambda3/text/simplification/discourse/utils/ConfigUtils.java create mode 100644 src/main/java/org/lambda3/text/simplification/discourse/utils/IDGenerator.java create mode 100644 src/main/java/org/lambda3/text/simplification/discourse/utils/IndexRange.java create mode 100644 src/main/java/org/lambda3/text/simplification/discourse/utils/PrettyTreePrinter.java create mode 100644 src/main/java/org/lambda3/text/simplification/discourse/utils/SPOSplitter.java create mode 100644 src/main/java/org/lambda3/text/simplification/discourse/utils/ner/NERExtractionUtils.java create mode 100644 src/main/java/org/lambda3/text/simplification/discourse/utils/ner/NERString.java create mode 100644 src/main/java/org/lambda3/text/simplification/discourse/utils/ner/NERStringParseException.java create mode 100644 src/main/java/org/lambda3/text/simplification/discourse/utils/ner/NERStringParser.java create mode 100644 src/main/java/org/lambda3/text/simplification/discourse/utils/ner/NERToken.java create mode 100644 src/main/java/org/lambda3/text/simplification/discourse/utils/ner/NERTokenGroup.java create mode 100644 src/main/java/org/lambda3/text/simplification/discourse/utils/ner/tner/TNERString.java create mode 100644 src/main/java/org/lambda3/text/simplification/discourse/utils/ner/tner/TNERToken.java create mode 100644 src/main/java/org/lambda3/text/simplification/discourse/utils/parseTree/ParseTreeException.java create mode 100644 src/main/java/org/lambda3/text/simplification/discourse/utils/parseTree/ParseTreeExtractionUtils.java create mode 100644 src/main/java/org/lambda3/text/simplification/discourse/utils/parseTree/ParseTreeParser.java create mode 100644 src/main/java/org/lambda3/text/simplification/discourse/utils/parseTree/ParseTreeVisualizer.java create mode 100644 src/main/java/org/lambda3/text/simplification/discourse/utils/pos/POSTagger.java create mode 100644 src/main/java/org/lambda3/text/simplification/discourse/utils/pos/POSToken.java create mode 100644 src/main/java/org/lambda3/text/simplification/discourse/utils/sentences/SentencesUtils.java create mode 100644 src/main/java/org/lambda3/text/simplification/discourse/utils/words/WordsUtils.java create mode 100644 src/main/resources/attribution_verbs.conf create mode 100644 src/main/resources/cue_phrases.conf create mode 100644 src/main/resources/logback.xml create mode 100644 src/main/resources/reference.conf create mode 100644 src/test/java/org/lambda3/text/simplification/discourse/processing/DiscourseSimplifierTest.java create mode 100644 src/test/java/org/lambda3/text/simplification/discourse/processing/SentencePreprocessorTest.java create mode 100644 src/test/java/org/lambda3/text/simplification/discourse/utils/words/WordUtilsTest.java diff --git a/.idea/compiler.xml b/.idea/compiler.xml new file mode 100644 index 0000000..4e42293 --- /dev/null +++ b/.idea/compiler.xml @@ -0,0 +1,16 @@ + + + + + + + + + + + + + + + + \ No newline at end of file diff --git a/.idea/copyright/Lambda___GPL_v3_.xml b/.idea/copyright/Lambda___GPL_v3_.xml new file mode 100644 index 0000000..d201bc0 --- /dev/null +++ b/.idea/copyright/Lambda___GPL_v3_.xml @@ -0,0 +1,6 @@ + + + + \ No newline at end of file diff --git a/.idea/copyright/Lambda___MIT_.xml b/.idea/copyright/Lambda___MIT_.xml new file mode 100644 index 0000000..c987fe2 --- /dev/null +++ b/.idea/copyright/Lambda___MIT_.xml @@ -0,0 +1,6 @@ + + + + \ No newline at end of file diff --git a/.idea/copyright/profiles_settings.xml b/.idea/copyright/profiles_settings.xml new file mode 100644 index 0000000..ca4cabf --- /dev/null +++ b/.idea/copyright/profiles_settings.xml @@ -0,0 +1,3 @@ + + + \ No newline at end of file diff --git a/.idea/encodings.xml b/.idea/encodings.xml new file mode 100644 index 0000000..b26911b --- /dev/null +++ b/.idea/encodings.xml @@ -0,0 +1,6 @@ + + + + + + \ No newline at end of file diff --git a/.idea/inspectionProfiles/Project_Default.xml b/.idea/inspectionProfiles/Project_Default.xml new file mode 100644 index 0000000..6612519 --- /dev/null +++ b/.idea/inspectionProfiles/Project_Default.xml @@ -0,0 +1,6 @@ + + + + \ No newline at end of file diff --git a/.idea/modules.xml b/.idea/modules.xml new file mode 100644 index 0000000..25ec0e9 --- /dev/null +++ b/.idea/modules.xml @@ -0,0 +1,8 @@ + + + + + + + + \ No newline at end of file diff --git a/.idea/vcs.xml b/.idea/vcs.xml new file mode 100644 index 0000000..94a25f7 --- /dev/null +++ b/.idea/vcs.xml @@ -0,0 +1,6 @@ + + + + + + \ No newline at end of file diff --git a/DiscourseSimplification.iml b/DiscourseSimplification.iml new file mode 100644 index 0000000..6df30cf --- /dev/null +++ b/DiscourseSimplification.iml @@ -0,0 +1,43 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + \ No newline at end of file diff --git a/LICENSE.txt b/LICENSE.txt new file mode 100644 index 0000000..9cecc1d --- /dev/null +++ b/LICENSE.txt @@ -0,0 +1,674 @@ + GNU GENERAL PUBLIC LICENSE + Version 3, 29 June 2007 + + Copyright (C) 2007 Free Software Foundation, Inc. + Everyone is permitted to copy and distribute verbatim copies + of this license document, but changing it is not allowed. + + Preamble + + The GNU General Public License is a free, copyleft license for +software and other kinds of works. + + The licenses for most software and other practical works are designed +to take away your freedom to share and change the works. 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But first, please read +. diff --git a/README.md b/README.md new file mode 100644 index 0000000..bea434b --- /dev/null +++ b/README.md @@ -0,0 +1,46 @@ +[![Build Status](https://travis-ci.org/Lambda-3/DiscourseSimplification.svg?branch=master)](https://travis-ci.org/Lambda-3/DiscourseSimplification) + +# Discourse Simplification + +A project for simplifying sentences wrt. discourse/rhetorical structures. +This works as a wrapper for the [SentenceSimplification](https://github.com/Lambda-3/SentenceSimplification) project. + +## Dependencies + +### SentenceSimplification + +Clone and install locally + + git clone --branch v5.0.0 https://github.com/Lambda-3/SentenceSimplification.git + cd SentenceSimplification + mvn install + +## Building and Running + + mvn package + +### Run the program +Create a new text file with the input + + vim input.txt + +Run program + + mvn clean compile exec:java + +Inspect output + + cat output_default.txt + cat output_flat.txt + +## Use as library +Check `App.java`. +Or its usage in the [Graphene](https://github.com/Lambda-3/Graphene) project. + + +## Contributors (alphabetical order) +- Andre Freitas +- Bernhard Bermeitinger +- Christina Niklaus +- Matthias Cetto +- Siegfried Handschuh diff --git a/install-SentenceSimplification.sh b/install-SentenceSimplification.sh new file mode 100755 index 0000000..7de0be1 --- /dev/null +++ b/install-SentenceSimplification.sh @@ -0,0 +1,7 @@ +#!/bin/sh +VERSION=5.0.0 + +set -ex +wget https://github.com/Lambda-3/SentenceSimplification/archive/v$VERSION.tar.gz +tar xfa v$VERSION.tar.gz +cd SentenceSimplification-$VERSION && mvn install -B -DskipTest diff --git a/log/out.log b/log/out.log new file mode 100644 index 0000000..df51130 --- /dev/null +++ b/log/out.log @@ -0,0 +1,18199 @@ +DiscourseSimplifier initialized + + +{ + "attribution_verbs" : [ + "comment", + "have faith in", + "consider", + "demand", + "apprise", + "report", + "evince", + "identify", + "enlighten", + "utter", + "ruminate", + "give away", + "discern", + "hold", + "acknowledge", + "explain", + "hypothesize", + "forbid", + "shout", + "theorise", + "betray", + "turn down", + "traverse", + "pipe up", + "cogitate", + "confide", + "hope", + "dispute", + "notify", + "conjecture", + "televise", + "signify", + "read", + "propose", + "void", + "express", + "perceive", + "mention", + "meditate", + "insist", + "presume", + "judge", + "compute", + "speculate", + "discuss", + "counter", + "reveal", + "contradict", + "conceive", + "proclaim", + "hypothesise", + "ascertain", + "signal", + "mean", + "respond", + "prohibit", + "signify", + "weight", + "urge", + "repudiate", + "pronounce", + "deduce", + "asseverate", + "design", + "expect", + "critique", + "adjudge", + "enounce", + "wonder", + "educate", + "detect", + "deliberate", + "confess", + "rehearse", + "publish", + "verbalize", + "veto", + "state", + "suspect", + "disprove", + "blur", + "manifest", + "disclose", + "reiterate", + "avow", + "slur", + "disagree", + "communicate", + "enunciate", + "disallow", + "disclaim", + "contemplate", + "reason", + "brood", + "imagine", + "distinguish", + "estimate", + "narrate", + "surmise", + "remark", + "theorize", + "clarify", + "study", + "disavow", + "keep back", + "recollect", + "display", + "admit", + "credit", + "belie", + "entertain", + "verbalise", + "dismiss", + "argue", + "think", + "recite", + "invalidate", + "abjure", + "speak up", + "feel", + "relate", + "renounce", + "articulate", + "assess", + "instruct", + "guess", + "esteem", + "trust", + "teach", + "speak", + "ventilate", + "guess", + "edify", + "acquaint", + "connote", + "vocalize", + "question", + "mediate", + "submit", + "mark", + "indicate", + "iterate", + "whisper", + "familiarize", + "tell", + "garble", + "offer", + "share", + "expose", + "regard", + "refuse", + "muse", + "clue", + "assert", + "observe", + "differentiate", + "argue against", + "recount", + "believe", + "count", + "reflect on", + "affirm", + "recall", + "anticipate", + "spill", + "controvert", + "air", + "warn", + "record", + "suppose", + "espouse", + "voice", + "declare", + "announce", + "exhibit", + "claim", + "gather", + "recognize", + "describe", + "influence", + "predicate", + "denote", + "say", + "deem", + "embrace", + "contest", + "sense", + "phrase", + "allege", + "publicise", + "surmise", + "ponder", + "discriminate", + "refute", + "agree", + "divulge", + "couch", + "note", + "discredit", + "reject", + "answer", + "oppose", + "advise", + "infer", + "bear in mind", + "repeat", + "intend", + "allow", + "mispronounce", + "reckon", + "familiarise", + "vocalise", + "make known", + "reflect", + "concede", + "purpose", + "recognise", + "recount", + "disown", + "broadcast", + "deny", + "let slip", + "renounce", + "remember", + "rationalize", + "assume", + "bid", + "register", + "make out", + "withhold", + "inform", + "command", + "unburden", + "publicize", + "recant", + "order", + "talk", + "know", + "promote", + "advertise", + "swear", + "emphasize", + "underline", + "testify", + "cite", + "message", + "ask" + ], + "cue_phrases" : { + "adverbial_phrases" : { + "matching" : "exact", + "phrases" : { + "after" : "TEMPORAL_AFTER_C", + "after(\\W(.*?\\W)?)(this|that)" : "TEMPORAL_AFTER_C", + "although" : "CONTRAST", + "and" : "LIST", + "and after" : "TEMPORAL_AFTER_C", + "and after(\\W(.*?\\W)?)(this|that)" : "TEMPORAL_AFTER_C", + "as" : "BACKGROUND", + "as a result" : "RESULT_C", + "as a result of" : "RESULT_C", + "as a result of(\\W(.*?\\W)?)(this|that)" : "RESULT_C", + "as a result(\\W(.*?\\W)?)(this|that)" : "RESULT_C", + "because" : "CAUSE_C", + "because(\\W(.*?\\W)?)(this|that)" : "CAUSE_C", + "before" : "TEMPORAL_BEFORE_C", + "before(\\W(.*?\\W)?)(this|that)" : "TEMPORAL_BEFORE_C", + "but" : "CONTRAST", + "but now" : "CONTRAST", + "despite" : "CONTRAST", + "even before" : "ELABORATION", + "even though" : "CONTRAST", + "even when" : "CONTRAST", + "except when" : "CONTRAST", + "for example" : "ELABORATION", + "further" : "ELABORATION", + "however" : "CONTRAST", + "if" : "CONDITION", + "in addition" : "LIST", + "in addition to" : "LIST", + "in case" : "CONDITION", + "instead" : "CONTRAST", + "more provocatively" : "ELABORATION", + "moreover" : "LIST", + "next" : "TEMPORAL_AFTER_C", + "now" : "BACKGROUND", + "once" : "BACKGROUND", + "or" : "DISJUNCTION", + "previously" : "TEMPORAL_BEFORE_C", + "previously(\\W(.*?\\W)?)(this|that)" : "TEMPORAL_BEFORE_C", + "rather" : "CONTRAST", + "recently" : "ELABORATION", + "since" : "CAUSE_C", + "since(\\W(.*?\\W)?)now" : "ELABORATION", + "so" : "ELABORATION", + "so far" : "ELABORATION", + "still" : "CONTRAST", + "then" : "TEMPORAL_AFTER_C", + "though" : "CONTRAST", + "thus" : "CONTRAST", + "unless" : "CONDITION", + "until" : "CONDITION", + "until recently" : "CONTRAST", + "when" : "BACKGROUND", + "where" : "ELABORATION", + "whereby" : "ELABORATION", + "whether" : "ELABORATION", + "while" : "CONTRAST", + "with" : "BACKGROUND", + "without" : "BACKGROUND", + "yet" : "CONTRAST" + } + }, + "coordinating_phrases" : { + "matching" : "contained", + "phrases" : { + "after" : "TEMPORAL_AFTER_C", + "although" : "CONTRAST", + "and" : "LIST", + "and after" : "TEMPORAL_AFTER_C", + "as" : "BACKGROUND", + "as a result" : "RESULT_C", + "as a result of" : "RESULT_C", + "because" : "CAUSE_C", + "before" : "TEMPORAL_BEFORE_C", + "but" : "CONTRAST", + "but now" : "CONTRAST", + "despite" : "CONTRAST", + "even before" : "ELABORATION", + "even though" : "CONTRAST", + "even when" : "CONTRAST", + "except when" : "CONTRAST", + "for example" : "ELABORATION", + "further" : "ELABORATION", + "however" : "CONTRAST", + "if" : "CONDITION", + "in addition" : "LIST", + "in addition to" : "LIST", + "in case" : "CONDITION", + "instead" : "CONTRAST", + "more provocatively" : "ELABORATION", + "moreover" : "LIST", + "next" : "TEMPORAL_AFTER_C", + "now" : "BACKGROUND", + "once" : "BACKGROUND", + "or" : "DISJUNCTION", + "previously" : "TEMPORAL_BEFORE_C", + "rather" : "CONTRAST", + "recently" : "ELABORATION", + "since" : "CAUSE_C", + "since(\\W(.*?\\W)?)now" : "ELABORATION", + "so" : "ELABORATION", + "so far" : "ELABORATION", + "still" : "CONTRAST", + "then" : "TEMPORAL_AFTER_C", + "though" : "CONTRAST", + "thus" : "CONTRAST", + "unless" : "CONDITION", + "until" : "CONDITION", + "until recently" : "CONTRAST", + "when" : "BACKGROUND", + "where" : "ELABORATION", + "whereby" : "ELABORATION", + "whether" : "ELABORATION", + "while" : "CONTRAST", + "with" : "BACKGROUND", + "without" : "BACKGROUND", + "yet" : "CONTRAST" + } + }, + "default_phrases" : { + "matching" : "contained", + "phrases" : { + "after" : "TEMPORAL_AFTER_C", + "although" : "CONTRAST", + "and" : "LIST", + "and after" : "TEMPORAL_AFTER_C", + "as" : "BACKGROUND", + "as a result" : "RESULT_C", + "as a result of" : "RESULT_C", + "because" : "CAUSE_C", + "before" : "TEMPORAL_BEFORE_C", + "but" : "CONTRAST", + "but now" : "CONTRAST", + "despite" : "CONTRAST", + "even before" : "ELABORATION", + "even though" : "CONTRAST", + "even when" : "CONTRAST", + "except when" : "CONTRAST", + "for example" : "ELABORATION", + "further" : "ELABORATION", + "however" : "CONTRAST", + "if" : "CONDITION", + "in addition" : "LIST", + "in addition to" : "LIST", + "in case" : "CONDITION", + "instead" : "CONTRAST", + "more provocatively" : "ELABORATION", + "moreover" : "LIST", + "next" : "TEMPORAL_AFTER_C", + "now" : "BACKGROUND", + "once" : "BACKGROUND", + "or" : "DISJUNCTION", + "previously" : "TEMPORAL_BEFORE_C", + "rather" : "CONTRAST", + "recently" : "ELABORATION", + "since" : "CAUSE_C", + "since(\\W(.*?\\W)?)now" : "ELABORATION", + "so" : "ELABORATION", + "so far" : "ELABORATION", + "still" : "CONTRAST", + "then" : "TEMPORAL_AFTER_C", + "though" : "CONTRAST", + "thus" : "CONTRAST", + "unless" : "CONDITION", + "until" : "CONDITION", + "until recently" : "CONTRAST", + "when" : "BACKGROUND", + "where" : "ELABORATION", + "whereby" : "ELABORATION", + "whether" : "ELABORATION", + "while" : "CONTRAST", + "with" : "BACKGROUND", + "without" : "BACKGROUND", + "yet" : "CONTRAST" + } + }, + "subordinating_phrases" : { + "matching" : "contained", + "phrases" : { + "after" : "TEMPORAL_BEFORE", + "although" : "CONTRAST", + "and" : "LIST", + "and after" : "TEMPORAL_BEFORE", + "as" : "BACKGROUND", + "as a result" : "RESULT", + "as a result of" : "RESULT", + "because" : "CAUSE", + "before" : "TEMPORAL_AFTER", + "but" : "CONTRAST", + "but now" : "CONTRAST", + "despite" : "CONTRAST", + "even before" : "ELABORATION", + "even though" : "CONTRAST", + "even when" : "CONTRAST", + "except when" : "CONTRAST", + "for example" : "ELABORATION", + "further" : "ELABORATION", + "however" : "CONTRAST", + "if" : "CONDITION", + "in addition" : "LIST", + "in addition to" : "LIST", + "in case" : "CONDITION", + "instead" : "CONTRAST", + "more provocatively" : "ELABORATION", + "moreover" : "LIST", + "next" : "TEMPORAL_AFTER", + "now" : "BACKGROUND", + "once" : "BACKGROUND", + "or" : "DISJUNCTION", + "previously" : "TEMPORAL_AFTER", + "rather" : "CONTRAST", + "recently" : "ELABORATION", + "since" : "CAUSE", + "since(\\W(.*?\\W)?)now" : "ELABORATION", + "so" : "ELABORATION", + "so far" : "ELABORATION", + "still" : "CONTRAST", + "then" : "TEMPORAL_AFTER", + "though" : "CONTRAST", + "thus" : "CONTRAST", + "unless" : "CONDITION", + "until" : "CONDITION", + "until recently" : "CONTRAST", + "when" : "BACKGROUND", + "where" : "ELABORATION", + "whereby" : "ELABORATION", + "whether" : "ELABORATION", + "while" : "CONTRAST", + "with" : "BACKGROUND", + "without" : "BACKGROUND", + "yet" : "CONTRAST" + } + } + }, + "ignored-relations" : [ + "UNKNOWN_COORDINATION" + ], + "remove-brackets" : false, + "rules" : [ + "org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules.ReferenceInitialConjunctionExtractor", + "org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules.ReferenceInitialAdverbialExtractor", + "org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules.ReferenceMedialAdverbialExtractor", + "org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules.ReferenceFinalAdverbialExtractor", + "org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules.CoordinationExtractor", + "org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules.NonRestrictiveRelativeClauseWhomExtractor", + "org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules.NonRestrictiveRelativeClauseWhoWhichExtractor", + "org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules.NonRestrictiveRelativeClauseWhereExtractor", + "org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules.NonRestrictiveRelativeClausePrepWhichWhoExtractor", + "org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules.NonRestrictiveRelativeClauseWhoseExtractor", + "org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules.RestrictiveAppositionExtractor", + "org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules.NonRestrictiveAppositionExtractor", + "org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules.PurposePreExtractor", + "org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules.SubordinationPrePurposeExtractor", + "org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules.SharedNPPreParticipalExtractor", + "org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules.SubordinationPreExtractor", + "org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules.SharedNPPostCoordinationExtractor", + "org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules.SharedNPPostParticipalExtractor", + "org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules.SubordinationPostPurposeExtractor", + "org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules.PurposePostExtractor", + "org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules.QuotedAttributionPostExtractor", + "org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules.SubordinationPostAttributionExtractor2", + "org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules.SubordinationPostAttributionExtractor", + "org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules.SubordinationPostExtractor", + "org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules.QuotedAttributionPreExtractor", + "org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules.PreAttributionExtractor", + "org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules.ParticipialMiddleExtractor", + "org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules.RestrictiveRelativeClauseWhoWhichExtractor", + "org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules.RestrictiveRelativeClauseWhoseExtractor", + "org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules.RestrictiveRelativeClauseWithoutRelativePronounExtractor", + "org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules.RestrictiveRelativeClauseWhomExtractor", + "org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules.PrepositionalAttachedtoVPExtractor", + "org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules.RestrictiveParticipialExtractor", + "org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules.AdjectivalAdverbialMiddleFinalExtractor", + "org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules.AdjectivalAdverbialInitialExtractor", + "org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules.LeadNPExtractor", + "org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules.PrepositionalInitialExtractor", + "org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules.PrepositionalMiddleFinalExtractor", + "org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules.ListNP.PreListNPExtractor", + "org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules.ListNP.PostListNPExtractor" + ], + "with-sentence-simplification" : false +} + + +# Processing sentence 1/527 # + +'Last night, he drove home.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +Loading parser from serialized file edu/stanford/nlp/models/lexparser/englishPCFG.ser.gz ... done [0,9 sec]. + +Loading classifier from edu/stanford/nlp/models/ner/english.all.3class.distsim.crf.ser.gz ... done [2,7 sec]. + +Loading POS tagger from edu/stanford/nlp/models/pos-tagger/english-left3words/english-left3words-distsim.tagger ... done [0,9 sec]. + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> 'Last night , he drove home .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# Last night, he drove home. + +e53a7f7351814b1fb0660fefe192eca5 0 Last night , he drove home . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 2/527 # + +'Barack Hussein Obama II (/bəˈrɑːk huːˈseɪn oʊˈbɑːmə/ (About this sound listen);' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> 'Barack Hussein Obama II -LRB- / bəˈrɑːk huːˈseɪn oʊˈbɑːmə / -LRB- About this sound listen -RRB- ;' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# Barack Hussein Obama II (/bəˈrɑːk huːˈseɪn oʊˈbɑːmə/ (About this sound listen); + +087c0b85a6544895bff710adbc9f83e4 0 Barack Hussein Obama II -LRB- / bəˈrɑːk huːˈseɪn oʊˈbɑːmə / -LRB- About this sound listen -RRB- ; + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 3/527 # + +'born August 4, 1961) is an American politician who served as the 44th President of the United States from January 20, 2009, to January 20, 2017.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> CO/UNKNOWN_COORDINATION ('', SharedNPPreParticipalExtractor) + ├──────────────────n──────────────────> '1961 was born August 4 .' + └───n───> SUB/IDENTIFYING_DEFINITION ('who', RestrictiveRelativeClauseWhoWhichExtractor) + ├─────────────n─────────────> '1961 -RRB- is an American politician .' + └───s───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) + ├────────s────────> 'This was from January 20 , 2009 .' + └───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) + ├───s───> 'This was to January 20 , 2017 .' + └───n───> 'An American politician served as the 44th President of the United States .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# born August 4, 1961) is an American politician who served as the 44th President of the United States from January 20, 2009, to January 20, 2017. + +0d72bbfd933d4175a802bc0d07b3d4fa 0 1961 was born August 4 . + +758db1e013fc44df9da28ea328dbfce6 0 1961 -RRB- is an American politician . + L:IDENTIFYING_DEFINITION 14382154f90b4587bd6431861f61215c + +14382154f90b4587bd6431861f61215c 1 An American politician served as the 44th President of the United States . + S:TEMPORAL This was to January 20 , 2017 . + S:TEMPORAL This was from January 20 , 2009 . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 4/527 # + +'A member of the Democratic Party, he was the first African American to assume the presidency and previously served as a United States Senator from Illinois (2005–2008).' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +Loading POS tagger from edu/stanford/nlp/models/pos-tagger/english-left3words/english-left3words-distsim.tagger ... done [2,0 sec]. + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> CO/TEMPORAL_BEFORE_C ('and previously', SharedNPPostCoordinationExtractor) + ├───n───> SUB/IDENTIFYING_DEFINITION ('', RestrictiveRelativeClauseWithoutRelativePronounExtractor) + | ├───n───> 'A member of the Democratic Party , he was the first African American .' + | └───s───> 'To assume the presidency the first African American .' + └───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) + ├───s───> 'This was from Illinois .' + └───n───> 'A member of the Democratic Party , he served as a United States Senator -LRB- 2005 -- 2008 -RRB- .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# A member of the Democratic Party, he was the first African American to assume the presidency and previously served as a United States Senator from Illinois (2005–2008). + +d2d27caf39df4c969e372a429efec061 0 A member of the Democratic Party , he was the first African American . + L:IDENTIFYING_DEFINITION 0f4add98711742dfb39c051f0d324ddf + L:TEMPORAL_BEFORE_C 8c477deecc2c421ca1c284db82d49cff + +0f4add98711742dfb39c051f0d324ddf 1 To assume the presidency the first African American . + +8c477deecc2c421ca1c284db82d49cff 0 A member of the Democratic Party , he served as a United States Senator -LRB- 2005 -- 2008 -RRB- . + S:SPATIAL This was from Illinois . + L:TEMPORAL_AFTER_C d2d27caf39df4c969e372a429efec061 + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 5/527 # + +'Obama was born in 1961 in Honolulu, Hawaii, two years after the territory was admitted to the Union as the 50th state.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/TEMPORAL_BEFORE ('two years after', SubordinationPostExtractor) + ├───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) + | ├───s───> 'This was in Honolulu , Hawaii .' + | └───n───> 'Obama was born in 1961 .' + └───s───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + ├───s───> 'This was as the 50th state .' + └───n───> 'The territory was admitted to the Union .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# Obama was born in 1961 in Honolulu, Hawaii, two years after the territory was admitted to the Union as the 50th state. + +84295a190e4a4ff5a3966aee32f153df 0 Obama was born in 1961 . + S:SPATIAL This was in Honolulu , Hawaii . + L:TEMPORAL_BEFORE 6e869e7ff5e44f47ac4a210919abdfe4 + +6e869e7ff5e44f47ac4a210919abdfe4 1 The territory was admitted to the Union . + S:UNKNOWN_SUBORDINATION This was as the 50th state . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 6/527 # + +'Raised largely in Hawaii, he also spent one year of his childhood in the State of Washington and four years in Indonesia.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> CO/UNKNOWN_COORDINATION ('', SharedNPPreParticipalExtractor) + ├─────────────n─────────────> 'He was raised largely in Hawaii .' + └───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) + ├───s───> CO/LIST (NULL, PostListNPExtractor) + | ├───n───> 'This was in the State of Washington .' + | └───n───> 'This was in four years in Indonesia .' + └────────n────────> 'He also spent one year of his childhood .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# Raised largely in Hawaii, he also spent one year of his childhood in the State of Washington and four years in Indonesia. + +812510f68af44aaa96708caa73e3ec87 0 He was raised largely in Hawaii . + +d8481580dcc84cd7aec587badf3ab5a2 0 He also spent one year of his childhood . + L:SPATIAL 84f2c2142acc4e60b9a2ce32b4916b2b + L:SPATIAL 539895f3e61f4aeb8b6a15376d2a7a93 + +84f2c2142acc4e60b9a2ce32b4916b2b 1 This was in the State of Washington . + L:LIST 539895f3e61f4aeb8b6a15376d2a7a93 + +539895f3e61f4aeb8b6a15376d2a7a93 1 This was in four years in Indonesia . + L:LIST 84f2c2142acc4e60b9a2ce32b4916b2b + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 7/527 # + +'After graduating from Columbia University in 1983, he worked as a community organizer in Chicago.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/TEMPORAL_BEFORE ('After', SharedNPPreParticipalExtractor) + ├────────s────────> 'He was graduating from Columbia University in 1983 .' + └───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) + ├───s───> 'This was in Chicago .' + └───n───> 'He worked as a community organizer .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# After graduating from Columbia University in 1983, he worked as a community organizer in Chicago. + +c95eb79157e54727afaa070848188395 0 He worked as a community organizer . + S:SPATIAL This was in Chicago . + L:TEMPORAL_BEFORE c4521185457043be8224510b5935f723 + +c4521185457043be8224510b5935f723 1 He was graduating from Columbia University in 1983 . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 8/527 # + +'In 1988, he enrolled in Harvard Law School, where he was the first black president of the Harvard Law Review.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/SPATIAL (NULL, NonRestrictiveRelativeClauseWhereExtractor) + ├───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + | ├───s───> 'This was in 1988 .' + | └───n───> 'He enrolled in Harvard Law School .' + └────────s────────> 'He was the first black president of the Harvard Law Review .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# In 1988, he enrolled in Harvard Law School, where he was the first black president of the Harvard Law Review. + +e2c50cc5c1ef40619676f924c9a8adbf 0 He enrolled in Harvard Law School . + S:TEMPORAL This was in 1988 . + L:SPATIAL ae311be5a508418dadba6d6cdfefe2d5 + +ae311be5a508418dadba6d6cdfefe2d5 1 He was the first black president of the Harvard Law Review . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 9/527 # + +'After graduating, he became a civil rights attorney and a professor, teaching constitutional law at the University of Chicago Law School from 1992 to 2004.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> CO/UNKNOWN_COORDINATION (NULL, SharedNPPostParticipalExtractor) + ├───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalInitialExtractor) + | ├────────s────────> 'This was after graduating .' + | └───n───> CO/LIST (NULL, PostListNPExtractor) + | ├───n───> 'He became a civil rights attorney .' + | └───n───> 'He became a professor .' + └───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) + ├────────s────────> 'This was at the University of Chicago Law School from 1992 to 2004 .' + └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalInitialExtractor) + ├───s───> 'This was after graduating .' + └───n───> 'He was teaching constitutional law .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# After graduating, he became a civil rights attorney and a professor, teaching constitutional law at the University of Chicago Law School from 1992 to 2004. + +92b33637fc0047fcb7a81b9368af66fa 0 He became a civil rights attorney . + S:UNKNOWN_SUBORDINATION This was after graduating . + L:LIST 6191915305ac4eafa42e27be242622d7 + +6191915305ac4eafa42e27be242622d7 0 He became a professor . + S:UNKNOWN_SUBORDINATION This was after graduating . + L:LIST 92b33637fc0047fcb7a81b9368af66fa + +24374b265d214579a33193ce09fbe52e 0 He was teaching constitutional law . + S:UNKNOWN_SUBORDINATION This was after graduating . + S:TEMPORAL This was at the University of Chicago Law School from 1992 to 2004 . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 10/527 # + +'He represented the 13th district for three terms in the Illinois Senate from 1997 to 2004, when he ran for the U.S. Senate.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/SPATIAL (NULL, NonRestrictiveRelativeClauseWhereExtractor) + ├───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) + | ├─────────────s─────────────> 'This was for three terms in the Illinois Senate .' + | └───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) + | ├────────s────────> 'This was from 1997 .' + | └───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) + | ├───s───> 'This was to 2004 .' + | └───n───> 'He represented the 13th district .' + └──────────────────s──────────────────> 'He ran for the U.S. Senate .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# He represented the 13th district for three terms in the Illinois Senate from 1997 to 2004, when he ran for the U.S. Senate. + +920f2f6cfc9148a5bf27483b17d83b37 0 He represented the 13th district . + S:TEMPORAL This was to 2004 . + S:TEMPORAL This was from 1997 . + S:TEMPORAL This was for three terms in the Illinois Senate . + L:SPATIAL 83b4a14f1a204daa9756fc326a89779d + +83b4a14f1a204daa9756fc326a89779d 1 He ran for the U.S. Senate . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 11/527 # + +'He received national attention in 2004 with his March primary win, his well-received July Democratic National Convention keynote address, and his landslide November election to the Senate.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) + ├─────────────s─────────────> 'This was in 2004 .' + └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + ├───s───> CO/LIST (NULL, PostListNPExtractor) + | ├───n───> 'This was with his March primary win .' + | ├───n───> 'This was with his well-received July Democratic National Convention keynote address .' + | └───n───> 'This was with his landslide November election .' + └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + ├───s───> 'This was to the Senate .' + └───n───> 'He received national attention .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# He received national attention in 2004 with his March primary win, his well-received July Democratic National Convention keynote address, and his landslide November election to the Senate. + +9b2576a206624fb887714f70ea57ed7e 0 He received national attention . + S:UNKNOWN_SUBORDINATION This was to the Senate . + S:TEMPORAL This was in 2004 . + L:UNKNOWN_SUBORDINATION d306447524d84ab4b7f0d5c55bb67eb5 + L:UNKNOWN_SUBORDINATION 49e91cdf796142598989ed7848d46577 + L:UNKNOWN_SUBORDINATION b120bd37f4844bf3a2d16f2fd876978a + +d306447524d84ab4b7f0d5c55bb67eb5 1 This was with his March primary win . + L:LIST 49e91cdf796142598989ed7848d46577 + L:LIST b120bd37f4844bf3a2d16f2fd876978a + +49e91cdf796142598989ed7848d46577 1 This was with his well-received July Democratic National Convention keynote address . + L:LIST b120bd37f4844bf3a2d16f2fd876978a + L:LIST d306447524d84ab4b7f0d5c55bb67eb5 + +b120bd37f4844bf3a2d16f2fd876978a 1 This was with his landslide November election . + L:LIST d306447524d84ab4b7f0d5c55bb67eb5 + L:LIST 49e91cdf796142598989ed7848d46577 + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 12/527 # + +'In 2008, he was nominated for president a year after his campaign began and after a close primary campaign against Hillary Clinton.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/TEMPORAL_BEFORE ('after', SubordinationPostExtractor) + ├───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + | ├───s───> 'This was in 2008 .' + | └───n───> 'He was nominated for president a year .' + └───s───> CO/LIST ('and', SharedNPPostCoordinationExtractor) + ├───n───> 'His campaign began .' + └───n───> 'His campaign after a close primary campaign against Hillary Clinton .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# In 2008, he was nominated for president a year after his campaign began and after a close primary campaign against Hillary Clinton. + +3e53d126fb0b4cff84600b9ed880f105 0 He was nominated for president a year . + S:TEMPORAL This was in 2008 . + L:TEMPORAL_BEFORE c89e563de5944f25bc0972a33e3731cb + L:TEMPORAL_BEFORE 3583d17c87bf4506a03c798237993695 + +c89e563de5944f25bc0972a33e3731cb 1 His campaign began . + L:LIST 3583d17c87bf4506a03c798237993695 + +3583d17c87bf4506a03c798237993695 1 His campaign after a close primary campaign against Hillary Clinton . + L:LIST c89e563de5944f25bc0972a33e3731cb + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 13/527 # + +'He was elected over Republican John McCain and was inaugurated on January 20, 2009.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) + ├────────s────────> 'John McCain was Republican .' + └───n───> CO/LIST ('and', SharedNPPostCoordinationExtractor) + ├───n───> 'He was elected over John McCain .' + └───n───> 'He was inaugurated on January 20 , 2009 .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# He was elected over Republican John McCain and was inaugurated on January 20, 2009. + +25fdca63e52e4743b98def09531921d9 0 He was elected over John McCain . + L:LIST 828c78724fc843e4918f71c9a0a6c310 + L:ELABORATION a61594a1b919446fa210da9e80738d8a + +828c78724fc843e4918f71c9a0a6c310 0 He was inaugurated on January 20 , 2009 . + L:LIST 25fdca63e52e4743b98def09531921d9 + L:ELABORATION a61594a1b919446fa210da9e80738d8a + +a61594a1b919446fa210da9e80738d8a 1 John McCain was Republican . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 14/527 # + +'Nine months later, he was named the 2009 Nobel Peace Prize laureate, accepting the award with the caveat that he felt there were others far more deserving of this honor than I.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/UNKNOWN_SUBORDINATION ('', ParticipialMiddleExtractor) + ├─────────────n─────────────> 'Nine months later , he was named the 2009 Nobel Peace Prize laureate .' + └───s───> SUB/UNKNOWN_SUBORDINATION ('that', SubordinationPostExtractor) + ├───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + | ├───s───> 'This was with the caveat .' + | └───n───> 'The 2009 Nobel Peace Prize laureate was accepting the award .' + └───s───> SUB/ATTRIBUTION (NULL, SubordinationPostAttributionExtractor) + ├───s───> 'This was what he felt .' + └───n───> 'There were others far more deserving of this honor than I. .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# Nine months later, he was named the 2009 Nobel Peace Prize laureate, accepting the award with the caveat that he felt there were others far more deserving of this honor than I. + +9b76f52f3cb041e4aa541c5c269a592f 0 Nine months later , he was named the 2009 Nobel Peace Prize laureate . + L:UNKNOWN_SUBORDINATION 85e090a60de84de99fa3961e723834b2 + +85e090a60de84de99fa3961e723834b2 1 The 2009 Nobel Peace Prize laureate was accepting the award . + S:UNKNOWN_SUBORDINATION This was with the caveat . + L:UNKNOWN_SUBORDINATION 687dd34691af4b84b8a7eaba8072e3b4 + +687dd34691af4b84b8a7eaba8072e3b4 2 There were others far more deserving of this honor than I. . + S:ATTRIBUTION This was what he felt . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 15/527 # + +'During his first two years in office, Obama signed many landmark bills into law.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + ├────────s────────> 'This was into law .' + └───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + ├───s───> 'This was during his first two years in office .' + └───n───> 'Obama signed many landmark bills .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# During his first two years in office, Obama signed many landmark bills into law. + +6b42004e06b5434c9a3d5d05540a96a5 0 Obama signed many landmark bills . + S:TEMPORAL This was during his first two years in office . + S:UNKNOWN_SUBORDINATION This was into law . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 16/527 # + +'The main reforms were the Patient Protection and Affordable Care Act (often referred to as Obamacare, shortened as the Affordable Care Act), the Dodd–Frank Wall Street Reform and Consumer Protection Act, and the Don't Ask, Don't Tell Repeal Act of 2010.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> 'The main reforms were the Patient Protection and Affordable Care Act -LRB- often referred to as Obamacare , shortened as the Affordable Care Act -RRB- , the Dodd -- Frank Wall Street Reform and Consumer Protection Act , and the Do n't Ask , Do n't Tell Repeal Act of 2010 .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# The main reforms were the Patient Protection and Affordable Care Act (often referred to as Obamacare, shortened as the Affordable Care Act), the Dodd–Frank Wall Street Reform and Consumer Protection Act, and the Don't Ask, Don't Tell Repeal Act of 2010. + +2711ac02c0654431b3eb49454d7bdc06 0 The main reforms were the Patient Protection and Affordable Care Act -LRB- often referred to as Obamacare , shortened as the Affordable Care Act -RRB- , the Dodd -- Frank Wall Street Reform and Consumer Protection Act , and the Do n't Ask , Do n't Tell Repeal Act of 2010 . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 17/527 # + +'The American Recovery and Reinvestment Act of 2009 and Tax Relief, Unemployment Insurance Reauthorization, and Job Creation Act of 2010 served as economic stimulus amidst the Great Recession' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> CO/LIST (NULL, PreListNPExtractor) + ├───n───> 'The American Recovery and Reinvestment Act of 2009 and Tax Relief served as economic stimulus amidst the Great Recession .' + ├───n───> 'Unemployment Insurance Reauthorization served as economic stimulus amidst the Great Recession .' + └───n───> 'Job Creation Act of 2010 served as economic stimulus amidst the Great Recession .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# The American Recovery and Reinvestment Act of 2009 and Tax Relief, Unemployment Insurance Reauthorization, and Job Creation Act of 2010 served as economic stimulus amidst the Great Recession + +5743bf8917cc4b8c96ae65397ffca9bb 0 The American Recovery and Reinvestment Act of 2009 and Tax Relief served as economic stimulus amidst the Great Recession . + L:LIST 708b6290f85942519dbdb6ba0938cc89 + L:LIST d2fe533c55a0447c94fb82c7deebdbd7 + +708b6290f85942519dbdb6ba0938cc89 0 Unemployment Insurance Reauthorization served as economic stimulus amidst the Great Recession . + L:LIST d2fe533c55a0447c94fb82c7deebdbd7 + L:LIST 5743bf8917cc4b8c96ae65397ffca9bb + +d2fe533c55a0447c94fb82c7deebdbd7 0 Job Creation Act of 2010 served as economic stimulus amidst the Great Recession . + L:LIST 5743bf8917cc4b8c96ae65397ffca9bb + L:LIST 708b6290f85942519dbdb6ba0938cc89 + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 18/527 # + +'After a lengthy debate over the national debt limit, he signed the Budget Control and the American Taxpayer Relief Acts.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalInitialExtractor) + ├────────s────────> 'This was after a lengthy debate over the national debt limit .' + └───n───> CO/LIST (NULL, PostListNPExtractor) + ├───n───> 'He signed the Budget Control .' + └───n───> 'He signed the American Taxpayer Relief Acts .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# After a lengthy debate over the national debt limit, he signed the Budget Control and the American Taxpayer Relief Acts. + +e0c8eb6761a54003a9cb0253a33dbeb8 0 He signed the Budget Control . + S:UNKNOWN_SUBORDINATION This was after a lengthy debate over the national debt limit . + L:LIST 5edb52bf52af4c169a50067d96946657 + +5edb52bf52af4c169a50067d96946657 0 He signed the American Taxpayer Relief Acts . + S:UNKNOWN_SUBORDINATION This was after a lengthy debate over the national debt limit . + L:LIST e0c8eb6761a54003a9cb0253a33dbeb8 + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 19/527 # + +'In foreign policy, he increased U.S. troop levels in Afghanistan, reduced nuclear weapons with the United States–Russia New START treaty, and ended military involvement in the Iraq War.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> CO/UNKNOWN_COORDINATION (NULL, SharedNPPostCoordinationExtractor) + ├───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) + | ├────────s────────> 'This was in Afghanistan .' + | └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalInitialExtractor) + | ├───s───> 'This was in foreign policy .' + | └───n───> 'He increased U.S. troop levels .' + ├───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) + | ├────────s────────> 'This was with the United States .' + | └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalInitialExtractor) + | ├───s───> 'This was in foreign policy .' + | └───n───> 'He reduced nuclear weapons -- Russia New START treaty .' + └───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) + ├────────s────────> 'This was in the Iraq War .' + └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalInitialExtractor) + ├───s───> 'This was in foreign policy .' + └───n───> 'He ended military involvement .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# In foreign policy, he increased U.S. troop levels in Afghanistan, reduced nuclear weapons with the United States–Russia New START treaty, and ended military involvement in the Iraq War. + +a440e24fd3394c62bcdb2355826c8897 0 He increased U.S. troop levels . + S:UNKNOWN_SUBORDINATION This was in foreign policy . + S:SPATIAL This was in Afghanistan . + +5f5dd544afc54dd9bee455ddba83beb2 0 He reduced nuclear weapons -- Russia New START treaty . + S:UNKNOWN_SUBORDINATION This was in foreign policy . + S:SPATIAL This was with the United States . + +598fc46f864249818b2333fd20b22687 0 He ended military involvement . + S:UNKNOWN_SUBORDINATION This was in foreign policy . + S:SPATIAL This was in the Iraq War . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 20/527 # + +'He ordered military involvement in Libya in opposition to Muammar Gaddafi; Gaddafi was killed by NATO-assisted forces, and he also ordered the military operation that resulted in the deaths of Osama bin Laden and suspected Yemeni Al-Qaeda operative Anwar al-Awlaki.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> CO/UNKNOWN_COORDINATION (';', CoordinationExtractor) + ├────────n────────> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) + | ├────────s────────> 'This was in Libya in opposition .' + | └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + | ├───s───> 'This was to Muammar Gaddafi .' + | └───n───> 'He ordered military involvement .' + └───n───> CO/LIST (', and', CoordinationExtractor) + ├─────────────n─────────────> 'Gaddafi was killed by NATO-assisted forces .' + └───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) + ├────────s────────> 'Anwar al-Awlaki was Yemeni Al-Qaeda operative .' + └───n───> SUB/IDENTIFYING_DEFINITION ('that', RestrictiveRelativeClauseWhoWhichExtractor) + ├───n───> 'He also ordered the military operation .' + └───s───> 'The military operation resulted in the deaths of Osama bin Laden and suspected Anwar al-Awlaki .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# He ordered military involvement in Libya in opposition to Muammar Gaddafi; Gaddafi was killed by NATO-assisted forces, and he also ordered the military operation that resulted in the deaths of Osama bin Laden and suspected Yemeni Al-Qaeda operative Anwar al-Awlaki. + +64358fc43e4d482789e74c58b70290d1 0 He ordered military involvement . + S:UNKNOWN_SUBORDINATION This was to Muammar Gaddafi . + S:SPATIAL This was in Libya in opposition . + +48ffa67644cd4d9a9eed6aa6adc6c447 0 Gaddafi was killed by NATO-assisted forces . + L:LIST 282834c72f0f432a9b55a42bcfce8adc + +282834c72f0f432a9b55a42bcfce8adc 0 He also ordered the military operation . + L:IDENTIFYING_DEFINITION a5f4d4f3bce847ae91afb2319ccaf325 + L:ELABORATION 0f983263173d4ffc9677b72991a24366 + L:LIST 48ffa67644cd4d9a9eed6aa6adc6c447 + +a5f4d4f3bce847ae91afb2319ccaf325 1 The military operation resulted in the deaths of Osama bin Laden and suspected Anwar al-Awlaki . + +0f983263173d4ffc9677b72991a24366 1 Anwar al-Awlaki was Yemeni Al-Qaeda operative . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 21/527 # + +'After winning re-election by defeating Republican opponent Mitt Romney, Obama was sworn in for a second term in 2013.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) + ├─────────────s─────────────> 'Mitt Romney was Republican opponent .' + └───n───> SUB/TEMPORAL_BEFORE ('After', SharedNPPreParticipalExtractor) + ├───s───> CO/UNKNOWN_COORDINATION (NULL, SharedNPPostParticipalExtractor) + | ├───n───> 'Obama was winning re-election .' + | └───n───> 'Obama was defeating Mitt Romney .' + └────────n────────> 'Obama was sworn in for a second term in 2013 .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# After winning re-election by defeating Republican opponent Mitt Romney, Obama was sworn in for a second term in 2013. + +315170186cc24adcbb2dc93972f41ff1 0 Obama was sworn in for a second term in 2013 . + L:TEMPORAL_BEFORE 4b25f807477a405bb9d8d67836e64a11 + L:TEMPORAL_BEFORE 72920602d9494d07b4c8af88f3782650 + L:ELABORATION 7fc218fafb664e0fb75b9176360de100 + +4b25f807477a405bb9d8d67836e64a11 1 Obama was winning re-election . + +72920602d9494d07b4c8af88f3782650 1 Obama was defeating Mitt Romney . + +7fc218fafb664e0fb75b9176360de100 1 Mitt Romney was Republican opponent . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 22/527 # + +'During this term, he promoted inclusiveness for LGBT Americans.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + ├────────s────────> 'This was for LGBT Americans .' + └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalInitialExtractor) + ├───s───> 'This was during this term .' + └───n───> 'He promoted inclusiveness .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# During this term, he promoted inclusiveness for LGBT Americans. + +7fbeebd6d94847e292b6ff0a77ee7c88 0 He promoted inclusiveness . + S:UNKNOWN_SUBORDINATION This was during this term . + S:UNKNOWN_SUBORDINATION This was for LGBT Americans . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 23/527 # + +'His administration filed briefs that urged the Supreme Court to strike down same-sex marriage bans as unconstitutional (United States v. Windsor and Obergefell v. Hodges); same-sex marriage was fully legalized in 2015 after the Court ruled that a same-sex marriage ban was unconstitutional in Obergefell.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> CO/UNKNOWN_COORDINATION (';', CoordinationExtractor) + ├───n───> SUB/IDENTIFYING_DEFINITION ('that', RestrictiveRelativeClauseWhoWhichExtractor) + | ├────────n────────> 'His administration filed briefs .' + | └───s───> CO/LIST (NULL, PostListNPExtractor) + | ├───n───> 'Briefs urged the Supreme Court to strike down same-sex marriage bans as unconstitutional -LRB- United States v. Windsor -RRB- .' + | └───n───> 'Briefs urged the Supreme Court to strike down same-sex marriage bans as unconstitutional -LRB- Obergefell v. Hodges -RRB- .' + └───n───> SUB/TEMPORAL_BEFORE ('after', SubordinationPostExtractor) + ├────────n────────> 'Same-sex marriage was fully legalized in 2015 .' + └───s───> SUB/UNKNOWN_SUBORDINATION ('that', SubordinationPostExtractor) + ├───n───> 'The Court ruled .' + └───s───> 'A same-sex marriage ban was unconstitutional in Obergefell .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# His administration filed briefs that urged the Supreme Court to strike down same-sex marriage bans as unconstitutional (United States v. Windsor and Obergefell v. Hodges); same-sex marriage was fully legalized in 2015 after the Court ruled that a same-sex marriage ban was unconstitutional in Obergefell. + +01c5a2075e794dbf9c9fad4ea1b2dcdc 0 His administration filed briefs . + L:IDENTIFYING_DEFINITION 5c9f45b75b324404a4bf3e492b75f13c + L:IDENTIFYING_DEFINITION a78192a1a8cd4028af0947d78c2871fd + +5c9f45b75b324404a4bf3e492b75f13c 1 Briefs urged the Supreme Court to strike down same-sex marriage bans as unconstitutional -LRB- United States v. Windsor -RRB- . + L:LIST a78192a1a8cd4028af0947d78c2871fd + +a78192a1a8cd4028af0947d78c2871fd 1 Briefs urged the Supreme Court to strike down same-sex marriage bans as unconstitutional -LRB- Obergefell v. Hodges -RRB- . + L:LIST 5c9f45b75b324404a4bf3e492b75f13c + +501d73449d1048899b66534cd880d5d0 0 Same-sex marriage was fully legalized in 2015 . + L:TEMPORAL_BEFORE 329c78e5108a4d94b69c619a28f10b5a + +329c78e5108a4d94b69c619a28f10b5a 1 The Court ruled . + L:UNKNOWN_SUBORDINATION 70e752d0d43849ca8c9174a5ef8668a3 + +70e752d0d43849ca8c9174a5ef8668a3 2 A same-sex marriage ban was unconstitutional in Obergefell . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 24/527 # + +'He advocated for gun control in response to the Sandy Hook Elementary School shooting, indicating support for a ban on assault weapons, and issued wide-ranging executive actions concerning climate change and immigration.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> CO/LIST (', and', SharedNPPostCoordinationExtractor) + ├───n───> CO/UNKNOWN_COORDINATION (NULL, SharedNPPostParticipalExtractor) + | ├───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + | | ├────────s────────> 'This was to the Sandy Hook Elementary School shooting .' + | | └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + | | ├───s───> 'This was in response .' + | | └───n───> 'He advocated for gun control .' + | └────────n────────> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + | ├───s───> 'This was for a ban on assault weapons .' + | └───n───> 'He was indicating support .' + └──────────────────n──────────────────> 'He issued wide-ranging executive actions concerning climate change and immigration .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# He advocated for gun control in response to the Sandy Hook Elementary School shooting, indicating support for a ban on assault weapons, and issued wide-ranging executive actions concerning climate change and immigration. + +b61c5e15d55342c4bd46128783474935 0 He advocated for gun control . + S:UNKNOWN_SUBORDINATION This was in response . + S:UNKNOWN_SUBORDINATION This was to the Sandy Hook Elementary School shooting . + L:LIST 1ced4e22ceb9422aba2df842f93e2c91 + +6576317b709e441db06f41c9030bc37b 0 He was indicating support . + S:UNKNOWN_SUBORDINATION This was for a ban on assault weapons . + L:LIST 1ced4e22ceb9422aba2df842f93e2c91 + +1ced4e22ceb9422aba2df842f93e2c91 0 He issued wide-ranging executive actions concerning climate change and immigration . + L:LIST b61c5e15d55342c4bd46128783474935 + L:LIST 6576317b709e441db06f41c9030bc37b + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 25/527 # + +'In foreign policy, he ordered military intervention in Iraq in response to gains made by ISIL after the 2011 withdrawal from Iraq, continued the process of ending U.S. combat operations in Afghanistan, promoted discussions that led to the 2015 Paris Agreement on global climate change, initiated sanctions against Russia following the invasion in Ukraine and again after Russian interference in the 2016 United States elections, brokered a nuclear deal with Iran, and normalized U.S. relations with Cuba.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> CO/UNKNOWN_COORDINATION (NULL, SharedNPPostCoordinationExtractor) + ├───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) + | ├────────────────────────────s────────────────────────────> 'This was in Iraq .' + | └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + | ├───────────────────────s───────────────────────> 'This was in response .' + | └───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) + | ├───s───> SUB/IDENTIFYING_DEFINITION ('', RestrictiveParticipialExtractor) + | | ├─────────────n─────────────> 'This was to gains .' + | | └───s───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) + | | ├────────s────────> 'This was after the 2011 withdrawal .' + | | └───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) + | | ├───s───> 'This was from Iraq .' + | | └───n───> 'Gains were made by ISIL .' + | └─────────────n─────────────> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalInitialExtractor) + | ├───s───> 'This was in foreign policy .' + | └───n───> 'He ordered military intervention .' + ├────────────────────────────n────────────────────────────> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalInitialExtractor) + | ├───s───> 'This was in foreign policy .' + | └───n───> 'He continued the process of ending U.S. combat operations in Afghanistan .' + ├───────────────────────n───────────────────────> SUB/IDENTIFYING_DEFINITION ('that', RestrictiveRelativeClauseWhoWhichExtractor) + | ├───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalInitialExtractor) + | | ├───s───> 'This was in foreign policy .' + | | └───n───> 'He promoted discussions .' + | └───s───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + | ├───s───> 'This was on global climate change .' + | └───n───> 'Discussions led to the 2015 Paris Agreement .' + ├───────────────────────n───────────────────────> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) + | ├───s───> CO/LIST (NULL, PostListNPExtractor) + | | ├───n───> 'This was against Russia following the invasion in Ukraine .' + | | └───n───> 'This was against Russia following again after Russian interference in the 2016 United States elections .' + | └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalInitialExtractor) + | ├───s───> 'This was in foreign policy .' + | └───n───> 'He initiated sanctions .' + ├───────────────────────n───────────────────────> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) + | ├────────s────────> 'This was with Iran .' + | └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalInitialExtractor) + | ├───s───> 'This was in foreign policy .' + | └───n───> 'He brokered a nuclear deal .' + └───────────────────────n───────────────────────> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) + ├────────s────────> 'This was with Cuba .' + └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalInitialExtractor) + ├───s───> 'This was in foreign policy .' + └───n───> 'He normalized U.S. relations .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# In foreign policy, he ordered military intervention in Iraq in response to gains made by ISIL after the 2011 withdrawal from Iraq, continued the process of ending U.S. combat operations in Afghanistan, promoted discussions that led to the 2015 Paris Agreement on global climate change, initiated sanctions against Russia following the invasion in Ukraine and again after Russian interference in the 2016 United States elections, brokered a nuclear deal with Iran, and normalized U.S. relations with Cuba. + +a5acacdda4f744868cc5e7a746f55e38 0 He ordered military intervention . + S:UNKNOWN_SUBORDINATION This was in foreign policy . + S:UNKNOWN_SUBORDINATION This was in response . + S:SPATIAL This was in Iraq . + L:SPATIAL eca5cb9b0a7943f78aa84231331c5306 + +eca5cb9b0a7943f78aa84231331c5306 1 This was to gains . + L:IDENTIFYING_DEFINITION 138b435902ca41cda010815d95e59bd2 + +138b435902ca41cda010815d95e59bd2 2 Gains were made by ISIL . + S:SPATIAL This was from Iraq . + S:TEMPORAL This was after the 2011 withdrawal . + +3d89b52fffd3407c95c1df49f04656b4 0 He continued the process of ending U.S. combat operations in Afghanistan . + S:UNKNOWN_SUBORDINATION This was in foreign policy . + +42326b4e888843de92e37ad4c855496a 0 He promoted discussions . + S:UNKNOWN_SUBORDINATION This was in foreign policy . + L:IDENTIFYING_DEFINITION a8972274335a4852af27887e931c18ad + +a8972274335a4852af27887e931c18ad 1 Discussions led to the 2015 Paris Agreement . + S:UNKNOWN_SUBORDINATION This was on global climate change . + +03c9f72b408144efba534c3c60af6e9d 0 He initiated sanctions . + S:UNKNOWN_SUBORDINATION This was in foreign policy . + L:SPATIAL 0e88d9c082be4be9901b10f45fe25eb7 + L:SPATIAL 10e5375de51f4e369d41cef33485da51 + +0e88d9c082be4be9901b10f45fe25eb7 1 This was against Russia following the invasion in Ukraine . + L:LIST 10e5375de51f4e369d41cef33485da51 + +10e5375de51f4e369d41cef33485da51 1 This was against Russia following again after Russian interference in the 2016 United States elections . + L:LIST 0e88d9c082be4be9901b10f45fe25eb7 + +24ee63080118419888cdacb351cfb9bd 0 He brokered a nuclear deal . + S:UNKNOWN_SUBORDINATION This was in foreign policy . + S:SPATIAL This was with Iran . + +91d78740493c419d963866e2704e213c 0 He normalized U.S. relations . + S:UNKNOWN_SUBORDINATION This was in foreign policy . + S:SPATIAL This was with Cuba . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 26/527 # + +'Obama left office in January 2017 with a 60% approval rating and currently resides in Washington, D.C.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> CO/LIST ('and', SharedNPPostCoordinationExtractor) + ├───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) + | ├────────s────────> 'This was in January 2017 .' + | └───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) + | ├───s───> 'This was with a 60 % approval rating .' + | └───n───> 'Obama left office .' + └─────────────n─────────────> 'Obama currently resides in Washington , D.C. .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# Obama left office in January 2017 with a 60% approval rating and currently resides in Washington, D.C. + +ae257aebb1ff478c9bbfa695bcdcdb39 0 Obama left office . + S:TEMPORAL This was with a 60 % approval rating . + S:TEMPORAL This was in January 2017 . + L:LIST d98482ce4aea4afca034fec11d3942d3 + +d98482ce4aea4afca034fec11d3942d3 0 Obama currently resides in Washington , D.C. . + L:LIST ae257aebb1ff478c9bbfa695bcdcdb39 + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 27/527 # + +'Since then, his presidency has been favorably ranked by historians and the general public.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalInitialExtractor) + ├────────s────────> 'This was since then .' + └───n───> CO/LIST (NULL, PostListNPExtractor) + ├───n───> 'His presidency has been favorably ranked by historians .' + └───n───> 'His presidency has been favorably ranked by the general public .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# Since then, his presidency has been favorably ranked by historians and the general public. + +3b11d6a8c468428dbc7b741e49ec37ff 0 His presidency has been favorably ranked by historians . + S:UNKNOWN_SUBORDINATION This was since then . + L:LIST b0aa6da1966342f0858436eece1bf051 + +b0aa6da1966342f0858436eece1bf051 0 His presidency has been favorably ranked by the general public . + S:UNKNOWN_SUBORDINATION This was since then . + L:LIST 3b11d6a8c468428dbc7b741e49ec37ff + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 28/527 # + +'He also had a high global approval rating, and the United States' reputation saw a dramatic upward shift during his presidency.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> CO/LIST (', and', CoordinationExtractor) + ├────────n────────> 'He also had a high global approval rating .' + └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + ├───s───> 'This was during his presidency .' + └───n───> 'The United States ' reputation saw a dramatic upward shift .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# He also had a high global approval rating, and the United States' reputation saw a dramatic upward shift during his presidency. + +e0f30df9345944ef95ca4110cf67d563 0 He also had a high global approval rating . + L:LIST 37f4db11f4774beebbadacda59abe644 + +37f4db11f4774beebbadacda59abe644 0 The United States ' reputation saw a dramatic upward shift . + S:UNKNOWN_SUBORDINATION This was during his presidency . + L:LIST e0f30df9345944ef95ca4110cf67d563 + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 29/527 # + +'Obama was born on August 4, 1961, at Kapiolani Medical Center for Women and Children in Honolulu, Hawaii.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) + ├────────s────────> 'This was at Kapiolani Medical Center for Women and Children .' + └───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) + ├───s───> 'This was in Honolulu , Hawaii .' + └───n───> 'Obama was born on August 4 , 1961 .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# Obama was born on August 4, 1961, at Kapiolani Medical Center for Women and Children in Honolulu, Hawaii. + +6f562ec4fca846048678e3c773e4a469 0 Obama was born on August 4 , 1961 . + S:SPATIAL This was in Honolulu , Hawaii . + S:SPATIAL This was at Kapiolani Medical Center for Women and Children . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 30/527 # + +'He is the only President who was born in Hawaii and the only President who was born outside of the contiguous 48 states.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/IDENTIFYING_DEFINITION ('who', RestrictiveRelativeClauseWhoWhichExtractor) + ├───n───> SUB/IDENTIFYING_DEFINITION ('who', RestrictiveRelativeClauseWhoWhichExtractor) + | ├───n───> CO/LIST (NULL, PostListNPExtractor) + | | ├───n───> 'He is the only President .' + | | └───n───> 'He is the only President .' + | └────────s────────> 'The only President was born outside of the contiguous 48 states .' + └─────────────s─────────────> 'The only President was born in Hawaii .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# He is the only President who was born in Hawaii and the only President who was born outside of the contiguous 48 states. + +2e44601d79254426a73d56207e00c36b 0 He is the only President . + L:LIST f50f90f79f694a4a9cca04635369d1d6 + L:IDENTIFYING_DEFINITION d4c5a93bcea14adbbc751df16072103e + L:IDENTIFYING_DEFINITION 7bb0fd9a08cb435ca5cdd447a5b645a8 + +f50f90f79f694a4a9cca04635369d1d6 0 He is the only President . + L:LIST 2e44601d79254426a73d56207e00c36b + L:IDENTIFYING_DEFINITION d4c5a93bcea14adbbc751df16072103e + L:IDENTIFYING_DEFINITION 7bb0fd9a08cb435ca5cdd447a5b645a8 + +d4c5a93bcea14adbbc751df16072103e 1 The only President was born outside of the contiguous 48 states . + +7bb0fd9a08cb435ca5cdd447a5b645a8 1 The only President was born in Hawaii . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 31/527 # + +'He was born to a white mother and a black father.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> CO/LIST (NULL, PostListNPExtractor) + ├───n───> 'He was born to a white mother .' + └───n───> 'He was born to a black father .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# He was born to a white mother and a black father. + +5fe0db2e252a43a68cd4bc91c436c3c4 0 He was born to a white mother . + L:LIST 3220563bb8224779807b27eef3a373ef + +3220563bb8224779807b27eef3a373ef 0 He was born to a black father . + L:LIST 5fe0db2e252a43a68cd4bc91c436c3c4 + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 32/527 # + +'His mother, Ann Dunham (1942–1995), was born in Wichita, Kansas; she was mostly of English descent, with some German, Irish, Scottish, Swiss, and Welsh ancestry.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> CO/UNKNOWN_COORDINATION (';', CoordinationExtractor) + ├───n───> SUB/ELABORATION (NULL, NonRestrictiveAppositionExtractor) + | ├───s───> 'Ann Dunham -LRB- 1942 -- 1995 -RRB- was his mother .' + | └───n───> 'His mother was born in Wichita , Kansas .' + └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalMiddleFinalExtractor) + ├───s───> 'This was with some German , Irish , Scottish , Swiss , and Welsh ancestry .' + └───n───> 'She was mostly of English descent .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# His mother, Ann Dunham (1942–1995), was born in Wichita, Kansas; she was mostly of English descent, with some German, Irish, Scottish, Swiss, and Welsh ancestry. + +b5abb7833f924439901c46b9bae46d10 0 His mother was born in Wichita , Kansas . + L:ELABORATION 665b594f18ef4603beb778be253f0e77 + +665b594f18ef4603beb778be253f0e77 1 Ann Dunham -LRB- 1942 -- 1995 -RRB- was his mother . + +8ed3154467864eaea531e364c3fa0d33 0 She was mostly of English descent . + S:UNKNOWN_SUBORDINATION This was with some German , Irish , Scottish , Swiss , and Welsh ancestry . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 33/527 # + +'His father, Barack Obama Sr.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> 'His father , Barack Obama Sr. .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# His father, Barack Obama Sr. + +3a0fff848e6f4659b4a291eb35d78b4a 0 His father , Barack Obama Sr. . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 34/527 # + +'(1936–1982), was a married Luo Kenyan man from Nyang'oma Kogelo.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> '-LRB- 1936 -- 1982 -RRB- , was a married Luo Kenyan man from Nyang ` oma Kogelo .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# (1936–1982), was a married Luo Kenyan man from Nyang'oma Kogelo. + +7688e3fc44b94bc6909ee6da3ae4648e 0 -LRB- 1936 -- 1982 -RRB- , was a married Luo Kenyan man from Nyang ` oma Kogelo . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 35/527 # + +'Obama's parents met in 1960 in a Russian language class at the University of Hawaii at Manoa, where his father was a foreign student on a scholarship.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/SPATIAL (NULL, NonRestrictiveRelativeClauseWhereExtractor) + ├───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + | ├────────s────────> 'This was in a Russian language class at the University of Hawaii .' + | └───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) + | ├───s───> 'This was at Manoa .' + | └───n───> 'Obama 's parents met in 1960 .' + └─────────────s─────────────> 'His father was a foreign student on a scholarship .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# Obama's parents met in 1960 in a Russian language class at the University of Hawaii at Manoa, where his father was a foreign student on a scholarship. + +7dc359e9255842ce870bd4665d7fdbde 0 Obama 's parents met in 1960 . + S:SPATIAL This was at Manoa . + S:UNKNOWN_SUBORDINATION This was in a Russian language class at the University of Hawaii . + L:SPATIAL e62f9b42943f4fbb8f154cdf030cff22 + +e62f9b42943f4fbb8f154cdf030cff22 1 His father was a foreign student on a scholarship . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 36/527 # + +'The couple married in Wailuku, Hawaii on February 2, 1961, six months before Obama was born.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/TEMPORAL_AFTER ('before', SubordinationPostExtractor) + ├───n───> 'The couple married in Wailuku , Hawaii on February 2 , 1961 , six months .' + └───s───> 'Obama was born .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# The couple married in Wailuku, Hawaii on February 2, 1961, six months before Obama was born. + +98c12cc147ad4b29a5f1d6a508ba6245 0 The couple married in Wailuku , Hawaii on February 2 , 1961 , six months . + L:TEMPORAL_AFTER 004277ba392d4a818b14281a13d0da04 + +004277ba392d4a818b14281a13d0da04 1 Obama was born . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 37/527 # + +'In late August 1961 (only a few weeks after he was born), Barack and his mother moved to the University of Washington in Seattle, where they lived for a year.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/SPATIAL (NULL, NonRestrictiveRelativeClauseWhereExtractor) + ├───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) + | ├─────────────s─────────────> 'This was in Seattle .' + | └───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + | ├────────s────────> 'This was in late August 1961 -LRB- only a few weeks after he was born -RRB- .' + | └───n───> CO/LIST (NULL, PreListNPExtractor) + | ├───n───> 'Barack moved to the University of Washington .' + | └───n───> 'His mother moved to the University of Washington .' + └──────────────────s──────────────────> 'They lived for a year .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# In late August 1961 (only a few weeks after he was born), Barack and his mother moved to the University of Washington in Seattle, where they lived for a year. + +00d83b5943944c55a4dcbed4a5cdac63 0 Barack moved to the University of Washington . + S:TEMPORAL This was in late August 1961 -LRB- only a few weeks after he was born -RRB- . + S:SPATIAL This was in Seattle . + L:LIST e4d194b484f54a949e0a7ce3f0c4398a + L:SPATIAL 2b29cf657aa446febd6d4839df90d763 + +e4d194b484f54a949e0a7ce3f0c4398a 0 His mother moved to the University of Washington . + S:TEMPORAL This was in late August 1961 -LRB- only a few weeks after he was born -RRB- . + S:SPATIAL This was in Seattle . + L:LIST 00d83b5943944c55a4dcbed4a5cdac63 + L:SPATIAL 2b29cf657aa446febd6d4839df90d763 + +2b29cf657aa446febd6d4839df90d763 1 They lived for a year . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 38/527 # + +'During that time, the elder Obama completed his undergraduate degree in economics in Hawaii, graduating in June 1962.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> CO/UNKNOWN_COORDINATION (NULL, SharedNPPostParticipalExtractor) + ├───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + | ├─────────────s─────────────> 'This was in economics .' + | └───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) + | ├────────s────────> 'This was in Hawaii .' + | └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalInitialExtractor) + | ├───s───> 'This was during that time .' + | └───n───> 'The elder Obama completed his undergraduate degree .' + └─────────────n─────────────> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalInitialExtractor) + ├───s───> 'This was during that time .' + └───n───> 'The elder Obama was graduating in June 1962 .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# During that time, the elder Obama completed his undergraduate degree in economics in Hawaii, graduating in June 1962. + +34e003ef2e7b4f00af8703c4f572e21e 0 The elder Obama completed his undergraduate degree . + S:UNKNOWN_SUBORDINATION This was during that time . + S:SPATIAL This was in Hawaii . + S:UNKNOWN_SUBORDINATION This was in economics . + +998c5e044cc64f1281ae307cbd8680be 0 The elder Obama was graduating in June 1962 . + S:UNKNOWN_SUBORDINATION This was during that time . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 39/527 # + +'He then left to attend graduate school on a scholarship at Harvard University, where he earned an M.A. in economics.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/SPATIAL (NULL, NonRestrictiveRelativeClauseWhereExtractor) + ├───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + | ├───s───> 'This was on a scholarship at Harvard University .' + | └───n───> 'He then left to attend graduate school .' + └───s───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + ├───s───> 'This was in economics .' + └───n───> 'He earned an M.A. .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# He then left to attend graduate school on a scholarship at Harvard University, where he earned an M.A. in economics. + +5d3a157771b34e85ab6489d552ee74eb 0 He then left to attend graduate school . + S:UNKNOWN_SUBORDINATION This was on a scholarship at Harvard University . + L:SPATIAL 72e9b54e1a514b308ba33d84769e01cf + +72e9b54e1a514b308ba33d84769e01cf 1 He earned an M.A. . + S:UNKNOWN_SUBORDINATION This was in economics . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 40/527 # + +'Obama's parents divorced in March 1964.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> 'Obama 's parents divorced in March 1964 .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# Obama's parents divorced in March 1964. + +71c6eb2ff9d34a4bab9edb94300d29fe 0 Obama 's parents divorced in March 1964 . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 41/527 # + +'Obama Sr. returned to Kenya in 1964, where he married for a third time.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/SPATIAL (NULL, NonRestrictiveRelativeClauseWhereExtractor) + ├───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) + | ├───s───> 'This was in 1964 .' + | └───n───> 'Obama Sr. returned to Kenya .' + └────────s────────> 'He married for a third time .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# Obama Sr. returned to Kenya in 1964, where he married for a third time. + +87de8d0fe0f34fc7a650141424c12c39 0 Obama Sr. returned to Kenya . + S:TEMPORAL This was in 1964 . + L:SPATIAL 1e27acb7253f4a4684ceed8da4c2a039 + +1e27acb7253f4a4684ceed8da4c2a039 1 He married for a third time . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 42/527 # + +'He visited his son in Hawaii only once, at Christmas time in 1971, before he was killed in an automobile accident in 1982, when Obama was 21 years old.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/SPATIAL (NULL, NonRestrictiveRelativeClauseWhereExtractor) + ├───n───> SUB/TEMPORAL_AFTER ('before', SubordinationPostExtractor) + | ├───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) + | | ├────────s────────> 'This was in Hawaii .' + | | └───n───> SUB/TEMPORAL (NULL, PrepositionalMiddleFinalExtractor) + | | ├───s───> 'This was at Christmas time in 1971 .' + | | └───n───> 'He visited his son only once .' + | └─────────────s─────────────> 'He was killed in an automobile accident in 1982 .' + └──────────────────s──────────────────> 'Obama was 21 years old .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# He visited his son in Hawaii only once, at Christmas time in 1971, before he was killed in an automobile accident in 1982, when Obama was 21 years old. + +91554378d6ad47768f2d6a7b2517e6a7 0 He visited his son only once . + S:TEMPORAL This was at Christmas time in 1971 . + S:SPATIAL This was in Hawaii . + L:TEMPORAL_AFTER c6efb5e19dcd4abea71b237238bee02a + L:SPATIAL e171fe9ac23948679e3f68f875f31c87 + +c6efb5e19dcd4abea71b237238bee02a 1 He was killed in an automobile accident in 1982 . + +e171fe9ac23948679e3f68f875f31c87 1 Obama was 21 years old . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 43/527 # + +'Recalling his early childhood, Obama said, That my father looked nothing like the people around me – that he was black as pitch, my mother white as milk – barely registered in my mind.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/ELABORATION (NULL, NonRestrictiveAppositionExtractor) + ├─────────────s─────────────> 'Pitch was my mother white .' + └───n───> CO/UNKNOWN_COORDINATION ('', SharedNPPreParticipalExtractor) + ├────────n────────> 'Obama was recalling his early childhood .' + └───n───> SUB/ATTRIBUTION (NULL, SubordinationPostAttributionExtractor) + ├───s───> 'This was what Obama said .' + └───n───> 'That my father looked nothing like the people around me -- that he was black as pitch as milk -- barely registered in my mind .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# Recalling his early childhood, Obama said, That my father looked nothing like the people around me – that he was black as pitch, my mother white as milk – barely registered in my mind. + +83b167094895453aa4a0505fa9e18558 0 Obama was recalling his early childhood . + L:ELABORATION fc16fe27b9e6454786ec4fd8dd9c5a8e + +f46108fe1dbe4f00a39dbd6d9f2ef7a4 0 That my father looked nothing like the people around me -- that he was black as pitch as milk -- barely registered in my mind . + S:ATTRIBUTION This was what Obama said . + L:ELABORATION fc16fe27b9e6454786ec4fd8dd9c5a8e + +fc16fe27b9e6454786ec4fd8dd9c5a8e 1 Pitch was my mother white . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 44/527 # + +'He described his struggles as a young adult to reconcile social perceptions of his multiracial heritage.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/PURPOSE (NULL, PurposePostExtractor) + ├───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + | ├───s───> 'This was as a young adult .' + | └───n───> 'He described his struggles .' + └────────s────────> 'This was to reconcile social perceptions of his multiracial heritage .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# He described his struggles as a young adult to reconcile social perceptions of his multiracial heritage. + +ed011e3e841d4a9789238da4bebc8d13 0 He described his struggles . + S:UNKNOWN_SUBORDINATION This was as a young adult . + S:PURPOSE This was to reconcile social perceptions of his multiracial heritage . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 45/527 # + +'In 1963, Dunham met Lolo Soetoro at the University of Hawaii; he was an Indonesian East–West Center graduate student in geography.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> CO/UNKNOWN_COORDINATION (';', CoordinationExtractor) + ├───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + | ├───s───> 'This was in 1963 .' + | └───n───> 'Dunham met Lolo Soetoro at the University of Hawaii .' + └────────n────────> 'He was an Indonesian East -- West Center graduate student in geography .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# In 1963, Dunham met Lolo Soetoro at the University of Hawaii; he was an Indonesian East–West Center graduate student in geography. + +8a4792d278ba48d2bf16b988dcd69325 0 Dunham met Lolo Soetoro at the University of Hawaii . + S:TEMPORAL This was in 1963 . + +d818221d61e04f7c909ed3a7a1546458 0 He was an Indonesian East -- West Center graduate student in geography . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 46/527 # + +'The couple married on Molokai on March 15, 1965.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) + ├───s───> 'This was on March 15 , 1965 .' + └───n───> 'The couple married on Molokai .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# The couple married on Molokai on March 15, 1965. + +9552b6d8229f42a2967ef7bac04b3508 0 The couple married on Molokai . + S:TEMPORAL This was on March 15 , 1965 . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 47/527 # + +'After two one-year extensions of his J-1 visa, Lolo returned to Indonesia in 1966.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) + ├────────s────────> 'This was in 1966 .' + └───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + ├───s───> 'This was after two one-year extensions of his J-1 visa .' + └───n───> 'Lolo returned to Indonesia .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# After two one-year extensions of his J-1 visa, Lolo returned to Indonesia in 1966. + +5dda3e0e107d42ab8aa394864f3362a0 0 Lolo returned to Indonesia . + S:TEMPORAL This was after two one-year extensions of his J-1 visa . + S:TEMPORAL This was in 1966 . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 48/527 # + +'His wife and stepson followed sixteen months later in 1967.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> 'His wife and stepson followed sixteen months later in 1967 .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# His wife and stepson followed sixteen months later in 1967. + +6cf1b5ec01af4ad7853859fde0c10662 0 His wife and stepson followed sixteen months later in 1967 . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 49/527 # + +'The family initially lived in a Menteng Dalam neighborhood in the Tebet subdistrict of south Jakarta.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) + ├───s───> 'This was in the Tebet subdistrict of south Jakarta .' + └───n───> 'The family initially lived in a Menteng Dalam neighborhood .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# The family initially lived in a Menteng Dalam neighborhood in the Tebet subdistrict of south Jakarta. + +fdfa73c32b374e1e9ad1f51e0088627e 0 The family initially lived in a Menteng Dalam neighborhood . + S:SPATIAL This was in the Tebet subdistrict of south Jakarta . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 50/527 # + +'From 1970, they lived in a wealthier neighborhood in the Menteng subdistrict of central Jakarta.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) + ├────────s────────> 'This was in the Menteng subdistrict of central Jakarta .' + └───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + ├───s───> 'This was from 1970 .' + └───n───> 'They lived in a wealthier neighborhood .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# From 1970, they lived in a wealthier neighborhood in the Menteng subdistrict of central Jakarta. + +9b7000ab8626478b928ad8aeb20ff041 0 They lived in a wealthier neighborhood . + S:TEMPORAL This was from 1970 . + S:SPATIAL This was in the Menteng subdistrict of central Jakarta . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 51/527 # + +'From age six to ten, Obama attended local Indonesian-language schools: Sekolah Dasar Katolik Santo Fransiskus' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + ├───s───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) + | ├───s───> 'This was to ten .' + | └───n───> 'This was from age six .' + └────────n────────> 'Obama attended local Indonesian-language schools : Sekolah Dasar Katolik Santo Fransiskus .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# From age six to ten, Obama attended local Indonesian-language schools: Sekolah Dasar Katolik Santo Fransiskus + +eeb5c426a6ab4954879a4c546fc45292 0 Obama attended local Indonesian-language schools : Sekolah Dasar Katolik Santo Fransiskus . + L:TEMPORAL e57336b84fce4c11a2ac6c719fe0960e + +e57336b84fce4c11a2ac6c719fe0960e 1 This was from age six . + S:TEMPORAL This was to ten . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 52/527 # + +'Asisi (St. Francis of Assisi Catholic Elementary School) for two years and Sekolah Dasar Negeri Menteng 01' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> 'Asisi -LRB- St. Francis of Assisi Catholic Elementary School -RRB- for two years and Sekolah Dasar Negeri Menteng 01' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# Asisi (St. Francis of Assisi Catholic Elementary School) for two years and Sekolah Dasar Negeri Menteng 01 + +dc4753735b8e4df19e718ff1294c6032 0 Asisi -LRB- St. Francis of Assisi Catholic Elementary School -RRB- for two years and Sekolah Dasar Negeri Menteng 01 + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 53/527 # + +'(State Elementary School Menteng 01/Besuki' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> '-LRB- State Elementary School Menteng 01/Besuki' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# (State Elementary School Menteng 01/Besuki + +f8639320f52d4f28813a79e8ff951440 0 -LRB- State Elementary School Menteng 01/Besuki + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 54/527 # + +'Public School) for one and a half years, supplemented by English-language Calvert School homeschooling by his mother.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + ├───s───> 'This was by his mother .' + └───n───> 'Public School -RRB- for one and a half years , supplemented by English-language Calvert School homeschooling .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# Public School) for one and a half years, supplemented by English-language Calvert School homeschooling by his mother. + +91e477001aa7478789d4af0cf20df1e0 0 Public School -RRB- for one and a half years , supplemented by English-language Calvert School homeschooling . + S:UNKNOWN_SUBORDINATION This was by his mother . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 55/527 # + +'As a result of those four years in Jakarta, he was able to speak Indonesian fluently as a child.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/SPATIAL (NULL, PrepositionalInitialExtractor) + ├───s───> 'This was as a result of those four years in Jakarta .' + └───n───> 'He was able to speak Indonesian fluently as a child .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# As a result of those four years in Jakarta, he was able to speak Indonesian fluently as a child. + +8135a399f01e471ca7e7de2c81f72eae 0 He was able to speak Indonesian fluently as a child . + S:SPATIAL This was as a result of those four years in Jakarta . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 56/527 # + +'During his time in Indonesia, Obama's step-father taught him to be resilient and gave him a pretty hardheaded assessment of how the world works.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> CO/LIST ('and', SharedNPPostCoordinationExtractor) + ├───n───> SUB/SPATIAL (NULL, PrepositionalInitialExtractor) + | ├───s───> 'This was during his time in Indonesia .' + | └───n───> 'Obama 's step-father taught him to be resilient .' + └───n───> SUB/SPATIAL (NULL, PrepositionalInitialExtractor) + ├───s───> 'This was during his time in Indonesia .' + └───n───> 'Obama 's step-father gave him a pretty hardheaded assessment of how the world works .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# During his time in Indonesia, Obama's step-father taught him to be resilient and gave him a pretty hardheaded assessment of how the world works. + +efc311677d844cafa8b1f6d2ef288277 0 Obama 's step-father taught him to be resilient . + S:SPATIAL This was during his time in Indonesia . + L:LIST e1acac9033044a53941387c3a04d59f6 + +e1acac9033044a53941387c3a04d59f6 0 Obama 's step-father gave him a pretty hardheaded assessment of how the world works . + S:SPATIAL This was during his time in Indonesia . + L:LIST efc311677d844cafa8b1f6d2ef288277 + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 57/527 # + +'In 1971, Obama returned to Honolulu to live with his maternal grandparents, Madelyn and Stanley Dunham.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/PURPOSE (NULL, PurposePostExtractor) + ├───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + | ├───s───> 'This was in 1971 .' + | └───n───> 'Obama returned to Honolulu .' + └────────s────────> 'This was to live with his maternal grandparents , Madelyn and Stanley Dunham .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# In 1971, Obama returned to Honolulu to live with his maternal grandparents, Madelyn and Stanley Dunham. + +a8c61cbadb424d4f8fedb8f82886f7d6 0 Obama returned to Honolulu . + S:TEMPORAL This was in 1971 . + S:PURPOSE This was to live with his maternal grandparents , Madelyn and Stanley Dunham . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 58/527 # + +'He attended Punahou School, a private college preparatory school, with the aid of a scholarship from fifth grade until he graduated from high school in 1979.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/ELABORATION (NULL, NonRestrictiveAppositionExtractor) + ├─────────────s─────────────> 'Punahou School was a private college preparatory school .' + └───n───> SUB/CONDITION ('until', SubordinationPostExtractor) + ├───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + | ├───s───> 'This was with the aid of a scholarship .' + | └───n───> 'He attended Punahou School from fifth grade .' + └───s───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) + ├───s───> 'This was in 1979 .' + └───n───> 'He graduated from high school .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# He attended Punahou School, a private college preparatory school, with the aid of a scholarship from fifth grade until he graduated from high school in 1979. + +35d9527990784d4cb2b6cd1775b8739e 0 He attended Punahou School from fifth grade . + S:UNKNOWN_SUBORDINATION This was with the aid of a scholarship . + L:CONDITION 6618aeefb3414fe5bc0c5db5b0f369fc + L:ELABORATION 7f66294306b8430da5808999c5341c27 + +6618aeefb3414fe5bc0c5db5b0f369fc 1 He graduated from high school . + S:TEMPORAL This was in 1979 . + +7f66294306b8430da5808999c5341c27 1 Punahou School was a private college preparatory school . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 59/527 # + +'In his youth, Obama went by the nickname Barry.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) + ├────────s────────> 'Barry was the nickname .' + └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalInitialExtractor) + ├───s───> 'This was in his youth .' + └───n───> 'Obama went by Barry .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# In his youth, Obama went by the nickname Barry. + +6127a4df04894d0ab41c056292e0aeb2 0 Obama went by Barry . + S:UNKNOWN_SUBORDINATION This was in his youth . + L:ELABORATION 323a450720a34570aefefdf9b576cf4d + +323a450720a34570aefefdf9b576cf4d 1 Barry was the nickname . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 60/527 # + +'Obama lived with his mother and half-sister, Maya Soetoro, in Hawaii for three years from 1972 to 1975 while his mother was a graduate student in anthropology at the University of Hawaii.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/ELABORATION (NULL, NonRestrictiveAppositionExtractor) + ├──────────────────s──────────────────> 'Maya Soetoro was his mother and half-sister .' + └───n───> CO/CONTRAST ('while', SubordinationPostExtractor) + ├───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) + | ├────────s────────> 'This was in Hawaii .' + | └───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) + | ├───s───> 'This was for three years from 1972 to 1975 .' + | └───n───> 'Obama lived with his mother and half-sister .' + └────────n────────> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + ├───s───> 'This was at the University of Hawaii .' + └───n───> 'His mother was a graduate student in anthropology .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# Obama lived with his mother and half-sister, Maya Soetoro, in Hawaii for three years from 1972 to 1975 while his mother was a graduate student in anthropology at the University of Hawaii. + +965dab0b517148358a07ae24d4a30d2e 0 Obama lived with his mother and half-sister . + S:TEMPORAL This was for three years from 1972 to 1975 . + S:SPATIAL This was in Hawaii . + L:CONTRAST ca8c0cf95cff468c967fecc4dc8a37fd + L:ELABORATION f1e2568743834f1f8e4c201f50abd4ff + +ca8c0cf95cff468c967fecc4dc8a37fd 0 His mother was a graduate student in anthropology . + S:UNKNOWN_SUBORDINATION This was at the University of Hawaii . + L:CONTRAST 965dab0b517148358a07ae24d4a30d2e + L:ELABORATION f1e2568743834f1f8e4c201f50abd4ff + +f1e2568743834f1f8e4c201f50abd4ff 1 Maya Soetoro was his mother and half-sister . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 61/527 # + +'Obama chose to stay in Hawaii with his grandparents for high school at Punahou when his mother and half-sister returned to Indonesia in 1975 so his mother could begin anthropology field work.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) + ├───s───> 'This was with his grandparents for high school at Punahou .' + └───n───> 'Obama chose to stay in Hawaii when his mother and half-sister returned to Indonesia in 1975 so his mother could begin anthropology field work .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# Obama chose to stay in Hawaii with his grandparents for high school at Punahou when his mother and half-sister returned to Indonesia in 1975 so his mother could begin anthropology field work. + +0058f6ea744f44268f55cdef4eeec725 0 Obama chose to stay in Hawaii when his mother and half-sister returned to Indonesia in 1975 so his mother could begin anthropology field work . + S:SPATIAL This was with his grandparents for high school at Punahou . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 62/527 # + +'His mother spent most of the next two decades in Indonesia, divorcing Lolo in 1980 and earning a PhD degree in 1992, before dying in 1995 in Hawaii following unsuccessful treatment for ovarian and uterine cancer.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> CO/UNKNOWN_COORDINATION (NULL, SharedNPPostParticipalExtractor) + ├─────────────n─────────────> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) + | ├───s───> 'This was in Indonesia .' + | └───n───> 'His mother spent most of the next two decades .' + └───n───> CO/LIST ('and', SharedNPPostCoordinationExtractor) + ├─────────────n─────────────> 'His mother was divorcing Lolo in 1980 .' + └───n───> SUB/TEMPORAL_AFTER (NULL, SharedNPPostParticipalExtractor) + ├───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) + | ├───s───> 'This was in 1992 .' + | └───n───> 'His mother was earning a PhD degree .' + └───s───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) + ├───s───> 'This was in Hawaii following unsuccessful treatment for ovarian and uterine cancer .' + └───n───> 'His mother was dying in 1995 .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# His mother spent most of the next two decades in Indonesia, divorcing Lolo in 1980 and earning a PhD degree in 1992, before dying in 1995 in Hawaii following unsuccessful treatment for ovarian and uterine cancer. + +03c245cb572240fca911041e071e70b6 0 His mother spent most of the next two decades . + S:SPATIAL This was in Indonesia . + +4f3fc98441ac43ae9dc173c9c6f87810 0 His mother was divorcing Lolo in 1980 . + L:LIST d52bc8301ec24e3eb4211a1f2170c5b9 + +d52bc8301ec24e3eb4211a1f2170c5b9 0 His mother was earning a PhD degree . + S:TEMPORAL This was in 1992 . + L:TEMPORAL_AFTER 234cc7be040443a9afe6f91e98d82d96 + L:LIST 4f3fc98441ac43ae9dc173c9c6f87810 + +234cc7be040443a9afe6f91e98d82d96 1 His mother was dying in 1995 . + S:SPATIAL This was in Hawaii following unsuccessful treatment for ovarian and uterine cancer . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 63/527 # + +'Obama later reflected on his years in Honolulu and wrote: The opportunity that Hawaii offered – to experience a variety of cultures in a climate of mutual respect – became an integral part of my world view, and a basis for the values that I hold most dear.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> CO/UNKNOWN_COORDINATION (':', CoordinationExtractor) + ├───n───> CO/LIST ('and', SharedNPPostCoordinationExtractor) + | ├───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) + | | ├───s───> 'This was in Honolulu .' + | | └───n───> 'Obama later reflected on his years .' + | └────────n────────> 'Obama later wrote .' + └───n───> SUB/UNKNOWN_SUBORDINATION ('that', SubordinationPostExtractor) + ├───n───> CO/LIST (NULL, PostListNPExtractor) + | ├───n───> 'The opportunity that Hawaii offered -- to experience a variety of cultures in a climate of mutual respect -- became an integral part of my world view .' + | └───n───> 'The opportunity that Hawaii offered -- to experience a variety of cultures in a climate of mutual respect -- became a basis for the values .' + └────────s────────> 'I hold most dear .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# Obama later reflected on his years in Honolulu and wrote: The opportunity that Hawaii offered – to experience a variety of cultures in a climate of mutual respect – became an integral part of my world view, and a basis for the values that I hold most dear. + +972b47d056804b11a4cae4c288cb3e77 0 Obama later reflected on his years . + S:SPATIAL This was in Honolulu . + L:LIST 5c0183442db54a9093ee80adbfdbff21 + +5c0183442db54a9093ee80adbfdbff21 0 Obama later wrote . + L:LIST 972b47d056804b11a4cae4c288cb3e77 + +999b137bbfff4c11bc599a4b46a9e588 0 The opportunity that Hawaii offered -- to experience a variety of cultures in a climate of mutual respect -- became an integral part of my world view . + L:LIST b9c820187db24445b6bec181aed4cc9d + L:UNKNOWN_SUBORDINATION e7fd9c692d7341ef928b7cc4627371f4 + +b9c820187db24445b6bec181aed4cc9d 0 The opportunity that Hawaii offered -- to experience a variety of cultures in a climate of mutual respect -- became a basis for the values . + L:LIST 999b137bbfff4c11bc599a4b46a9e588 + L:UNKNOWN_SUBORDINATION e7fd9c692d7341ef928b7cc4627371f4 + +e7fd9c692d7341ef928b7cc4627371f4 1 I hold most dear . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 64/527 # + +'Obama has also written and talked about using alcohol, marijuana, and cocaine during his teenage years to push questions of who I was out of my mind.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> 'Obama has also written and talked about using alcohol , marijuana , and cocaine during his teenage years to push questions of who I was out of my mind .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# Obama has also written and talked about using alcohol, marijuana, and cocaine during his teenage years to push questions of who I was out of my mind. + +6031a1cc75214532adf4fa3cece6b6ed 0 Obama has also written and talked about using alcohol , marijuana , and cocaine during his teenage years to push questions of who I was out of my mind . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 65/527 # + +'Obama was also a member of the choom gang, a self-named group of friends that spent time together and occasionally smoked marijuana.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/ELABORATION (NULL, NonRestrictiveAppositionExtractor) + ├───s───> SUB/IDENTIFYING_DEFINITION ('that', RestrictiveRelativeClauseWhoWhichExtractor) + | ├────────n────────> 'The choom gang was a self-named group of friends .' + | └───s───> CO/LIST ('and', SharedNPPostCoordinationExtractor) + | ├───n───> 'Friends spent time together .' + | └───n───> 'Friends occasionally smoked marijuana .' + └─────────────n─────────────> 'Obama was also a member of the choom gang .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# Obama was also a member of the choom gang, a self-named group of friends that spent time together and occasionally smoked marijuana. + +0aa2c68933f54d29ab6faa1773725270 0 Obama was also a member of the choom gang . + L:ELABORATION 781a9932524f484f93e63a47d88353e4 + +781a9932524f484f93e63a47d88353e4 1 The choom gang was a self-named group of friends . + L:IDENTIFYING_DEFINITION 4fe6dc89f37f4974960a902f63d93421 + L:IDENTIFYING_DEFINITION 450e21014582484f8ef6c89f20164dd0 + +4fe6dc89f37f4974960a902f63d93421 2 Friends spent time together . + L:LIST 450e21014582484f8ef6c89f20164dd0 + +450e21014582484f8ef6c89f20164dd0 2 Friends occasionally smoked marijuana . + L:LIST 4fe6dc89f37f4974960a902f63d93421 + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 66/527 # + +'After graduating from high school in 1979, Obama moved to Los Angeles to attend Occidental College.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/TEMPORAL_BEFORE ('After', SharedNPPreParticipalExtractor) + ├────────s────────> 'Obama was graduating from high school in 1979 .' + └───n───> SUB/PURPOSE (NULL, PurposePostExtractor) + ├───n───> 'Obama moved to Los Angeles .' + └───s───> 'This was to attend Occidental College .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# After graduating from high school in 1979, Obama moved to Los Angeles to attend Occidental College. + +2bf6c8f0ba5e4b309f6032854ede3ac3 0 Obama moved to Los Angeles . + S:PURPOSE This was to attend Occidental College . + L:TEMPORAL_BEFORE 98d0368acb15429c87f3e98323304557 + +98d0368acb15429c87f3e98323304557 1 Obama was graduating from high school in 1979 . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 67/527 # + +'In February 1981, Obama made his first public speech, calling for Occidental to participate in the disinvestment from South Africa in response to that nation's policy of apartheid.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> CO/UNKNOWN_COORDINATION (NULL, SharedNPPostParticipalExtractor) + ├────────n────────> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + | ├───s───> 'This was in February 1981 .' + | └───n───> 'Obama made his first public speech .' + └───n───> SUB/PURPOSE (NULL, PurposePostExtractor) + ├───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + | ├───s───> 'This was in February 1981 .' + | └───n───> 'Obama was calling for Occidental .' + └────────s────────> 'This was to participate in the disinvestment from South Africa in response to that nation 's policy of apartheid .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# In February 1981, Obama made his first public speech, calling for Occidental to participate in the disinvestment from South Africa in response to that nation's policy of apartheid. + +8212a6b1db8c431cacdd963313c6f8e5 0 Obama made his first public speech . + S:TEMPORAL This was in February 1981 . + +ad6a8741257e41208ff3f62ce116d037 0 Obama was calling for Occidental . + S:TEMPORAL This was in February 1981 . + S:PURPOSE This was to participate in the disinvestment from South Africa in response to that nation 's policy of apartheid . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 68/527 # + +'In mid-1981, Obama traveled to Indonesia to visit his mother and half-sister Maya, and visited the families of college friends in Pakistan and India for three weeks.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) + ├───────────────────────s───────────────────────> 'Maya were his mother and half-sister .' + └───n───> CO/LIST (', and', SharedNPPostCoordinationExtractor) + ├────────n────────> SUB/PURPOSE (NULL, PurposePostExtractor) + | ├───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalInitialExtractor) + | | ├───s───> 'This was in mid-1981 .' + | | └───n───> 'Obama traveled to Indonesia .' + | └────────s────────> 'This was to visit Maya .' + └───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) + ├─────────────s─────────────> 'This was in Pakistan and India .' + └───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) + ├────────s────────> 'This was for three weeks .' + └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalInitialExtractor) + ├───s───> 'This was in mid-1981 .' + └───n───> 'Obama visited the families of college friends .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# In mid-1981, Obama traveled to Indonesia to visit his mother and half-sister Maya, and visited the families of college friends in Pakistan and India for three weeks. + +2018ad44c43449dab8991a9fe79c2134 0 Obama traveled to Indonesia . + S:UNKNOWN_SUBORDINATION This was in mid-1981 . + S:PURPOSE This was to visit Maya . + L:LIST 81bc4c5254e84cfa85b1d57d8f1da714 + L:ELABORATION e53920a0d34d4476af3ef5caa95be556 + +81bc4c5254e84cfa85b1d57d8f1da714 0 Obama visited the families of college friends . + S:UNKNOWN_SUBORDINATION This was in mid-1981 . + S:TEMPORAL This was for three weeks . + S:SPATIAL This was in Pakistan and India . + L:LIST 2018ad44c43449dab8991a9fe79c2134 + L:ELABORATION e53920a0d34d4476af3ef5caa95be556 + +e53920a0d34d4476af3ef5caa95be556 1 Maya were his mother and half-sister . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 69/527 # + +'Later in 1981, he transferred as a junior to Columbia University in New York City, where he majored in political science with a specialty in international relations and in English literature and lived off-campus on West 109th Street.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/SPATIAL (NULL, NonRestrictiveRelativeClauseWhereExtractor) + ├───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) + | ├────────s────────> 'This was to Columbia University in New York City .' + | └───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + | ├───s───> 'This was later in 1981 .' + | └───n───> 'He transferred as a junior .' + └───s───> CO/LIST ('and', SharedNPPostCoordinationExtractor) + ├───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + | ├───s───> 'This was with a specialty in international relations and in English literature .' + | └───n───> 'He majored in political science .' + └───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) + ├───s───> 'This was on West 109th Street .' + └───n───> 'He lived off-campus .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# Later in 1981, he transferred as a junior to Columbia University in New York City, where he majored in political science with a specialty in international relations and in English literature and lived off-campus on West 109th Street. + +d258826d05724347aa5afdcd1e81eea8 0 He transferred as a junior . + S:TEMPORAL This was later in 1981 . + S:SPATIAL This was to Columbia University in New York City . + L:SPATIAL b4d6a2e8c4104cf48755227e9fe465c3 + L:SPATIAL 5134b8ac11604783a53f26d1432ee11b + +b4d6a2e8c4104cf48755227e9fe465c3 1 He majored in political science . + S:UNKNOWN_SUBORDINATION This was with a specialty in international relations and in English literature . + L:LIST 5134b8ac11604783a53f26d1432ee11b + +5134b8ac11604783a53f26d1432ee11b 1 He lived off-campus . + S:SPATIAL This was on West 109th Street . + L:LIST b4d6a2e8c4104cf48755227e9fe465c3 + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 70/527 # + +'He graduated with a BA degree in 1983 and worked for about a year at the Business International Corporation, where he was a financial researcher and writer, then as a project coordinator for the New York Public Interest Research Group on the City College of New York campus for three months in 1985.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/SPATIAL (NULL, NonRestrictiveRelativeClauseWhereExtractor) + ├───n───> CO/LIST ('and', SharedNPPostCoordinationExtractor) + | ├──────────────────n──────────────────> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) + | | ├───s───> 'This was in 1983 .' + | | └───n───> 'He graduated with a BA degree .' + | └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + | ├──────────────────s──────────────────> 'This was as a project coordinator for the New York Public Interest Research Group .' + | └───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) + | ├─────────────s─────────────> 'This was on the City College of New York campus .' + | └───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) + | ├────────s────────> 'This was for three months in 1985 .' + | └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + | ├───s───> 'This was at the Business International Corporation .' + | └───n───> 'He worked for about a year .' + └──────────────────s──────────────────> SUB/UNKNOWN_SUBORDINATION (NULL, AdjectivalAdverbialMiddleFinalExtractor) + ├────────s────────> 'This was then .' + └───n───> CO/LIST (NULL, PostListNPExtractor) + ├───n───> 'He was a financial researcher .' + └───n───> 'He was writer .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# He graduated with a BA degree in 1983 and worked for about a year at the Business International Corporation, where he was a financial researcher and writer, then as a project coordinator for the New York Public Interest Research Group on the City College of New York campus for three months in 1985. + +13edebdd046949cd812e4e9021635f75 0 He graduated with a BA degree . + S:TEMPORAL This was in 1983 . + L:LIST e50ddba3c5114732b540e3bc614eff25 + L:SPATIAL 2af4a8152e364d6eb23aa0561ba8bfed + L:SPATIAL 73add1b695ce4a83b64bb82d6243b2cf + +e50ddba3c5114732b540e3bc614eff25 0 He worked for about a year . + S:UNKNOWN_SUBORDINATION This was at the Business International Corporation . + S:TEMPORAL This was for three months in 1985 . + S:SPATIAL This was on the City College of New York campus . + S:UNKNOWN_SUBORDINATION This was as a project coordinator for the New York Public Interest Research Group . + L:LIST 13edebdd046949cd812e4e9021635f75 + L:SPATIAL 2af4a8152e364d6eb23aa0561ba8bfed + L:SPATIAL 73add1b695ce4a83b64bb82d6243b2cf + +2af4a8152e364d6eb23aa0561ba8bfed 1 He was a financial researcher . + S:UNKNOWN_SUBORDINATION This was then . + L:LIST 73add1b695ce4a83b64bb82d6243b2cf + +73add1b695ce4a83b64bb82d6243b2cf 1 He was writer . + S:UNKNOWN_SUBORDINATION This was then . + L:LIST 2af4a8152e364d6eb23aa0561ba8bfed + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 71/527 # + +'In a 2006 interview, Obama highlighted the diversity of his extended family:' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + ├───s───> 'This was in a 2006 interview .' + └───n───> 'Obama highlighted the diversity of his extended family : .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# In a 2006 interview, Obama highlighted the diversity of his extended family: + +d77d0f1411934b4b852b75d9b3e6d437 0 Obama highlighted the diversity of his extended family : . + S:TEMPORAL This was in a 2006 interview . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 72/527 # + +'It's like a little mini-United Nations, he said.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/ATTRIBUTION (NULL, PreAttributionExtractor) + ├───n───> 'It 's like a little mini-United Nations .' + └───s───> 'This was what he said .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# It's like a little mini-United Nations, he said. + +1361a12361474eb2a5dd5e2049faad1f 0 It 's like a little mini-United Nations . + S:ATTRIBUTION This was what he said . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 73/527 # + +'I've got relatives who look like Bernie Mac, and I've got relatives who look like Margaret Thatcher.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> CO/LIST (', and', CoordinationExtractor) + ├───n───> SUB/IDENTIFYING_DEFINITION ('who', RestrictiveRelativeClauseWhoWhichExtractor) + | ├───n───> 'I 've got relatives .' + | └───s───> 'Relatives look like Bernie Mac .' + └───n───> SUB/IDENTIFYING_DEFINITION ('who', RestrictiveRelativeClauseWhoWhichExtractor) + ├───n───> 'I 've got relatives .' + └───s───> 'Relatives look like Margaret Thatcher .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# I've got relatives who look like Bernie Mac, and I've got relatives who look like Margaret Thatcher. + +fa733ca669d84b09b7f577d47970340d 0 I 've got relatives . + L:IDENTIFYING_DEFINITION c9067ee1d9bf485995e53730b4a4958c + L:LIST 27d2d8e1c1f94e948eeb027535cf6e82 + +c9067ee1d9bf485995e53730b4a4958c 1 Relatives look like Bernie Mac . + +27d2d8e1c1f94e948eeb027535cf6e82 0 I 've got relatives . + L:IDENTIFYING_DEFINITION bc7b9480477f474ab24543b0dc58dbfd + L:LIST fa733ca669d84b09b7f577d47970340d + +bc7b9480477f474ab24543b0dc58dbfd 1 Relatives look like Margaret Thatcher . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 74/527 # + +'Obama has a half-sister with whom he was raised (Maya Soetoro-Ng, the daughter of his mother and her Indonesian second husband) and seven half-siblings from his Kenyan father's family—six of them living.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/ELABORATION (NULL, NonRestrictiveAppositionExtractor) + ├───s───> CO/LIST (NULL, PostListNPExtractor) + | ├───n───> 'Maya Soetoro-Ng was the daughter of his mother .' + | └───n───> 'Maya Soetoro-Ng was the daughter of her Indonesian second husband .' + └───n───> CO/LIST (NULL, PostListNPExtractor) + ├───n───> 'Obama has a half-sister with whom he was raised -LRB- Maya Soetoro-Ng -RRB- .' + └───n───> 'Obama has seven half-siblings from his Kenyan father 's family -- six of them living .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# Obama has a half-sister with whom he was raised (Maya Soetoro-Ng, the daughter of his mother and her Indonesian second husband) and seven half-siblings from his Kenyan father's family—six of them living. + +b29a5db600854bf1b05a8bde1a77cb57 0 Obama has a half-sister with whom he was raised -LRB- Maya Soetoro-Ng -RRB- . + L:LIST 792e99b998bc4672abc07f728747680b + L:ELABORATION f565d8965ece4f839f6cd2dd57e912e9 + L:ELABORATION cb96d705c5be4e7a9c64d73f35616b6a + +792e99b998bc4672abc07f728747680b 0 Obama has seven half-siblings from his Kenyan father 's family -- six of them living . + L:LIST b29a5db600854bf1b05a8bde1a77cb57 + L:ELABORATION f565d8965ece4f839f6cd2dd57e912e9 + L:ELABORATION cb96d705c5be4e7a9c64d73f35616b6a + +f565d8965ece4f839f6cd2dd57e912e9 1 Maya Soetoro-Ng was the daughter of his mother . + L:LIST cb96d705c5be4e7a9c64d73f35616b6a + +cb96d705c5be4e7a9c64d73f35616b6a 1 Maya Soetoro-Ng was the daughter of her Indonesian second husband . + L:LIST f565d8965ece4f839f6cd2dd57e912e9 + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 75/527 # + +'Obama's mother was survived by her Kansas-born mother, Madelyn Dunham, until her death on November 2, 2008, two days before his election to the Presidency.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/ELABORATION (NULL, NonRestrictiveAppositionExtractor) + ├──────────────────s──────────────────> 'Madelyn Dunham was her Kansas-born mother .' + └───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) + ├─────────────s─────────────> 'This was until her death on November 2 , 2008 , two days .' + └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + ├────────s────────> 'This was before his election .' + └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + ├───s───> 'This was to the Presidency .' + └───n───> 'Obama 's mother was survived by her Kansas-born mother .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# Obama's mother was survived by her Kansas-born mother, Madelyn Dunham, until her death on November 2, 2008, two days before his election to the Presidency. + +6147499952f14c5192aba7046b8ac1c8 0 Obama 's mother was survived by her Kansas-born mother . + S:UNKNOWN_SUBORDINATION This was to the Presidency . + S:UNKNOWN_SUBORDINATION This was before his election . + S:TEMPORAL This was until her death on November 2 , 2008 , two days . + L:ELABORATION acd4000da18346feb2663def7cf5b9c2 + +acd4000da18346feb2663def7cf5b9c2 1 Madelyn Dunham was her Kansas-born mother . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 76/527 # + +'Obama also has roots in Ireland; he met with his Irish cousins in Moneygall in May 2011.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> CO/UNKNOWN_COORDINATION (';', CoordinationExtractor) + ├────────n────────> 'Obama also has roots in Ireland .' + └───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) + ├───s───> 'This was in Moneygall in May 2011 .' + └───n───> 'He met with his Irish cousins .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# Obama also has roots in Ireland; he met with his Irish cousins in Moneygall in May 2011. + +b736734ab9b547b1b26e4068d9185f8d 0 Obama also has roots in Ireland . + +8116751c471541ae9540b2af626eaa98 0 He met with his Irish cousins . + S:TEMPORAL This was in Moneygall in May 2011 . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 77/527 # + +'In Dreams from My Father, Obama ties his mother's family history to possible Native American ancestors and distant relatives of Jefferson Davis, President of the Confederate States of America during the American Civil War.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/ELABORATION (NULL, NonRestrictiveAppositionExtractor) + ├───────────────────────s───────────────────────> 'Jefferson Davis is President of the Confederate States of America .' + └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + ├─────────────s─────────────> CO/LIST (NULL, PostListNPExtractor) + | ├───n───> 'This is to possible Native American ancestors .' + | └───n───> 'This is to distant relatives of Jefferson Davis .' + └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + ├─────────────s─────────────> 'This is during the American Civil War .' + └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalInitialExtractor) + ├───s───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + | ├───s───> 'This is from My Father .' + | └───n───> 'This is in Dreams .' + └────────n────────> 'Obama ties his mother 's family history .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# In Dreams from My Father, Obama ties his mother's family history to possible Native American ancestors and distant relatives of Jefferson Davis, President of the Confederate States of America during the American Civil War. + +6d8caf1d69d848a28c362f5d83cc9fd2 0 Obama ties his mother 's family history . + S:UNKNOWN_SUBORDINATION This is during the American Civil War . + L:UNKNOWN_SUBORDINATION d34ff0acfad04db0a3a0dca7dd20a127 + L:UNKNOWN_SUBORDINATION 10bc80d4b3414ffcab1af39a260780de + L:UNKNOWN_SUBORDINATION e7254204dd2049cc970ab20ac8f3e831 + L:ELABORATION bd58ab00c9a149c2800d138eb2da967f + +d34ff0acfad04db0a3a0dca7dd20a127 1 This is in Dreams . + S:UNKNOWN_SUBORDINATION This is from My Father . + +10bc80d4b3414ffcab1af39a260780de 1 This is to possible Native American ancestors . + L:LIST e7254204dd2049cc970ab20ac8f3e831 + +e7254204dd2049cc970ab20ac8f3e831 1 This is to distant relatives of Jefferson Davis . + L:LIST 10bc80d4b3414ffcab1af39a260780de + +bd58ab00c9a149c2800d138eb2da967f 1 Jefferson Davis is President of the Confederate States of America . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 78/527 # + +'He also shares distant ancestors in common with George W. Bush and Dick Cheney, among others.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalMiddleFinalExtractor) + ├────────s────────> 'This is among others .' + └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + ├───s───> 'This is in common with George W. Bush and Dick Cheney .' + └───n───> 'He also shares distant ancestors .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# He also shares distant ancestors in common with George W. Bush and Dick Cheney, among others. + +069f764af85d405fad73bae08dab1148 0 He also shares distant ancestors . + S:UNKNOWN_SUBORDINATION This is in common with George W. Bush and Dick Cheney . + S:UNKNOWN_SUBORDINATION This is among others . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 79/527 # + +'Obama is a supporter of the Chicago White Sox, and he threw out the first pitch at the 2005 ALCS when he was still a senator.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> CO/LIST (', and', CoordinationExtractor) + ├────────n────────> 'Obama is a supporter of the Chicago White Sox .' + └───n───> SUB/BACKGROUND ('when', SubordinationPostExtractor) + ├───n───> 'He threw out the first pitch at the 2005 ALCS .' + └───s───> 'He was still a senator .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# Obama is a supporter of the Chicago White Sox, and he threw out the first pitch at the 2005 ALCS when he was still a senator. + +096e81bb10364fa1b9bd1fe4a872dfaa 0 Obama is a supporter of the Chicago White Sox . + L:LIST 6bc76bbd1cc14a96a02a746ec224885a + +6bc76bbd1cc14a96a02a746ec224885a 0 He threw out the first pitch at the 2005 ALCS . + L:BACKGROUND 1fbf6623179c4a578bf70181902653cd + L:LIST 096e81bb10364fa1b9bd1fe4a872dfaa + +1fbf6623179c4a578bf70181902653cd 1 He was still a senator . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 80/527 # + +'In 2009, he threw out the ceremonial first pitch at the All-Star Game while wearing a White Sox jacket.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> CO/CONTRAST (NULL, SharedNPPostParticipalExtractor) + ├───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + | ├────────s────────> 'This was at the All-Star Game .' + | └───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + | ├───s───> 'This was in 2009 .' + | └───n───> 'He threw out the ceremonial first pitch .' + └────────n────────> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + ├───s───> 'This was in 2009 .' + └───n───> 'He was wearing a White Sox jacket .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# In 2009, he threw out the ceremonial first pitch at the All-Star Game while wearing a White Sox jacket. + +a3470a79779f457d8f9e8dbd329aeb41 0 He threw out the ceremonial first pitch . + S:TEMPORAL This was in 2009 . + S:UNKNOWN_SUBORDINATION This was at the All-Star Game . + L:CONTRAST eb7682cd950744fb918fceb8182c6c15 + +eb7682cd950744fb918fceb8182c6c15 0 He was wearing a White Sox jacket . + S:TEMPORAL This was in 2009 . + L:CONTRAST a3470a79779f457d8f9e8dbd329aeb41 + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 81/527 # + +'He is also primarily a Chicago Bears football fan in the NFL, but in his childhood and adolescence was a fan of the Pittsburgh Steelers, and rooted for them ahead of their victory in Super Bowl XLIII 12 days after he took office as president.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> CO/CONTRAST (', but', SharedNPPostCoordinationExtractor) + ├──────────────────n──────────────────> 'He is also primarily a Chicago Bears football fan in the NFL .' + └───n───> CO/LIST (', and', SharedNPPostCoordinationExtractor) + ├─────────────n─────────────> 'He in his childhood and adolescence was a fan of the Pittsburgh Steelers .' + └───n───> SUB/TEMPORAL_BEFORE ('after', SubordinationPostExtractor) + ├────────n────────> 'He rooted for them ahead of their victory in Super Bowl XLIII 12 days .' + └───s───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + ├───s───> 'This was as president .' + └───n───> 'He took office .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# He is also primarily a Chicago Bears football fan in the NFL, but in his childhood and adolescence was a fan of the Pittsburgh Steelers, and rooted for them ahead of their victory in Super Bowl XLIII 12 days after he took office as president. + +92e7f700bb9042b69fd2bbc94cb144ed 0 He is also primarily a Chicago Bears football fan in the NFL . + L:CONTRAST f5ed12c46ed246909cbd18d966471a9d + L:CONTRAST 5860f6168d4e485ca94761c469726447 + +f5ed12c46ed246909cbd18d966471a9d 0 He in his childhood and adolescence was a fan of the Pittsburgh Steelers . + L:LIST 5860f6168d4e485ca94761c469726447 + L:CONTRAST 92e7f700bb9042b69fd2bbc94cb144ed + +5860f6168d4e485ca94761c469726447 0 He rooted for them ahead of their victory in Super Bowl XLIII 12 days . + L:TEMPORAL_BEFORE 66b3220bc80f4571a6db3e558d796ebd + L:LIST f5ed12c46ed246909cbd18d966471a9d + L:CONTRAST 92e7f700bb9042b69fd2bbc94cb144ed + +66b3220bc80f4571a6db3e558d796ebd 1 He took office . + S:UNKNOWN_SUBORDINATION This was as president . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 82/527 # + +'In 2011, Obama invited the 1985 Chicago Bears to the White House; the team had not visited the White House after their Super Bowl win in 1986 due to the Space Shuttle Challenger disaster.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> CO/UNKNOWN_COORDINATION (';', CoordinationExtractor) + ├───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + | ├───s───> 'This was in 2011 .' + | └───n───> 'Obama invited the 1985 Chicago Bears to the White House .' + └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + ├───s───> 'This was after their Super Bowl win .' + └───n───> 'The team had not visited the White House in 1986 due to the Space Shuttle Challenger disaster .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# In 2011, Obama invited the 1985 Chicago Bears to the White House; the team had not visited the White House after their Super Bowl win in 1986 due to the Space Shuttle Challenger disaster. + +eb3f7b32ae804af0b663016cdd582ac0 0 Obama invited the 1985 Chicago Bears to the White House . + S:TEMPORAL This was in 2011 . + +15b86e07ff2746dd99663eda902fadfd 0 The team had not visited the White House in 1986 due to the Space Shuttle Challenger disaster . + S:UNKNOWN_SUBORDINATION This was after their Super Bowl win . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 83/527 # + +'He plays basketball, a sport he participated in as a member of his high school's varsity team, and he is left-handed.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> CO/LIST (', and', CoordinationExtractor) + ├───n───> SUB/ELABORATION (NULL, NonRestrictiveAppositionExtractor) + | ├───s───> SUB/IDENTIFYING_DEFINITION ('', RestrictiveRelativeClauseWithoutRelativePronounExtractor) + | | ├────────n────────> 'Basketball was a sport .' + | | └───s───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + | | ├───s───> 'This was in as a member of his high school 's varsity team .' + | | └───n───> 'He participated a sport .' + | └─────────────n─────────────> 'He plays basketball .' + └──────────────────n──────────────────> 'He is left-handed .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# He plays basketball, a sport he participated in as a member of his high school's varsity team, and he is left-handed. + +66949eaf16224d1e96fcc85587ac8c41 0 He plays basketball . + L:ELABORATION 812578ce4d0740d4a2630e1c3936bc29 + L:LIST 75b95b8784314654b0bbfd6638e13996 + +812578ce4d0740d4a2630e1c3936bc29 1 Basketball was a sport . + L:IDENTIFYING_DEFINITION db9ebf42ed3349d085c3c9a8c249a510 + +db9ebf42ed3349d085c3c9a8c249a510 2 He participated a sport . + S:UNKNOWN_SUBORDINATION This was in as a member of his high school 's varsity team . + +75b95b8784314654b0bbfd6638e13996 0 He is left-handed . + L:LIST 66949eaf16224d1e96fcc85587ac8c41 + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 84/527 # + +'Obama lived with anthropologist Sheila Miyoshi Jager while he was a community organizer in Chicago in the 1980s.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) + ├────────s────────> 'Sheila Miyoshi Jager was anthropologist .' + └───n───> CO/CONTRAST ('while', SubordinationPostExtractor) + ├───n───> 'Obama lived with Sheila Miyoshi Jager .' + └───n───> 'He was a community organizer in Chicago in the 1980s .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# Obama lived with anthropologist Sheila Miyoshi Jager while he was a community organizer in Chicago in the 1980s. + +582db82faae04dec8b7401b74848ec2e 0 Obama lived with Sheila Miyoshi Jager . + L:CONTRAST 62804e3b481148d39f7dde10a9298bed + L:ELABORATION 9f63e0b858ab4ceea6eeaf87124ba343 + +62804e3b481148d39f7dde10a9298bed 0 He was a community organizer in Chicago in the 1980s . + L:CONTRAST 582db82faae04dec8b7401b74848ec2e + L:ELABORATION 9f63e0b858ab4ceea6eeaf87124ba343 + +9f63e0b858ab4ceea6eeaf87124ba343 1 Sheila Miyoshi Jager was anthropologist . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 85/527 # + +'He proposed to her twice, but both Jager and her parents turned him down.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> CO/CONTRAST (', but', CoordinationExtractor) + ├────────n────────> 'He proposed to her twice .' + └───n───> CO/LIST (NULL, PreListNPExtractor) + ├───n───> 'Both Jager turned him down .' + └───n───> 'Her parents turned him down .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# He proposed to her twice, but both Jager and her parents turned him down. + +724cabc8e1e043f6a32e8f69383754ee 0 He proposed to her twice . + L:CONTRAST e1e46d0828cc4bfba200c7de8670ee93 + L:CONTRAST 2dffe767f5a74eea838d5837f1575e88 + +e1e46d0828cc4bfba200c7de8670ee93 0 Both Jager turned him down . + L:LIST 2dffe767f5a74eea838d5837f1575e88 + L:CONTRAST 724cabc8e1e043f6a32e8f69383754ee + +2dffe767f5a74eea838d5837f1575e88 0 Her parents turned him down . + L:LIST e1e46d0828cc4bfba200c7de8670ee93 + L:CONTRAST 724cabc8e1e043f6a32e8f69383754ee + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 86/527 # + +'The relationship was only made public in May 2017, several months after Obama's presidency had ended.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> 'The relationship was only made public in May 2017 , several months after Obama 's presidency had ended .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# The relationship was only made public in May 2017, several months after Obama's presidency had ended. + +a07023a399634d92a9e483cabe1d4bac 0 The relationship was only made public in May 2017 , several months after Obama 's presidency had ended . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 87/527 # + +'In June 1989, Obama met Michelle Robinson when he was employed as a summer associate at the Chicago law firm of Sidley Austin.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + ├───s───> 'This was in June 1989 .' + └───n───> 'Obama met Michelle Robinson when he was employed as a summer associate at the Chicago law firm of Sidley Austin .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# In June 1989, Obama met Michelle Robinson when he was employed as a summer associate at the Chicago law firm of Sidley Austin. + +679289caee9d4940b87ba460a6eb2d64 0 Obama met Michelle Robinson when he was employed as a summer associate at the Chicago law firm of Sidley Austin . + S:TEMPORAL This was in June 1989 . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 88/527 # + +'Robinson was assigned for three months as Obama's adviser at the firm, and she joined him at several group social functions but declined his initial requests to date.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> CO/LIST (', and', CoordinationExtractor) + ├────────n────────> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + | ├───s───> 'This was at the firm .' + | └───n───> 'Robinson was assigned for three months as Obama 's adviser .' + └───n───> CO/CONTRAST ('but', SharedNPPostCoordinationExtractor) + ├───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + | ├───s───> 'This was at several group social functions .' + | └───n───> 'She joined him .' + └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + ├───s───> 'This was to date .' + └───n───> 'She declined his initial requests .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# Robinson was assigned for three months as Obama's adviser at the firm, and she joined him at several group social functions but declined his initial requests to date. + +2b771f78206c4dcabebfa3bcbb817969 0 Robinson was assigned for three months as Obama 's adviser . + S:UNKNOWN_SUBORDINATION This was at the firm . + L:LIST 89e6aec5065549a8a134d7f3d28b166f + L:LIST f29d2a033b58475aa22f03810ca01f50 + +89e6aec5065549a8a134d7f3d28b166f 0 She joined him . + S:UNKNOWN_SUBORDINATION This was at several group social functions . + L:CONTRAST f29d2a033b58475aa22f03810ca01f50 + L:LIST 2b771f78206c4dcabebfa3bcbb817969 + +f29d2a033b58475aa22f03810ca01f50 0 She declined his initial requests . + S:UNKNOWN_SUBORDINATION This was to date . + L:CONTRAST 89e6aec5065549a8a134d7f3d28b166f + L:LIST 2b771f78206c4dcabebfa3bcbb817969 + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 89/527 # + +'They began dating later that summer, became engaged in 1991, and were married on October 3, 1992.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> CO/UNKNOWN_COORDINATION (NULL, SharedNPPostCoordinationExtractor) + ├───n───> 'They began dating later that summer .' + ├───n───> 'They became engaged in 1991 .' + └───n───> 'They were married on October 3 , 1992 .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# They began dating later that summer, became engaged in 1991, and were married on October 3, 1992. + +77d8d668e1514f28bf33548332cafb6e 0 They began dating later that summer . + +05b3c1dabc314db387a3b149b70c4ba7 0 They became engaged in 1991 . + +adcb1e009c4240d9a19d71e33ff8fb6b 0 They were married on October 3 , 1992 . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 90/527 # + +'The couple's first daughter, Malia Ann, was born in 1998, followed by a second daughter, Natasha (Sasha), in 2001.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/ELABORATION (NULL, NonRestrictiveAppositionExtractor) + ├──────────────────s──────────────────> 'Malia Ann was the couple 's first daughter .' + └───n───> SUB/ELABORATION (NULL, NonRestrictiveAppositionExtractor) + ├─────────────s─────────────> 'Natasha was a second daughter .' + └───n───> SUB/TEMPORAL (NULL, PrepositionalMiddleFinalExtractor) + ├───s───> SUB/TEMPORAL (NULL, PrepositionalMiddleFinalExtractor) + | ├───s───> 'This was in 2001 .' + | └───n───> 'This was followed by a second daughter -LRB- Sasha -RRB- .' + └────────n────────> 'The couple 's first daughter was born in 1998 .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# The couple's first daughter, Malia Ann, was born in 1998, followed by a second daughter, Natasha (Sasha), in 2001. + +0e5c0eae48a74bfcad5b52091e685731 0 The couple 's first daughter was born in 1998 . + L:TEMPORAL 269e80e21efc4efb8da893133eb584d0 + L:ELABORATION 766e746524b943fd8053096e0e2363fc + L:ELABORATION 9811516a1e014ea2b30aeed124fc58a7 + +269e80e21efc4efb8da893133eb584d0 1 This was followed by a second daughter -LRB- Sasha -RRB- . + S:TEMPORAL This was in 2001 . + +766e746524b943fd8053096e0e2363fc 1 Natasha was a second daughter . + +9811516a1e014ea2b30aeed124fc58a7 1 Malia Ann was the couple 's first daughter . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 91/527 # + +'The Obama daughters attended the University of Chicago Laboratory Schools.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> 'The Obama daughters attended the University of Chicago Laboratory Schools .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# The Obama daughters attended the University of Chicago Laboratory Schools. + +3129c7bba9f844459936ce85183208d5 0 The Obama daughters attended the University of Chicago Laboratory Schools . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 92/527 # + +'When they moved to Washington, D.C., in January 2009, the girls started at the Sidwell Friends School.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/BACKGROUND ('When', SubordinationPreExtractor) + ├───s───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) + | ├───s───> 'This was in January 2009 .' + | └───n───> 'They moved to Washington , D.C. .' + └────────n────────> 'The girls started at the Sidwell Friends School .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# When they moved to Washington, D.C., in January 2009, the girls started at the Sidwell Friends School. + +838275bf43704f34975bc641e6491776 0 The girls started at the Sidwell Friends School . + L:BACKGROUND d9acecd6dd484427aad31ca4d1047276 + +d9acecd6dd484427aad31ca4d1047276 1 They moved to Washington , D.C. . + S:TEMPORAL This was in January 2009 . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 93/527 # + +'The Obamas have two Portuguese Water Dogs; the first, a male named Bo, was a gift from Senator Ted Kennedy.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> CO/UNKNOWN_COORDINATION (';', CoordinationExtractor) + ├──────────────────n──────────────────> 'The Obamas have two Portuguese Water Dogs .' + └───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) + ├─────────────s─────────────> 'Ted Kennedy was a gift from Senator .' + └───n───> SUB/ELABORATION (NULL, NonRestrictiveAppositionExtractor) + ├───s───> SUB/UNKNOWN_SUBORDINATION ('', SubordinationPostExtractor) + | ├───n───> 'A male named .' + | └───s───> 'Bo was the first .' + └────────n────────> 'The first was Ted Kennedy .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# The Obamas have two Portuguese Water Dogs; the first, a male named Bo, was a gift from Senator Ted Kennedy. + +a7e5ff8b451f40669319fde21ff73742 0 The Obamas have two Portuguese Water Dogs . + +f0696775bcb94d72bac3b1812a01b126 0 The first was Ted Kennedy . + L:ELABORATION 90d24bf85c7644b18766d7cc12349048 + L:ELABORATION 4112367968514a88a9041b822bcca073 + +90d24bf85c7644b18766d7cc12349048 1 A male named . + L:UNKNOWN_SUBORDINATION e5649d2d51e946f585f0f03cf8727407 + +e5649d2d51e946f585f0f03cf8727407 2 Bo was the first . + +4112367968514a88a9041b822bcca073 1 Ted Kennedy was a gift from Senator . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 94/527 # + +'In 2013, Bo was joined by Sunny, a female.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/ELABORATION (NULL, NonRestrictiveAppositionExtractor) + ├────────s────────> 'Sunny was a female .' + └───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + ├───s───> 'This was in 2013 .' + └───n───> 'Bo was joined by Sunny .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# In 2013, Bo was joined by Sunny, a female. + +cd28902396ef418b92ff6364d2c2185a 0 Bo was joined by Sunny . + S:TEMPORAL This was in 2013 . + L:ELABORATION e0b2bac7ae5844d787feb346d1b710c4 + +e0b2bac7ae5844d787feb346d1b710c4 1 Sunny was a female . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 95/527 # + +'In 2005, the family applied the proceeds of a book deal and moved from a Hyde Park, Chicago condominium to a $1.6 million house (equivalent to $2.0 million in 2017) in neighboring Kenwood, Chicago.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> CO/LIST ('and', SharedNPPostCoordinationExtractor) + ├─────────────n─────────────> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + | ├───s───> 'This was in 2005 .' + | └───n───> 'The family applied the proceeds of a book deal .' + └───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) + ├─────────────s─────────────> 'This was in neighboring Kenwood , Chicago .' + └───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) + ├────────s────────> 'This was to a $ 1.6 million house -LRB- equivalent to $ 2.0 million in 2017 -RRB- .' + └───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + ├───s───> 'This was in 2005 .' + └───n───> 'The family moved from a Hyde Park , Chicago condominium .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# In 2005, the family applied the proceeds of a book deal and moved from a Hyde Park, Chicago condominium to a $1.6 million house (equivalent to $2.0 million in 2017) in neighboring Kenwood, Chicago. + +dc57a4bbfcab4c99a5cff8e94a01f612 0 The family applied the proceeds of a book deal . + S:TEMPORAL This was in 2005 . + L:LIST f6c8c2e433494aceb130c5503eec9a5b + +f6c8c2e433494aceb130c5503eec9a5b 0 The family moved from a Hyde Park , Chicago condominium . + S:TEMPORAL This was in 2005 . + S:TEMPORAL This was to a $ 1.6 million house -LRB- equivalent to $ 2.0 million in 2017 -RRB- . + S:SPATIAL This was in neighboring Kenwood , Chicago . + L:LIST dc57a4bbfcab4c99a5cff8e94a01f612 + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 96/527 # + +'The purchase of an adjacent lot—and sale of part of it to Obama by the wife of developer, campaign donor and friend Tony Rezko—attracted media attention because of Rezko's subsequent indictment and conviction on political corruption charges that were unrelated to Obama.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) + ├──────────────────s──────────────────> 'Tony Rezko was campaign donor and friend .' + └───n───> SUB/ELABORATION (NULL, NonRestrictiveAppositionExtractor) + ├─────────────s─────────────> 'Tony Rezko was developer .' + └───n───> SUB/IDENTIFYING_DEFINITION ('that', RestrictiveRelativeClauseWhoWhichExtractor) + ├───n───> CO/LIST (NULL, PostListNPExtractor) + | ├───n───> 'The purchase of an adjacent lot -- and sale of part of it to Obama by the wife of developer -- attracted media attention because of Rezko 's subsequent indictment .' + | └───n───> 'The purchase of an adjacent lot -- and sale of part of it to Obama by the wife of developer -- attracted media attention because of conviction on political corruption charges .' + └────────s────────> 'Rezko 's subsequent indictment and conviction on political corruption charges were unrelated to Obama .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# The purchase of an adjacent lot—and sale of part of it to Obama by the wife of developer, campaign donor and friend Tony Rezko—attracted media attention because of Rezko's subsequent indictment and conviction on political corruption charges that were unrelated to Obama. + +a9b857f3a0814f11a6b4365006ef2f1b 0 The purchase of an adjacent lot -- and sale of part of it to Obama by the wife of developer -- attracted media attention because of Rezko 's subsequent indictment . + L:LIST 5881e53e46f24ac7be36af9bbd770639 + L:IDENTIFYING_DEFINITION 5a04fa1fc69b4f0daaaacbc1452e852d + L:ELABORATION 09db8ee1dc8a40e5bf3a8c5bb645205d + L:ELABORATION 02d9dc8e44a0480a8df8635a4b9fc9ba + +5881e53e46f24ac7be36af9bbd770639 0 The purchase of an adjacent lot -- and sale of part of it to Obama by the wife of developer -- attracted media attention because of conviction on political corruption charges . + L:LIST a9b857f3a0814f11a6b4365006ef2f1b + L:IDENTIFYING_DEFINITION 5a04fa1fc69b4f0daaaacbc1452e852d + L:ELABORATION 09db8ee1dc8a40e5bf3a8c5bb645205d + L:ELABORATION 02d9dc8e44a0480a8df8635a4b9fc9ba + +5a04fa1fc69b4f0daaaacbc1452e852d 1 Rezko 's subsequent indictment and conviction on political corruption charges were unrelated to Obama . + +09db8ee1dc8a40e5bf3a8c5bb645205d 1 Tony Rezko was developer . + +02d9dc8e44a0480a8df8635a4b9fc9ba 1 Tony Rezko was campaign donor and friend . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 97/527 # + +'In December 2007, Money Magazine estimated Obama's net worth at $1.3 million.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) + ├────────s────────> 'This was at $ 1.3 million .' + └───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + ├───s───> 'This was in December 2007 .' + └───n───> 'Money Magazine estimated Obama 's net worth .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# In December 2007, Money Magazine estimated Obama's net worth at $1.3 million. + +cab1c39ebad446068c3307e7def8269e 0 Money Magazine estimated Obama 's net worth . + S:TEMPORAL This was in December 2007 . + S:TEMPORAL This was at $ 1.3 million . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 98/527 # + +'Their 2009 tax return showed a household income of $5.5 million—up from about $4.2 million in 2007 and $1.6 million in 2005—mostly from sales of his books.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> CO/LIST (NULL, PostListNPExtractor) + ├───n───> 'Their 2009 tax return showed a household income of $ 5.5 million -- up from about $ 4.2 million in 2007 -- mostly from sales of his books .' + └───n───> 'Their 2009 tax return showed a household income of $ 5.5 million -- up from $ 1.6 million in 2005 -- mostly from sales of his books .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# Their 2009 tax return showed a household income of $5.5 million—up from about $4.2 million in 2007 and $1.6 million in 2005—mostly from sales of his books. + +fa3031f8e1694192a1d6f07c49479ae4 0 Their 2009 tax return showed a household income of $ 5.5 million -- up from about $ 4.2 million in 2007 -- mostly from sales of his books . + L:LIST 1f0784c9204846f48875e24edad61476 + +1f0784c9204846f48875e24edad61476 0 Their 2009 tax return showed a household income of $ 5.5 million -- up from $ 1.6 million in 2005 -- mostly from sales of his books . + L:LIST fa3031f8e1694192a1d6f07c49479ae4 + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 99/527 # + +'On his 2010 income of $1.7 million, he gave 14% to non-profit organizations, including $131,000 to Fisher House Foundation, a charity assisting wounded veterans' families, allowing them to reside near where the veteran is receiving medical treatments.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/ELABORATION (NULL, NonRestrictiveAppositionExtractor) + ├──────────────────s──────────────────> SUB/IDENTIFYING_DEFINITION ('', RestrictiveParticipialExtractor) + | ├───n───> 'Fisher House Foundation was a charity .' + | └───s───> 'A charity was assisting wounded veterans ' families .' + └───n───> CO/UNKNOWN_COORDINATION (NULL, SharedNPPostParticipalExtractor) + ├───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + | ├─────────────s─────────────> 'This was to non-profit organizations .' + | └───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + | ├────────s────────> 'This was on his 2010 income of $ 1.7 million .' + | └───n───> SUB/TEMPORAL (NULL, PrepositionalMiddleFinalExtractor) + | ├───s───> 'This was including $ 131,000 to Fisher House Foundation .' + | └───n───> 'He gave 14 % .' + └─────────────n─────────────> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + ├───s───> 'This was on his 2010 income of $ 1.7 million .' + └───n───> 'He was allowing them to reside near where the veteran is receiving medical treatments .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# On his 2010 income of $1.7 million, he gave 14% to non-profit organizations, including $131,000 to Fisher House Foundation, a charity assisting wounded veterans' families, allowing them to reside near where the veteran is receiving medical treatments. + +7ed58117281b4d7da74abd82cc2f10ce 0 He gave 14 % . + S:TEMPORAL This was including $ 131,000 to Fisher House Foundation . + S:TEMPORAL This was on his 2010 income of $ 1.7 million . + S:UNKNOWN_SUBORDINATION This was to non-profit organizations . + L:ELABORATION 2d858fe2d5e845708a21d0f365748e01 + +b790ef6a346647aaae7c5712be334887 0 He was allowing them to reside near where the veteran is receiving medical treatments . + S:TEMPORAL This was on his 2010 income of $ 1.7 million . + L:ELABORATION 2d858fe2d5e845708a21d0f365748e01 + +2d858fe2d5e845708a21d0f365748e01 1 Fisher House Foundation was a charity . + L:IDENTIFYING_DEFINITION 7de29456d2c440ec87e63e8654156a1e + +7de29456d2c440ec87e63e8654156a1e 2 A charity was assisting wounded veterans ' families . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 100/527 # + +'Per his 2012 financial disclosure, Obama may be worth as much as $10 million.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + ├───s───> 'This is per his 2012 financial disclosure .' + └───n───> 'Obama may be worth as much as $ 10 million .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# Per his 2012 financial disclosure, Obama may be worth as much as $10 million. + +9a27cbc1084e4e72aaaf5ce0944d15b3 0 Obama may be worth as much as $ 10 million . + S:TEMPORAL This is per his 2012 financial disclosure . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 101/527 # + +'In early 2010, Michelle spoke about her husband's smoking habit and said that Barack had quit smoking.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> CO/LIST ('and', SharedNPPostCoordinationExtractor) + ├───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + | ├───s───> 'This was in early 2010 .' + | └───n───> 'Michelle spoke about her husband 's smoking habit .' + └───n───> SUB/ATTRIBUTION (NULL, SubordinationPostAttributionExtractor2) + ├───s───> 'This was what Michelle said in early 2010 .' + └───n───> 'Barack had quit smoking .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# In early 2010, Michelle spoke about her husband's smoking habit and said that Barack had quit smoking. + +a9ddf68e75774eeabccd6d97f34e9be6 0 Michelle spoke about her husband 's smoking habit . + S:TEMPORAL This was in early 2010 . + L:LIST 1179b8f45cf547df8459fabc1cfc2af2 + +1179b8f45cf547df8459fabc1cfc2af2 0 Barack had quit smoking . + S:ATTRIBUTION This was what Michelle said in early 2010 . + L:LIST a9ddf68e75774eeabccd6d97f34e9be6 + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 102/527 # + +'On his 55th birthday, August 4, 2016, Obama penned an essay in Glamour, in which he described how his daughters and the presidency have made him a feminist.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/DESCRIBING_DEFINITION ('in which', NonRestrictiveRelativeClausePrepWhichWhoExtractor) + ├───n───> SUB/ELABORATION (NULL, NonRestrictiveAppositionExtractor) + | ├────────s────────> 'His 55th birthday was August 4 , 2016 .' + | └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalInitialExtractor) + | ├───s───> 'This was on his 55th birthday .' + | └───n───> 'Obama penned an essay in Glamour .' + └────────s────────> SUB/ATTRIBUTION (NULL, SubordinationPostAttributionExtractor) + ├───s───> 'This was what he described .' + └───n───> 'How his daughters and the presidency have made him a feminist in Glamour .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# On his 55th birthday, August 4, 2016, Obama penned an essay in Glamour, in which he described how his daughters and the presidency have made him a feminist. + +ce0e542f95db40e8af7cfa7882f41399 0 Obama penned an essay in Glamour . + S:UNKNOWN_SUBORDINATION This was on his 55th birthday . + L:ELABORATION e9e6e9c5cabb4669acdbbd9aada84de7 + L:DESCRIBING_DEFINITION 3188a2ea50274098babf28458e667539 + +e9e6e9c5cabb4669acdbbd9aada84de7 1 His 55th birthday was August 4 , 2016 . + +3188a2ea50274098babf28458e667539 1 How his daughters and the presidency have made him a feminist in Glamour . + S:ATTRIBUTION This was what he described . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 103/527 # + +'Obama is a Protestant Christian whose religious views developed in his adult life.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/IDENTIFYING_DEFINITION (NULL, RestrictiveRelativeClauseWhoseExtractor) + ├───n───> 'Obama is a Protestant Christian .' + └───s───> 'A Protestant Christian 's religious developed in his adult life .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# Obama is a Protestant Christian whose religious views developed in his adult life. + +cc2d9344e7384fdca8276d9bd4ba3708 0 Obama is a Protestant Christian . + L:IDENTIFYING_DEFINITION f6de68ca1bfa45a78ce8a11156d77668 + +f6de68ca1bfa45a78ce8a11156d77668 1 A Protestant Christian 's religious developed in his adult life . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 104/527 # + +'He wrote in The Audacity of Hope that he was not raised in a religious household.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/UNKNOWN_SUBORDINATION ('that', SubordinationPostExtractor) + ├───n───> 'He wrote in The Audacity of Hope .' + └───s───> 'He was not raised in a religious household .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# He wrote in The Audacity of Hope that he was not raised in a religious household. + +472f903b210b4157bddaf1e4a41875ee 0 He wrote in The Audacity of Hope . + L:UNKNOWN_SUBORDINATION bd7d5845d4ad41edb04b620c471ff3d5 + +bd7d5845d4ad41edb04b620c471ff3d5 1 He was not raised in a religious household . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 105/527 # + +'He described his mother, raised by non-religious parents, as being detached from religion, yet in many ways the most spiritually awakened person that I have ever known.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/BACKGROUND (NULL, SharedNPPostParticipalExtractor) + ├────────n────────> SUB/UNKNOWN_SUBORDINATION ('', ParticipialMiddleExtractor) + | ├───n───> 'He described his mother .' + | └───s───> 'His mother was raised by non-religious parents .' + └───s───> SUB/UNKNOWN_SUBORDINATION ('that', SubordinationPostExtractor) + ├───n───> SUB/UNKNOWN_SUBORDINATION (NULL, AdjectivalAdverbialMiddleFinalExtractor) + | ├───s───> 'This was yet in many ways .' + | └───n───> 'He was being detached from religion the most spiritually awakened person .' + └────────s────────> 'I have ever known .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# He described his mother, raised by non-religious parents, as being detached from religion, yet in many ways the most spiritually awakened person that I have ever known. + +1336a6fb8b224c4b9dc74745f94ad6bb 0 He described his mother . + L:UNKNOWN_SUBORDINATION 6c2009e41e3342e09f75aa11717b0113 + L:BACKGROUND 37869e92f7de46b5bab34e429a9dad5f + +6c2009e41e3342e09f75aa11717b0113 1 His mother was raised by non-religious parents . + +37869e92f7de46b5bab34e429a9dad5f 1 He was being detached from religion the most spiritually awakened person . + S:UNKNOWN_SUBORDINATION This was yet in many ways . + L:UNKNOWN_SUBORDINATION dcd2ea2c260b4f58b304114e4ede80a7 + +dcd2ea2c260b4f58b304114e4ede80a7 2 I have ever known . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 106/527 # + +'He described his father as a confirmed atheist by the time his parents met, and his stepfather as a man who saw religion as not particularly useful.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/IDENTIFYING_DEFINITION ('who', RestrictiveRelativeClauseWhoWhichExtractor) + ├───n───> CO/LIST (', and', SharedNPPostCoordinationExtractor) + | ├────────n────────> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + | | ├─────────────s─────────────> 'This was as a confirmed atheist .' + | | └───n───> SUB/IDENTIFYING_DEFINITION ('', RestrictiveRelativeClauseWithoutRelativePronounExtractor) + | | ├───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + | | | ├───s───> 'This was by the time .' + | | | └───n───> 'He described his father .' + | | └────────s────────> 'His parents met the time .' + | └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + | ├──────────────────s──────────────────> 'This was as a confirmed atheist .' + | └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + | ├─────────────s─────────────> 'This was by the time .' + | └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + | ├───s───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + | | ├───s───> 'This was his stepfather as a man .' + | | └───n───> 'This was his parents .' + | └────────n────────> 'He described his father .' + └────────────────────────────s────────────────────────────> 'A man saw religion as not particularly useful .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# He described his father as a confirmed atheist by the time his parents met, and his stepfather as a man who saw religion as not particularly useful. + +a54577b0d6b1450db9db99a2dd6c2c81 0 He described his father . + S:UNKNOWN_SUBORDINATION This was by the time . + S:UNKNOWN_SUBORDINATION This was as a confirmed atheist . + L:IDENTIFYING_DEFINITION 07a1ac90163c409280c76234290926e3 + L:LIST 5fdf6da7de5f4bed8c5d7b0b06413be7 + L:IDENTIFYING_DEFINITION 3dd86955c8e742e887aa4a81c58a2935 + +07a1ac90163c409280c76234290926e3 1 His parents met the time . + +5fdf6da7de5f4bed8c5d7b0b06413be7 0 He described his father . + S:UNKNOWN_SUBORDINATION This was by the time . + S:UNKNOWN_SUBORDINATION This was as a confirmed atheist . + L:UNKNOWN_SUBORDINATION 605c99d8a5254f11a70f2f508b87375d + L:LIST a54577b0d6b1450db9db99a2dd6c2c81 + L:IDENTIFYING_DEFINITION 3dd86955c8e742e887aa4a81c58a2935 + +605c99d8a5254f11a70f2f508b87375d 1 This was his parents . + S:UNKNOWN_SUBORDINATION This was his stepfather as a man . + +3dd86955c8e742e887aa4a81c58a2935 1 A man saw religion as not particularly useful . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 107/527 # + +'Obama explained how, through working with black churches as a community organizer while in his twenties, he came to understand the power of the African-American religious tradition to spur social change.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> CO/UNKNOWN_COORDINATION (NULL, SharedNPPostParticipalExtractor) + ├─────────────n─────────────> 'Obama explained how .' + └───n───> CO/CONTRAST ('while', SubordinationPostExtractor) + ├───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + | ├───s───> 'This was as a community organizer .' + | └───n───> 'Obama was working with black churches .' + └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalInitialExtractor) + ├───s───> 'This was in his twenties .' + └───n───> 'He came to understand the power of the African-American religious tradition to spur social change .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# Obama explained how, through working with black churches as a community organizer while in his twenties, he came to understand the power of the African-American religious tradition to spur social change. + +f3336d094ab941238cce97dcf4bbd033 0 Obama explained how . + +4ab5660c21964bbe81ca0a7895b70f9b 0 Obama was working with black churches . + S:UNKNOWN_SUBORDINATION This was as a community organizer . + L:CONTRAST 8bfca295671b449b962df82281706c0f + +8bfca295671b449b962df82281706c0f 0 He came to understand the power of the African-American religious tradition to spur social change . + S:UNKNOWN_SUBORDINATION This was in his twenties . + L:CONTRAST 4ab5660c21964bbe81ca0a7895b70f9b + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 108/527 # + +'In January 2008, Obama told Christianity Today: I am a Christian, and I am a devout Christian.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> CO/UNKNOWN_COORDINATION (':', CoordinationExtractor) + ├───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + | ├───s───> 'This was in January 2008 .' + | └───n───> 'Obama told Christianity Today .' + └───n───> CO/LIST (', and', CoordinationExtractor) + ├───n───> 'I am a Christian .' + └───n───> 'I am a devout Christian .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# In January 2008, Obama told Christianity Today: I am a Christian, and I am a devout Christian. + +d250db44139d43dcb8e24fbfaf12074e 0 Obama told Christianity Today . + S:TEMPORAL This was in January 2008 . + +1b9c4e8c2d6448f78fd7b776e71df1c6 0 I am a Christian . + L:LIST 06d4acc8a6b5456ea3d742e7d536873c + +06d4acc8a6b5456ea3d742e7d536873c 0 I am a devout Christian . + L:LIST 1b9c4e8c2d6448f78fd7b776e71df1c6 + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 109/527 # + +'I believe in the redemptive death and resurrection of Jesus Christ.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> 'I believe in the redemptive death and resurrection of Jesus Christ .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# I believe in the redemptive death and resurrection of Jesus Christ. + +2450ed4e322d40eeb400b80b90ea811d 0 I believe in the redemptive death and resurrection of Jesus Christ . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 110/527 # + +'I believe that faith gives me a path to be cleansed of sin and have eternal life.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/ATTRIBUTION (NULL, SubordinationPostAttributionExtractor2) + ├───s───> 'This is what i believe .' + └───n───> 'Faith gives me a path to be cleansed of sin and have eternal life .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# I believe that faith gives me a path to be cleansed of sin and have eternal life. + +f3f3906a50ba43e38ebd9f6f59666758 0 Faith gives me a path to be cleansed of sin and have eternal life . + S:ATTRIBUTION This is what i believe . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 111/527 # + +'On September 27, 2010, Obama released a statement commenting on his religious views saying, I'm a Christian by choice.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/IDENTIFYING_DEFINITION ('', RestrictiveParticipialExtractor) + ├───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + | ├───s───> 'This is on September 27 , 2010 .' + | └───n───> 'Obama released a statement , I 'm a Christian by choice .' + └───s───> CO/UNKNOWN_COORDINATION (NULL, SharedNPPostParticipalExtractor) + ├───n───> 'A statement is commenting on his religious views .' + └───n───> 'A statement is saying .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# On September 27, 2010, Obama released a statement commenting on his religious views saying, I'm a Christian by choice. + +45d43ea54c674b5380b7b45239d0823c 0 Obama released a statement , I 'm a Christian by choice . + S:TEMPORAL This is on September 27 , 2010 . + L:IDENTIFYING_DEFINITION fd7be1b67ad44da4964997a6b7a2d391 + L:IDENTIFYING_DEFINITION 5bcf6ac866154603a7ed54e1a0112fcd + +fd7be1b67ad44da4964997a6b7a2d391 1 A statement is commenting on his religious views . + +5bcf6ac866154603a7ed54e1a0112fcd 1 A statement is saying . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 112/527 # + +'My family didn't – frankly, they weren't folks who went to church every week.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> CO/UNKNOWN_COORDINATION ('--', CoordinationExtractor) + ├─────────────n─────────────> 'My family did n't .' + └───n───> SUB/IDENTIFYING_DEFINITION ('who', RestrictiveRelativeClauseWhoWhichExtractor) + ├───n───> SUB/UNKNOWN_SUBORDINATION (NULL, AdjectivalAdverbialInitialExtractor) + | ├───s───> 'This was frankly .' + | └───n───> 'They were n't folks .' + └────────s────────> 'Folks went to church every week .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# My family didn't – frankly, they weren't folks who went to church every week. + +3af549a78a674bb99707472bfb55dbe7 0 My family did n't . + +4d02606485ea4276b1fdfaab18e0ba09 0 They were n't folks . + S:UNKNOWN_SUBORDINATION This was frankly . + L:IDENTIFYING_DEFINITION 8606cba6cb0547cba187406631bdc6cb + +8606cba6cb0547cba187406631bdc6cb 1 Folks went to church every week . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 113/527 # + +'And my mother was one of the most spiritual people I knew, but she didn't raise me in the church.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> CO/CONTRAST (', but', CoordinationExtractor) + ├───n───> SUB/IDENTIFYING_DEFINITION ('', RestrictiveRelativeClauseWithoutRelativePronounExtractor) + | ├───n───> 'And my mother was one of the most spiritual people .' + | └───s───> 'I knew the most spiritual people .' + └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + ├───s───> 'This was in the church .' + └───n───> 'And she did n't raise me .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# And my mother was one of the most spiritual people I knew, but she didn't raise me in the church. + +44cf6dbb575c43f59ea9f9570bd44936 0 And my mother was one of the most spiritual people . + L:IDENTIFYING_DEFINITION bc165ef7c2464392866fbb77ad9d5e2d + L:CONTRAST d548d71da7fd49e98c82bb633f04b1d2 + +bc165ef7c2464392866fbb77ad9d5e2d 1 I knew the most spiritual people . + +d548d71da7fd49e98c82bb633f04b1d2 0 And she did n't raise me . + S:UNKNOWN_SUBORDINATION This was in the church . + L:CONTRAST 44cf6dbb575c43f59ea9f9570bd44936 + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 114/527 # + +'So I came to my Christian faith later in life, and it was because the precepts of Jesus Christ spoke to me in terms of the kind of life that I would want to lead – being my brothers' and sisters' keeper, treating others as they would treat me.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> CO/UNKNOWN_COORDINATION (NULL, CoordinationExtractor) + ├────────n────────> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + | ├───s───> 'This was later in life .' + | └───n───> 'So I came to my Christian faith .' + ├───n───> SUB/CAUSE ('because', SubordinationPostExtractor) + | ├────────n────────> 'So it was .' + | └───s───> SUB/ATTRIBUTION (NULL, SubordinationPostAttributionExtractor2) + | ├───s───> 'This was what the precepts of Jesus Christ spoke to me in terms of the kind of life .' + | └───n───> 'I would want to lead -- being my brothers ' and sisters ' keeper .' + └────────n────────> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + ├───s───> 'This is as they .' + └───n───> 'So treating others would treat me .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# So I came to my Christian faith later in life, and it was because the precepts of Jesus Christ spoke to me in terms of the kind of life that I would want to lead – being my brothers' and sisters' keeper, treating others as they would treat me. + +096b22473a7f4539973164cf9b651f0d 0 So I came to my Christian faith . + S:UNKNOWN_SUBORDINATION This was later in life . + +b517896c7efd45049e1a879f5485d9b2 0 So it was . + L:CAUSE 881d770e3c8046c0bdf30ce15d93616e + +881d770e3c8046c0bdf30ce15d93616e 1 I would want to lead -- being my brothers ' and sisters ' keeper . + S:ATTRIBUTION This was what the precepts of Jesus Christ spoke to me in terms of the kind of life . + +eb94568b3b154201a82fa328a4613e7b 0 So treating others would treat me . + S:UNKNOWN_SUBORDINATION This is as they . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 115/527 # + +'Obama met Trinity United Church of Christ pastor Rev. Jeremiah Wright in October 1987 and became a member of Trinity in 1992.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) + ├─────────────s─────────────> 'Jeremiah Wright was Christ pastor Rev. .' + └───n───> CO/LIST ('and', SharedNPPostCoordinationExtractor) + ├───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) + | ├───s───> 'This was in October 1987 .' + | └───n───> 'Obama met Trinity United Church of Jeremiah Wright .' + └───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) + ├───s───> 'This was in 1992 .' + └───n───> 'Obama became a member of Trinity .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# Obama met Trinity United Church of Christ pastor Rev. Jeremiah Wright in October 1987 and became a member of Trinity in 1992. + +a085022eae25478793738cfd5f49382f 0 Obama met Trinity United Church of Jeremiah Wright . + S:TEMPORAL This was in October 1987 . + L:LIST 465bace9da854c7c9a1fa881606f132c + L:ELABORATION 98b7772d273d4934b956b32dfb1cb0c8 + +465bace9da854c7c9a1fa881606f132c 0 Obama became a member of Trinity . + S:TEMPORAL This was in 1992 . + L:LIST a085022eae25478793738cfd5f49382f + L:ELABORATION 98b7772d273d4934b956b32dfb1cb0c8 + +98b7772d273d4934b956b32dfb1cb0c8 1 Jeremiah Wright was Christ pastor Rev. . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 116/527 # + +'During Obama's first presidential campaign in May 2008, he resigned from Trinity after some of Wright's statements were criticized.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/TEMPORAL_BEFORE ('after', SubordinationPostExtractor) + ├───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + | ├───s───> 'This was during Obama 's first presidential campaign in May 2008 .' + | └───n───> 'He resigned from Trinity .' + └────────s────────> 'Some of Wright 's statements were criticized .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# During Obama's first presidential campaign in May 2008, he resigned from Trinity after some of Wright's statements were criticized. + +ca0f38df69844f9c8f80ce749cc0f78e 0 He resigned from Trinity . + S:TEMPORAL This was during Obama 's first presidential campaign in May 2008 . + L:TEMPORAL_BEFORE 8d376b2669684547a77709fa73403eea + +8d376b2669684547a77709fa73403eea 1 Some of Wright 's statements were criticized . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 117/527 # + +'Since moving to Washington, D.C., in 2009, the Obama family has attended several Protestant churches, including Shiloh Baptist Church and St. John's Episcopal Church, as well as Evergreen Chapel at Camp David, but the members of the family do not attend church on a regular basis.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> CO/CONTRAST (', but', CoordinationExtractor) + ├───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) + | ├────────s────────> CO/LIST (NULL, PostListNPExtractor) + | | ├───n───> 'John was Shiloh Baptist Church .' + | | └───n───> 'John was St. .' + | └───n───> SUB/CAUSE ('Since', SharedNPPreParticipalExtractor) + | ├───s───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) + | | ├───s───> 'This was in 2009 .' + | | └───n───> 'The Obama family was moving to Washington , D.C. .' + | └───n───> SUB/SPATIAL (NULL, PrepositionalMiddleFinalExtractor) + | ├───s───> 'This was including John 's Episcopal Church , as well as Evergreen Chapel at Camp David .' + | └───n───> 'The Obama family has attended several Protestant churches .' + └─────────────n─────────────> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + ├───s───> 'This is on a regular basis .' + └───n───> 'The members of the family do not attend church .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# Since moving to Washington, D.C., in 2009, the Obama family has attended several Protestant churches, including Shiloh Baptist Church and St. John's Episcopal Church, as well as Evergreen Chapel at Camp David, but the members of the family do not attend church on a regular basis. + +4fbc59dac97642159bc5a9c0ed34c992 0 The Obama family has attended several Protestant churches . + S:SPATIAL This was including John 's Episcopal Church , as well as Evergreen Chapel at Camp David . + L:CAUSE 3823b461f8f7406ca2a098f3418632c0 + L:ELABORATION 0e3376986edc41cf8ec394dabeaae6d4 + L:ELABORATION a731a4b87eea449f98b570c629be291a + L:CONTRAST b4024d3c8db54462b53fbd1fbaa62e92 + +3823b461f8f7406ca2a098f3418632c0 1 The Obama family was moving to Washington , D.C. . + S:TEMPORAL This was in 2009 . + +0e3376986edc41cf8ec394dabeaae6d4 1 John was Shiloh Baptist Church . + L:LIST a731a4b87eea449f98b570c629be291a + +a731a4b87eea449f98b570c629be291a 1 John was St. . + L:LIST 0e3376986edc41cf8ec394dabeaae6d4 + +b4024d3c8db54462b53fbd1fbaa62e92 0 The members of the family do not attend church . + S:UNKNOWN_SUBORDINATION This is on a regular basis . + L:CONTRAST 4fbc59dac97642159bc5a9c0ed34c992 + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 118/527 # + +'Two years after graduating from Columbia, Obama was back in Chicago when he was hired as director of the Developing Communities Project, a church-based community organization originally comprising eight Catholic parishes in Roseland, West Pullman, and Riverdale on Chicago's South Side.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/TEMPORAL_BEFORE ('Two years after', SharedNPPreParticipalExtractor) + ├─────────────s─────────────> 'Obama was graduating from Columbia .' + └───n───> SUB/BACKGROUND ('when', SubordinationPostExtractor) + ├────────n────────> 'Obama was back in Chicago .' + └───s───> CO/LIST (NULL, PostListNPExtractor) + ├───n───> 'He was hired as director of the Developing Communities Project .' + ├───n───> 'He was hired as a church-based community organization originally comprising eight Catholic parishes in Roseland .' + ├───n───> 'He was hired as West Pullman .' + └───n───> 'He was hired as Riverdale on Chicago 's South Side .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# Two years after graduating from Columbia, Obama was back in Chicago when he was hired as director of the Developing Communities Project, a church-based community organization originally comprising eight Catholic parishes in Roseland, West Pullman, and Riverdale on Chicago's South Side. + +1b5136014d294201b14e9ed1e5fe59c4 0 Obama was back in Chicago . + L:BACKGROUND efc0800a4a8540f599379afa5e03ca42 + L:BACKGROUND 0d5d8db16eea4abb9331cefd8d25a266 + L:BACKGROUND f5a9873cc5db4b09803e0c8a035bb258 + L:BACKGROUND 646a93bd613f4b1b9d4773341da4bf6e + L:TEMPORAL_BEFORE cb3d4e55e398419d84ca426c35fab4ca + +efc0800a4a8540f599379afa5e03ca42 1 He was hired as director of the Developing Communities Project . + L:LIST 0d5d8db16eea4abb9331cefd8d25a266 + L:LIST f5a9873cc5db4b09803e0c8a035bb258 + L:LIST 646a93bd613f4b1b9d4773341da4bf6e + +0d5d8db16eea4abb9331cefd8d25a266 1 He was hired as a church-based community organization originally comprising eight Catholic parishes in Roseland . + L:LIST f5a9873cc5db4b09803e0c8a035bb258 + L:LIST 646a93bd613f4b1b9d4773341da4bf6e + L:LIST efc0800a4a8540f599379afa5e03ca42 + +f5a9873cc5db4b09803e0c8a035bb258 1 He was hired as West Pullman . + L:LIST 646a93bd613f4b1b9d4773341da4bf6e + L:LIST efc0800a4a8540f599379afa5e03ca42 + L:LIST 0d5d8db16eea4abb9331cefd8d25a266 + +646a93bd613f4b1b9d4773341da4bf6e 1 He was hired as Riverdale on Chicago 's South Side . + L:LIST efc0800a4a8540f599379afa5e03ca42 + L:LIST 0d5d8db16eea4abb9331cefd8d25a266 + L:LIST f5a9873cc5db4b09803e0c8a035bb258 + +cb3d4e55e398419d84ca426c35fab4ca 1 Obama was graduating from Columbia . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 119/527 # + +'He worked there as a community organizer from June 1985 to May 1988.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) + ├────────s────────> 'This was from June 1985 .' + └───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) + ├───s───> 'This was to May 1988 .' + └───n───> 'He worked there as a community organizer .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# He worked there as a community organizer from June 1985 to May 1988. + +43ce5b05a8a046a0bd79f8de4152b7c3 0 He worked there as a community organizer . + S:TEMPORAL This was to May 1988 . + S:TEMPORAL This was from June 1985 . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 120/527 # + +'He helped set up a job training program, a college preparatory tutoring program, and a tenants' rights organization in Altgeld Gardens.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> CO/LIST (NULL, PostListNPExtractor) + ├───n───> 'He helped set up a job training program .' + ├───n───> 'He helped set up a college preparatory tutoring program .' + └───n───> 'He helped set up a tenants ' rights organization in Altgeld Gardens .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# He helped set up a job training program, a college preparatory tutoring program, and a tenants' rights organization in Altgeld Gardens. + +dd2d62fd01de4d0e821601fa5a67b23a 0 He helped set up a job training program . + L:LIST 6854accd2de143b58d2e357f80022352 + L:LIST 9356b5280a5645ed97d0d2320f93fda4 + +6854accd2de143b58d2e357f80022352 0 He helped set up a college preparatory tutoring program . + L:LIST 9356b5280a5645ed97d0d2320f93fda4 + L:LIST dd2d62fd01de4d0e821601fa5a67b23a + +9356b5280a5645ed97d0d2320f93fda4 0 He helped set up a tenants ' rights organization in Altgeld Gardens . + L:LIST dd2d62fd01de4d0e821601fa5a67b23a + L:LIST 6854accd2de143b58d2e357f80022352 + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 121/527 # + +'Obama also worked as a consultant and instructor for the Gamaliel Foundation, a community organizing institute.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/ELABORATION (NULL, NonRestrictiveAppositionExtractor) + ├───s───> SUB/IDENTIFYING_DEFINITION ('', RestrictiveParticipialExtractor) + | ├───n───> 'The Gamaliel Foundation was a community .' + | └───s───> 'A community was organizing institute .' + └────────n────────> 'Obama also worked as a consultant and instructor for the Gamaliel Foundation .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# Obama also worked as a consultant and instructor for the Gamaliel Foundation, a community organizing institute. + +daaf80e9ea824abeb6e4f41c23f60e0b 0 Obama also worked as a consultant and instructor for the Gamaliel Foundation . + L:ELABORATION 974b27dbd3d740ebaa08c5fd60d3d447 + +974b27dbd3d740ebaa08c5fd60d3d447 1 The Gamaliel Foundation was a community . + L:IDENTIFYING_DEFINITION 09197921ce3d48dea731c0be2427e426 + +09197921ce3d48dea731c0be2427e426 2 A community was organizing institute . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 122/527 # + +'In mid-1988, he traveled for the first time in Europe for three weeks and then for five weeks in Kenya, where he met many of his paternal relatives for the first time.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/SPATIAL (NULL, NonRestrictiveRelativeClauseWhereExtractor) + ├───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) + | ├─────────────s─────────────> 'This was for three weeks and then for five weeks in Kenya .' + | └───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) + | ├────────s────────> 'This was in Europe .' + | └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalInitialExtractor) + | ├───s───> 'This was in mid-1988 .' + | └───n───> 'He traveled for the first time .' + └─────────────s─────────────> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + ├───s───> 'This was for the first time .' + └───n───> 'He met many of his paternal relatives .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# In mid-1988, he traveled for the first time in Europe for three weeks and then for five weeks in Kenya, where he met many of his paternal relatives for the first time. + +9e0667b7f14448db9cb4e4535cbb1dcb 0 He traveled for the first time . + S:UNKNOWN_SUBORDINATION This was in mid-1988 . + S:SPATIAL This was in Europe . + S:SPATIAL This was for three weeks and then for five weeks in Kenya . + L:SPATIAL 92c1e32b175f492d91e41ba576af3566 + +92c1e32b175f492d91e41ba576af3566 1 He met many of his paternal relatives . + S:UNKNOWN_SUBORDINATION This was for the first time . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 123/527 # + +'Derrick Bell threatens to leave Harvard, April 24, 1990, 11:34, Boston TV Digital Archive Student Barack Obama introduces Professor Derrick Bell starting at 6:25.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) + ├───────────────────────s───────────────────────> 'Barack Obama is Boston TV Digital Archive Student .' + └───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) + ├──────────────────s──────────────────> 'Derrick Bell is Professor .' + └───n───> SUB/ELABORATION (NULL, NonRestrictiveAppositionExtractor) + ├────────s────────> SUB/IDENTIFYING_DEFINITION ('', RestrictiveRelativeClauseWithoutRelativePronounExtractor) + | ├───n───> 'Harvard , April 24 , 1990 , 11:34 introduces Derrick Bell starting at 6:25 .' + | └───s───> 'Is Barack Obama Harvard , April 24 , 1990 , 11:34 .' + └───n───> SUB/ELABORATION (NULL, NonRestrictiveAppositionExtractor) + ├────────s────────> 'Harvard , April 24 , 1990 is 11:34 .' + └───n───> SUB/ELABORATION (NULL, NonRestrictiveAppositionExtractor) + ├───s───> 'Harvard is April 24 , 1990 .' + └───n───> 'Derrick Bell threatens to leave Harvard .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# Derrick Bell threatens to leave Harvard, April 24, 1990, 11:34, Boston TV Digital Archive Student Barack Obama introduces Professor Derrick Bell starting at 6:25. + +20181968f1f544d9af9bc66ab4b07494 0 Derrick Bell threatens to leave Harvard . + L:ELABORATION 04f723eb29624138be4737ed0b30214f + L:ELABORATION 3c8bfd0599684945a39a42b5fbf03b53 + L:ELABORATION 2d963fbe64354742902771c00b73d185 + L:ELABORATION 0b05f56a14cc4f2fa977dd73dafcc10d + L:ELABORATION 440a4d24b7dc47e2be9d2718fa821e8d + +04f723eb29624138be4737ed0b30214f 1 Harvard is April 24 , 1990 . + +3c8bfd0599684945a39a42b5fbf03b53 1 Harvard , April 24 , 1990 is 11:34 . + +2d963fbe64354742902771c00b73d185 1 Harvard , April 24 , 1990 , 11:34 introduces Derrick Bell starting at 6:25 . + L:IDENTIFYING_DEFINITION 438b2ba5176f417bb187cbfed6391c24 + +438b2ba5176f417bb187cbfed6391c24 2 Is Barack Obama Harvard , April 24 , 1990 , 11:34 . + +0b05f56a14cc4f2fa977dd73dafcc10d 1 Derrick Bell is Professor . + +440a4d24b7dc47e2be9d2718fa821e8d 1 Barack Obama is Boston TV Digital Archive Student . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 124/527 # + +'Obama entered Harvard Law School in the fall of 1988, living in nearby Somerville, Massachusetts.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> CO/UNKNOWN_COORDINATION (NULL, SharedNPPostParticipalExtractor) + ├───n───> 'Obama entered Harvard Law School in the fall of 1988 .' + └───n───> 'Obama was living in nearby Somerville , Massachusetts .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# Obama entered Harvard Law School in the fall of 1988, living in nearby Somerville, Massachusetts. + +00ad3ae5c18b4e75b0c325ab2d7be81b 0 Obama entered Harvard Law School in the fall of 1988 . + +be5cec5d39c24575ab8eb2a14f55b7bc 0 Obama was living in nearby Somerville , Massachusetts . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 125/527 # + +'He was selected as an editor of the Harvard Law Review at the end of his first year, president of the journal in his second year, and research assistant to the constitutional scholar Laurence Tribe while at Harvard for two years.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) + ├─────────────s─────────────> 'Laurence Tribe was the constitutional scholar .' + └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + ├───s───> CO/LIST (NULL, PostListNPExtractor) + | ├───n───> 'This was at the end of his first year while .' + | ├───n───> 'This was at president of the journal in his second year while .' + | └───n───> 'This was at research assistant to Laurence Tribe while .' + └───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) + ├───s───> 'This was at Harvard for two years .' + └───n───> 'He was selected as an editor of the Harvard Law Review .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# He was selected as an editor of the Harvard Law Review at the end of his first year, president of the journal in his second year, and research assistant to the constitutional scholar Laurence Tribe while at Harvard for two years. + +ab4666930afd41f3b1f8b3bf56b07179 0 He was selected as an editor of the Harvard Law Review . + S:TEMPORAL This was at Harvard for two years . + L:UNKNOWN_SUBORDINATION 9f57a540dc07443eb1a1b9e19e4beb42 + L:UNKNOWN_SUBORDINATION edfd60f810174edf8e44281abaf100be + L:UNKNOWN_SUBORDINATION 127f99ea41e1465f81aaaa556a84f9c2 + L:ELABORATION eb2e015d72cd46faa6a0b4e7fe18383e + +9f57a540dc07443eb1a1b9e19e4beb42 1 This was at the end of his first year while . + L:LIST edfd60f810174edf8e44281abaf100be + L:LIST 127f99ea41e1465f81aaaa556a84f9c2 + +edfd60f810174edf8e44281abaf100be 1 This was at president of the journal in his second year while . + L:LIST 127f99ea41e1465f81aaaa556a84f9c2 + L:LIST 9f57a540dc07443eb1a1b9e19e4beb42 + +127f99ea41e1465f81aaaa556a84f9c2 1 This was at research assistant to Laurence Tribe while . + L:LIST 9f57a540dc07443eb1a1b9e19e4beb42 + L:LIST edfd60f810174edf8e44281abaf100be + +eb2e015d72cd46faa6a0b4e7fe18383e 1 Laurence Tribe was the constitutional scholar . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 126/527 # + +'During his summers, he returned to Chicago, where he worked as an associate at the law firms of Sidley Austin in 1989 and Hopkins & Sutter in 1990.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/SPATIAL (NULL, NonRestrictiveRelativeClauseWhereExtractor) + ├────────n────────> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalInitialExtractor) + | ├───s───> 'This was during his summers .' + | └───n───> 'He returned to Chicago .' + └───s───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) + ├───s───> CO/LIST (NULL, PostListNPExtractor) + | ├───n───> 'This was at the law firms of Sidley Austin in 1989 .' + | └───n───> 'This was at the law firms of Hopkins & Sutter in 1990 .' + └────────n────────> 'He worked as an associate .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# During his summers, he returned to Chicago, where he worked as an associate at the law firms of Sidley Austin in 1989 and Hopkins & Sutter in 1990. + +97731013d181438e9dd0fcb882683a5c 0 He returned to Chicago . + S:UNKNOWN_SUBORDINATION This was during his summers . + L:SPATIAL 2ae46cd15cc94a279f8ac7ba60d4d69d + +2ae46cd15cc94a279f8ac7ba60d4d69d 1 He worked as an associate . + L:TEMPORAL 7d67df4176c146b2b436a3c8fa7c4611 + L:TEMPORAL ec7c2a7c28f44b92a3988ea6349d1b83 + +7d67df4176c146b2b436a3c8fa7c4611 2 This was at the law firms of Sidley Austin in 1989 . + L:LIST ec7c2a7c28f44b92a3988ea6349d1b83 + +ec7c2a7c28f44b92a3988ea6349d1b83 2 This was at the law firms of Hopkins & Sutter in 1990 . + L:LIST 7d67df4176c146b2b436a3c8fa7c4611 + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 127/527 # + +'After graduating with a JD degree magna cum laude from Harvard in 1991, he returned to Chicago.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/TEMPORAL_BEFORE ('After', SharedNPPreParticipalExtractor) + ├───s───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) + | ├───s───> 'This was from Harvard in 1991 .' + | └───n───> 'He was graduating with a JD degree magna cum laude .' + └────────n────────> 'He returned to Chicago .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# After graduating with a JD degree magna cum laude from Harvard in 1991, he returned to Chicago. + +eac5554c46a442cdaddab565a987e548 0 He returned to Chicago . + L:TEMPORAL_BEFORE bd36030b3ae14d3cbf8345a3592d3f0e + +bd36030b3ae14d3cbf8345a3592d3f0e 1 He was graduating with a JD degree magna cum laude . + S:TEMPORAL This was from Harvard in 1991 . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 128/527 # + +'Obama's election as the first black president of the Harvard Law Review gained national media attention and led to a publishing contract and advance for a book about race relations, which evolved into a personal memoir.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/DESCRIBING_DEFINITION ('which', NonRestrictiveRelativeClauseWhoWhichExtractor) + ├───n───> CO/LIST ('and', SharedNPPostCoordinationExtractor) + | ├──────────────────n──────────────────> 'Obama 's election as the first black president of the Harvard Law Review gained national media attention .' + | └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + | ├─────────────s─────────────> 'This was about race relations .' + | └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + | ├────────s────────> 'This was for a book .' + | └───n───> CO/LIST (NULL, PostListNPExtractor) + | ├───n───> 'Obama 's election as the first black president of the Harvard Law Review led to a publishing contract .' + | └───n───> 'Obama 's election as the first black president of the Harvard Law Review led to advance .' + └───────────────────────s───────────────────────> 'Race relations evolved into a personal memoir .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# Obama's election as the first black president of the Harvard Law Review gained national media attention and led to a publishing contract and advance for a book about race relations, which evolved into a personal memoir. + +79d20d4c8a4b43049632d50999478bd2 0 Obama 's election as the first black president of the Harvard Law Review gained national media attention . + L:LIST 7ca6f21a4d194fc6bb24ca9519f3e174 + L:LIST 06fce6a485c94f8599b7cb199c70ebfa + L:DESCRIBING_DEFINITION eb0cd3243e9448b4a443cbdf78d2781a + +7ca6f21a4d194fc6bb24ca9519f3e174 0 Obama 's election as the first black president of the Harvard Law Review led to a publishing contract . + S:UNKNOWN_SUBORDINATION This was for a book . + S:UNKNOWN_SUBORDINATION This was about race relations . + L:LIST 06fce6a485c94f8599b7cb199c70ebfa + L:LIST 79d20d4c8a4b43049632d50999478bd2 + L:DESCRIBING_DEFINITION eb0cd3243e9448b4a443cbdf78d2781a + +06fce6a485c94f8599b7cb199c70ebfa 0 Obama 's election as the first black president of the Harvard Law Review led to advance . + S:UNKNOWN_SUBORDINATION This was for a book . + S:UNKNOWN_SUBORDINATION This was about race relations . + L:LIST 7ca6f21a4d194fc6bb24ca9519f3e174 + L:LIST 79d20d4c8a4b43049632d50999478bd2 + L:DESCRIBING_DEFINITION eb0cd3243e9448b4a443cbdf78d2781a + +eb0cd3243e9448b4a443cbdf78d2781a 1 Race relations evolved into a personal memoir . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 129/527 # + +'The manuscript was published in mid-1995 as Dreams from My Father.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + ├────────s────────> 'This was as Dreams .' + └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + ├───s───> 'This was from My Father .' + └───n───> 'The manuscript was published in mid-1995 .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# The manuscript was published in mid-1995 as Dreams from My Father. + +4196857f8d45412f8df57c7c006bfe3d 0 The manuscript was published in mid-1995 . + S:UNKNOWN_SUBORDINATION This was from My Father . + S:UNKNOWN_SUBORDINATION This was as Dreams . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 130/527 # + +'In 1991, Obama accepted a two-year position as Visiting Law and Government Fellow at the University of Chicago Law School to work on his first book.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/BACKGROUND (NULL, SharedNPPostParticipalExtractor) + ├────────n────────> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + | ├───s───> 'This was in 1991 .' + | └───n───> 'Obama accepted a two-year position .' + └───s───> SUB/PURPOSE (NULL, PurposePostExtractor) + ├───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + | ├───s───> 'This was in 1991 .' + | └───n───> 'Obama was visiting Law and Government Fellow at the University of Chicago Law School .' + └────────s────────> 'This was to work on his first book .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# In 1991, Obama accepted a two-year position as Visiting Law and Government Fellow at the University of Chicago Law School to work on his first book. + +36a9be2d42c74b15afc00c5f037f75e0 0 Obama accepted a two-year position . + S:TEMPORAL This was in 1991 . + L:BACKGROUND 23aa250d7932443f84dd3ac60ff8ceb8 + +23aa250d7932443f84dd3ac60ff8ceb8 1 Obama was visiting Law and Government Fellow at the University of Chicago Law School . + S:TEMPORAL This was in 1991 . + S:PURPOSE This was to work on his first book . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 131/527 # + +'He then taught constitutional law at the University of Chicago Law School for twelve years, first as a lecturer from 1992 to 1996, and then as a senior lecturer from 1996 to 2004.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) + ├──────────────────s──────────────────> 'This was at the University of Chicago Law School for twelve years , first as a lecturer from 1992 .' + └───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) + ├─────────────s─────────────> 'This was to 1996 , and then as a senior lecturer .' + └───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) + ├────────s────────> 'This was from 1996 .' + └───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) + ├───s───> 'This was to 2004 .' + └───n───> 'He then taught constitutional law .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# He then taught constitutional law at the University of Chicago Law School for twelve years, first as a lecturer from 1992 to 1996, and then as a senior lecturer from 1996 to 2004. + +aa748b70ee874f57bf20e1e257d2d31b 0 He then taught constitutional law . + S:TEMPORAL This was to 2004 . + S:TEMPORAL This was from 1996 . + S:TEMPORAL This was to 1996 , and then as a senior lecturer . + S:TEMPORAL This was at the University of Chicago Law School for twelve years , first as a lecturer from 1992 . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 132/527 # + +'From April to October 1992, Obama directed Illinois's Project Vote, a voter registration campaign with ten staffers and seven hundred volunteer registrars; it achieved its goal of registering 150,000 of 400,000 unregistered African Americans in the state, leading Crain's Chicago Business to name Obama to its 1993 list of 40 under Forty powers to be.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> CO/UNKNOWN_COORDINATION (';', CoordinationExtractor) + ├───n───> SUB/ELABORATION (NULL, NonRestrictiveAppositionExtractor) + | ├────────s────────> CO/LIST (NULL, PostListNPExtractor) + | | ├───n───> 'Illinois 's Project Vote was a voter registration campaign with ten staffers .' + | | └───n───> 'Illinois 's Project Vote was a voter registration campaign with seven hundred volunteer registrars .' + | └───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + | ├───s───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) + | | ├───s───> 'This was to October 1992 .' + | | └───n───> 'This was from April .' + | └────────n────────> 'Obama directed Illinois 's Project Vote .' + └───n───> CO/UNKNOWN_COORDINATION (NULL, SharedNPPostParticipalExtractor) + ├─────────────n─────────────> 'It achieved its goal of registering 150,000 of 400,000 unregistered African Americans in the state .' + └───n───> SUB/PURPOSE (NULL, PurposePostExtractor) + ├───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) + | ├───s───> 'This was to its 1993 list of 40 under Forty powers .' + | └───n───> 'It was leading Crain 's Chicago Business to name Obama .' + └────────s────────> 'This was to be .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# From April to October 1992, Obama directed Illinois's Project Vote, a voter registration campaign with ten staffers and seven hundred volunteer registrars; it achieved its goal of registering 150,000 of 400,000 unregistered African Americans in the state, leading Crain's Chicago Business to name Obama to its 1993 list of 40 under Forty powers to be. + +7e9c126f8a2841a7b4d8583f6161826d 0 Obama directed Illinois 's Project Vote . + L:TEMPORAL 2d8c4752e10843009d1bf45bb883de17 + L:ELABORATION d1fd4ca6fbf643dd916292d1c3137694 + L:ELABORATION bcdb5c9d1e3d4746901eef91b747544a + +2d8c4752e10843009d1bf45bb883de17 1 This was from April . + S:TEMPORAL This was to October 1992 . + +d1fd4ca6fbf643dd916292d1c3137694 1 Illinois 's Project Vote was a voter registration campaign with ten staffers . + L:LIST bcdb5c9d1e3d4746901eef91b747544a + +bcdb5c9d1e3d4746901eef91b747544a 1 Illinois 's Project Vote was a voter registration campaign with seven hundred volunteer registrars . + L:LIST d1fd4ca6fbf643dd916292d1c3137694 + +a9320b3aabbb4a8a93d831601310c230 0 It achieved its goal of registering 150,000 of 400,000 unregistered African Americans in the state . + +efa720467c834d02ba2a1201be84daa0 0 It was leading Crain 's Chicago Business to name Obama . + S:TEMPORAL This was to its 1993 list of 40 under Forty powers . + S:PURPOSE This was to be . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 133/527 # + +'He joined Davis, Miner, Barnhill & Galland, a 13-attorney law firm specializing in civil rights litigation and neighborhood economic development, where he was an associate for three years from 1993 to 1996, then of counsel from 1996 to 2004.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/SPATIAL (NULL, NonRestrictiveRelativeClauseWhereExtractor) + ├───n───> SUB/ELABORATION (NULL, NonRestrictiveAppositionExtractor) + | ├───s───> SUB/IDENTIFYING_DEFINITION ('', RestrictiveParticipialExtractor) + | | ├─────────────n─────────────> 'Davis , Miner , Barnhill & Galland was a 13-attorney law firm .' + | | └───s───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) + | | ├────────s────────> 'This was from 1996 to 2004 .' + | | └───n───> CO/LIST (NULL, PostListNPExtractor) + | | ├───n───> 'A 13-attorney law firm was specializing in civil rights litigation .' + | | └───n───> 'A 13-attorney law firm was specializing in neighborhood economic development of counsel .' + | └──────────────────n──────────────────> 'He joined Davis , Miner , Barnhill & Galland .' + └──────────────────s──────────────────> SUB/UNKNOWN_SUBORDINATION (NULL, AdjectivalAdverbialMiddleFinalExtractor) + ├───s───> 'This was then .' + └───n───> 'He was an associate for three years from 1993 to 1996 .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# He joined Davis, Miner, Barnhill & Galland, a 13-attorney law firm specializing in civil rights litigation and neighborhood economic development, where he was an associate for three years from 1993 to 1996, then of counsel from 1996 to 2004. + +c1d90910fcea429fa68bb59c1426f76f 0 He joined Davis , Miner , Barnhill & Galland . + L:ELABORATION b88edeb12ccd4bd692231f667df602ca + L:SPATIAL e50cc4e69c31442fb62ce557a11acc2d + +b88edeb12ccd4bd692231f667df602ca 1 Davis , Miner , Barnhill & Galland was a 13-attorney law firm . + L:IDENTIFYING_DEFINITION 73dad1f2b85548c681abdf49a7f538e7 + L:IDENTIFYING_DEFINITION 3ba4e0ea3ef4404aac2874a4665933b4 + +73dad1f2b85548c681abdf49a7f538e7 2 A 13-attorney law firm was specializing in civil rights litigation . + S:TEMPORAL This was from 1996 to 2004 . + L:LIST 3ba4e0ea3ef4404aac2874a4665933b4 + +3ba4e0ea3ef4404aac2874a4665933b4 2 A 13-attorney law firm was specializing in neighborhood economic development of counsel . + S:TEMPORAL This was from 1996 to 2004 . + L:LIST 73dad1f2b85548c681abdf49a7f538e7 + +e50cc4e69c31442fb62ce557a11acc2d 1 He was an associate for three years from 1993 to 1996 . + S:UNKNOWN_SUBORDINATION This was then . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 134/527 # + +'In 1994, he was listed as one of the lawyers in Buycks-Roberson v. Citibank Fed.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + ├───s───> 'This was in 1994 .' + └───n───> 'He was listed as one of the lawyers in Buycks-Roberson v. Citibank Fed .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# In 1994, he was listed as one of the lawyers in Buycks-Roberson v. Citibank Fed. + +18870a1491a044b18624d9464d73f782 0 He was listed as one of the lawyers in Buycks-Roberson v. Citibank Fed . + S:TEMPORAL This was in 1994 . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 135/527 # + +'Sav.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> 'Sav .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# Sav. + +caf431ce0d14469488cbbc8ddfb340dc 0 Sav . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 136/527 # + +'Bank, 94 C 4094 (N.D. Ill.).' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> 'Bank , 94 C 4094 -LRB- N.D. Ill. -RRB- .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# Bank, 94 C 4094 (N.D. Ill.). + +75b67c7500bc4b068c85af9215cd0390 0 Bank , 94 C 4094 -LRB- N.D. Ill. -RRB- . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 137/527 # + +'This class action lawsuit was filed in 1994 with Selma Buycks-Roberson as lead plaintiff and alleged that Citibank Federal Savings Bank had engaged in practices forbidden under the Equal Credit Opportunity Act and the Fair Housing Act.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> CO/LIST ('and', SharedNPPostCoordinationExtractor) + ├─────────────n─────────────> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + | ├───s───> 'This was with Selma Buycks-Roberson as lead plaintiff .' + | └───n───> 'This class action lawsuit was filed in 1994 .' + └───n───> SUB/ATTRIBUTION (NULL, SubordinationPostAttributionExtractor2) + ├─────────────s─────────────> 'This was what this class action lawsuit was alleged .' + └───n───> SUB/IDENTIFYING_DEFINITION ('', RestrictiveParticipialExtractor) + ├────────n────────> 'Citibank Federal Savings Bank had engaged in practices .' + └───s───> CO/LIST (NULL, PostListNPExtractor) + ├───n───> 'Practices were forbidden under the Equal Credit Opportunity Act .' + └───n───> 'Practices were forbidden under the Fair Housing Act .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# This class action lawsuit was filed in 1994 with Selma Buycks-Roberson as lead plaintiff and alleged that Citibank Federal Savings Bank had engaged in practices forbidden under the Equal Credit Opportunity Act and the Fair Housing Act. + +441c2d8be0d64eae9b100bec67c5cbdf 0 This class action lawsuit was filed in 1994 . + S:UNKNOWN_SUBORDINATION This was with Selma Buycks-Roberson as lead plaintiff . + L:LIST 070e4e27d3a542f48613b2d14096f473 + +070e4e27d3a542f48613b2d14096f473 0 Citibank Federal Savings Bank had engaged in practices . + S:ATTRIBUTION This was what this class action lawsuit was alleged . + L:IDENTIFYING_DEFINITION e1c6a77f0b43416fa4a024fb3f821a3c + L:IDENTIFYING_DEFINITION 6609cc55cd64478b89abafc9ce84f289 + L:LIST 441c2d8be0d64eae9b100bec67c5cbdf + +e1c6a77f0b43416fa4a024fb3f821a3c 1 Practices were forbidden under the Equal Credit Opportunity Act . + L:LIST 6609cc55cd64478b89abafc9ce84f289 + +6609cc55cd64478b89abafc9ce84f289 1 Practices were forbidden under the Fair Housing Act . + L:LIST e1c6a77f0b43416fa4a024fb3f821a3c + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 138/527 # + +'The case was settled out of court.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> 'The case was settled out of court .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# The case was settled out of court. + +3d458ac6e3a04a898159a7617fb9617b 0 The case was settled out of court . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 139/527 # + +'Final judgment was issued on May 13, 1998, with Citibank Federal Savings Bank agreeing to pay attorney fees.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/IDENTIFYING_DEFINITION ('', RestrictiveParticipialExtractor) + ├───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + | ├───s───> 'This was with Citibank Federal Savings Bank .' + | └───n───> 'Final judgment was issued on May 13 , 1998 .' + └────────s────────> 'Citibank Federal Savings Bank were agreeing to pay attorney fees .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# Final judgment was issued on May 13, 1998, with Citibank Federal Savings Bank agreeing to pay attorney fees. + +31dd01d6aba441eca4f4feb1819f1295 0 Final judgment was issued on May 13 , 1998 . + S:UNKNOWN_SUBORDINATION This was with Citibank Federal Savings Bank . + L:IDENTIFYING_DEFINITION 2a9248efa26c4b55847659e403827708 + +2a9248efa26c4b55847659e403827708 1 Citibank Federal Savings Bank were agreeing to pay attorney fees . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 140/527 # + +'His law license became inactive in 2007.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) + ├───s───> 'This was in 2007 .' + └───n───> 'His law license became inactive .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# His law license became inactive in 2007. + +365968e5e65a4bfaad7d80a83197fd34 0 His law license became inactive . + S:TEMPORAL This was in 2007 . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 141/527 # + +'From 1994 to 2002, Obama served on the boards of directors of the Woods Fund of Chicago—which in 1985 had been the first foundation to fund the Developing Communities Project—and of the Joyce Foundation.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + ├───s───> 'This was from 1994 to 2002 .' + └───n───> 'Obama served on the boards of directors of the Woods Fund of Chicago -- which in 1985 had been the first foundation to fund the Developing Communities Project -- and of the Joyce Foundation .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# From 1994 to 2002, Obama served on the boards of directors of the Woods Fund of Chicago—which in 1985 had been the first foundation to fund the Developing Communities Project—and of the Joyce Foundation. + +ecceef290f374b0c8a996fb023669004 0 Obama served on the boards of directors of the Woods Fund of Chicago -- which in 1985 had been the first foundation to fund the Developing Communities Project -- and of the Joyce Foundation . + S:TEMPORAL This was from 1994 to 2002 . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 142/527 # + +'He served on the board of directors of the Chicago Annenberg Challenge from 1995 to 2002, as founding president and chairman of the board of directors from 1995 to 1999.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) + ├────────s────────> 'This was from 1995 to 2002 .' + └───n───> SUB/TEMPORAL (NULL, PrepositionalMiddleFinalExtractor) + ├───s───> 'This was as founding president and chairman of the board of directors from 1995 to 1999 .' + └───n───> 'He served on the board of directors of the Chicago Annenberg Challenge .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# He served on the board of directors of the Chicago Annenberg Challenge from 1995 to 2002, as founding president and chairman of the board of directors from 1995 to 1999. + +42267efb2017408f9d38a799c43c27be 0 He served on the board of directors of the Chicago Annenberg Challenge . + S:TEMPORAL This was as founding president and chairman of the board of directors from 1995 to 1999 . + S:TEMPORAL This was from 1995 to 2002 . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 143/527 # + +'State Senator Obama and others celebrate the naming of a street in Chicago after ShoreBank co-founder Milton Davis in 1998.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) + ├─────────────s─────────────> 'Obama is State Senator .' + └───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) + ├────────s────────> 'Milton Davis is ShoreBank co-founder .' + └───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) + ├───s───> 'This is after Milton Davis in 1998 .' + └───n───> 'Obama and others celebrate the naming of a street in Chicago .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# State Senator Obama and others celebrate the naming of a street in Chicago after ShoreBank co-founder Milton Davis in 1998. + +0e9719e503cc40a4a5ff7946cf3b68e0 0 Obama and others celebrate the naming of a street in Chicago . + S:TEMPORAL This is after Milton Davis in 1998 . + L:ELABORATION 4eb5e54d6b3d421c8bda8a17c303e615 + L:ELABORATION ff3f422f4e48455d81c3d0b62b877f86 + +4eb5e54d6b3d421c8bda8a17c303e615 1 Milton Davis is ShoreBank co-founder . + +ff3f422f4e48455d81c3d0b62b877f86 1 Obama is State Senator . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 144/527 # + +'Obama was elected to the Illinois Senate in 1996, succeeding Democratic State Senator Alice Palmer from Illinois's 13th District, which, at that time, spanned Chicago South Side neighborhoods from Hyde Park–Kenwood south to South Shore and west to Chicago Lawn.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/DESCRIBING_DEFINITION ('which', NonRestrictiveRelativeClauseWhoWhichExtractor) + ├───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) + | ├────────s────────> 'Alice Palmer was Democratic State Senator .' + | └───n───> SUB/UNKNOWN_SUBORDINATION ('', ParticipialMiddleExtractor) + | ├───n───> 'Obama was elected to the Illinois Senate in 1996 -- Kenwood south to South Shore and west to Chicago Lawn .' + | └───s───> 'The Illinois Senate in 1996 was succeeding Alice Palmer from Illinois 's 13th District .' + └───s───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) + ├────────s────────> 'This was from Hyde Park .' + └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalMiddleFinalExtractor) + ├───s───> 'This was at that time .' + └───n───> 'Illinois 's 13th District spanned Chicago South Side neighborhoods .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# Obama was elected to the Illinois Senate in 1996, succeeding Democratic State Senator Alice Palmer from Illinois's 13th District, which, at that time, spanned Chicago South Side neighborhoods from Hyde Park–Kenwood south to South Shore and west to Chicago Lawn. + +fa141c115beb453083168ab0c206eeb8 0 Obama was elected to the Illinois Senate in 1996 -- Kenwood south to South Shore and west to Chicago Lawn . + L:UNKNOWN_SUBORDINATION b15ab03413b6468cb680cb5050d5daa2 + L:ELABORATION 841812e4d338410daa0a1e1c676f36a3 + L:DESCRIBING_DEFINITION 067c3dd01398413bb17637062eafdac9 + +b15ab03413b6468cb680cb5050d5daa2 1 The Illinois Senate in 1996 was succeeding Alice Palmer from Illinois 's 13th District . + +841812e4d338410daa0a1e1c676f36a3 1 Alice Palmer was Democratic State Senator . + +067c3dd01398413bb17637062eafdac9 1 Illinois 's 13th District spanned Chicago South Side neighborhoods . + S:UNKNOWN_SUBORDINATION This was at that time . + S:SPATIAL This was from Hyde Park . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 145/527 # + +'Once elected, Obama gained bipartisan support for legislation that reformed ethics and health care laws.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/IDENTIFYING_DEFINITION ('that', RestrictiveRelativeClauseWhoWhichExtractor) + ├───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + | ├───s───> 'This was for legislation .' + | └───n───> 'Once elected , Obama gained bipartisan support .' + └────────s────────> 'Legislation reformed ethics and health care laws .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# Once elected, Obama gained bipartisan support for legislation that reformed ethics and health care laws. + +bb182514634f4ba7852f993e9f56e576 0 Once elected , Obama gained bipartisan support . + S:UNKNOWN_SUBORDINATION This was for legislation . + L:IDENTIFYING_DEFINITION c553e40f895f44d2b3a42436a4ce9833 + +c553e40f895f44d2b3a42436a4ce9833 1 Legislation reformed ethics and health care laws . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 146/527 # + +'He sponsored a law that increased tax credits for low-income workers, negotiated welfare reform, and promoted increased subsidies for childcare.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/IDENTIFYING_DEFINITION ('that', RestrictiveRelativeClauseWhoWhichExtractor) + ├─────────────n─────────────> 'He sponsored a law .' + └───s───> CO/UNKNOWN_COORDINATION (NULL, SharedNPPostCoordinationExtractor) + ├───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + | ├───s───> 'This was for low-income workers .' + | └───n───> 'A law increased tax credits .' + ├────────n────────> 'A law negotiated welfare reform .' + └────────n────────> 'A law promoted increased subsidies for childcare .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# He sponsored a law that increased tax credits for low-income workers, negotiated welfare reform, and promoted increased subsidies for childcare. + +fa60d9aec8cf42a7be192d625091bf22 0 He sponsored a law . + L:IDENTIFYING_DEFINITION 89a090b4f581438a99fb81eab2b23038 + L:IDENTIFYING_DEFINITION 2b13942cafda4b2195909d1bafeacfac + L:IDENTIFYING_DEFINITION 4ae0f6a1a1ec464b978dc382ee4bace6 + +89a090b4f581438a99fb81eab2b23038 1 A law increased tax credits . + S:UNKNOWN_SUBORDINATION This was for low-income workers . + +2b13942cafda4b2195909d1bafeacfac 1 A law negotiated welfare reform . + +4ae0f6a1a1ec464b978dc382ee4bace6 1 A law promoted increased subsidies for childcare . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 147/527 # + +'In 2001, as co-chairman of the bipartisan Joint Committee on Administrative Rules, Obama supported Republican Governor Ryan's payday loan regulations and predatory mortgage lending regulations aimed at averting home foreclosures.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) + ├──────────────────s──────────────────> 'Ryan was Republican Governor .' + └───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + ├─────────────s─────────────> 'This was in 2001 .' + └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalInitialExtractor) + ├────────s────────> 'This was as co-chairman of the bipartisan Joint Committee on Administrative Rules .' + └───n───> CO/LIST (NULL, PostListNPExtractor) + ├───n───> 'Obama supported Ryan 's payday loan regulations .' + └───n───> 'Obama supported predatory mortgage lending regulations aimed at averting home foreclosures .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# In 2001, as co-chairman of the bipartisan Joint Committee on Administrative Rules, Obama supported Republican Governor Ryan's payday loan regulations and predatory mortgage lending regulations aimed at averting home foreclosures. + +abb84d3975bc415fad74115e2de5284c 0 Obama supported Ryan 's payday loan regulations . + S:UNKNOWN_SUBORDINATION This was as co-chairman of the bipartisan Joint Committee on Administrative Rules . + S:TEMPORAL This was in 2001 . + L:LIST abb286aa8c33402d9b61d6ceee311d65 + L:ELABORATION 4b26acac8d2b4804a37454aa2664d745 + +abb286aa8c33402d9b61d6ceee311d65 0 Obama supported predatory mortgage lending regulations aimed at averting home foreclosures . + S:UNKNOWN_SUBORDINATION This was as co-chairman of the bipartisan Joint Committee on Administrative Rules . + S:TEMPORAL This was in 2001 . + L:LIST abb84d3975bc415fad74115e2de5284c + L:ELABORATION 4b26acac8d2b4804a37454aa2664d745 + +4b26acac8d2b4804a37454aa2664d745 1 Ryan was Republican Governor . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 148/527 # + +'He was reelected to the Illinois Senate in 1998, defeating Republican Yesse Yehudah in the general election, and was re-elected again in 2002.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> CO/LIST (', and', SharedNPPostCoordinationExtractor) + ├───n───> CO/UNKNOWN_COORDINATION (NULL, SharedNPPostParticipalExtractor) + | ├────────n────────> 'He was reelected to the Illinois Senate in 1998 .' + | └───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) + | ├───s───> 'Yesse Yehudah was Republican .' + | └───n───> 'He was defeating Yesse Yehudah in the general election .' + └─────────────n─────────────> 'He was re-elected again in 2002 .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# He was reelected to the Illinois Senate in 1998, defeating Republican Yesse Yehudah in the general election, and was re-elected again in 2002. + +439c56563a5c4bb0abd27d2e9f4849e1 0 He was reelected to the Illinois Senate in 1998 . + L:LIST b6e2013b4e3f42acaf84f9a6995e71a7 + +57f9179e1b9a4ba9ac96081071e01f88 0 He was defeating Yesse Yehudah in the general election . + L:ELABORATION 83e54f2bb636445685411fc9c549c402 + L:LIST b6e2013b4e3f42acaf84f9a6995e71a7 + +83e54f2bb636445685411fc9c549c402 1 Yesse Yehudah was Republican . + +b6e2013b4e3f42acaf84f9a6995e71a7 0 He was re-elected again in 2002 . + L:LIST 439c56563a5c4bb0abd27d2e9f4849e1 + L:LIST 57f9179e1b9a4ba9ac96081071e01f88 + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 149/527 # + +'In 2000, he lost a Democratic primary race for Illinois's 1st congressional district in the United States House of Representatives to four-term incumbent Bobby Rush by a margin of two to one.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) + ├────────────────────────────s────────────────────────────> 'House of Representatives was the United States .' + └───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) + ├───────────────────────s───────────────────────> 'This was for Illinois 's 1st congressional district in House of Representatives .' + └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + ├──────────────────s──────────────────> 'This was to four-term incumbent Bobby Rush .' + └───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) + ├─────────────s─────────────> 'This was by a margin of two .' + └───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) + ├────────s────────> 'This was to one .' + └───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + ├───s───> 'This was in 2000 .' + └───n───> 'He lost a Democratic primary race .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# In 2000, he lost a Democratic primary race for Illinois's 1st congressional district in the United States House of Representatives to four-term incumbent Bobby Rush by a margin of two to one. + +259035ed62504ce48daeccfb48386cd1 0 He lost a Democratic primary race . + S:TEMPORAL This was in 2000 . + S:TEMPORAL This was to one . + S:TEMPORAL This was by a margin of two . + S:UNKNOWN_SUBORDINATION This was to four-term incumbent Bobby Rush . + S:SPATIAL This was for Illinois 's 1st congressional district in House of Representatives . + L:ELABORATION 3ca394ae5c22480bb9b68ec4d0430f52 + +3ca394ae5c22480bb9b68ec4d0430f52 1 House of Representatives was the United States . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 150/527 # + +'In January 2003, Obama became chairman of the Illinois Senate's Health and Human Services Committee when Democrats, after a decade in the minority, regained a majority.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + ├────────s────────> 'This was in January 2003 .' + └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalMiddleFinalExtractor) + ├───s───> 'This was after a decade in the minority .' + └───n───> 'Obama became chairman of the Illinois Senate 's Health and Human Services Committee when Democrats regained a majority .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# In January 2003, Obama became chairman of the Illinois Senate's Health and Human Services Committee when Democrats, after a decade in the minority, regained a majority. + +b935052d84104d4b8dc0696138225849 0 Obama became chairman of the Illinois Senate 's Health and Human Services Committee when Democrats regained a majority . + S:UNKNOWN_SUBORDINATION This was after a decade in the minority . + S:TEMPORAL This was in January 2003 . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 151/527 # + +'He sponsored and led unanimous, bipartisan passage of legislation to monitor racial profiling by requiring police to record the race of drivers they detained, and legislation making Illinois the first state to mandate videotaping of homicide interrogations.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> CO/LIST ('and', SharedNPPostCoordinationExtractor) + ├────────n────────> SUB/PURPOSE (NULL, PurposePostExtractor) + | ├───n───> 'He sponsored the first state .' + | └───s───> 'This was to mandate videotaping of homicide interrogations .' + └───n───> CO/LIST (', and', CoordinationExtractor) + ├───n───> SUB/PURPOSE (NULL, PurposePostExtractor) + | ├───n───> 'He led unanimous , bipartisan passage of legislation .' + | └───s───> 'This was to monitor racial profiling by requiring police to record the race of drivers they detained .' + └────────n────────> 'Legislation making Illinois the first state to mandate videotaping of homicide interrogations .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# He sponsored and led unanimous, bipartisan passage of legislation to monitor racial profiling by requiring police to record the race of drivers they detained, and legislation making Illinois the first state to mandate videotaping of homicide interrogations. + +465d6a407dc3451b92ecd1aab2af770c 0 He sponsored the first state . + S:PURPOSE This was to mandate videotaping of homicide interrogations . + L:LIST 5c59b97cfa904c69be3466e9c3ac7b36 + L:LIST b87e8e68f8584ceb84953eaa90480c8c + +5c59b97cfa904c69be3466e9c3ac7b36 0 He led unanimous , bipartisan passage of legislation . + S:PURPOSE This was to monitor racial profiling by requiring police to record the race of drivers they detained . + L:LIST b87e8e68f8584ceb84953eaa90480c8c + L:LIST 465d6a407dc3451b92ecd1aab2af770c + +b87e8e68f8584ceb84953eaa90480c8c 0 Legislation making Illinois the first state to mandate videotaping of homicide interrogations . + L:LIST 5c59b97cfa904c69be3466e9c3ac7b36 + L:LIST 465d6a407dc3451b92ecd1aab2af770c + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 152/527 # + +'During his 2004 general election campaign for the U.S. Senate, police representatives credited Obama for his active engagement with police organizations in enacting death penalty reforms.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> CO/UNKNOWN_COORDINATION (NULL, SharedNPPostParticipalExtractor) + ├───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + | ├─────────────s─────────────> 'This was for his active engagement .' + | └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + | ├────────s────────> 'This was with police organizations .' + | └───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + | ├───s───> 'This was during his 2004 general election campaign for the U.S. Senate .' + | └───n───> 'Police representatives credited Obama .' + └─────────────n─────────────> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + ├───s───> 'This was during his 2004 general election campaign for the U.S. Senate .' + └───n───> 'Police representatives were enacting death penalty reforms .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# During his 2004 general election campaign for the U.S. Senate, police representatives credited Obama for his active engagement with police organizations in enacting death penalty reforms. + +4ceb0f8532f9476e9fe9d246610f8931 0 Police representatives credited Obama . + S:TEMPORAL This was during his 2004 general election campaign for the U.S. Senate . + S:UNKNOWN_SUBORDINATION This was with police organizations . + S:UNKNOWN_SUBORDINATION This was for his active engagement . + +f4f069dc879c4a0681f6f562719c498b 0 Police representatives were enacting death penalty reforms . + S:TEMPORAL This was during his 2004 general election campaign for the U.S. Senate . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 153/527 # + +'Obama resigned from the Illinois Senate in November 2004 following his election to the U.S. Senate.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) + ├───s───> 'This was in November 2004 .' + └───n───> 'Obama resigned from the Illinois Senate following his election to the U.S. Senate .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# Obama resigned from the Illinois Senate in November 2004 following his election to the U.S. Senate. + +5988ab9bdc0c41f3b46996eaf8a0218b 0 Obama resigned from the Illinois Senate following his election to the U.S. Senate . + S:TEMPORAL This was in November 2004 . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 154/527 # + +'County results of the 2004 U.S. Senate race in Illinois.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> 'County results of the 2004 U.S. Senate race in Illinois .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# County results of the 2004 U.S. Senate race in Illinois. + +b7a40064eb4d433caafcf34103ac22e6 0 County results of the 2004 U.S. Senate race in Illinois . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 155/527 # + +'Obama won the counties in blue.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + ├───s───> 'This was in blue .' + └───n───> 'Obama won the counties .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# Obama won the counties in blue. + +a666b815d4b34e19b259fb9e0f98ef1f 0 Obama won the counties . + S:UNKNOWN_SUBORDINATION This was in blue . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 156/527 # + +'In May 2002, Obama commissioned a poll to assess his prospects in a 2004 U.S. Senate race.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + ├───s───> 'This was in May 2002 .' + └───n───> 'Obama commissioned a poll to assess his prospects in a 2004 U.S. Senate race .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# In May 2002, Obama commissioned a poll to assess his prospects in a 2004 U.S. Senate race. + +9ce5170697b547a0a1e1031d977d57a5 0 Obama commissioned a poll to assess his prospects in a 2004 U.S. Senate race . + S:TEMPORAL This was in May 2002 . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 157/527 # + +'He created a campaign committee, began raising funds, and lined up political media consultant David Axelrod by August 2002.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) + ├────────s────────> 'David Axelrod was political media consultant .' + └───n───> CO/UNKNOWN_COORDINATION (NULL, SharedNPPostCoordinationExtractor) + ├───n───> 'He created a campaign committee .' + ├───n───> 'He began raising funds .' + └───n───> 'He lined up David Axelrod by August 2002 .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# He created a campaign committee, began raising funds, and lined up political media consultant David Axelrod by August 2002. + +2f4f61d811cf461a8c96859412cd2ca1 0 He created a campaign committee . + L:ELABORATION 02a93ae91ca449c588208a3631589a84 + +fd2da8b36f814bad93f9507abfafef84 0 He began raising funds . + L:ELABORATION 02a93ae91ca449c588208a3631589a84 + +7e804b3240e544049a0aae6ed0cc2690 0 He lined up David Axelrod by August 2002 . + L:ELABORATION 02a93ae91ca449c588208a3631589a84 + +02a93ae91ca449c588208a3631589a84 1 David Axelrod was political media consultant . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 158/527 # + +'Obama formally announced his candidacy in January 2003.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) + ├───s───> 'This was in January 2003 .' + └───n───> 'Obama formally announced his candidacy .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# Obama formally announced his candidacy in January 2003. + +1395913480034bf494ef26048a79ee0a 0 Obama formally announced his candidacy . + S:TEMPORAL This was in January 2003 . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 159/527 # + +'Obama was an early opponent of the George W. Bush administration's 2003 invasion of Iraq.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> 'Obama was an early opponent of the George W. Bush administration 's 2003 invasion of Iraq .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# Obama was an early opponent of the George W. Bush administration's 2003 invasion of Iraq. + +0ebfaaab6ea343beb56f798383741b85 0 Obama was an early opponent of the George W. Bush administration 's 2003 invasion of Iraq . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 160/527 # + +'On October 2, 2002, the day President Bush and Congress agreed on the joint resolution authorizing the Iraq War, Obama addressed the first high-profile Chicago anti-Iraq War rally, and spoke out against the war.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) + ├───────────────────────s───────────────────────> 'Bush was the day President .' + └───n───> CO/LIST (', and', SharedNPPostCoordinationExtractor) + ├─────────────n─────────────> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + | ├───s───> 'This was on October 2 , 2002 .' + | └───n───> 'Bush and Congress agreed on the joint resolution authorizing the Iraq War , Obama addressed the first high-profile Chicago anti-Iraq War rally .' + └───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + ├─────────────s─────────────> 'This was on October 2 , 2002 .' + └───n───> SUB/ATTRIBUTION (NULL, PreAttributionExtractor) + ├───n───> CO/UNKNOWN_COORDINATION (NULL, SharedNPPostParticipalExtractor) + | ├───n───> 'Bush and Congress agreed on the joint resolution .' + | └───n───> 'Bush and Congress were authorizing the Iraq War .' + └────────s────────> 'This was what Obama spoke out against the war .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# On October 2, 2002, the day President Bush and Congress agreed on the joint resolution authorizing the Iraq War, Obama addressed the first high-profile Chicago anti-Iraq War rally, and spoke out against the war. + +9d6cbe72a4444a55b60b436e923bb58d 0 Bush and Congress agreed on the joint resolution authorizing the Iraq War , Obama addressed the first high-profile Chicago anti-Iraq War rally . + S:TEMPORAL This was on October 2 , 2002 . + L:LIST 4ae439c3066d40cba5741de8ac961169 + L:LIST 9c77ef325f1f43fe9b3a77a9fbf0b47f + L:ELABORATION 9e17a54d18c4479f8077cb1abbe0dade + +4ae439c3066d40cba5741de8ac961169 0 Bush and Congress agreed on the joint resolution . + S:ATTRIBUTION This was what Obama spoke out against the war . + S:TEMPORAL This was on October 2 , 2002 . + L:LIST 9d6cbe72a4444a55b60b436e923bb58d + L:ELABORATION 9e17a54d18c4479f8077cb1abbe0dade + +9c77ef325f1f43fe9b3a77a9fbf0b47f 0 Bush and Congress were authorizing the Iraq War . + S:ATTRIBUTION This was what Obama spoke out against the war . + S:TEMPORAL This was on October 2 , 2002 . + L:LIST 9d6cbe72a4444a55b60b436e923bb58d + L:ELABORATION 9e17a54d18c4479f8077cb1abbe0dade + +9e17a54d18c4479f8077cb1abbe0dade 1 Bush was the day President . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 161/527 # + +'He addressed another anti-war rally in March 2003 and told the crowd that it's not too late to stop the war.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> CO/LIST ('and', SharedNPPostCoordinationExtractor) + ├───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) + | ├───s───> 'This was in March 2003 .' + | └───n───> 'He addressed another anti-war rally .' + └───n───> SUB/ATTRIBUTION (NULL, SubordinationPostAttributionExtractor2) + ├───s───> 'This was what he told the crowd .' + └───n───> 'It 's not too late to stop the war .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# He addressed another anti-war rally in March 2003 and told the crowd that it's not too late to stop the war. + +782b3bc27e414ec4b788f12cda2077ab 0 He addressed another anti-war rally . + S:TEMPORAL This was in March 2003 . + L:LIST 003fe3e2c6a84ec3ac2afbfbf24fcd96 + +003fe3e2c6a84ec3ac2afbfbf24fcd96 0 It 's not too late to stop the war . + S:ATTRIBUTION This was what he told the crowd . + L:LIST 782b3bc27e414ec4b788f12cda2077ab + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 162/527 # + +'Decisions by Republican incumbent Peter Fitzgerald and his Democratic predecessor Carol Moseley Braun to not participate in the election resulted in wide-open Democratic and Republican primary contests involving fifteen candidates.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) + ├───s───> CO/LIST (NULL, PostListNPExtractor) + | ├───n───> 'Carol Moseley Braun was Republican incumbent Peter Fitzgerald .' + | └───n───> 'Carol Moseley Braun was his Democratic predecessor .' + └───n───> CO/UNKNOWN_COORDINATION (NULL, SharedNPPostParticipalExtractor) + ├───n───> 'Decisions by Carol Moseley Braun to not participate in the election resulted in wide-open Democratic and Republican primary contests .' + └───n───> 'Decisions by Carol Moseley Braun to not participate in the election were involving fifteen candidates .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# Decisions by Republican incumbent Peter Fitzgerald and his Democratic predecessor Carol Moseley Braun to not participate in the election resulted in wide-open Democratic and Republican primary contests involving fifteen candidates. + +bdefaceaea364e40b9bf9c96d2b6d0b0 0 Decisions by Carol Moseley Braun to not participate in the election resulted in wide-open Democratic and Republican primary contests . + L:ELABORATION 3c2bd0330b1441c39b35f4abcf5d7661 + L:ELABORATION 2bb08c3bb4ac4e7f8cc83ae66acad7ef + +499866dbe73b4581ad41509f10bd64cf 0 Decisions by Carol Moseley Braun to not participate in the election were involving fifteen candidates . + L:ELABORATION 3c2bd0330b1441c39b35f4abcf5d7661 + L:ELABORATION 2bb08c3bb4ac4e7f8cc83ae66acad7ef + +3c2bd0330b1441c39b35f4abcf5d7661 1 Carol Moseley Braun was Republican incumbent Peter Fitzgerald . + L:LIST 2bb08c3bb4ac4e7f8cc83ae66acad7ef + +2bb08c3bb4ac4e7f8cc83ae66acad7ef 1 Carol Moseley Braun was his Democratic predecessor . + L:LIST 3c2bd0330b1441c39b35f4abcf5d7661 + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 163/527 # + +'In the March 2004 primary election, Obama won in an unexpected landslide—which overnight made him a rising star within the national Democratic Party, started speculation about a presidential future, and led to the reissue of his memoir, Dreams from My Father.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/ELABORATION (NULL, NonRestrictiveAppositionExtractor) + ├──────────────────s──────────────────> 'His memoir was Dreams .' + └───n───> CO/UNKNOWN_COORDINATION (NULL, SharedNPPostCoordinationExtractor) + ├───n───> SUB/IDENTIFYING_DEFINITION ('which', RestrictiveRelativeClauseWhoWhichExtractor) + | ├───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + | | ├───s───> 'This was in the March 2004 primary election .' + | | └───n───> 'Obama won in an unexpected landslide -- .' + | └────────s────────> 'An unexpected landslide -- overnight made him a rising star within the national Democratic Party .' + ├───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + | ├────────s────────> 'This was about a presidential future .' + | └───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + | ├───s───> 'This was in the March 2004 primary election .' + | └───n───> 'Obama started speculation .' + └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + ├────────s────────> 'This was from My Father .' + └───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + ├───s───> 'This was in the March 2004 primary election .' + └───n───> 'Obama led to the reissue of his memoir .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# In the March 2004 primary election, Obama won in an unexpected landslide—which overnight made him a rising star within the national Democratic Party, started speculation about a presidential future, and led to the reissue of his memoir, Dreams from My Father. + +aaade82f32d9461292ba280b1ad0da6f 0 Obama won in an unexpected landslide -- . + S:TEMPORAL This was in the March 2004 primary election . + L:IDENTIFYING_DEFINITION e9b588a9479d49c18ceadda0547d956b + L:ELABORATION 441a6dfcba94420d91b386cd6f3dcdcf + +e9b588a9479d49c18ceadda0547d956b 1 An unexpected landslide -- overnight made him a rising star within the national Democratic Party . + +dbae27766cc14f489e31cb6646ff000d 0 Obama started speculation . + S:TEMPORAL This was in the March 2004 primary election . + S:UNKNOWN_SUBORDINATION This was about a presidential future . + L:ELABORATION 441a6dfcba94420d91b386cd6f3dcdcf + +e0155e2ee69742bb84f5c752b9f7879c 0 Obama led to the reissue of his memoir . + S:TEMPORAL This was in the March 2004 primary election . + S:UNKNOWN_SUBORDINATION This was from My Father . + L:ELABORATION 441a6dfcba94420d91b386cd6f3dcdcf + +441a6dfcba94420d91b386cd6f3dcdcf 1 His memoir was Dreams . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 164/527 # + +'In July 2004, Obama delivered the keynote address at the 2004 Democratic National Convention, seen by 9.1 million viewers.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/UNKNOWN_SUBORDINATION ('', ParticipialMiddleExtractor) + ├───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) + | ├────────s────────> 'This was at the 2004 Democratic National Convention .' + | └───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + | ├───s───> 'This was in July 2004 .' + | └───n───> 'Obama delivered the keynote address .' + └─────────────s─────────────> 'The 2004 Democratic National Convention was seen by 9.1 million viewers .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# In July 2004, Obama delivered the keynote address at the 2004 Democratic National Convention, seen by 9.1 million viewers. + +e70c4a0ddb3544de8fcdaa9c5c147960 0 Obama delivered the keynote address . + S:TEMPORAL This was in July 2004 . + S:TEMPORAL This was at the 2004 Democratic National Convention . + L:UNKNOWN_SUBORDINATION 4dace5c566364f4d8bb057e224a749d3 + +4dace5c566364f4d8bb057e224a749d3 1 The 2004 Democratic National Convention was seen by 9.1 million viewers . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 165/527 # + +'His speech was well received and elevated his status within the Democratic Party.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> CO/LIST ('and', SharedNPPostCoordinationExtractor) + ├────────n────────> 'His speech was well received .' + └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + ├───s───> 'This was within the Democratic Party .' + └───n───> 'His speech elevated his status .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# His speech was well received and elevated his status within the Democratic Party. + +ffc415e91a9b4efc970605964ff5edb8 0 His speech was well received . + L:LIST d76c27e90e5546f08b1098e8858ad55d + +d76c27e90e5546f08b1098e8858ad55d 0 His speech elevated his status . + S:UNKNOWN_SUBORDINATION This was within the Democratic Party . + L:LIST ffc415e91a9b4efc970605964ff5edb8 + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 166/527 # + +'Obama's expected opponent in the general election, Republican primary winner Jack Ryan, withdrew from the race in June 2004.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) + ├─────────────s─────────────> 'Jack Ryan was Republican primary winner .' + └───n───> SUB/ELABORATION (NULL, NonRestrictiveAppositionExtractor) + ├────────s────────> 'Jack Ryan was the general election .' + └───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) + ├───s───> 'This was in June 2004 .' + └───n───> 'Obama 's expected opponent in the general election withdrew from the race .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# Obama's expected opponent in the general election, Republican primary winner Jack Ryan, withdrew from the race in June 2004. + +3502224d72134994b4668a7a6408532a 0 Obama 's expected opponent in the general election withdrew from the race . + S:TEMPORAL This was in June 2004 . + L:ELABORATION cfa57630986a4da28b92bb27f9f4223e + L:ELABORATION af9658f97d524ea5932d716ce73e989b + +cfa57630986a4da28b92bb27f9f4223e 1 Jack Ryan was the general election . + +af9658f97d524ea5932d716ce73e989b 1 Jack Ryan was Republican primary winner . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 167/527 # + +'Six weeks later, Alan Keyes accepted the Republican nomination to replace Ryan.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/PURPOSE (NULL, PurposePostExtractor) + ├───n───> 'Six weeks later , Alan Keyes accepted the Republican nomination .' + └───s───> 'This was to replace Ryan .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# Six weeks later, Alan Keyes accepted the Republican nomination to replace Ryan. + +7b090abcc72a4deaaf58bec7c4e75703 0 Six weeks later , Alan Keyes accepted the Republican nomination . + S:PURPOSE This was to replace Ryan . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 168/527 # + +'In the November 2004 general election, Obama won with 70% of the vote.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + ├───s───> 'This was in the November 2004 general election .' + └───n───> 'Obama won with 70 % of the vote .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# In the November 2004 general election, Obama won with 70% of the vote. + +75142dadd0b94b268cd596ccdc8c3bc5 0 Obama won with 70 % of the vote . + S:TEMPORAL This was in the November 2004 general election . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 169/527 # + +'Obama was sworn in as a senator on January 3, 2005, becoming the only Senate member of the Congressional Black Caucus.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> 'Obama was sworn in as a senator on January 3 , 2005 , becoming the only Senate member of the Congressional Black Caucus .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# Obama was sworn in as a senator on January 3, 2005, becoming the only Senate member of the Congressional Black Caucus. + +672cee4de00a405ab0b52add2d3427d8 0 Obama was sworn in as a senator on January 3 , 2005 , becoming the only Senate member of the Congressional Black Caucus . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 170/527 # + +'CQ Weekly characterized him as a loyal Democrat based on analysis of all Senate votes from 2005 to 2007.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) + ├───s───> SUB/IDENTIFYING_DEFINITION ('', RestrictiveParticipialExtractor) + | ├────────n────────> 'This was as a loyal Democrat .' + | └───s───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) + | ├───s───> 'This was from 2005 to 2007 .' + | └───n───> 'A loyal Democrat was based on analysis of all Senate votes .' + └─────────────n─────────────> 'CQ Weekly characterized him .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# CQ Weekly characterized him as a loyal Democrat based on analysis of all Senate votes from 2005 to 2007. + +d5f74de6840e4a93975d5da1caf73cc4 0 CQ Weekly characterized him . + L:TEMPORAL a3f67db40b9e416db9c69dab73bfbac9 + +a3f67db40b9e416db9c69dab73bfbac9 1 This was as a loyal Democrat . + L:IDENTIFYING_DEFINITION 610541c59d584a89a9bac4bf079bbbfe + +610541c59d584a89a9bac4bf079bbbfe 2 A loyal Democrat was based on analysis of all Senate votes . + S:TEMPORAL This was from 2005 to 2007 . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 171/527 # + +'Obama announced on November 13, 2008, that he would resign his Senate seat on November 16, 2008, before the start of the lame-duck session, to focus on his transition period for the presidency.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/PURPOSE (NULL, PurposePostExtractor) + ├───n───> SUB/ATTRIBUTION (NULL, SubordinationPostAttributionExtractor2) + | ├─────────────s─────────────> 'This was what Obama announced on November 13 , 2008 .' + | └───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) + | ├────────s────────> 'This is on November 16 , 2008 .' + | └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + | ├───s───> 'This is before the start of the lame-duck session .' + | └───n───> 'He would resign his Senate seat .' + └──────────────────s──────────────────> 'This was to focus on his transition period for the presidency .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# Obama announced on November 13, 2008, that he would resign his Senate seat on November 16, 2008, before the start of the lame-duck session, to focus on his transition period for the presidency. + +a2904d9fa5e6499d98c581d7295cdd7e 0 He would resign his Senate seat . + S:UNKNOWN_SUBORDINATION This is before the start of the lame-duck session . + S:TEMPORAL This is on November 16 , 2008 . + S:ATTRIBUTION This was what Obama announced on November 13 , 2008 . + S:PURPOSE This was to focus on his transition period for the presidency . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 172/527 # + +'A photo has emerged of then-Senator Obama standing with controversial Nation of Islam leader Louis Farrakhan during a 2005 Congressional Black Caucus meeting on Capitol Hill.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) + ├─────────────s─────────────> 'Louis Farrakhan was Islam leader .' + └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + ├────────s────────> 'This was with controversial Nation of Louis Farrakhan .' + └───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) + ├───s───> 'This was during a 2005 Congressional Black Caucus meeting on Capitol Hill .' + └───n───> 'A photo has emerged of then-Senator Obama standing .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# A photo has emerged of then-Senator Obama standing with controversial Nation of Islam leader Louis Farrakhan during a 2005 Congressional Black Caucus meeting on Capitol Hill. + +6a45e5daacc84ff39ef41f9e409d40a5 0 A photo has emerged of then-Senator Obama standing . + S:SPATIAL This was during a 2005 Congressional Black Caucus meeting on Capitol Hill . + S:UNKNOWN_SUBORDINATION This was with controversial Nation of Louis Farrakhan . + L:ELABORATION debbd9ca8e644a10bcd161ff3b234db7 + +debbd9ca8e644a10bcd161ff3b234db7 1 Louis Farrakhan was Islam leader . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 173/527 # + +'In 2008, Farrakhan endorsed Obama's candidacy for President.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + ├────────s────────> 'This was for President .' + └───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + ├───s───> 'This was in 2008 .' + └───n───> 'Farrakhan endorsed Obama 's candidacy .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# In 2008, Farrakhan endorsed Obama's candidacy for President. + +8e967b250e51485496235494ef42228c 0 Farrakhan endorsed Obama 's candidacy . + S:TEMPORAL This was in 2008 . + S:UNKNOWN_SUBORDINATION This was for President . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 174/527 # + +'Obama cosponsored the Secure America and Orderly Immigration Act.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) + ├────────s────────> 'America was the Secure .' + └───n───> CO/LIST (NULL, PostListNPExtractor) + ├───n───> 'Obama cosponsored America .' + └───n───> 'Obama cosponsored Orderly Immigration Act .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# Obama cosponsored the Secure America and Orderly Immigration Act. + +ab49e896eb7241cc80c01ef1582be6e8 0 Obama cosponsored America . + L:LIST 6fb720f076ab447588c573a727066c99 + L:ELABORATION 3940ef437e3f4a4bbceaba7517e0b3a9 + +6fb720f076ab447588c573a727066c99 0 Obama cosponsored Orderly Immigration Act . + L:LIST ab49e896eb7241cc80c01ef1582be6e8 + L:ELABORATION 3940ef437e3f4a4bbceaba7517e0b3a9 + +3940ef437e3f4a4bbceaba7517e0b3a9 1 America was the Secure . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 175/527 # + +'He introduced two initiatives that bore his name: Lugar–Obama, which expanded the Nunn–Lugar Cooperative Threat Reduction concept to conventional weapons; and the Federal Funding Accountability and Transparency Act of 2006, which authorized the establishment of USAspending.gov, a web search engine on federal spending.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/DESCRIBING_DEFINITION ('which', NonRestrictiveRelativeClauseWhoWhichExtractor) + ├───n───> SUB/DESCRIBING_DEFINITION ('which', NonRestrictiveRelativeClauseWhoWhichExtractor) + | ├────────n────────> SUB/IDENTIFYING_DEFINITION ('that', RestrictiveRelativeClauseWhoWhichExtractor) + | | ├───n───> 'He introduced two initiatives .' + | | └───s───> 'Two initiatives bore his name : Lugar -- Obama -- Lugar Cooperative Threat Reduction concept to conventional weapons ; and the Federal Funding Accountability and Transparency Act of 2006 .' + | └───s───> SUB/ELABORATION (NULL, NonRestrictiveAppositionExtractor) + | ├────────s────────> 'USAspending.gov was a web search engine .' + | └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + | ├───s───> 'This was on federal spending .' + | └───n───> '2006 authorized the establishment of USAspending.gov .' + └──────────────────s──────────────────> 'Obama expanded the Nunn .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# He introduced two initiatives that bore his name: Lugar–Obama, which expanded the Nunn–Lugar Cooperative Threat Reduction concept to conventional weapons; and the Federal Funding Accountability and Transparency Act of 2006, which authorized the establishment of USAspending.gov, a web search engine on federal spending. + +b5b8ab9c53dc44a094d1751addc28942 0 He introduced two initiatives . + L:IDENTIFYING_DEFINITION f222e7c5f1bb46e98b81e3b315135915 + L:DESCRIBING_DEFINITION 4bf46edf356246e384212b54e1ded115 + L:DESCRIBING_DEFINITION 97a0f3c89eac496ebf74b23f5cc661af + +f222e7c5f1bb46e98b81e3b315135915 1 Two initiatives bore his name : Lugar -- Obama -- Lugar Cooperative Threat Reduction concept to conventional weapons ; and the Federal Funding Accountability and Transparency Act of 2006 . + +4bf46edf356246e384212b54e1ded115 1 2006 authorized the establishment of USAspending.gov . + S:UNKNOWN_SUBORDINATION This was on federal spending . + L:ELABORATION 294319d76c6d4b11a3c6f7447301a6f0 + +294319d76c6d4b11a3c6f7447301a6f0 2 USAspending.gov was a web search engine . + +97a0f3c89eac496ebf74b23f5cc661af 1 Obama expanded the Nunn . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 176/527 # + +'On June 3, 2008, Senator Obama—along with Senators Tom Carper, Tom Coburn, and John McCain—introduced follow-up legislation: Strengthening Transparency and Accountability in Federal Spending Act of 2008.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) + ├───────────────────────s───────────────────────> 'Obama was Senator .' + └───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) + ├──────────────────s──────────────────> 'Tom Carper was Senators .' + └───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) + ├─────────────s─────────────> 'This was in Federal Spending Act of 2008 .' + └───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + ├────────s────────> 'This was on June 3 , 2008 .' + └───n───> CO/LIST (NULL, PostListNPExtractor) + ├───n───> 'Obama -- along with Tom Carper , Tom Coburn , and John McCain -- introduced follow-up legislation .' + ├───n───> 'Obama -- along with Tom Carper , Tom Coburn , and John McCain -- introduced Strengthening Transparency .' + └───n───> 'Obama -- along with Tom Carper , Tom Coburn , and John McCain -- introduced Accountability .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# On June 3, 2008, Senator Obama—along with Senators Tom Carper, Tom Coburn, and John McCain—introduced follow-up legislation: Strengthening Transparency and Accountability in Federal Spending Act of 2008. + +cfce6f491b0c4fe8ab70c50921b3d70c 0 Obama -- along with Tom Carper , Tom Coburn , and John McCain -- introduced follow-up legislation . + S:TEMPORAL This was on June 3 , 2008 . + S:TEMPORAL This was in Federal Spending Act of 2008 . + L:LIST 392d36095c0840b498ed97efd6dded78 + L:LIST 349c9dde3fa5468d8e58996e10a90a08 + L:ELABORATION 409c2cae0e3a419da5842f13e957864d + L:ELABORATION 0a0eb766e34340c188cc04c1e64f382f + +392d36095c0840b498ed97efd6dded78 0 Obama -- along with Tom Carper , Tom Coburn , and John McCain -- introduced Strengthening Transparency . + S:TEMPORAL This was on June 3 , 2008 . + S:TEMPORAL This was in Federal Spending Act of 2008 . + L:LIST 349c9dde3fa5468d8e58996e10a90a08 + L:LIST cfce6f491b0c4fe8ab70c50921b3d70c + L:ELABORATION 409c2cae0e3a419da5842f13e957864d + L:ELABORATION 0a0eb766e34340c188cc04c1e64f382f + +349c9dde3fa5468d8e58996e10a90a08 0 Obama -- along with Tom Carper , Tom Coburn , and John McCain -- introduced Accountability . + S:TEMPORAL This was on June 3 , 2008 . + S:TEMPORAL This was in Federal Spending Act of 2008 . + L:LIST cfce6f491b0c4fe8ab70c50921b3d70c + L:LIST 392d36095c0840b498ed97efd6dded78 + L:ELABORATION 409c2cae0e3a419da5842f13e957864d + L:ELABORATION 0a0eb766e34340c188cc04c1e64f382f + +409c2cae0e3a419da5842f13e957864d 1 Tom Carper was Senators . + +0a0eb766e34340c188cc04c1e64f382f 1 Obama was Senator . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 177/527 # + +'Obama sponsored legislation that would have required nuclear plant owners to notify state and local authorities of radioactive leaks, but the bill failed to pass in the full Senate after being heavily modified in committee.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> CO/CONTRAST (', but', CoordinationExtractor) + ├───n───> SUB/IDENTIFYING_DEFINITION ('that', RestrictiveRelativeClauseWhoWhichExtractor) + | ├────────n────────> 'Obama sponsored legislation .' + | └───s───> SUB/PURPOSE (NULL, PurposePostExtractor) + | ├───n───> 'Legislation would have required nuclear plant owners .' + | └───s───> 'This was to notify state and local authorities of radioactive leaks .' + └────────n────────> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + ├───s───> 'This was after being heavily modified in committee .' + └───n───> 'The bill failed to pass in the full Senate .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# Obama sponsored legislation that would have required nuclear plant owners to notify state and local authorities of radioactive leaks, but the bill failed to pass in the full Senate after being heavily modified in committee. + +00043596d242458fbdf697a0fca96ce1 0 Obama sponsored legislation . + L:IDENTIFYING_DEFINITION 8bc52ef22a934859b5177fe51f85537d + L:CONTRAST 8c481bba937f432a82c17edf08915c69 + +8bc52ef22a934859b5177fe51f85537d 1 Legislation would have required nuclear plant owners . + S:PURPOSE This was to notify state and local authorities of radioactive leaks . + +8c481bba937f432a82c17edf08915c69 0 The bill failed to pass in the full Senate . + S:UNKNOWN_SUBORDINATION This was after being heavily modified in committee . + L:CONTRAST 00043596d242458fbdf697a0fca96ce1 + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 178/527 # + +'Regarding tort reform, Obama voted for the Class Action Fairness Act of 2005 and the FISA Amendments Act of 2008, which grants immunity from civil liability to telecommunications companies complicit with NSA warrantless wiretapping operations.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/DESCRIBING_DEFINITION ('which', NonRestrictiveRelativeClauseWhoWhichExtractor) + ├───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalInitialExtractor) + | ├────────s────────> 'This was regarding tort reform .' + | └───n───> CO/LIST (NULL, PostListNPExtractor) + | ├───n───> 'Obama voted for the Class Action Fairness Act of 2005 .' + | └───n───> 'Obama voted for the FISA Amendments Act of 2008 .' + └────────s────────> SUB/IDENTIFYING_DEFINITION ('', RestrictiveParticipialExtractor) + ├───n───> '2008 grants immunity from civil liability to telecommunications companies warrantless wiretapping operations .' + └───s───> 'Telecommunications companies are complicit with NSA .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# Regarding tort reform, Obama voted for the Class Action Fairness Act of 2005 and the FISA Amendments Act of 2008, which grants immunity from civil liability to telecommunications companies complicit with NSA warrantless wiretapping operations. + +cb82f06800e042a2ac4aae1269e6c8c8 0 Obama voted for the Class Action Fairness Act of 2005 . + S:UNKNOWN_SUBORDINATION This was regarding tort reform . + L:LIST 30b1f564f81e44df9e3cff53c6c3a0fe + L:DESCRIBING_DEFINITION ecf0027345af41b8b81398267274cf66 + +30b1f564f81e44df9e3cff53c6c3a0fe 0 Obama voted for the FISA Amendments Act of 2008 . + S:UNKNOWN_SUBORDINATION This was regarding tort reform . + L:LIST cb82f06800e042a2ac4aae1269e6c8c8 + L:DESCRIBING_DEFINITION ecf0027345af41b8b81398267274cf66 + +ecf0027345af41b8b81398267274cf66 1 2008 grants immunity from civil liability to telecommunications companies warrantless wiretapping operations . + L:IDENTIFYING_DEFINITION 26e88d5fb26645eab8f1ca2888b26a41 + +26e88d5fb26645eab8f1ca2888b26a41 2 Telecommunications companies are complicit with NSA . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 179/527 # + +'Gray-haired man and Obama stand, wearing casual polo shirts.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> CO/LIST (NULL, PreListNPExtractor) + ├───n───> 'Gray-haired man stand , wearing casual polo shirts .' + └───n───> 'Obama stand , wearing casual polo shirts .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# Gray-haired man and Obama stand, wearing casual polo shirts. + +07d9d5028d174d4ebb742579c10340b5 0 Gray-haired man stand , wearing casual polo shirts . + L:LIST 463dfdc2952b49d5a4b118d9e3314602 + +463dfdc2952b49d5a4b118d9e3314602 0 Obama stand , wearing casual polo shirts . + L:LIST 07d9d5028d174d4ebb742579c10340b5 + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 180/527 # + +'Obama wears sunglasses and holds something slung over his right shoulder.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> CO/LIST ('and', SharedNPPostCoordinationExtractor) + ├────────n────────> 'Obama wears sunglasses .' + └───n───> SUB/IDENTIFYING_DEFINITION ('', RestrictiveParticipialExtractor) + ├───n───> 'Obama holds something .' + └───s───> 'Something is slung over his right shoulder .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# Obama wears sunglasses and holds something slung over his right shoulder. + +cb2b7191a9234522ad5471c3b2f0274d 0 Obama wears sunglasses . + L:LIST 74bc0f026bb94d6eb87c5dea43743155 + +74bc0f026bb94d6eb87c5dea43743155 0 Obama holds something . + L:IDENTIFYING_DEFINITION ecdee1e3acff40b8907a119b626a6054 + L:LIST cb2b7191a9234522ad5471c3b2f0274d + +ecdee1e3acff40b8907a119b626a6054 1 Something is slung over his right shoulder . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 181/527 # + +'Obama and U.S. Senator Richard Lugar (R-IN) visit a Russian facility for dismantling mobile missiles (August 2005)' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) + ├───s───> 'Richard Lugar is U.S. Senator .' + └───n───> 'Obama and Richard Lugar -LRB- R-IN -RRB- visit a Russian facility for dismantling mobile missiles -LRB- August 2005 -RRB-' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# Obama and U.S. Senator Richard Lugar (R-IN) visit a Russian facility for dismantling mobile missiles (August 2005) + +3adedae4a86d46c5832e8ea55a282190 0 Obama and Richard Lugar -LRB- R-IN -RRB- visit a Russian facility for dismantling mobile missiles -LRB- August 2005 -RRB- + L:ELABORATION b186327bf158447e8d1795a0dc3ed6da + +b186327bf158447e8d1795a0dc3ed6da 1 Richard Lugar is U.S. Senator . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 182/527 # + +'In December 2006, President Bush signed into law the Democratic Republic of the Congo Relief, Security, and Democracy Promotion Act, marking the first federal legislation to be enacted with Obama as its primary sponsor.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) + ├──────────────────s──────────────────> 'Bush was President .' + └───n───> SUB/UNKNOWN_SUBORDINATION ('', ParticipialMiddleExtractor) + ├───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + | ├────────s────────> 'This was in December 2006 .' + | └───n───> CO/LIST (NULL, PostListNPExtractor) + | ├───n───> 'Bush signed into law the Democratic Republic of the Congo Relief .' + | ├───n───> 'Bush signed into law the Democratic Republic of Security .' + | └───n───> 'Bush signed into law the Democratic Republic of Democracy Promotion Act .' + └────────s────────> SUB/PURPOSE (NULL, PurposePostExtractor) + ├───n───> 'The Democratic Republic of the Congo Relief , Security , and Democracy Promotion Act was marking the first federal legislation .' + └───s───> 'This was to be enacted with Obama as its primary sponsor .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# In December 2006, President Bush signed into law the Democratic Republic of the Congo Relief, Security, and Democracy Promotion Act, marking the first federal legislation to be enacted with Obama as its primary sponsor. + +18bde22dc1ee4b65bb13efd491ba6f9d 0 Bush signed into law the Democratic Republic of the Congo Relief . + S:TEMPORAL This was in December 2006 . + L:LIST e850d0b68e774bb5946540642ff94acc + L:LIST 8d96ad60b11245c3a9bff660f4b78d0c + L:UNKNOWN_SUBORDINATION dfbdc822122140d0a9e6bc6a6a7cc078 + L:ELABORATION 7dd247eb88564299ae72c654f131b780 + +e850d0b68e774bb5946540642ff94acc 0 Bush signed into law the Democratic Republic of Security . + S:TEMPORAL This was in December 2006 . + L:LIST 8d96ad60b11245c3a9bff660f4b78d0c + L:LIST 18bde22dc1ee4b65bb13efd491ba6f9d + L:UNKNOWN_SUBORDINATION dfbdc822122140d0a9e6bc6a6a7cc078 + L:ELABORATION 7dd247eb88564299ae72c654f131b780 + +8d96ad60b11245c3a9bff660f4b78d0c 0 Bush signed into law the Democratic Republic of Democracy Promotion Act . + S:TEMPORAL This was in December 2006 . + L:LIST 18bde22dc1ee4b65bb13efd491ba6f9d + L:LIST e850d0b68e774bb5946540642ff94acc + L:UNKNOWN_SUBORDINATION dfbdc822122140d0a9e6bc6a6a7cc078 + L:ELABORATION 7dd247eb88564299ae72c654f131b780 + +dfbdc822122140d0a9e6bc6a6a7cc078 1 The Democratic Republic of the Congo Relief , Security , and Democracy Promotion Act was marking the first federal legislation . + S:PURPOSE This was to be enacted with Obama as its primary sponsor . + +7dd247eb88564299ae72c654f131b780 1 Bush was President . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 183/527 # + +'In January 2007, Obama and Senator Feingold introduced a corporate jet provision to the Honest Leadership and Open Government Act, which was signed into law in September 2007.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/DESCRIBING_DEFINITION ('which', NonRestrictiveRelativeClauseWhoWhichExtractor) + ├───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) + | ├─────────────s─────────────> 'Feingold was Obama and Senator .' + | └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + | ├────────s────────> 'This was to the Honest Leadership and Open Government Act .' + | └───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + | ├───s───> 'This was in January 2007 .' + | └───n───> 'Feingold introduced a corporate jet provision .' + └──────────────────s──────────────────> 'The Honest Leadership and Open Government Act was signed into law in September 2007 .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# In January 2007, Obama and Senator Feingold introduced a corporate jet provision to the Honest Leadership and Open Government Act, which was signed into law in September 2007. + +fbc745819ddd4deb805c06220b19c166 0 Feingold introduced a corporate jet provision . + S:TEMPORAL This was in January 2007 . + S:UNKNOWN_SUBORDINATION This was to the Honest Leadership and Open Government Act . + L:ELABORATION 06124eb9bc8746408ebb2c50719acdb6 + L:DESCRIBING_DEFINITION 098adb363ddb45b6b3f5f45f49d4e1e2 + +06124eb9bc8746408ebb2c50719acdb6 1 Feingold was Obama and Senator . + +098adb363ddb45b6b3f5f45f49d4e1e2 1 The Honest Leadership and Open Government Act was signed into law in September 2007 . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 184/527 # + +'Obama also introduced two unsuccessful bills: the Deceptive Practices and Voter Intimidation Prevention Act to criminalize deceptive practices in federal elections, and the Iraq War De-Escalation Act of 2007.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/PURPOSE (NULL, PurposePostExtractor) + ├───n───> 'Obama also introduced two unsuccessful bills : the Deceptive Practices and Voter Intimidation Prevention Act .' + └───s───> 'This was to criminalize deceptive practices in federal elections , and the Iraq War De-Escalation Act of 2007 .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# Obama also introduced two unsuccessful bills: the Deceptive Practices and Voter Intimidation Prevention Act to criminalize deceptive practices in federal elections, and the Iraq War De-Escalation Act of 2007. + +ace0c4343223466ba8c1406cc890d384 0 Obama also introduced two unsuccessful bills : the Deceptive Practices and Voter Intimidation Prevention Act . + S:PURPOSE This was to criminalize deceptive practices in federal elections , and the Iraq War De-Escalation Act of 2007 . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 185/527 # + +'Later in 2007, Obama sponsored an amendment to the Defense Authorization Act to add safeguards for personality-disorder military discharges.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/PURPOSE (NULL, PurposePostExtractor) + ├───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + | ├────────s────────> 'This was to the Defense Authorization Act .' + | └───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + | ├───s───> 'This was later in 2007 .' + | └───n───> 'Obama sponsored an amendment .' + └─────────────s─────────────> 'This was to add safeguards for personality-disorder military discharges .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# Later in 2007, Obama sponsored an amendment to the Defense Authorization Act to add safeguards for personality-disorder military discharges. + +f03dfff7e45e49bca53be3a30664a99c 0 Obama sponsored an amendment . + S:TEMPORAL This was later in 2007 . + S:UNKNOWN_SUBORDINATION This was to the Defense Authorization Act . + S:PURPOSE This was to add safeguards for personality-disorder military discharges . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 186/527 # + +'This amendment passed the full Senate in the spring of 2008.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) + ├───s───> 'This was in the spring of 2008 .' + └───n───> 'This amendment passed the full Senate .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# This amendment passed the full Senate in the spring of 2008. + +86145a9283db41f39c7a32ed68ffbf6a 0 This amendment passed the full Senate . + S:TEMPORAL This was in the spring of 2008 . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 187/527 # + +'He sponsored the Iran Sanctions Enabling Act supporting divestment of state pension funds from Iran's oil and gas industry, which was never enacted but later incorporated in the Comprehensive Iran Sanctions, Accountability, and Divestment Act of 2010; and co-sponsored legislation to reduce risks of nuclear terrorism.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/DESCRIBING_DEFINITION ('which', NonRestrictiveRelativeClauseWhoWhichExtractor) + ├───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) + | ├───s───> 'This was from Iran 's oil and gas industry .' + | └───n───> 'He sponsored the Iran Sanctions Enabling Act supporting divestment of state pension funds .' + └───s───> SUB/ELABORATION (NULL, NonRestrictiveAppositionExtractor) + ├───s───> 'The Comprehensive Iran Sanctions was Accountability .' + └───n───> 'Iran 's oil and gas industry was never enacted but later incorporated in the Comprehensive Iran Sanctions , and Divestment Act of 2010 ; and co-sponsored legislation to reduce risks of nuclear terrorism .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# He sponsored the Iran Sanctions Enabling Act supporting divestment of state pension funds from Iran's oil and gas industry, which was never enacted but later incorporated in the Comprehensive Iran Sanctions, Accountability, and Divestment Act of 2010; and co-sponsored legislation to reduce risks of nuclear terrorism. + +84af9fcb0cd14267a5cc609004b5d081 0 He sponsored the Iran Sanctions Enabling Act supporting divestment of state pension funds . + S:SPATIAL This was from Iran 's oil and gas industry . + L:DESCRIBING_DEFINITION 8cd940762e084a859237f0e6019f0074 + +8cd940762e084a859237f0e6019f0074 1 Iran 's oil and gas industry was never enacted but later incorporated in the Comprehensive Iran Sanctions , and Divestment Act of 2010 ; and co-sponsored legislation to reduce risks of nuclear terrorism . + L:ELABORATION f13f4fd840394dffb33c19c516469969 + +f13f4fd840394dffb33c19c516469969 2 The Comprehensive Iran Sanctions was Accountability . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 188/527 # + +'Obama also sponsored a Senate amendment to the State Children's Health Insurance Program, providing one year of job protection for family members caring for soldiers with combat-related injuries.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> CO/UNKNOWN_COORDINATION (NULL, SharedNPPostParticipalExtractor) + ├────────n────────> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + | ├───s───> 'This was to the State Children 's Health Insurance Program .' + | └───n───> 'Obama also sponsored a Senate amendment .' + └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + ├───s───> SUB/IDENTIFYING_DEFINITION ('', RestrictiveParticipialExtractor) + | ├───n───> 'This was for family members .' + | └───s───> 'Family members were caring for soldiers with combat-related injuries .' + └────────n────────> 'Obama also was providing one year of job protection .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# Obama also sponsored a Senate amendment to the State Children's Health Insurance Program, providing one year of job protection for family members caring for soldiers with combat-related injuries. + +2eb5349a8d554905826799f9e30c1318 0 Obama also sponsored a Senate amendment . + S:UNKNOWN_SUBORDINATION This was to the State Children 's Health Insurance Program . + +c3166a37934646cf8441c5c008b7f2c1 0 Obama also was providing one year of job protection . + L:UNKNOWN_SUBORDINATION f43473780a4c43bb98063d7781598ea3 + +f43473780a4c43bb98063d7781598ea3 1 This was for family members . + L:IDENTIFYING_DEFINITION ace5c27318b84652a6f47c98e5b0beb6 + +ace5c27318b84652a6f47c98e5b0beb6 2 Family members were caring for soldiers with combat-related injuries . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 189/527 # + +'Obama held assignments on the Senate Committees for Foreign Relations, Environment and Public Works and Veterans' Affairs through December 2006.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/ELABORATION (NULL, NonRestrictiveAppositionExtractor) + ├────────s────────> CO/LIST (NULL, PreListNPExtractor) + | ├───n───> 'Environment were Foreign Relations .' + | └───n───> 'Public Works and Veterans ' Affairs were Foreign Relations .' + └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + ├────────s────────> 'This was on the Senate Committees for Foreign Relations .' + └───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) + ├───s───> 'This was through December 2006 .' + └───n───> 'Obama held assignments .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# Obama held assignments on the Senate Committees for Foreign Relations, Environment and Public Works and Veterans' Affairs through December 2006. + +8a03b9bacec14e33bb61e8fad86f387b 0 Obama held assignments . + S:TEMPORAL This was through December 2006 . + S:UNKNOWN_SUBORDINATION This was on the Senate Committees for Foreign Relations . + L:ELABORATION 71f73398384e4018b21507116bcd0bfd + L:ELABORATION 953980e6b8a0411e9471e1bed768bb08 + +71f73398384e4018b21507116bcd0bfd 1 Environment were Foreign Relations . + L:LIST 953980e6b8a0411e9471e1bed768bb08 + +953980e6b8a0411e9471e1bed768bb08 1 Public Works and Veterans ' Affairs were Foreign Relations . + L:LIST 71f73398384e4018b21507116bcd0bfd + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 190/527 # + +'In January 2007, he left the Environment and Public Works committee and took additional assignments with Health, Education, Labor and Pensions and Homeland Security and Governmental Affairs.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> CO/LIST ('and', SharedNPPostCoordinationExtractor) + ├────────n────────> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + | ├───s───> 'This was in January 2007 .' + | └───n───> 'He left the Environment and Public Works committee .' + └───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + ├────────s────────> 'This was in January 2007 .' + └───n───> CO/LIST (NULL, PostListNPExtractor) + ├───n───> 'He took additional assignments with Health , Education , Labor and Pensions and Homeland Security .' + └───n───> 'He took additional assignments with Health , Education , Labor and Pensions and Governmental Affairs .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# In January 2007, he left the Environment and Public Works committee and took additional assignments with Health, Education, Labor and Pensions and Homeland Security and Governmental Affairs. + +3a028058634d4b8d8738a663a56c2200 0 He left the Environment and Public Works committee . + S:TEMPORAL This was in January 2007 . + L:LIST 8fb54a0383b14bb385c8b1942cd867f0 + L:LIST c23f49c294354202a758ba9ae942cb4f + +8fb54a0383b14bb385c8b1942cd867f0 0 He took additional assignments with Health , Education , Labor and Pensions and Homeland Security . + S:TEMPORAL This was in January 2007 . + L:LIST c23f49c294354202a758ba9ae942cb4f + L:LIST 3a028058634d4b8d8738a663a56c2200 + +c23f49c294354202a758ba9ae942cb4f 0 He took additional assignments with Health , Education , Labor and Pensions and Governmental Affairs . + S:TEMPORAL This was in January 2007 . + L:LIST 8fb54a0383b14bb385c8b1942cd867f0 + L:LIST 3a028058634d4b8d8738a663a56c2200 + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 191/527 # + +'He also became Chairman of the Senate's subcommittee on European Affairs.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + ├───s───> 'This was on European Affairs .' + └───n───> 'He also became Chairman of the Senate 's subcommittee .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# He also became Chairman of the Senate's subcommittee on European Affairs. + +c65afd0b3ab5405d8ce7b4008fd77cdb 0 He also became Chairman of the Senate 's subcommittee . + S:UNKNOWN_SUBORDINATION This was on European Affairs . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 192/527 # + +'As a member of the Senate Foreign Relations Committee, Obama made official trips to Eastern Europe, the Middle East, Central Asia and Africa.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) + ├───s───> CO/LIST (NULL, PostListNPExtractor) + | ├───n───> 'This was to Eastern Europe .' + | ├───n───> 'This was to the Middle East .' + | ├───n───> 'This was to Central Asia .' + | └───n───> 'This was to Africa .' + └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalInitialExtractor) + ├───s───> 'This was as a member of the Senate Foreign Relations Committee .' + └───n───> 'Obama made official trips .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# As a member of the Senate Foreign Relations Committee, Obama made official trips to Eastern Europe, the Middle East, Central Asia and Africa. + +bc1d4ec9045d4c8fb6f16dc7778d5ff3 0 Obama made official trips . + S:UNKNOWN_SUBORDINATION This was as a member of the Senate Foreign Relations Committee . + L:SPATIAL 647ffc6b956942c08ecc07b10f617443 + L:SPATIAL 99c448518a8e41559e9ce842f44fc516 + L:SPATIAL 093ed8f5a46945cdbcf3ce7fdd9badc5 + L:SPATIAL f85ed583ae614a92bf95b52003eb3b40 + +647ffc6b956942c08ecc07b10f617443 1 This was to Eastern Europe . + L:LIST 99c448518a8e41559e9ce842f44fc516 + L:LIST 093ed8f5a46945cdbcf3ce7fdd9badc5 + L:LIST f85ed583ae614a92bf95b52003eb3b40 + +99c448518a8e41559e9ce842f44fc516 1 This was to the Middle East . + L:LIST 093ed8f5a46945cdbcf3ce7fdd9badc5 + L:LIST f85ed583ae614a92bf95b52003eb3b40 + L:LIST 647ffc6b956942c08ecc07b10f617443 + +093ed8f5a46945cdbcf3ce7fdd9badc5 1 This was to Central Asia . + L:LIST f85ed583ae614a92bf95b52003eb3b40 + L:LIST 647ffc6b956942c08ecc07b10f617443 + L:LIST 99c448518a8e41559e9ce842f44fc516 + +f85ed583ae614a92bf95b52003eb3b40 1 This was to Africa . + L:LIST 647ffc6b956942c08ecc07b10f617443 + L:LIST 99c448518a8e41559e9ce842f44fc516 + L:LIST 093ed8f5a46945cdbcf3ce7fdd9badc5 + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 193/527 # + +'He met with Mahmoud Abbas before Abbas became President of the Palestinian National Authority, and gave a speech at the University of Nairobi in which he condemned corruption within the Kenyan government.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/TEMPORAL_AFTER ('before', SubordinationPostExtractor) + ├─────────────n─────────────> 'He met with Mahmoud Abbas .' + └───s───> CO/LIST (', and', SharedNPPostCoordinationExtractor) + ├────────n────────> 'Abbas became President of the Palestinian National Authority .' + └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + ├───s───> 'This was at the University of Nairobi in which he condemned corruption within the Kenyan government .' + └───n───> 'Abbas gave a speech .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# He met with Mahmoud Abbas before Abbas became President of the Palestinian National Authority, and gave a speech at the University of Nairobi in which he condemned corruption within the Kenyan government. + +dfa8e212807f42a89b20a0f1f6259f60 0 He met with Mahmoud Abbas . + L:TEMPORAL_AFTER c0548788581a4557b5aa5780eb6b868b + L:TEMPORAL_AFTER 9133f48b837848d78d452fc7995a3349 + +c0548788581a4557b5aa5780eb6b868b 1 Abbas became President of the Palestinian National Authority . + L:LIST 9133f48b837848d78d452fc7995a3349 + +9133f48b837848d78d452fc7995a3349 1 Abbas gave a speech . + S:UNKNOWN_SUBORDINATION This was at the University of Nairobi in which he condemned corruption within the Kenyan government . + L:LIST c0548788581a4557b5aa5780eb6b868b + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 194/527 # + +'On February 10, 2007, Obama announced his candidacy for President of the United States in front of the Old State Capitol building in Springfield, Illinois.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) + ├──────────────────s──────────────────> 'This was for President of the United States .' + └───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) + ├─────────────s─────────────> 'This was in front of the Old State Capitol building .' + └───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) + ├────────s────────> 'This was in Springfield , Illinois .' + └───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + ├───s───> 'This was on February 10 , 2007 .' + └───n───> 'Obama announced his candidacy .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# On February 10, 2007, Obama announced his candidacy for President of the United States in front of the Old State Capitol building in Springfield, Illinois. + +005572bb17f945c19e62073571700508 0 Obama announced his candidacy . + S:TEMPORAL This was on February 10 , 2007 . + S:SPATIAL This was in Springfield , Illinois . + S:SPATIAL This was in front of the Old State Capitol building . + S:SPATIAL This was for President of the United States . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 195/527 # + +'The choice of the announcement site was viewed as symbolic because it was also where Abraham Lincoln delivered his historic House Divided speech in 1858.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/CAUSE ('because', SubordinationPostExtractor) + ├─────────────n─────────────> 'The choice of the announcement site was viewed as symbolic .' + └───s───> SUB/ELABORATION ('where', SubordinationPostExtractor) + ├────────n────────> 'It was also .' + └───s───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) + ├───s───> 'This was in 1858 .' + └───n───> 'Abraham Lincoln delivered his historic House Divided speech .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# The choice of the announcement site was viewed as symbolic because it was also where Abraham Lincoln delivered his historic House Divided speech in 1858. + +6a3f75bc13be42889c9ec5fa456f3152 0 The choice of the announcement site was viewed as symbolic . + L:CAUSE 07fc337694244811a56416bc7f9224d9 + +07fc337694244811a56416bc7f9224d9 1 It was also . + L:ELABORATION afb08c1a451a491c83f5fc4e2cc741f3 + +afb08c1a451a491c83f5fc4e2cc741f3 2 Abraham Lincoln delivered his historic House Divided speech . + S:TEMPORAL This was in 1858 . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 196/527 # + +'Obama emphasized issues of rapidly ending the Iraq War, increasing energy independence, and reforming the health care system, in a campaign that projected themes of hope and change.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/IDENTIFYING_DEFINITION ('that', RestrictiveRelativeClauseWhoWhichExtractor) + ├───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalMiddleFinalExtractor) + | ├───s───> 'This was in a campaign .' + | └───n───> 'Obama emphasized issues of rapidly ending the Iraq War , increasing energy independence , and reforming the health care system .' + └────────s────────> 'A campaign projected themes of hope and change .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# Obama emphasized issues of rapidly ending the Iraq War, increasing energy independence, and reforming the health care system, in a campaign that projected themes of hope and change. + +eae18ac296714ebfa0a1916d2bf089d0 0 Obama emphasized issues of rapidly ending the Iraq War , increasing energy independence , and reforming the health care system . + S:UNKNOWN_SUBORDINATION This was in a campaign . + L:IDENTIFYING_DEFINITION 291a898a1ce44d70ac0833c872c28a38 + +291a898a1ce44d70ac0833c872c28a38 1 A campaign projected themes of hope and change . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 197/527 # + +'Numerous candidates entered the Democratic Party presidential primaries.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> 'Numerous candidates entered the Democratic Party presidential primaries .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# Numerous candidates entered the Democratic Party presidential primaries. + +7829d74fcb77467e8911572efa768411 0 Numerous candidates entered the Democratic Party presidential primaries . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 198/527 # + +'The field narrowed to a duel between Obama and Senator Hillary Clinton after early contests, with the race remaining close throughout the primary process but with Obama gaining a steady lead in pledged delegates due to better long-range planning, superior fundraising, dominant organizing in caucus states, and better exploitation of delegate allocation rules.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) + ├───────────────────────s───────────────────────> 'Hillary Clinton was a duel between Obama and Senator .' + └───n───> SUB/ELABORATION (NULL, NonRestrictiveAppositionExtractor) + ├──────────────────s──────────────────> 'Better long-range planning was superior fundraising .' + └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + ├─────────────s─────────────> 'This was after early contests .' + └───n───> CO/UNKNOWN_COORDINATION (NULL, SharedNPPostParticipalExtractor) + ├───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalMiddleFinalExtractor) + | ├───s───> 'This was with the race remaining close throughout the primary process but with Obama .' + | └───n───> 'The field narrowed to Hillary Clinton .' + └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + ├───s───> 'This was in pledged delegates due to better long-range planning dominant organizing in caucus states , and better exploitation of delegate allocation rules .' + └───n───> 'The field was gaining a steady lead .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# The field narrowed to a duel between Obama and Senator Hillary Clinton after early contests, with the race remaining close throughout the primary process but with Obama gaining a steady lead in pledged delegates due to better long-range planning, superior fundraising, dominant organizing in caucus states, and better exploitation of delegate allocation rules. + +9a062d3eb5ad4e2d93d26ee9a7a31b38 0 The field narrowed to Hillary Clinton . + S:UNKNOWN_SUBORDINATION This was with the race remaining close throughout the primary process but with Obama . + S:UNKNOWN_SUBORDINATION This was after early contests . + L:ELABORATION e5fe70e4575a4f1dba45d68d3942ce62 + L:ELABORATION 2f9870274bde4239ba876685a43a2d61 + +a65374022dfe45e498526029d13bee93 0 The field was gaining a steady lead . + S:UNKNOWN_SUBORDINATION This was in pledged delegates due to better long-range planning dominant organizing in caucus states , and better exploitation of delegate allocation rules . + S:UNKNOWN_SUBORDINATION This was after early contests . + L:ELABORATION e5fe70e4575a4f1dba45d68d3942ce62 + L:ELABORATION 2f9870274bde4239ba876685a43a2d61 + +e5fe70e4575a4f1dba45d68d3942ce62 1 Better long-range planning was superior fundraising . + +2f9870274bde4239ba876685a43a2d61 1 Hillary Clinton was a duel between Obama and Senator . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 199/527 # + +'On June 7, 2008, Clinton ended her campaign and endorsed Obama.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> CO/LIST ('and', SharedNPPostCoordinationExtractor) + ├───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + | ├───s───> 'This was on June 7 , 2008 .' + | └───n───> 'Clinton ended her campaign .' + └───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + ├───s───> 'This was on June 7 , 2008 .' + └───n───> 'Clinton endorsed Obama .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# On June 7, 2008, Clinton ended her campaign and endorsed Obama. + +04984677ff764a0881f3251d4c32b8d5 0 Clinton ended her campaign . + S:TEMPORAL This was on June 7 , 2008 . + L:LIST 2ec8906453c3464b9161428f786c8fb7 + +2ec8906453c3464b9161428f786c8fb7 0 Clinton endorsed Obama . + S:TEMPORAL This was on June 7 , 2008 . + L:LIST 04984677ff764a0881f3251d4c32b8d5 + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 200/527 # + +'During both the primary process and the general election, Obama's campaign set numerous fundraising records, particularly in the quantity of small donations.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalInitialExtractor) + ├────────s────────> 'This was during both the primary process and the general election .' + └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalMiddleFinalExtractor) + ├───s───> 'This was particularly in the quantity of small donations .' + └───n───> 'Obama 's campaign set numerous fundraising records .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# During both the primary process and the general election, Obama's campaign set numerous fundraising records, particularly in the quantity of small donations. + +1fa0d93f44304bca843936f91ab5ab1b 0 Obama 's campaign set numerous fundraising records . + S:UNKNOWN_SUBORDINATION This was particularly in the quantity of small donations . + S:UNKNOWN_SUBORDINATION This was during both the primary process and the general election . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 201/527 # + +'On June 19, 2008, Obama became the first major-party presidential candidate to turn down public financing in the general election since the system was created in 1976.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/PURPOSE (NULL, PurposePostExtractor) + ├───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + | ├───s───> 'This was on June 19 , 2008 .' + | └───n───> 'Obama became the first major-party presidential candidate .' + └────────s────────> 'This was to turn down public financing in the general election since the system was created in 1976 .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# On June 19, 2008, Obama became the first major-party presidential candidate to turn down public financing in the general election since the system was created in 1976. + +f3eb618399c34a1981014125de483309 0 Obama became the first major-party presidential candidate . + S:TEMPORAL This was on June 19 , 2008 . + S:PURPOSE This was to turn down public financing in the general election since the system was created in 1976 . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 202/527 # + +'John McCain was nominated as the Republican candidate, and he selected Sarah Palin as his running mate.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> CO/LIST (', and', CoordinationExtractor) + ├───n───> 'John McCain was nominated as the Republican candidate .' + └───n───> 'He selected Sarah Palin as his running mate .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# John McCain was nominated as the Republican candidate, and he selected Sarah Palin as his running mate. + +d4c125f650bf4d8895e6b64e9f34e380 0 John McCain was nominated as the Republican candidate . + L:LIST 285293e9fe5a477e9e7a6dbb576f1697 + +285293e9fe5a477e9e7a6dbb576f1697 0 He selected Sarah Palin as his running mate . + L:LIST d4c125f650bf4d8895e6b64e9f34e380 + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 203/527 # + +'The two candidates engaged in three presidential debates in September and October 2008.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) + ├───s───> CO/LIST (NULL, PostListNPExtractor) + | ├───n───> 'This was in September .' + | └───n───> 'This was in October 2008 .' + └────────n────────> 'The two candidates engaged in three presidential debates .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# The two candidates engaged in three presidential debates in September and October 2008. + +b9af5759cd204d438bec7f6193337a6c 0 The two candidates engaged in three presidential debates . + L:TEMPORAL 26bf2c193f714e78b1a8d07049818dd2 + L:TEMPORAL ffcaee751ad44ac68cf79fa10c428c38 + +26bf2c193f714e78b1a8d07049818dd2 1 This was in September . + L:LIST ffcaee751ad44ac68cf79fa10c428c38 + +ffcaee751ad44ac68cf79fa10c428c38 1 This was in October 2008 . + L:LIST 26bf2c193f714e78b1a8d07049818dd2 + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 204/527 # + +'On November 4, Obama won the presidency with 365 electoral votes to 173 received by McCain.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) + ├─────────────s─────────────> 'This was with 365 electoral votes .' + └───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) + ├───s───> SUB/IDENTIFYING_DEFINITION ('', RestrictiveParticipialExtractor) + | ├───n───> 'This was to 173 .' + | └───s───> '173 was received by McCain .' + └───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + ├───s───> 'This was on November 4 .' + └───n───> 'Obama won the presidency .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# On November 4, Obama won the presidency with 365 electoral votes to 173 received by McCain. + +b0e2e06e3b9d42358d52cec140e003cc 0 Obama won the presidency . + S:TEMPORAL This was on November 4 . + S:TEMPORAL This was with 365 electoral votes . + L:TEMPORAL cbed0faa2b544b45be6624b3a0c57473 + +cbed0faa2b544b45be6624b3a0c57473 1 This was to 173 . + L:IDENTIFYING_DEFINITION ab08940cdccf4f17bf62003554b2999b + +ab08940cdccf4f17bf62003554b2999b 2 173 was received by McCain . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 205/527 # + +'Obama won 52.9% of the popular vote to McCain's 45.7%.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) + ├───s───> 'This was to McCain 's 45.7 % .' + └───n───> 'Obama won 52.9 % of the popular vote .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# Obama won 52.9% of the popular vote to McCain's 45.7%. + +c0d49d1db08f4670817139ce426105e0 0 Obama won 52.9 % of the popular vote . + S:TEMPORAL This was to McCain 's 45.7 % . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 206/527 # + +'He became the first African American to be elected president.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/PURPOSE (NULL, PurposePostExtractor) + ├───n───> 'He became the first African American .' + └───s───> 'This was to be elected president .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# He became the first African American to be elected president. + +ec9cc9c815504da68248afe486dd9ffd 0 He became the first African American . + S:PURPOSE This was to be elected president . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 207/527 # + +'Obama delivered his victory speech before hundreds of thousands of supporters in Chicago's Grant Park.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + ├────────s────────> 'This was before hundreds of thousands of supporters .' + └───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) + ├───s───> 'This was in Chicago 's Grant Park .' + └───n───> 'Obama delivered his victory speech .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# Obama delivered his victory speech before hundreds of thousands of supporters in Chicago's Grant Park. + +2d2710b16cbe4567aa0fe853d548a08f 0 Obama delivered his victory speech . + S:SPATIAL This was in Chicago 's Grant Park . + S:UNKNOWN_SUBORDINATION This was before hundreds of thousands of supporters . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 208/527 # + +'Obama greets former Governor Mitt Romney in the Oval Office on November 29, 2012, in their first meeting since Obama's re-election victory over Romney' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) + ├─────────────s─────────────> 'Mitt Romney is former Governor .' + └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + ├────────s────────> 'This is in their first meeting since Obama 's re-election victory over Romney .' + └───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) + ├───s───> 'This is on November 29 , 2012 .' + └───n───> 'Obama greets Mitt Romney in the Oval Office .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# Obama greets former Governor Mitt Romney in the Oval Office on November 29, 2012, in their first meeting since Obama's re-election victory over Romney + +7dbcea9c713f4d8c82db9046fff853b3 0 Obama greets Mitt Romney in the Oval Office . + S:TEMPORAL This is on November 29 , 2012 . + S:UNKNOWN_SUBORDINATION This is in their first meeting since Obama 's re-election victory over Romney . + L:ELABORATION 59b8aa5cf5e640bcbef1c30d036a5bcb + +59b8aa5cf5e640bcbef1c30d036a5bcb 1 Mitt Romney is former Governor . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 209/527 # + +'On April 4, 2011, Obama announced his reelection campaign for 2012 in a video titled It Begins with Us that he posted on his website and filed election papers with the Federal Election Commission.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) + ├────────────────────────────s────────────────────────────> 'This was for 2012 .' + └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + ├───s───> SUB/IDENTIFYING_DEFINITION ('', RestrictiveParticipialExtractor) + | ├──────────────────n──────────────────> 'This was in a video .' + | └───s───> SUB/UNKNOWN_SUBORDINATION ('that', SubordinationPostExtractor) + | ├────────n────────> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + | | ├───s───> 'This was with Us .' + | | └───n───> 'A video was titled It Begins .' + | └───s───> CO/LIST ('and', SharedNPPostCoordinationExtractor) + | ├────────n────────> 'He posted on his website .' + | └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + | ├───s───> 'This was with the Federal Election Commission .' + | └───n───> 'He filed election papers .' + └──────────────────n──────────────────> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + ├───s───> 'This was on April 4 , 2011 .' + └───n───> 'Obama announced his reelection campaign .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# On April 4, 2011, Obama announced his reelection campaign for 2012 in a video titled It Begins with Us that he posted on his website and filed election papers with the Federal Election Commission. + +432cb59734274d799d3a546f983ab6e7 0 Obama announced his reelection campaign . + S:TEMPORAL This was on April 4 , 2011 . + S:TEMPORAL This was for 2012 . + L:UNKNOWN_SUBORDINATION dfbaf3670540419fb2698743aecda0e8 + +dfbaf3670540419fb2698743aecda0e8 1 This was in a video . + L:IDENTIFYING_DEFINITION f24d36f39aed457081561fd8fad573dd + +f24d36f39aed457081561fd8fad573dd 2 A video was titled It Begins . + S:UNKNOWN_SUBORDINATION This was with Us . + L:UNKNOWN_SUBORDINATION 43510d5b0a114825a2c0ac07efc0093b + L:UNKNOWN_SUBORDINATION b4e25d314db948e4b78e9e1dce2493d7 + +43510d5b0a114825a2c0ac07efc0093b 3 He posted on his website . + L:LIST b4e25d314db948e4b78e9e1dce2493d7 + +b4e25d314db948e4b78e9e1dce2493d7 3 He filed election papers . + S:UNKNOWN_SUBORDINATION This was with the Federal Election Commission . + L:LIST 43510d5b0a114825a2c0ac07efc0093b + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 210/527 # + +'As the incumbent president he ran virtually unopposed in the Democratic Party presidential primaries, and on April 3, 2012, Obama had secured the 2778 convention delegates needed to win the Democratic nomination.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> CO/LIST (', and', CoordinationExtractor) + ├───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalInitialExtractor) + | ├───s───> 'This was as the incumbent president .' + | └───n───> 'He ran virtually unopposed in the Democratic Party presidential primaries .' + └───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + ├───s───> 'This was on April 3 , 2012 .' + └───n───> 'Obama had secured the 2778 convention delegates needed to win the Democratic nomination .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# As the incumbent president he ran virtually unopposed in the Democratic Party presidential primaries, and on April 3, 2012, Obama had secured the 2778 convention delegates needed to win the Democratic nomination. + +dbb1e9d335aa41709c6d90714c600e8d 0 He ran virtually unopposed in the Democratic Party presidential primaries . + S:UNKNOWN_SUBORDINATION This was as the incumbent president . + L:LIST 8da0b7c497b5425bb6f8207ce57a98d2 + +8da0b7c497b5425bb6f8207ce57a98d2 0 Obama had secured the 2778 convention delegates needed to win the Democratic nomination . + S:TEMPORAL This was on April 3 , 2012 . + L:LIST dbb1e9d335aa41709c6d90714c600e8d + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 211/527 # + +'At the Democratic National Convention in Charlotte, North Carolina, Obama and Joe Biden were formally nominated by former President Bill Clinton as the Democratic Party candidates for president and vice president in the general election.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) + ├──────────────────s──────────────────> 'Bill Clinton was former President .' + └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + ├─────────────s─────────────> 'This was in the general election .' + └───n───> SUB/SPATIAL (NULL, PrepositionalInitialExtractor) + ├────────s────────> 'This was at the Democratic National Convention in Charlotte .' + └───n───> CO/LIST (NULL, PreListNPExtractor) + ├───n───> 'North Carolina were formally nominated by Bill Clinton as the Democratic Party candidates for president and vice president .' + ├───n───> 'Obama were formally nominated by Bill Clinton as the Democratic Party candidates for president and vice president .' + └───n───> 'Joe Biden were formally nominated by Bill Clinton as the Democratic Party candidates for president and vice president .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# At the Democratic National Convention in Charlotte, North Carolina, Obama and Joe Biden were formally nominated by former President Bill Clinton as the Democratic Party candidates for president and vice president in the general election. + +9a3ef80004d741a98359fd893aec4db6 0 North Carolina were formally nominated by Bill Clinton as the Democratic Party candidates for president and vice president . + S:SPATIAL This was at the Democratic National Convention in Charlotte . + S:UNKNOWN_SUBORDINATION This was in the general election . + L:LIST 3a9b06e7a4bc4fd4a061bfa89a81e3f8 + L:LIST 646b505d35364ec8b0d4d5d909d08b09 + L:ELABORATION 07a15d77467a4936ab19ae07b3ac64db + +3a9b06e7a4bc4fd4a061bfa89a81e3f8 0 Obama were formally nominated by Bill Clinton as the Democratic Party candidates for president and vice president . + S:SPATIAL This was at the Democratic National Convention in Charlotte . + S:UNKNOWN_SUBORDINATION This was in the general election . + L:LIST 646b505d35364ec8b0d4d5d909d08b09 + L:LIST 9a3ef80004d741a98359fd893aec4db6 + L:ELABORATION 07a15d77467a4936ab19ae07b3ac64db + +646b505d35364ec8b0d4d5d909d08b09 0 Joe Biden were formally nominated by Bill Clinton as the Democratic Party candidates for president and vice president . + S:SPATIAL This was at the Democratic National Convention in Charlotte . + S:UNKNOWN_SUBORDINATION This was in the general election . + L:LIST 9a3ef80004d741a98359fd893aec4db6 + L:LIST 3a9b06e7a4bc4fd4a061bfa89a81e3f8 + L:ELABORATION 07a15d77467a4936ab19ae07b3ac64db + +07a15d77467a4936ab19ae07b3ac64db 1 Bill Clinton was former President . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 212/527 # + +'Their main opponents were Republicans Mitt Romney, the former governor of Massachusetts, and Representative Paul Ryan of Wisconsin.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) + ├─────────────s─────────────> 'Mitt Romney was Republicans .' + └───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) + ├────────s────────> 'Paul Ryan was Representative .' + └───n───> CO/LIST (NULL, PostListNPExtractor) + ├───n───> 'Their main opponents were Mitt Romney .' + ├───n───> 'Their main opponents were the former governor of Massachusetts .' + └───n───> 'Their main opponents were Paul Ryan of Wisconsin .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# Their main opponents were Republicans Mitt Romney, the former governor of Massachusetts, and Representative Paul Ryan of Wisconsin. + +19e32a564f074be6a0fbcd65b68f43d1 0 Their main opponents were Mitt Romney . + L:LIST 93132108b6f84d56abf5684d5b99a57c + L:LIST 7996cbd050f24d20b13eaaceb85f0aea + L:ELABORATION 4a82246621424dba8a9f13eb9a83c17b + L:ELABORATION c957e5e640064a29ad97a70cb18e861c + +93132108b6f84d56abf5684d5b99a57c 0 Their main opponents were the former governor of Massachusetts . + L:LIST 7996cbd050f24d20b13eaaceb85f0aea + L:LIST 19e32a564f074be6a0fbcd65b68f43d1 + L:ELABORATION 4a82246621424dba8a9f13eb9a83c17b + L:ELABORATION c957e5e640064a29ad97a70cb18e861c + +7996cbd050f24d20b13eaaceb85f0aea 0 Their main opponents were Paul Ryan of Wisconsin . + L:LIST 19e32a564f074be6a0fbcd65b68f43d1 + L:LIST 93132108b6f84d56abf5684d5b99a57c + L:ELABORATION 4a82246621424dba8a9f13eb9a83c17b + L:ELABORATION c957e5e640064a29ad97a70cb18e861c + +4a82246621424dba8a9f13eb9a83c17b 1 Paul Ryan was Representative . + +c957e5e640064a29ad97a70cb18e861c 1 Mitt Romney was Republicans . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 213/527 # + +'On November 6, 2012, Obama won 332 electoral votes, exceeding the 270 required for him to be reelected as president.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> CO/UNKNOWN_COORDINATION (NULL, SharedNPPostParticipalExtractor) + ├───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + | ├───s───> 'This was on November 6 , 2012 .' + | └───n───> 'Obama won 332 electoral votes .' + └───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + ├───s───> 'This was on November 6 , 2012 .' + └───n───> 'Obama was exceeding the 270 required for him to be reelected as president .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# On November 6, 2012, Obama won 332 electoral votes, exceeding the 270 required for him to be reelected as president. + +1c8d641e59f84b76bbe86caf57c89ee3 0 Obama won 332 electoral votes . + S:TEMPORAL This was on November 6 , 2012 . + +4376a43d599c4393b74b52fe1b4c10c7 0 Obama was exceeding the 270 required for him to be reelected as president . + S:TEMPORAL This was on November 6 , 2012 . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 214/527 # + +'With 51.1% of the popular vote, Obama became the first Democratic president since Franklin D. Roosevelt to win the majority of the popular vote twice.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/PURPOSE (NULL, PurposePostExtractor) + ├───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + | ├────────s────────> 'This was since Franklin D. Roosevelt .' + | └───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + | ├───s───> 'This was with 51.1 % of the popular vote .' + | └───n───> 'Obama became the first Democratic president .' + └─────────────s─────────────> 'This was to win the majority of the popular vote twice .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# With 51.1% of the popular vote, Obama became the first Democratic president since Franklin D. Roosevelt to win the majority of the popular vote twice. + +656297596f894cddb42f14e8251fa7d2 0 Obama became the first Democratic president . + S:TEMPORAL This was with 51.1 % of the popular vote . + S:UNKNOWN_SUBORDINATION This was since Franklin D. Roosevelt . + S:PURPOSE This was to win the majority of the popular vote twice . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 215/527 # + +'President Obama addressed supporters and volunteers at Chicago's McCormick Place after his reelection and said: Tonight you voted for action, not politics as usual.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> CO/UNKNOWN_COORDINATION (':', CoordinationExtractor) + ├───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) + | ├──────────────────s──────────────────> 'Obama was President .' + | └───n───> CO/LIST ('and', SharedNPPostCoordinationExtractor) + | ├───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) + | | ├────────s────────> 'This was at Chicago 's McCormick Place .' + | | └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + | | ├───s───> 'This was after his reelection .' + | | └───n───> 'Obama addressed supporters and volunteers .' + | └─────────────n─────────────> 'Obama said .' + └──────────────────n──────────────────> SUB/UNKNOWN_SUBORDINATION (NULL, AdjectivalAdverbialMiddleFinalExtractor) + ├───s───> 'This was not politics as usual .' + └───n───> 'Tonight you voted for action .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# President Obama addressed supporters and volunteers at Chicago's McCormick Place after his reelection and said: Tonight you voted for action, not politics as usual. + +969ab2c262b144d38f12dede8e3999f4 0 Obama addressed supporters and volunteers . + S:UNKNOWN_SUBORDINATION This was after his reelection . + S:SPATIAL This was at Chicago 's McCormick Place . + L:LIST 1e385b49bffc4336b8332e473f8f547d + L:ELABORATION 028dd86c85f54066ba1f322f65a991f1 + +1e385b49bffc4336b8332e473f8f547d 0 Obama said . + L:LIST 969ab2c262b144d38f12dede8e3999f4 + L:ELABORATION 028dd86c85f54066ba1f322f65a991f1 + +028dd86c85f54066ba1f322f65a991f1 1 Obama was President . + +00bcdcbd187244ab882c1184b6328418 0 Tonight you voted for action . + S:UNKNOWN_SUBORDINATION This was not politics as usual . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 216/527 # + +'You elected us to focus on your jobs, not ours.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> 'You elected us to focus on your jobs , not ours .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# You elected us to focus on your jobs, not ours. + +0f902fb4e0cd45559b3c13a663107aa7 0 You elected us to focus on your jobs , not ours . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 217/527 # + +'And in the coming weeks and months, I am looking forward to reaching out and working with leaders of both parties.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> 'And in the coming weeks and months , I am looking forward to reaching out and working with leaders of both parties .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# And in the coming weeks and months, I am looking forward to reaching out and working with leaders of both parties. + +9a2ec2833f104a33967da4281775e23e 0 And in the coming weeks and months , I am looking forward to reaching out and working with leaders of both parties . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 218/527 # + +'The inauguration of Barack Obama as the 44th President took place on January 20, 2009.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) + ├───s───> 'This was on January 20 , 2009 .' + └───n───> 'The inauguration of Barack Obama as the 44th President took place .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# The inauguration of Barack Obama as the 44th President took place on January 20, 2009. + +2e63764e315b46dca67181e10b30b222 0 The inauguration of Barack Obama as the 44th President took place . + S:TEMPORAL This was on January 20 , 2009 . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 219/527 # + +'In his first few days in office, Obama issued executive orders and presidential memoranda directing the U.S. military to develop plans to withdraw troops from Iraq.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) + ├─────────────s─────────────> 'This was from Iraq .' + └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalInitialExtractor) + ├────────s────────> 'This was in his first few days in office .' + └───n───> CO/LIST (NULL, PostListNPExtractor) + ├───n───> 'Obama issued executive orders directing the U.S. military to develop plans to withdraw troops .' + └───n───> 'Obama issued presidential memoranda directing the U.S. military to develop plans to withdraw troops .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# In his first few days in office, Obama issued executive orders and presidential memoranda directing the U.S. military to develop plans to withdraw troops from Iraq. + +96ea04a897e84537b309d0762b66947c 0 Obama issued executive orders directing the U.S. military to develop plans to withdraw troops . + S:UNKNOWN_SUBORDINATION This was in his first few days in office . + S:SPATIAL This was from Iraq . + L:LIST 738f22b260ac4524b5f684118af9b072 + +738f22b260ac4524b5f684118af9b072 0 Obama issued presidential memoranda directing the U.S. military to develop plans to withdraw troops . + S:UNKNOWN_SUBORDINATION This was in his first few days in office . + S:SPATIAL This was from Iraq . + L:LIST 96ea04a897e84537b309d0762b66947c + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 220/527 # + +'He ordered the closing of the Guantanamo Bay detention camp, but Congress prevented the closure by refusing to appropriate the required funds and preventing moving any Guantanamo detainee into the U.S. or to other countries.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> CO/CONTRAST (', but', CoordinationExtractor) + ├──────────────────n──────────────────> 'He ordered the closing of the Guantanamo Bay detention camp .' + └───n───> CO/UNKNOWN_COORDINATION (NULL, SharedNPPostParticipalExtractor) + ├─────────────n─────────────> 'Congress prevented the closure .' + └───n───> CO/LIST ('and', SharedNPPostCoordinationExtractor) + ├────────n────────> 'Congress was refusing to appropriate the required funds .' + └───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) + ├───s───> 'This was into the U.S. or to other countries .' + └───n───> 'Congress was preventing moving any Guantanamo detainee .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# He ordered the closing of the Guantanamo Bay detention camp, but Congress prevented the closure by refusing to appropriate the required funds and preventing moving any Guantanamo detainee into the U.S. or to other countries. + +ecd5172b6d7f44f2ac47af343beb7b3f 0 He ordered the closing of the Guantanamo Bay detention camp . + L:CONTRAST 20af7e8c0dad4346bbdc80200bd8d4c5 + L:CONTRAST 6f3b7868c67d4a17a97b68bd12c954c9 + L:CONTRAST 4b80014051304671b6457c360dd62f02 + +20af7e8c0dad4346bbdc80200bd8d4c5 0 Congress prevented the closure . + L:CONTRAST ecd5172b6d7f44f2ac47af343beb7b3f + +6f3b7868c67d4a17a97b68bd12c954c9 0 Congress was refusing to appropriate the required funds . + L:LIST 4b80014051304671b6457c360dd62f02 + L:CONTRAST ecd5172b6d7f44f2ac47af343beb7b3f + +4b80014051304671b6457c360dd62f02 0 Congress was preventing moving any Guantanamo detainee . + S:SPATIAL This was into the U.S. or to other countries . + L:LIST 6f3b7868c67d4a17a97b68bd12c954c9 + L:CONTRAST ecd5172b6d7f44f2ac47af343beb7b3f + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 221/527 # + +'Obama reduced the secrecy given to presidential records.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + ├───s───> 'This was given to presidential records .' + └───n───> 'Obama reduced the secrecy .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# Obama reduced the secrecy given to presidential records. + +f1fe98b7f2584712b72c8ceac42138dc 0 Obama reduced the secrecy . + S:UNKNOWN_SUBORDINATION This was given to presidential records . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 222/527 # + +'He also revoked President George W. Bush's restoration of President Ronald Reagan's Mexico City Policy prohibiting federal aid to international family planning organizations that perform or provide counseling about abortion.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) + ├─────────────s─────────────> 'George W. Bush was President .' + └───n───> SUB/IDENTIFYING_DEFINITION ('that', RestrictiveRelativeClauseWhoWhichExtractor) + ├───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + | ├───s───> 'This was to international family planning organizations .' + | └───n───> 'He also revoked George W. Bush 's restoration of Ronald Reagan 's Mexico City Policy prohibiting federal aid .' + └───s───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + ├───s───> 'This is about abortion .' + └───n───> 'International family planning organizations perform or provide counseling .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# He also revoked President George W. Bush's restoration of President Ronald Reagan's Mexico City Policy prohibiting federal aid to international family planning organizations that perform or provide counseling about abortion. + +d55761c21b2e4a8b97f7efc63e78c73d 0 He also revoked George W. Bush 's restoration of Ronald Reagan 's Mexico City Policy prohibiting federal aid . + S:UNKNOWN_SUBORDINATION This was to international family planning organizations . + L:IDENTIFYING_DEFINITION aac355bc2afa4cd3807bd0ee44046765 + L:ELABORATION 61857260a1404f98ac5a6a83754b2f60 + +aac355bc2afa4cd3807bd0ee44046765 1 International family planning organizations perform or provide counseling . + S:UNKNOWN_SUBORDINATION This is about abortion . + +61857260a1404f98ac5a6a83754b2f60 1 George W. Bush was President . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 223/527 # + +'The first bill signed into law by Obama was the Lilly Ledbetter Fair Pay Act of 2009, relaxing the statute of limitations for equal-pay lawsuits.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/UNKNOWN_SUBORDINATION ('', ParticipialMiddleExtractor) + ├───n───> 'The first bill signed into law by Obama was the Lilly Ledbetter Fair Pay Act of 2009 .' + └───s───> 'The Lilly Ledbetter Fair Pay Act of 2009 was relaxing the statute of limitations for equal-pay lawsuits .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# The first bill signed into law by Obama was the Lilly Ledbetter Fair Pay Act of 2009, relaxing the statute of limitations for equal-pay lawsuits. + +39c8d94acbf44b93a9413fd77032013e 0 The first bill signed into law by Obama was the Lilly Ledbetter Fair Pay Act of 2009 . + L:UNKNOWN_SUBORDINATION cbbfc4506f0c48e8aad2c3137403d3da + +cbbfc4506f0c48e8aad2c3137403d3da 1 The Lilly Ledbetter Fair Pay Act of 2009 was relaxing the statute of limitations for equal-pay lawsuits . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 224/527 # + +'Five days later, he signed the reauthorization of the State Children's Health Insurance Program (SCHIP) to cover an additional 4 million uninsured children.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/PURPOSE (NULL, PurposePostExtractor) + ├───n───> 'Five days later , he signed the reauthorization of the State Children 's Health Insurance Program -LRB- SCHIP -RRB- .' + └───s───> 'This was to cover an additional 4 million uninsured children .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# Five days later, he signed the reauthorization of the State Children's Health Insurance Program (SCHIP) to cover an additional 4 million uninsured children. + +e76afc94101b447b91204d307749acb1 0 Five days later , he signed the reauthorization of the State Children 's Health Insurance Program -LRB- SCHIP -RRB- . + S:PURPOSE This was to cover an additional 4 million uninsured children . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 225/527 # + +'In March 2009, Obama reversed a Bush-era policy that had limited funding of embryonic stem cell research and pledged to develop strict guidelines on the research.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/IDENTIFYING_DEFINITION ('that', RestrictiveRelativeClauseWhoWhichExtractor) + ├────────n────────> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + | ├───s───> 'This was in March 2009 .' + | └───n───> 'Obama reversed a Bush-era policy .' + └───s───> CO/LIST ('and', SharedNPPostCoordinationExtractor) + ├────────n────────> 'A Bush-era policy had limited funding of embryonic stem cell research .' + └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + ├───s───> 'This was on the research .' + └───n───> 'A Bush-era policy pledged to develop strict guidelines .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# In March 2009, Obama reversed a Bush-era policy that had limited funding of embryonic stem cell research and pledged to develop strict guidelines on the research. + +aedce9cdd9974daba8b286ee475a716f 0 Obama reversed a Bush-era policy . + S:TEMPORAL This was in March 2009 . + L:IDENTIFYING_DEFINITION f63d23421aa54180aee3e9f66836ddb7 + L:IDENTIFYING_DEFINITION 1ac5b04cbe10483899087dab42152448 + +f63d23421aa54180aee3e9f66836ddb7 1 A Bush-era policy had limited funding of embryonic stem cell research . + L:LIST 1ac5b04cbe10483899087dab42152448 + +1ac5b04cbe10483899087dab42152448 1 A Bush-era policy pledged to develop strict guidelines . + S:UNKNOWN_SUBORDINATION This was on the research . + L:LIST f63d23421aa54180aee3e9f66836ddb7 + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 226/527 # + +'Obama appointed two women to serve on the Supreme Court in the first two years of his Presidency.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/PURPOSE (NULL, PurposePostExtractor) + ├───n───> 'Obama appointed two women .' + └───s───> 'This was to serve on the Supreme Court in the first two years of his Presidency .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# Obama appointed two women to serve on the Supreme Court in the first two years of his Presidency. + +7439cfd1a24948608f0df178c1efd67c 0 Obama appointed two women . + S:PURPOSE This was to serve on the Supreme Court in the first two years of his Presidency . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 227/527 # + +'He nominated Sonia Sotomayor on May 26, 2009 to replace retiring Associate Justice David Souter; she was confirmed on August 6, 2009, becoming the first Supreme Court Justice of Hispanic descent.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> CO/UNKNOWN_COORDINATION (';', CoordinationExtractor) + ├───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) + | ├────────s────────> 'David Souter was Associate Justice .' + | └───n───> SUB/PURPOSE (NULL, PurposePostExtractor) + | ├───n───> 'He nominated Sonia Sotomayor on May 26 , 2009 .' + | └───s───> 'This was to replace retiring David Souter .' + └────────n────────> CO/UNKNOWN_COORDINATION (NULL, SharedNPPostParticipalExtractor) + ├───n───> 'She was confirmed on August 6 , 2009 .' + └───n───> 'She was becoming the first Supreme Court Justice of Hispanic descent .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# He nominated Sonia Sotomayor on May 26, 2009 to replace retiring Associate Justice David Souter; she was confirmed on August 6, 2009, becoming the first Supreme Court Justice of Hispanic descent. + +07b3199f04134a0da34ae740cffc6f02 0 He nominated Sonia Sotomayor on May 26 , 2009 . + S:PURPOSE This was to replace retiring David Souter . + L:ELABORATION 70a3a884b83b4f44a147b0a47d051aea + +70a3a884b83b4f44a147b0a47d051aea 1 David Souter was Associate Justice . + +b303d15d0ca047239f52ce2c06bca228 0 She was confirmed on August 6 , 2009 . + +e9c9952c69f34bae8f9faf0368d488eb 0 She was becoming the first Supreme Court Justice of Hispanic descent . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 228/527 # + +'Obama nominated Elena Kagan on May 10, 2010 to replace retiring Associate Justice John Paul Stevens.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) + ├────────s────────> 'John Paul Stevens was Associate Justice .' + └───n───> SUB/PURPOSE (NULL, PurposePostExtractor) + ├───n───> 'Obama nominated Elena Kagan on May 10 , 2010 .' + └───s───> 'This was to replace retiring John Paul Stevens .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# Obama nominated Elena Kagan on May 10, 2010 to replace retiring Associate Justice John Paul Stevens. + +ddc3cf7eeafb4fb387489e9da5dc2148 0 Obama nominated Elena Kagan on May 10 , 2010 . + S:PURPOSE This was to replace retiring John Paul Stevens . + L:ELABORATION d1f186000383401493e5c392b821bca4 + +d1f186000383401493e5c392b821bca4 1 John Paul Stevens was Associate Justice . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 229/527 # + +'She was confirmed on August 5, 2010, bringing the number of women sitting simultaneously on the Court to three justices for the first time in American history.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> CO/UNKNOWN_COORDINATION (NULL, SharedNPPostParticipalExtractor) + ├─────────────n─────────────> 'She was confirmed on August 5 , 2010 .' + └───n───> SUB/IDENTIFYING_DEFINITION ('', RestrictiveParticipialExtractor) + ├────────n────────> 'She was bringing the number of women .' + └───s───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) + ├───s───> 'This was to three justices for the first time .' + └───n───> 'Women were sitting simultaneously on the Court in American history .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# She was confirmed on August 5, 2010, bringing the number of women sitting simultaneously on the Court to three justices for the first time in American history. + +1875eff1fa544ee5b6aa09041075677c 0 She was confirmed on August 5 , 2010 . + +129662b2b4054485922bc529d4b8fb3a 0 She was bringing the number of women . + L:IDENTIFYING_DEFINITION cbfbd464fc0c497e8b1ca62f7960138b + +cbfbd464fc0c497e8b1ca62f7960138b 1 Women were sitting simultaneously on the Court in American history . + S:TEMPORAL This was to three justices for the first time . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 230/527 # + +'On March 30, 2010, Obama signed the Health Care and Education Reconciliation Act, a reconciliation bill that ended the process of the federal government giving subsidies to private banks to give out federally insured loans, increased the Pell Grant scholarship award, and made changes to the Patient Protection and Affordable Care Act.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/ELABORATION (NULL, NonRestrictiveAppositionExtractor) + ├───s───> SUB/IDENTIFYING_DEFINITION ('that', RestrictiveRelativeClauseWhoWhichExtractor) + | ├──────────────────n──────────────────> 'The Health Care and Education Reconciliation Act were a reconciliation bill .' + | └───s───> SUB/IDENTIFYING_DEFINITION ('', RestrictiveParticipialExtractor) + | ├─────────────n─────────────> 'A reconciliation bill ended the process of the federal government .' + | └───s───> SUB/PURPOSE (NULL, PurposePostExtractor) + | ├───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + | | ├───s───> 'This was to private banks .' + | | └───n───> 'The federal government was giving subsidies .' + | └────────s────────> 'This was to give out federally insured loans .' + └────────n────────> SUB/UNKNOWN_SUBORDINATION ('', SubordinationPostExtractor) + ├────────n────────> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + | ├───s───> 'This was on March 30 , 2010 .' + | └───n───> 'Obama signed .' + └───s───> CO/LIST (', and', SharedNPPostCoordinationExtractor) + ├────────n────────> 'The Health Care and Education Reconciliation Act increased the Pell Grant scholarship award .' + └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + ├───s───> 'This was to the Patient Protection and Affordable Care Act .' + └───n───> 'The Health Care and Education Reconciliation Act made changes .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# On March 30, 2010, Obama signed the Health Care and Education Reconciliation Act, a reconciliation bill that ended the process of the federal government giving subsidies to private banks to give out federally insured loans, increased the Pell Grant scholarship award, and made changes to the Patient Protection and Affordable Care Act. + +0f0d4a0f5bd1449d965905465246c362 0 Obama signed . + S:TEMPORAL This was on March 30 , 2010 . + L:UNKNOWN_SUBORDINATION 5e4671046dce40f3a58ab2eaba3805fe + L:UNKNOWN_SUBORDINATION 181a381854d94cedb70fdb205e19a59c + L:ELABORATION 32a38777fb6f45b09a5d5b90f149140c + +5e4671046dce40f3a58ab2eaba3805fe 1 The Health Care and Education Reconciliation Act increased the Pell Grant scholarship award . + L:LIST 181a381854d94cedb70fdb205e19a59c + +181a381854d94cedb70fdb205e19a59c 1 The Health Care and Education Reconciliation Act made changes . + S:UNKNOWN_SUBORDINATION This was to the Patient Protection and Affordable Care Act . + L:LIST 5e4671046dce40f3a58ab2eaba3805fe + +32a38777fb6f45b09a5d5b90f149140c 1 The Health Care and Education Reconciliation Act were a reconciliation bill . + L:IDENTIFYING_DEFINITION 01377b01351c411bad1a82bc303b987c + +01377b01351c411bad1a82bc303b987c 2 A reconciliation bill ended the process of the federal government . + L:IDENTIFYING_DEFINITION 66592eed42fa47cd9d451d9310ff4722 + +66592eed42fa47cd9d451d9310ff4722 3 The federal government was giving subsidies . + S:UNKNOWN_SUBORDINATION This was to private banks . + S:PURPOSE This was to give out federally insured loans . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 231/527 # + +'In a major space policy speech in April 2010, Obama announced a planned change in direction at NASA, the U.S. space agency.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/ELABORATION (NULL, NonRestrictiveAppositionExtractor) + ├──────────────────s──────────────────> 'NASA was the U.S. space agency .' + └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + ├─────────────s─────────────> 'This was in direction .' + └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + ├────────s────────> 'This was at NASA .' + └───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + ├───s───> 'This was in a major space policy speech in April 2010 .' + └───n───> 'Obama announced a planned change .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# In a major space policy speech in April 2010, Obama announced a planned change in direction at NASA, the U.S. space agency. + +3b4a84c0fe5846578e23b37a50f05aed 0 Obama announced a planned change . + S:TEMPORAL This was in a major space policy speech in April 2010 . + S:UNKNOWN_SUBORDINATION This was at NASA . + S:UNKNOWN_SUBORDINATION This was in direction . + L:ELABORATION 6e12042c6a484791a48f849951726a37 + +6e12042c6a484791a48f849951726a37 1 NASA was the U.S. space agency . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 232/527 # + +'He ended plans for a return of human spaceflight to the moon and development of the Ares I rocket, Ares V rocket and Constellation program, in favor of funding Earth science projects, a new rocket type, and research and development for an eventual manned mission to Mars, and ongoing missions to the International Space Station.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + ├───────────────────────s───────────────────────> 'This was for a return of human spaceflight .' + └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + ├─────────────s─────────────> CO/LIST (NULL, PostListNPExtractor) + | ├───n───> 'This was to the moon and development of the Ares I rocket .' + | ├───n───> 'This was to the moon and development of Ares V rocket .' + | └───n───> 'This was to the moon and development of Constellation program .' + └───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) + ├─────────────s─────────────> 'This was to the International Space Station .' + └───n───> SUB/SPATIAL (NULL, PrepositionalMiddleFinalExtractor) + ├───s───> CO/LIST (NULL, PostListNPExtractor) + | ├───n───> 'This was in favor of funding Earth science projects .' + | ├───n───> 'This was in favor of a new rocket type .' + | └───n───> 'This was in favor of research and development for an eventual manned mission to Mars , and ongoing missions .' + └────────n────────> 'He ended plans .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# He ended plans for a return of human spaceflight to the moon and development of the Ares I rocket, Ares V rocket and Constellation program, in favor of funding Earth science projects, a new rocket type, and research and development for an eventual manned mission to Mars, and ongoing missions to the International Space Station. + +560a67cae923473ca2664aa0c3e4ae76 0 He ended plans . + S:SPATIAL This was to the International Space Station . + S:UNKNOWN_SUBORDINATION This was for a return of human spaceflight . + L:SPATIAL 4d8668f3e7174fb2b73f0031324a8dbf + L:SPATIAL 31e4ab22ec2d4f0392868e4c81d338cd + L:SPATIAL df99e82cb1254e039557956614f51061 + L:UNKNOWN_SUBORDINATION 7f159c58c25e4580807ba431a9fc88a2 + L:UNKNOWN_SUBORDINATION 1c5627d20f054c08b870b524b1d47cff + L:UNKNOWN_SUBORDINATION 063f40f3aea14fd29c718f42597e408a + +4d8668f3e7174fb2b73f0031324a8dbf 1 This was in favor of funding Earth science projects . + L:LIST 31e4ab22ec2d4f0392868e4c81d338cd + L:LIST df99e82cb1254e039557956614f51061 + +31e4ab22ec2d4f0392868e4c81d338cd 1 This was in favor of a new rocket type . + L:LIST df99e82cb1254e039557956614f51061 + L:LIST 4d8668f3e7174fb2b73f0031324a8dbf + +df99e82cb1254e039557956614f51061 1 This was in favor of research and development for an eventual manned mission to Mars , and ongoing missions . + L:LIST 4d8668f3e7174fb2b73f0031324a8dbf + L:LIST 31e4ab22ec2d4f0392868e4c81d338cd + +7f159c58c25e4580807ba431a9fc88a2 1 This was to the moon and development of the Ares I rocket . + L:LIST 1c5627d20f054c08b870b524b1d47cff + L:LIST 063f40f3aea14fd29c718f42597e408a + +1c5627d20f054c08b870b524b1d47cff 1 This was to the moon and development of Ares V rocket . + L:LIST 063f40f3aea14fd29c718f42597e408a + L:LIST 7f159c58c25e4580807ba431a9fc88a2 + +063f40f3aea14fd29c718f42597e408a 1 This was to the moon and development of Constellation program . + L:LIST 7f159c58c25e4580807ba431a9fc88a2 + L:LIST 1c5627d20f054c08b870b524b1d47cff + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 233/527 # + +'President Obama's 2011 State of the Union Address focused on themes of education and innovation, stressing the importance of innovation economics to make the United States more competitive globally.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) + ├─────────────s─────────────> 'Obama was President .' + └───n───> CO/UNKNOWN_COORDINATION (NULL, SharedNPPostParticipalExtractor) + ├────────n────────> 'Obama 's 2011 State of the Union Address focused on themes of education and innovation .' + └───n───> SUB/PURPOSE (NULL, PurposePostExtractor) + ├───n───> 'Obama 's 2011 State of the Union Address were stressing the importance of innovation economics .' + └───s───> 'This was to make the United States more competitive globally .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# President Obama's 2011 State of the Union Address focused on themes of education and innovation, stressing the importance of innovation economics to make the United States more competitive globally. + +8dc180dc21184742b6a0a6218bfe8d8f 0 Obama 's 2011 State of the Union Address focused on themes of education and innovation . + L:ELABORATION f7f4f6d8e2134259b04661db9fbbe5b3 + +800446f555414364a4578e690631aa9d 0 Obama 's 2011 State of the Union Address were stressing the importance of innovation economics . + S:PURPOSE This was to make the United States more competitive globally . + L:ELABORATION f7f4f6d8e2134259b04661db9fbbe5b3 + +f7f4f6d8e2134259b04661db9fbbe5b3 1 Obama was President . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 234/527 # + +'He spoke of a five-year freeze in domestic spending, eliminating tax breaks for oil companies and reversing tax cuts for the wealthiest Americans, banning congressional earmarks, and reducing healthcare costs.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> CO/UNKNOWN_COORDINATION (NULL, SharedNPPostParticipalExtractor) + ├────────n────────> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + | ├───s───> 'This was in domestic spending .' + | └───n───> 'He spoke of a five-year freeze .' + └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + ├────────s────────> 'This was for oil companies .' + └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + ├───s───> 'This was for the wealthiest Americans .' + └───n───> 'He was eliminating tax breaks and reversing tax cuts , banning congressional earmarks , and reducing healthcare costs .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# He spoke of a five-year freeze in domestic spending, eliminating tax breaks for oil companies and reversing tax cuts for the wealthiest Americans, banning congressional earmarks, and reducing healthcare costs. + +753e0f548e2d468f8f65e06bc41c4285 0 He spoke of a five-year freeze . + S:UNKNOWN_SUBORDINATION This was in domestic spending . + +7708235b6f95435285333f041b21723b 0 He was eliminating tax breaks and reversing tax cuts , banning congressional earmarks , and reducing healthcare costs . + S:UNKNOWN_SUBORDINATION This was for the wealthiest Americans . + S:UNKNOWN_SUBORDINATION This was for oil companies . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 235/527 # + +'He promised that the United States would have one million electric vehicles on the road by 2015 and would be 80% reliant on clean electricity.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> CO/LIST ('and', SharedNPPostCoordinationExtractor) + ├───n───> SUB/UNKNOWN_SUBORDINATION ('that', SubordinationPostExtractor) + | ├────────n────────> 'He promised .' + | └───s───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) + | ├───s───> 'This is by 2015 .' + | └───n───> 'The United States would have one million electric vehicles on the road .' + └─────────────n─────────────> 'He would be 80 % reliant on clean electricity .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# He promised that the United States would have one million electric vehicles on the road by 2015 and would be 80% reliant on clean electricity. + +f1b88f12a6aa47968a2b65cb357d81e8 0 He promised . + L:UNKNOWN_SUBORDINATION 92284c40f8e0400a8e513ee2e8772ce4 + L:LIST 787f3a23e0fd420280488444a6ca24cd + +92284c40f8e0400a8e513ee2e8772ce4 1 The United States would have one million electric vehicles on the road . + S:TEMPORAL This is by 2015 . + +787f3a23e0fd420280488444a6ca24cd 0 He would be 80 % reliant on clean electricity . + L:LIST f1b88f12a6aa47968a2b65cb357d81e8 + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 236/527 # + +'On October 8, 2009, Obama signed the Matthew Shepard and James Byrd Jr.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + ├────────s────────> 'This was on October 8 , 2009 .' + └───n───> CO/LIST (NULL, PostListNPExtractor) + ├───n───> 'Obama signed the Matthew Shepard .' + └───n───> 'Obama signed James Byrd Jr. .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# On October 8, 2009, Obama signed the Matthew Shepard and James Byrd Jr. + +052a9ead07c24830b7bc405c7dc357be 0 Obama signed the Matthew Shepard . + S:TEMPORAL This was on October 8 , 2009 . + L:LIST 81d7d90107824aca8e088594018f2a6d + +81d7d90107824aca8e088594018f2a6d 0 Obama signed James Byrd Jr. . + S:TEMPORAL This was on October 8 , 2009 . + L:LIST 052a9ead07c24830b7bc405c7dc357be + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 237/527 # + +'Hate Crimes Prevention Act, a measure that expanded the 1969 United States federal hate-crime law to include crimes motivated by a victim's actual or perceived gender, sexual orientation, gender identity, or disability.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> 'Hate Crimes Prevention Act , a measure that expanded the 1969 United States federal hate-crime law to include crimes motivated by a victim 's actual or perceived gender , sexual orientation , gender identity , or disability .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# Hate Crimes Prevention Act, a measure that expanded the 1969 United States federal hate-crime law to include crimes motivated by a victim's actual or perceived gender, sexual orientation, gender identity, or disability. + +fc41379956204237885380a16f8b8617 0 Hate Crimes Prevention Act , a measure that expanded the 1969 United States federal hate-crime law to include crimes motivated by a victim 's actual or perceived gender , sexual orientation , gender identity , or disability . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 238/527 # + +'On October 30, 2009, Obama lifted the ban on travel to the United States by those infected with HIV, which was celebrated by Immigration Equality.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/DESCRIBING_DEFINITION ('which', NonRestrictiveRelativeClauseWhoWhichExtractor) + ├───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + | ├──────────────────s──────────────────> 'This was on travel .' + | └───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) + | ├─────────────s─────────────> 'This was to the United States .' + | └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + | ├───s───> SUB/IDENTIFYING_DEFINITION ('', RestrictiveParticipialExtractor) + | | ├───n───> 'This was by those .' + | | └───s───> 'Those was infected with HIV .' + | └───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + | ├───s───> 'This was on October 30 , 2009 .' + | └───n───> 'Obama lifted the ban .' + └───────────────────────s───────────────────────> 'HIV was celebrated by Immigration Equality .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# On October 30, 2009, Obama lifted the ban on travel to the United States by those infected with HIV, which was celebrated by Immigration Equality. + +99d08bdc85fa484b8904ffe234bef20d 0 Obama lifted the ban . + S:TEMPORAL This was on October 30 , 2009 . + S:SPATIAL This was to the United States . + S:UNKNOWN_SUBORDINATION This was on travel . + L:UNKNOWN_SUBORDINATION 6f6767e93efa4655b249237489caa0a7 + L:DESCRIBING_DEFINITION d8a3b90758374d9f9b4b838199ec9a50 + +6f6767e93efa4655b249237489caa0a7 1 This was by those . + L:IDENTIFYING_DEFINITION 0711aac5443e4d8587a051ae3c580c86 + +0711aac5443e4d8587a051ae3c580c86 2 Those was infected with HIV . + +d8a3b90758374d9f9b4b838199ec9a50 1 HIV was celebrated by Immigration Equality . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 239/527 # + +'On December 22, 2010, Obama signed the Don't Ask, Don't Tell Repeal Act of 2010, which fulfilled a key promise made in the 2008 presidential campaign to end the Don't ask, don't tell policy of 1993 that had prevented gay and lesbian people from serving openly in the United States Armed Forces.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> 'On December 22 , 2010 , Obama signed the Do n't Ask , Do n't Tell Repeal Act of 2010 , which fulfilled a key promise made in the 2008 presidential campaign to end the Do n't ask , do n't tell policy of 1993 that had prevented gay and lesbian people from serving openly in the United States Armed Forces .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# On December 22, 2010, Obama signed the Don't Ask, Don't Tell Repeal Act of 2010, which fulfilled a key promise made in the 2008 presidential campaign to end the Don't ask, don't tell policy of 1993 that had prevented gay and lesbian people from serving openly in the United States Armed Forces. + +fe8dd6d57f3943138b99de8a6a1724ee 0 On December 22 , 2010 , Obama signed the Do n't Ask , Do n't Tell Repeal Act of 2010 , which fulfilled a key promise made in the 2008 presidential campaign to end the Do n't ask , do n't tell policy of 1993 that had prevented gay and lesbian people from serving openly in the United States Armed Forces . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 240/527 # + +'In 2016, the Pentagon ended the policy that also barred transgender people from serving openly in the military.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/IDENTIFYING_DEFINITION ('that', RestrictiveRelativeClauseWhoWhichExtractor) + ├───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + | ├───s───> 'This was in 2016 .' + | └───n───> 'The Pentagon ended the policy .' + └───s───> CO/UNKNOWN_COORDINATION (NULL, SharedNPPostParticipalExtractor) + ├───n───> 'The policy also barred transgender people .' + └───n───> 'The policy also was serving openly in the military .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# In 2016, the Pentagon ended the policy that also barred transgender people from serving openly in the military. + +c4bf56177972409d816f7a355c8772f8 0 The Pentagon ended the policy . + S:TEMPORAL This was in 2016 . + L:IDENTIFYING_DEFINITION d368ed335b5e4073aa3c73704db5a232 + L:IDENTIFYING_DEFINITION d694130fa6ed417cafe894ea17df4bc9 + +d368ed335b5e4073aa3c73704db5a232 1 The policy also barred transgender people . + +d694130fa6ed417cafe894ea17df4bc9 1 The policy also was serving openly in the military . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 241/527 # + +'As a candidate for the Illinois state senate in 1996, Obama had said that he favored legalizing same-sex marriage.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/ATTRIBUTION (NULL, SubordinationPostAttributionExtractor2) + ├───s───> 'This was what Obama had said as a candidate for the Illinois state senate in 1996 .' + └───n───> 'He favored legalizing same-sex marriage .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# As a candidate for the Illinois state senate in 1996, Obama had said that he favored legalizing same-sex marriage. + +f028e625fbac49caa678b8da6aab23a2 0 He favored legalizing same-sex marriage . + S:ATTRIBUTION This was what Obama had said as a candidate for the Illinois state senate in 1996 . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 242/527 # + +'By the time of his Senate run in 2004, he said that he supported civil unions and domestic partnerships for same-sex partners, but he opposed same-sex marriages for strategic reasons.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> CO/CONTRAST (', but', CoordinationExtractor) + ├───n───> SUB/ATTRIBUTION (NULL, SubordinationPostAttributionExtractor2) + | ├─────────────s─────────────> 'This was what he said by the time of his Senate run in 2004 .' + | └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + | ├────────s────────> 'This was for same-sex partners .' + | └───n───> CO/LIST (NULL, PostListNPExtractor) + | ├───n───> 'He supported civil unions .' + | └───n───> 'He supported domestic partnerships .' + └─────────────n─────────────> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + ├───s───> 'This was for strategic reasons .' + └───n───> 'He opposed same-sex marriages .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# By the time of his Senate run in 2004, he said that he supported civil unions and domestic partnerships for same-sex partners, but he opposed same-sex marriages for strategic reasons. + +3252db5527504812ba1c83d0e9297e41 0 He supported civil unions . + S:UNKNOWN_SUBORDINATION This was for same-sex partners . + S:ATTRIBUTION This was what he said by the time of his Senate run in 2004 . + L:LIST 06163110c2194a889ffda1a27b9e9374 + L:CONTRAST 7ed61be487194b43ad6bac18d4ea0d53 + +06163110c2194a889ffda1a27b9e9374 0 He supported domestic partnerships . + S:UNKNOWN_SUBORDINATION This was for same-sex partners . + S:ATTRIBUTION This was what he said by the time of his Senate run in 2004 . + L:LIST 3252db5527504812ba1c83d0e9297e41 + L:CONTRAST 7ed61be487194b43ad6bac18d4ea0d53 + +7ed61be487194b43ad6bac18d4ea0d53 0 He opposed same-sex marriages . + S:UNKNOWN_SUBORDINATION This was for strategic reasons . + L:CONTRAST 3252db5527504812ba1c83d0e9297e41 + L:CONTRAST 06163110c2194a889ffda1a27b9e9374 + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 243/527 # + +'On May 9, 2012, shortly after the official launch of his campaign for re-election as president, Obama said his views had evolved, and he publicly affirmed his personal support for the legalization of same-sex marriage, becoming the first sitting U.S. president to do so.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> CO/LIST (', and', CoordinationExtractor) + ├─────────────n─────────────> SUB/ATTRIBUTION (NULL, SubordinationPostAttributionExtractor) + | ├───s───> 'This was what Obama said on May 9 , 2012 .' + | └───n───> 'His views had evolved .' + └───n───> CO/UNKNOWN_COORDINATION (NULL, SharedNPPostParticipalExtractor) + ├───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + | ├────────s────────> 'This was for the legalization of same-sex marriage .' + | └───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + | ├───s───> 'This was on May 9 , 2012 .' + | └───n───> 'He publicly affirmed his personal support .' + └───n───> SUB/PURPOSE (NULL, PurposePostExtractor) + ├───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + | ├───s───> 'This was on May 9 , 2012 .' + | └───n───> 'He publicly was becoming the first sitting U.S. president .' + └────────s────────> 'This was to do so .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# On May 9, 2012, shortly after the official launch of his campaign for re-election as president, Obama said his views had evolved, and he publicly affirmed his personal support for the legalization of same-sex marriage, becoming the first sitting U.S. president to do so. + +8700cf77e9094617bb1c2daa7d39de7f 0 His views had evolved . + S:ATTRIBUTION This was what Obama said on May 9 , 2012 . + L:LIST d69ebb81b5d845f297da7f9c1f88f4db + L:LIST de24a820f1124b86852419838894ab63 + +d69ebb81b5d845f297da7f9c1f88f4db 0 He publicly affirmed his personal support . + S:TEMPORAL This was on May 9 , 2012 . + S:UNKNOWN_SUBORDINATION This was for the legalization of same-sex marriage . + L:LIST 8700cf77e9094617bb1c2daa7d39de7f + +de24a820f1124b86852419838894ab63 0 He publicly was becoming the first sitting U.S. president . + S:TEMPORAL This was on May 9 , 2012 . + S:PURPOSE This was to do so . + L:LIST 8700cf77e9094617bb1c2daa7d39de7f + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 244/527 # + +'The White House was illuminated in rainbow colors on the evening of the Supreme Court same-sex marriage ruling, June 26, 2015.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) + ├───s───> 'This was on the evening of the Supreme Court same-sex marriage ruling , June 26 , 2015 .' + └───n───> 'The White House was illuminated in rainbow colors .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# The White House was illuminated in rainbow colors on the evening of the Supreme Court same-sex marriage ruling, June 26, 2015. + +463f0bc59c264fe0a19da0780ad9e9b5 0 The White House was illuminated in rainbow colors . + S:TEMPORAL This was on the evening of the Supreme Court same-sex marriage ruling , June 26 , 2015 . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 245/527 # + +'During his second inaugural address on January 21, 2013, Obama became the first U.S. President in office to call for full equality for gay Americans: Our journey is not complete until our gay brothers and sisters are treated like anyone else under the law – for if we are truly created equal, then surely the love we commit to one another must be equal as well.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> CO/UNKNOWN_COORDINATION (NULL, CoordinationExtractor) + ├───n───> SUB/PURPOSE (NULL, PurposePostExtractor) + | ├───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + | | ├────────s────────> 'This was in office .' + | | └───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + | | ├───s───> 'This was during his second inaugural address on January 21 , 2013 .' + | | └───n───> 'Obama became the first U.S. President .' + | └─────────────s─────────────> 'This was to call for full equality for gay Americans .' + ├───n───> SUB/CONDITION ('until', SubordinationPostExtractor) + | ├─────────────n─────────────> 'Our journey is not complete .' + | └───s───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + | ├────────s────────> 'This was under the law .' + | └───n───> CO/LIST (NULL, PreListNPExtractor) + | ├───n───> 'Our gay brothers are treated like anyone else .' + | └───n───> 'Sisters are treated like anyone else .' + └────────n────────> SUB/UNKNOWN_SUBORDINATION ('For', SubordinationPreExtractor) + ├───s───> SUB/CONDITION ('If', SubordinationPreExtractor) + | ├───s───> 'We are truly created equal .' + | └───n───> 'Then surely the love we commit to one .' + └────────n────────> 'Another must be equal as well .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# During his second inaugural address on January 21, 2013, Obama became the first U.S. President in office to call for full equality for gay Americans: Our journey is not complete until our gay brothers and sisters are treated like anyone else under the law – for if we are truly created equal, then surely the love we commit to one another must be equal as well. + +62c2c8462eb74837b36b430eff9efa4a 0 Obama became the first U.S. President . + S:TEMPORAL This was during his second inaugural address on January 21 , 2013 . + S:UNKNOWN_SUBORDINATION This was in office . + S:PURPOSE This was to call for full equality for gay Americans . + +22abbc1914604450835a2169661e74c7 0 Our journey is not complete . + L:CONDITION 16759d8f22614278be1d5aebd028c81d + L:CONDITION 43f23b50dfdf49b29cd7318ba590a840 + +16759d8f22614278be1d5aebd028c81d 1 Our gay brothers are treated like anyone else . + S:UNKNOWN_SUBORDINATION This was under the law . + L:LIST 43f23b50dfdf49b29cd7318ba590a840 + +43f23b50dfdf49b29cd7318ba590a840 1 Sisters are treated like anyone else . + S:UNKNOWN_SUBORDINATION This was under the law . + L:LIST 16759d8f22614278be1d5aebd028c81d + +612ca503712c4fe9823f0b7c90935129 0 Another must be equal as well . + L:UNKNOWN_SUBORDINATION 3e1949a005ba4ea3af5c4291f6762f80 + +3e1949a005ba4ea3af5c4291f6762f80 1 Then surely the love we commit to one . + L:CONDITION e1fffaed4f684ff685dbd15d7a2e9869 + +e1fffaed4f684ff685dbd15d7a2e9869 2 We are truly created equal . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 246/527 # + +'This was the first time that a president mentioned gay rights or the word gay in an inaugural address.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/UNKNOWN_SUBORDINATION ('that', SubordinationPostExtractor) + ├─────────────n─────────────> 'This was the first time .' + └───s───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + ├────────s────────> 'This was in an inaugural address .' + └───n───> CO/DISJUNCTION (NULL, PostListNPExtractor) + ├───n───> 'A president mentioned gay rights .' + └───n───> 'A president mentioned the word gay .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# This was the first time that a president mentioned gay rights or the word gay in an inaugural address. + +554c1c3069094ee8aded177900fdd090 0 This was the first time . + L:UNKNOWN_SUBORDINATION 67fa0ab1e7594aa385f00d2fafcf3c13 + L:UNKNOWN_SUBORDINATION 22f3ad62177444a883f81e6e3445f38d + +67fa0ab1e7594aa385f00d2fafcf3c13 1 A president mentioned gay rights . + S:UNKNOWN_SUBORDINATION This was in an inaugural address . + L:DISJUNCTION 22f3ad62177444a883f81e6e3445f38d + +22f3ad62177444a883f81e6e3445f38d 1 A president mentioned the word gay . + S:UNKNOWN_SUBORDINATION This was in an inaugural address . + L:DISJUNCTION 67fa0ab1e7594aa385f00d2fafcf3c13 + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 247/527 # + +'In 2013, the Obama Administration filed briefs that urged the Supreme Court to rule in favor of same-sex couples in the cases of Hollingsworth v. Perry (regarding same-sex marriage) and United States v. Windsor (regarding the Defense of Marriage Act).' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/IDENTIFYING_DEFINITION ('that', RestrictiveRelativeClauseWhoWhichExtractor) + ├───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + | ├───s───> 'This was in 2013 .' + | └───n───> 'The Obama Administration filed briefs .' + └───s───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) + ├───s───> 'This was in the cases of Hollingsworth v. Perry -LRB- regarding same-sex marriage -RRB- and United States v. Windsor -LRB- regarding the Defense of Marriage Act -RRB- .' + └───n───> 'Briefs urged the Supreme Court to rule in favor of same-sex couples .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# In 2013, the Obama Administration filed briefs that urged the Supreme Court to rule in favor of same-sex couples in the cases of Hollingsworth v. Perry (regarding same-sex marriage) and United States v. Windsor (regarding the Defense of Marriage Act). + +9e5648ac4a934dc5aeff0f1b5e3f4162 0 The Obama Administration filed briefs . + S:TEMPORAL This was in 2013 . + L:IDENTIFYING_DEFINITION 9c35ff6d4aa5405ba966115eed9b6fa4 + +9c35ff6d4aa5405ba966115eed9b6fa4 1 Briefs urged the Supreme Court to rule in favor of same-sex couples . + S:SPATIAL This was in the cases of Hollingsworth v. Perry -LRB- regarding same-sex marriage -RRB- and United States v. Windsor -LRB- regarding the Defense of Marriage Act -RRB- . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 248/527 # + +'Then, following the Supreme Court's 2015 decision in Obergefell v. Hodges (ruling same-sex marriage to be a fundamental right), Obama asserted that, This decision affirms what millions of Americans already believe in their hearts: When all Americans are treated as equal we are all more free.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> CO/UNKNOWN_COORDINATION (':', CoordinationExtractor) + ├───n───> SUB/ATTRIBUTION (NULL, SubordinationPostAttributionExtractor2) + | ├────────s────────> 'This was what Obama asserted following the Supreme Court 's 2015 decision in Obergefell v. Hodges -LRB- ruling same-sex marriage to be a fundamental right -RRB- .' + | └───n───> SUB/ATTRIBUTION (NULL, SubordinationPostAttributionExtractor) + | ├───s───> 'This is what this decision affirms .' + | └───n───> 'What millions of Americans already believe in their hearts .' + └────────n────────> SUB/BACKGROUND ('When', SubordinationPreExtractor) + ├───s───> 'All Americans are treated as equal .' + └───n───> 'We are all more free .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# Then, following the Supreme Court's 2015 decision in Obergefell v. Hodges (ruling same-sex marriage to be a fundamental right), Obama asserted that, This decision affirms what millions of Americans already believe in their hearts: When all Americans are treated as equal we are all more free. + +fb38bf1c04d0460492f92b39d145b972 0 What millions of Americans already believe in their hearts . + S:ATTRIBUTION This is what this decision affirms . + S:ATTRIBUTION This was what Obama asserted following the Supreme Court 's 2015 decision in Obergefell v. Hodges -LRB- ruling same-sex marriage to be a fundamental right -RRB- . + +1666572db0d14aa7975ecec834ed2d24 0 We are all more free . + L:BACKGROUND 3f322369826b4e9aa25ece8a60296ddc + +3f322369826b4e9aa25ece8a60296ddc 1 All Americans are treated as equal . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 249/527 # + +'On July 30, 2015, the White House Office of National AIDS Policy revised its strategy for addressing the disease, which included widespread testing and linkage to healthcare, which was celebrated by the Human Rights Campaign.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/DESCRIBING_DEFINITION ('which', NonRestrictiveRelativeClauseWhoWhichExtractor) + ├───n───> CO/UNKNOWN_COORDINATION (NULL, SharedNPPostParticipalExtractor) + | ├───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + | | ├───s───> 'This was on July 30 , 2015 .' + | | └───n───> 'The White House Office of National AIDS Policy revised its strategy .' + | └───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + | ├───s───> 'This was on July 30 , 2015 .' + | └───n───> 'The White House Office of National AIDS Policy was addressing the disease .' + └───s───> SUB/DESCRIBING_DEFINITION ('which', NonRestrictiveRelativeClauseWhoWhichExtractor) + ├───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + | ├───s───> 'This was to healthcare .' + | └───n───> 'The disease included widespread testing and linkage .' + └────────s────────> 'Healthcare was celebrated by the Human Rights Campaign .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# On July 30, 2015, the White House Office of National AIDS Policy revised its strategy for addressing the disease, which included widespread testing and linkage to healthcare, which was celebrated by the Human Rights Campaign. + +f8206cf760f247c9a74f2f0ba9aefa7a 0 The White House Office of National AIDS Policy revised its strategy . + S:TEMPORAL This was on July 30 , 2015 . + L:DESCRIBING_DEFINITION 890861d44228424b90c03cd8edf94b71 + +3dd6deaf942f46dfa1653e3376e83ef1 0 The White House Office of National AIDS Policy was addressing the disease . + S:TEMPORAL This was on July 30 , 2015 . + L:DESCRIBING_DEFINITION 890861d44228424b90c03cd8edf94b71 + +890861d44228424b90c03cd8edf94b71 1 The disease included widespread testing and linkage . + S:UNKNOWN_SUBORDINATION This was to healthcare . + L:DESCRIBING_DEFINITION 1c3e12f1d9c84377a5a385d1dd9b7853 + +1c3e12f1d9c84377a5a385d1dd9b7853 2 Healthcare was celebrated by the Human Rights Campaign . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 250/527 # + +'On March 11, 2009, Obama created the White House Council on Women and Girls, which formed part of the Office of Intergovernmental Affairs, having been established by Executive Order 13506 with a broad mandate to advise him on issues relating to the welfare of American women and girls.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/DESCRIBING_DEFINITION ('which', NonRestrictiveRelativeClauseWhoWhichExtractor) + ├─────────────n─────────────> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + | ├───s───> 'This was on March 11 , 2009 .' + | └───n───> 'Obama created the White House Council on Women and Girls .' + └───s───> CO/UNKNOWN_COORDINATION (NULL, SharedNPPostParticipalExtractor) + ├─────────────n─────────────> 'The White House Council on Women and Girls formed part of the Office of Intergovernmental Affairs .' + └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + ├───s───> SUB/IDENTIFYING_DEFINITION ('', RestrictiveParticipialExtractor) + | ├───n───> 'This was on issues .' + | └───s───> 'Issues were relating to the welfare of American women and girls .' + └────────n────────> 'The White House Council on Women and Girls were having been established by Executive Order 13506 with a broad mandate to advise him .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# On March 11, 2009, Obama created the White House Council on Women and Girls, which formed part of the Office of Intergovernmental Affairs, having been established by Executive Order 13506 with a broad mandate to advise him on issues relating to the welfare of American women and girls. + +9d66237ee824401295bdcc7f16777107 0 Obama created the White House Council on Women and Girls . + S:TEMPORAL This was on March 11 , 2009 . + L:DESCRIBING_DEFINITION 84bfb564c89c4c89ab26e1783888aa7f + L:DESCRIBING_DEFINITION a6b415434da34fe2b8ba25faefc0651a + +84bfb564c89c4c89ab26e1783888aa7f 1 The White House Council on Women and Girls formed part of the Office of Intergovernmental Affairs . + +a6b415434da34fe2b8ba25faefc0651a 1 The White House Council on Women and Girls were having been established by Executive Order 13506 with a broad mandate to advise him . + L:UNKNOWN_SUBORDINATION a54f4214a90e4e5eb4c35d44bae8d58c + +a54f4214a90e4e5eb4c35d44bae8d58c 2 This was on issues . + L:IDENTIFYING_DEFINITION 1af6e0b593824a729a08416d45a8ecb2 + +1af6e0b593824a729a08416d45a8ecb2 3 Issues were relating to the welfare of American women and girls . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 251/527 # + +'The Council was chaired by Senior Advisor to the President Valerie Jarrett.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) + ├────────s────────> 'Valerie Jarrett was the President .' + └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + ├───s───> 'This was to Valerie Jarrett .' + └───n───> 'The Council was chaired by Senior Advisor .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# The Council was chaired by Senior Advisor to the President Valerie Jarrett. + +4439a11150bb4735bcae36e1336b3d66 0 The Council was chaired by Senior Advisor . + S:UNKNOWN_SUBORDINATION This was to Valerie Jarrett . + L:ELABORATION 49a0194aa6a54b7bbba4c6ab77a10712 + +49a0194aa6a54b7bbba4c6ab77a10712 1 Valerie Jarrett was the President . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 252/527 # + +'Obama also established the White House Task Force to Protect Students from Sexual Assault through a government memorandum on January 22, 2014, with a broad mandate to advise him on issues relating to sexual assault on college and university campuses throughout the United States.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + ├───────────────────────s───────────────────────> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + | ├───s───> 'This was from Sexual Assault .' + | └───n───> 'This was to Protect Students .' + └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + ├───────────────────────s───────────────────────> 'This was through a government memorandum .' + └───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) + ├──────────────────s──────────────────> 'This was on January 22 , 2014 .' + └───n───> SUB/IDENTIFYING_DEFINITION ('', RestrictiveParticipialExtractor) + ├───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalMiddleFinalExtractor) + | ├───s───> SUB/PURPOSE (NULL, PurposePostExtractor) + | | ├───n───> 'This was with a broad mandate .' + | | └───s───> 'This was to advise him on issues .' + | └────────n────────> 'Obama also established the White House Task Force .' + └────────s────────> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) + ├───s───> 'This was throughout the United States .' + └───n───> 'Issues were relating to sexual assault on college and university campuses .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# Obama also established the White House Task Force to Protect Students from Sexual Assault through a government memorandum on January 22, 2014, with a broad mandate to advise him on issues relating to sexual assault on college and university campuses throughout the United States. + +420164386b474d04ad889458e5813c30 0 Obama also established the White House Task Force . + S:TEMPORAL This was on January 22 , 2014 . + S:UNKNOWN_SUBORDINATION This was through a government memorandum . + L:UNKNOWN_SUBORDINATION c308b550650b4164a6dd3f833cafb7e1 + L:IDENTIFYING_DEFINITION ac33688809224a3dad25a71e7527f940 + L:UNKNOWN_SUBORDINATION e8d62583371248f79d8f4b4d4afca350 + +c308b550650b4164a6dd3f833cafb7e1 1 This was with a broad mandate . + S:PURPOSE This was to advise him on issues . + +ac33688809224a3dad25a71e7527f940 1 Issues were relating to sexual assault on college and university campuses . + S:SPATIAL This was throughout the United States . + +e8d62583371248f79d8f4b4d4afca350 1 This was to Protect Students . + S:UNKNOWN_SUBORDINATION This was from Sexual Assault . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 253/527 # + +'The co-chairs of the Task Force were Vice President Joe Biden and Jarrett.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) + ├────────s────────> 'Joe Biden was Vice President .' + └───n───> CO/LIST (NULL, PostListNPExtractor) + ├───n───> 'The co-chairs of the Task Force were Joe Biden .' + └───n───> 'The co-chairs of the Task Force were Jarrett .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# The co-chairs of the Task Force were Vice President Joe Biden and Jarrett. + +a46e70c308294273a831a5aacbc3bb09 0 The co-chairs of the Task Force were Joe Biden . + L:LIST 1c57a1f585d94c1e90f34e506938da8d + L:ELABORATION 9ff5681e90044753932a2d90bc4ff7e4 + +1c57a1f585d94c1e90f34e506938da8d 0 The co-chairs of the Task Force were Jarrett . + L:LIST a46e70c308294273a831a5aacbc3bb09 + L:ELABORATION 9ff5681e90044753932a2d90bc4ff7e4 + +9ff5681e90044753932a2d90bc4ff7e4 1 Joe Biden was Vice President . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 254/527 # + +'The Task Force was a development out of the White House Council on Women and Girls and Office of the Vice President of the United States, and prior to that, the 1994 Violence Against Women Act that was first drafted by Biden.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/ELABORATION (NULL, NonRestrictiveAppositionExtractor) + ├────────s────────> 'That was the 1994 Violence .' + └───n───> CO/LIST (NULL, PostListNPExtractor) + ├───n───> 'The Task Force was a development out of the White House Council on Women and Girls , and prior to that Against Women Act that was first drafted by Biden .' + └───n───> 'The Task Force was a development out of Office of the Vice President of the United States , and prior to that Against Women Act that was first drafted by Biden .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# The Task Force was a development out of the White House Council on Women and Girls and Office of the Vice President of the United States, and prior to that, the 1994 Violence Against Women Act that was first drafted by Biden. + +efc31020355a4edda25c0699c4190e46 0 The Task Force was a development out of the White House Council on Women and Girls , and prior to that Against Women Act that was first drafted by Biden . + L:LIST 1f504ada4892493c935e5378dfd8a960 + L:ELABORATION 9aee3c4d86be45b7944838e98b8c159a + +1f504ada4892493c935e5378dfd8a960 0 The Task Force was a development out of Office of the Vice President of the United States , and prior to that Against Women Act that was first drafted by Biden . + L:LIST efc31020355a4edda25c0699c4190e46 + L:ELABORATION 9aee3c4d86be45b7944838e98b8c159a + +9aee3c4d86be45b7944838e98b8c159a 1 That was the 1994 Violence . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 255/527 # + +'Obama presents his first weekly address as President of the United States on January 24, 2009, discussing the American Recovery and Reinvestment Act of 2009' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> CO/UNKNOWN_COORDINATION (NULL, SharedNPPostParticipalExtractor) + ├───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) + | ├────────s────────> 'This is as President of the United States .' + | └───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) + | ├───s───> 'This is on January 24 , 2009 .' + | └───n───> 'Obama presents his first weekly address .' + └─────────────n─────────────> 'Obama is discussing the American Recovery and Reinvestment Act of 2009 .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# Obama presents his first weekly address as President of the United States on January 24, 2009, discussing the American Recovery and Reinvestment Act of 2009 + +d67469a1dcb740db8131b60cf0062793 0 Obama presents his first weekly address . + S:TEMPORAL This is on January 24 , 2009 . + S:SPATIAL This is as President of the United States . + +b85e5ebb4ade494c9de0c90e09a90619 0 Obama is discussing the American Recovery and Reinvestment Act of 2009 . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 256/527 # + +'On February 17, 2009, Obama signed the American Recovery and Reinvestment Act of 2009, a $787 billion economic stimulus package aimed at helping the economy recover from the deepening worldwide recession.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/ELABORATION (NULL, NonRestrictiveAppositionExtractor) + ├───s───> SUB/IDENTIFYING_DEFINITION ('', RestrictiveParticipialExtractor) + | ├────────n────────> '2009 was a $ 787 billion economic stimulus package .' + | └───s───> SUB/IDENTIFYING_DEFINITION ('', RestrictiveRelativeClauseWithoutRelativePronounExtractor) + | ├───n───> 'A $ 787 billion economic stimulus package recover from the deepening worldwide recession .' + | └───s───> 'Was aimed at helping the economy A $ 787 billion economic stimulus package .' + └────────n────────> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + ├───s───> 'This was on February 17 , 2009 .' + └───n───> 'Obama signed the American Recovery and Reinvestment Act of 2009 .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# On February 17, 2009, Obama signed the American Recovery and Reinvestment Act of 2009, a $787 billion economic stimulus package aimed at helping the economy recover from the deepening worldwide recession. + +faba1dfc746d4f7bbf335a098f5536cd 0 Obama signed the American Recovery and Reinvestment Act of 2009 . + S:TEMPORAL This was on February 17 , 2009 . + L:ELABORATION 4ff13108cb3343a8be9ee72f534bcc58 + +4ff13108cb3343a8be9ee72f534bcc58 1 2009 was a $ 787 billion economic stimulus package . + L:IDENTIFYING_DEFINITION ab63869584624f4e818e3f4bf3338f0b + +ab63869584624f4e818e3f4bf3338f0b 2 A $ 787 billion economic stimulus package recover from the deepening worldwide recession . + L:IDENTIFYING_DEFINITION ff8a13f3917a4e2d855db41a9000b65a + +ff8a13f3917a4e2d855db41a9000b65a 3 Was aimed at helping the economy A $ 787 billion economic stimulus package . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 257/527 # + +'The act includes increased federal spending for health care, infrastructure, education, various tax breaks and incentives, and direct assistance to individuals.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> 'The act includes increased federal spending for health care , infrastructure , education , various tax breaks and incentives , and direct assistance to individuals .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# The act includes increased federal spending for health care, infrastructure, education, various tax breaks and incentives, and direct assistance to individuals. + +371b07e3ba284f8492ec99130c1bfacf 0 The act includes increased federal spending for health care , infrastructure , education , various tax breaks and incentives , and direct assistance to individuals . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 258/527 # + +'In March, Obama's Treasury Secretary, Timothy Geithner, took further steps to manage the financial crisis, including introducing the Public–Private Investment Program for Legacy Assets, which contains provisions for buying up to two trillion dollars in depreciated real estate assets.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/DESCRIBING_DEFINITION ('which', NonRestrictiveRelativeClauseWhoWhichExtractor) + ├───n───> SUB/ELABORATION (NULL, NonRestrictiveAppositionExtractor) + | ├─────────────s─────────────> 'Obama 's Treasury Secretary was Timothy Geithner .' + | └───n───> SUB/PURPOSE (NULL, PurposePostExtractor) + | ├───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalInitialExtractor) + | | ├───s───> 'This was in March .' + | | └───n───> 'Obama 's Treasury Secretary took further steps .' + | └────────s────────> 'This was to manage the financial crisis , including introducing the Public -- Private Investment Program for Legacy Assets .' + └────────s────────> CO/UNKNOWN_COORDINATION (NULL, SharedNPPostParticipalExtractor) + ├────────n────────> 'Legacy Assets contains provisions .' + └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + ├───s───> 'This is in depreciated real estate assets .' + └───n───> 'Legacy Assets are buying up to two trillion dollars .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# In March, Obama's Treasury Secretary, Timothy Geithner, took further steps to manage the financial crisis, including introducing the Public–Private Investment Program for Legacy Assets, which contains provisions for buying up to two trillion dollars in depreciated real estate assets. + +6403839bb0714e5ab9c480628a1f3752 0 Obama 's Treasury Secretary took further steps . + S:UNKNOWN_SUBORDINATION This was in March . + S:PURPOSE This was to manage the financial crisis , including introducing the Public -- Private Investment Program for Legacy Assets . + L:ELABORATION 10ec1986c60543e5a5677757bd1ad5d9 + L:DESCRIBING_DEFINITION 7ba9f10bab2f41a4b4b5ab6437db71b8 + L:DESCRIBING_DEFINITION bbd8c4d2d3c045cf8f9fcdad3cc478e3 + +10ec1986c60543e5a5677757bd1ad5d9 1 Obama 's Treasury Secretary was Timothy Geithner . + +7ba9f10bab2f41a4b4b5ab6437db71b8 1 Legacy Assets contains provisions . + +bbd8c4d2d3c045cf8f9fcdad3cc478e3 1 Legacy Assets are buying up to two trillion dollars . + S:UNKNOWN_SUBORDINATION This is in depreciated real estate assets . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 259/527 # + +'Obama intervened in the troubled automotive industry in March 2009, renewing loans for General Motors and Chrysler to continue operations while reorganizing.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> CO/UNKNOWN_COORDINATION (NULL, SharedNPPostParticipalExtractor) + ├───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) + | ├───s───> 'This was in March 2009 .' + | └───n───> 'Obama intervened in the troubled automotive industry .' + └───n───> SUB/PURPOSE (NULL, PurposePostExtractor) + ├───n───> 'Obama was renewing loans for General Motors and Chrysler .' + └───s───> 'This was to continue operations while reorganizing .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# Obama intervened in the troubled automotive industry in March 2009, renewing loans for General Motors and Chrysler to continue operations while reorganizing. + +4486d4b8580346a083d7660fde5a2921 0 Obama intervened in the troubled automotive industry . + S:TEMPORAL This was in March 2009 . + +98b6da2a122c415abbcc2a43dc725659 0 Obama was renewing loans for General Motors and Chrysler . + S:PURPOSE This was to continue operations while reorganizing . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 260/527 # + +'Over the following months the White House set terms for both firms' bankruptcies, including the sale of Chrysler to Italian automaker Fiat and a reorganization of GM giving the U.S. government a temporary 60% equity stake in the company, with the Canadian government taking a 12% stake.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) + ├─────────────────────────────────s─────────────────────────────────> 'Fiat was Italian automaker .' + └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + ├────────────────────────────s────────────────────────────> 'This was for both firms ' bankruptcies .' + └───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) + ├──────────────────s──────────────────> SUB/IDENTIFYING_DEFINITION ('', RestrictiveParticipialExtractor) + | ├───n───> 'This was with the Canadian government .' + | └───s───> 'The Canadian government was taking a 12 % stake .' + └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalInitialExtractor) + ├──────────────────s──────────────────> 'This was over the following months .' + └───n───> SUB/TEMPORAL (NULL, PrepositionalMiddleFinalExtractor) + ├───s───> CO/UNKNOWN_COORDINATION (NULL, SharedNPPostParticipalExtractor) + | ├───n───> CO/LIST (NULL, PostListNPExtractor) + | | ├───n───> 'This was including the sale of Chrysler to Fiat .' + | | └───n───> 'This was including the sale of a reorganization of GM .' + | └────────n────────> 'This was giving the U.S. government a temporary 60 % equity stake in the company .' + └─────────────n─────────────> 'The White House set terms .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# Over the following months the White House set terms for both firms' bankruptcies, including the sale of Chrysler to Italian automaker Fiat and a reorganization of GM giving the U.S. government a temporary 60% equity stake in the company, with the Canadian government taking a 12% stake. + +8e46075686d1473b9c863f9072f86162 0 The White House set terms . + S:UNKNOWN_SUBORDINATION This was over the following months . + S:UNKNOWN_SUBORDINATION This was for both firms ' bankruptcies . + L:TEMPORAL f67335f7062341c0b83ce73d188481b8 + L:TEMPORAL eb490efaed7145b79a6d84f129d3033a + L:TEMPORAL e7bd19864a274a038931ac13c9608f64 + L:TEMPORAL 44758bafe8f04e109b3de5db9fade26d + L:ELABORATION 30069547a9f94cbf999ef55dd1736eb0 + +f67335f7062341c0b83ce73d188481b8 1 This was including the sale of Chrysler to Fiat . + L:LIST eb490efaed7145b79a6d84f129d3033a + +eb490efaed7145b79a6d84f129d3033a 1 This was including the sale of a reorganization of GM . + L:LIST f67335f7062341c0b83ce73d188481b8 + +e7bd19864a274a038931ac13c9608f64 1 This was giving the U.S. government a temporary 60 % equity stake in the company . + +44758bafe8f04e109b3de5db9fade26d 1 This was with the Canadian government . + L:IDENTIFYING_DEFINITION 012e148fdeae406580b27baa3e4d49fb + +012e148fdeae406580b27baa3e4d49fb 2 The Canadian government was taking a 12 % stake . + +30069547a9f94cbf999ef55dd1736eb0 1 Fiat was Italian automaker . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 261/527 # + +'In June 2009, dissatisfied with the pace of economic stimulus, Obama called on his cabinet to accelerate the investment.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/UNKNOWN_SUBORDINATION ('', ParticipialMiddleExtractor) + ├───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + | ├───s───> 'This was in June 2009 .' + | └───n───> 'Obama called on his cabinet to accelerate the investment .' + └────────s────────> 'June 2009 was dissatisfied with the pace of economic stimulus .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# In June 2009, dissatisfied with the pace of economic stimulus, Obama called on his cabinet to accelerate the investment. + +27df913e5a1f4614919ac30f1074123c 0 Obama called on his cabinet to accelerate the investment . + S:TEMPORAL This was in June 2009 . + L:UNKNOWN_SUBORDINATION 3dd85d88e319454e856afe44d9a27d67 + +3dd85d88e319454e856afe44d9a27d67 1 June 2009 was dissatisfied with the pace of economic stimulus . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 262/527 # + +'He signed into law the Car Allowance Rebate System, known colloquially as Cash for Clunkers, that temporarily boosted the economy.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/DESCRIBING_DEFINITION ('that', NonRestrictiveRelativeClauseWhoWhichExtractor) + ├───n───> SUB/UNKNOWN_SUBORDINATION ('', ParticipialMiddleExtractor) + | ├───n───> 'He signed into law the Car Allowance Rebate System .' + | └───s───> 'The Car Allowance Rebate System was known colloquially as Cash for Clunkers .' + └───s───> SUB/UNKNOWN_SUBORDINATION ('', ParticipialMiddleExtractor) + ├───n───> 'The Car Allowance Rebate System temporarily boosted the economy .' + └───s───> 'The Car Allowance Rebate System was known colloquially as Cash for Clunkers .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# He signed into law the Car Allowance Rebate System, known colloquially as Cash for Clunkers, that temporarily boosted the economy. + +b39d3496634f45279475dad129607d1f 0 He signed into law the Car Allowance Rebate System . + L:UNKNOWN_SUBORDINATION 0a1cae1e596242a9be93511512b33d6f + L:DESCRIBING_DEFINITION d7cef0c05c4145bb9daeff44a2e02cdd + +0a1cae1e596242a9be93511512b33d6f 1 The Car Allowance Rebate System was known colloquially as Cash for Clunkers . + +d7cef0c05c4145bb9daeff44a2e02cdd 1 The Car Allowance Rebate System temporarily boosted the economy . + L:UNKNOWN_SUBORDINATION 28252cd6d32149f39500e247329a8089 + +28252cd6d32149f39500e247329a8089 2 The Car Allowance Rebate System was known colloquially as Cash for Clunkers . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 263/527 # + +'The Bush and Obama administrations authorized spending and loan guarantees from the Federal Reserve and the Treasury Department.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + ├───s───> CO/LIST (NULL, PostListNPExtractor) + | ├───n───> 'This was from the Federal Reserve .' + | └───n───> 'This was from the Treasury Department .' + └────────n────────> 'The Bush and Obama administrations authorized spending and loan guarantees .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# The Bush and Obama administrations authorized spending and loan guarantees from the Federal Reserve and the Treasury Department. + +f19dc548b7774e61808f3b37affca0e9 0 The Bush and Obama administrations authorized spending and loan guarantees . + L:UNKNOWN_SUBORDINATION b7e05f023bb64faab69f555697112693 + L:UNKNOWN_SUBORDINATION dd08e515a8bb41739ac0d936df2f06c7 + +b7e05f023bb64faab69f555697112693 1 This was from the Federal Reserve . + L:LIST dd08e515a8bb41739ac0d936df2f06c7 + +dd08e515a8bb41739ac0d936df2f06c7 1 This was from the Treasury Department . + L:LIST b7e05f023bb64faab69f555697112693 + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 264/527 # + +'These guarantees totaled about $11.5 trillion, but only $3 trillion was spent by the end of November 2009.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> CO/CONTRAST (', but', CoordinationExtractor) + ├───n───> 'These guarantees totaled about $ 11.5 trillion .' + └───n───> 'Only $ 3 trillion was spent by the end of November 2009 .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# These guarantees totaled about $11.5 trillion, but only $3 trillion was spent by the end of November 2009. + +0215b2b6db8c424e91ae18666f6e3f40 0 These guarantees totaled about $ 11.5 trillion . + L:CONTRAST 99ed58717ab7436098ae455a1a221dd7 + +99ed58717ab7436098ae455a1a221dd7 0 Only $ 3 trillion was spent by the end of November 2009 . + L:CONTRAST 0215b2b6db8c424e91ae18666f6e3f40 + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 265/527 # + +'Obama and the Congressional Budget Office predicted the 2010 budget deficit would be $1.5 trillion or 10.6% of the nation's gross domestic product (GDP) compared to the 2009 deficit of $1.4 trillion or 9.9% of GDP.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/UNKNOWN_SUBORDINATION ('', SubordinationPostExtractor) + ├────────n────────> CO/LIST (NULL, PreListNPExtractor) + | ├───n───> 'Obama predicted .' + | └───n───> 'The Congressional Budget Office predicted .' + └───s───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) + ├───s───> CO/DISJUNCTION (NULL, PostListNPExtractor) + | ├───n───> 'This was compared to the 2009 deficit of $ 1.4 trillion .' + | └───n───> 'This was compared to 9.9 % of GDP .' + └───n───> CO/DISJUNCTION (NULL, PostListNPExtractor) + ├───n───> 'The 2010 budget deficit would be $ 1.5 trillion .' + └───n───> 'The 2010 budget deficit would be 10.6 % of the nation 's gross domestic product -LRB- GDP -RRB- .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# Obama and the Congressional Budget Office predicted the 2010 budget deficit would be $1.5 trillion or 10.6% of the nation's gross domestic product (GDP) compared to the 2009 deficit of $1.4 trillion or 9.9% of GDP. + +554545d2b3304008b5aaca4d39295154 0 Obama predicted . + L:LIST 84376c9a50094979a541552108f68498 + L:UNKNOWN_SUBORDINATION 75f246bf016d4030b1c2dccebe43b595 + L:UNKNOWN_SUBORDINATION 75a747279a314517959492fe276806ed + +84376c9a50094979a541552108f68498 0 The Congressional Budget Office predicted . + L:LIST 554545d2b3304008b5aaca4d39295154 + L:UNKNOWN_SUBORDINATION 75f246bf016d4030b1c2dccebe43b595 + L:UNKNOWN_SUBORDINATION 75a747279a314517959492fe276806ed + +75f246bf016d4030b1c2dccebe43b595 1 The 2010 budget deficit would be $ 1.5 trillion . + L:DISJUNCTION 75a747279a314517959492fe276806ed + L:TEMPORAL e3d1af188f924fb09112f839e3a770f3 + L:TEMPORAL 4cf45d0f12464020b3e87a41179f7411 + +75a747279a314517959492fe276806ed 1 The 2010 budget deficit would be 10.6 % of the nation 's gross domestic product -LRB- GDP -RRB- . + L:DISJUNCTION 75f246bf016d4030b1c2dccebe43b595 + L:TEMPORAL e3d1af188f924fb09112f839e3a770f3 + L:TEMPORAL 4cf45d0f12464020b3e87a41179f7411 + +e3d1af188f924fb09112f839e3a770f3 2 This was compared to the 2009 deficit of $ 1.4 trillion . + L:DISJUNCTION 4cf45d0f12464020b3e87a41179f7411 + +4cf45d0f12464020b3e87a41179f7411 2 This was compared to 9.9 % of GDP . + L:DISJUNCTION e3d1af188f924fb09112f839e3a770f3 + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 266/527 # + +'For 2011, the administration predicted the deficit would shrink to $1.34 trillion, and the 10-year deficit would increase to $8.53 trillion or 90% of GDP.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> CO/LIST (', and', CoordinationExtractor) + ├───n───> SUB/UNKNOWN_SUBORDINATION ('', SubordinationPostExtractor) + | ├───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + | | ├───s───> 'This was for 2011 .' + | | └───n───> 'The administration predicted .' + | └────────s────────> 'The deficit would shrink to $ 1.34 trillion .' + └────────n────────> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + ├───s───> 'This is for 2011 .' + └───n───> 'The 10-year deficit would increase to $ 8.53 trillion or 90 % of GDP .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# For 2011, the administration predicted the deficit would shrink to $1.34 trillion, and the 10-year deficit would increase to $8.53 trillion or 90% of GDP. + +824ed78f1a5c45a9af8624e68ba5b9ca 0 The administration predicted . + S:TEMPORAL This was for 2011 . + L:UNKNOWN_SUBORDINATION a8aea038f39a48748553ba5fbba658ff + L:LIST a13dabccbdbe4793b22877cb8dcfbca1 + +a8aea038f39a48748553ba5fbba658ff 1 The deficit would shrink to $ 1.34 trillion . + +a13dabccbdbe4793b22877cb8dcfbca1 0 The 10-year deficit would increase to $ 8.53 trillion or 90 % of GDP . + S:TEMPORAL This is for 2011 . + L:LIST 824ed78f1a5c45a9af8624e68ba5b9ca + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 267/527 # + +'The most recent increase in the U.S. debt ceiling to $17.2 trillion took effect in February 2014.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) + ├───s───> 'This was in February 2014 .' + └───n───> 'The most recent increase in the U.S. debt ceiling to $ 17.2 trillion took effect .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# The most recent increase in the U.S. debt ceiling to $17.2 trillion took effect in February 2014. + +0cb9e5d3457b4bf4a973ddbe00785650 0 The most recent increase in the U.S. debt ceiling to $ 17.2 trillion took effect . + S:TEMPORAL This was in February 2014 . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 268/527 # + +'On August 2, 2011, after a lengthy congressional debate over whether to raise the nation's debt limit, Obama signed the bipartisan Budget Control Act of 2011.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + ├────────s────────> 'This was on August 2 , 2011 .' + └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalInitialExtractor) + ├───s───> 'This was after a lengthy congressional debate over whether to raise the nation 's debt limit .' + └───n───> 'Obama signed the bipartisan Budget Control Act of 2011 .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# On August 2, 2011, after a lengthy congressional debate over whether to raise the nation's debt limit, Obama signed the bipartisan Budget Control Act of 2011. + +9260b2afe1fd464d8f22eeb1f0a46556 0 Obama signed the bipartisan Budget Control Act of 2011 . + S:UNKNOWN_SUBORDINATION This was after a lengthy congressional debate over whether to raise the nation 's debt limit . + S:TEMPORAL This was on August 2 , 2011 . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 269/527 # + +'The legislation enforces limits on discretionary spending until 2021, establishes a procedure to increase the debt limit, creates a Congressional Joint Select Committee on Deficit Reduction to propose further deficit reduction with a stated goal of achieving at least $1.5 trillion in budgetary savings over 10 years, and establishes automatic procedures for reducing spending by as much as $1.2 trillion if legislation originating with the new joint select committee does not achieve such savings.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> CO/UNKNOWN_COORDINATION (NULL, SharedNPPostCoordinationExtractor) + ├───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) + | ├───s───> 'This is until 2021 .' + | └───n───> 'The legislation enforces limits on discretionary spending .' + ├────────n────────> 'The legislation establishes a procedure to increase the debt limit .' + ├───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) + | ├───s───> 'This was with a stated goal of achieving at least $ 1.5 trillion in budgetary savings over 10 years .' + | └───n───> 'The legislation creates a Congressional Joint Select Committee on Deficit Reduction to propose further deficit reduction .' + └───n───> CO/UNKNOWN_COORDINATION (NULL, SharedNPPostParticipalExtractor) + ├───n───> 'The legislation establishes automatic procedures .' + └───n───> 'The legislation is reducing spending by as much as $ 1.2 trillion if legislation originating with the new joint select committee does not achieve such savings .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# The legislation enforces limits on discretionary spending until 2021, establishes a procedure to increase the debt limit, creates a Congressional Joint Select Committee on Deficit Reduction to propose further deficit reduction with a stated goal of achieving at least $1.5 trillion in budgetary savings over 10 years, and establishes automatic procedures for reducing spending by as much as $1.2 trillion if legislation originating with the new joint select committee does not achieve such savings. + +50c3ec82cafc4135bb860296b5ac4cc5 0 The legislation enforces limits on discretionary spending . + S:TEMPORAL This is until 2021 . + +4c1d1e9c23584e3b81d754405cdcc0e5 0 The legislation establishes a procedure to increase the debt limit . + +b33d4f6d8a0b4b81ba1c30815c48db7c 0 The legislation creates a Congressional Joint Select Committee on Deficit Reduction to propose further deficit reduction . + S:TEMPORAL This was with a stated goal of achieving at least $ 1.5 trillion in budgetary savings over 10 years . + +1b67e74705e84f3584f6a45353da0c16 0 The legislation establishes automatic procedures . + +806108143da9410c8bf93ebac2602fac 0 The legislation is reducing spending by as much as $ 1.2 trillion if legislation originating with the new joint select committee does not achieve such savings . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 270/527 # + +'By passing the legislation, Congress was able to prevent a U.S. government default on its obligations.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> CO/UNKNOWN_COORDINATION ('By', SharedNPPreParticipalExtractor) + ├───n───> 'Congress was passing the legislation .' + └───n───> 'Congress was able to prevent a U.S. government default on its obligations .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# By passing the legislation, Congress was able to prevent a U.S. government default on its obligations. + +f23be2fb64b24c6ca0d3f2b042048a1f 0 Congress was passing the legislation . + +54c416290f3a43f0b1b631f0fbf0e76b 0 Congress was able to prevent a U.S. government default on its obligations . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 271/527 # + +'US employment statistics (unemployment rate and monthly changes in net employment) during Obama's tenure as U.S. President' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> 'US employment statistics -LRB- unemployment rate and monthly changes in net employment -RRB- during Obama 's tenure as U.S. President' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# US employment statistics (unemployment rate and monthly changes in net employment) during Obama's tenure as U.S. President + +ffcc2eac405149ea918ff710de830b95 0 US employment statistics -LRB- unemployment rate and monthly changes in net employment -RRB- during Obama 's tenure as U.S. President + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 272/527 # + +'As it did throughout 2008, the unemployment rate rose in 2009, reaching a peak in October at 10.0% and averaging 10.0% in the fourth quarter.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/BACKGROUND ('As', SubordinationPreExtractor) + ├──────────────────s──────────────────> 'It did throughout 2008 .' + └───n───> CO/UNKNOWN_COORDINATION (NULL, SharedNPPostParticipalExtractor) + ├─────────────n─────────────> 'The unemployment rate rose in 2009 .' + └───n───> CO/LIST ('and', SharedNPPostCoordinationExtractor) + ├───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) + | ├───s───> 'This was at 10.0 % .' + | └───n───> 'The unemployment rate was reaching a peak in October .' + └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + ├───s───> 'This was in the fourth quarter .' + └───n───> 'The unemployment rate was averaging 10.0 % .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# As it did throughout 2008, the unemployment rate rose in 2009, reaching a peak in October at 10.0% and averaging 10.0% in the fourth quarter. + +69de593e530442afb8334f1e43361f00 0 The unemployment rate rose in 2009 . + L:BACKGROUND ccdce522a0864772a82f360a9bd79136 + +bfa8c6ad6f11473cacbaab93aee36e0e 0 The unemployment rate was reaching a peak in October . + S:TEMPORAL This was at 10.0 % . + L:LIST 2a057d0e96034a04904ccaf4a35ef3f5 + L:BACKGROUND ccdce522a0864772a82f360a9bd79136 + +2a057d0e96034a04904ccaf4a35ef3f5 0 The unemployment rate was averaging 10.0 % . + S:UNKNOWN_SUBORDINATION This was in the fourth quarter . + L:LIST bfa8c6ad6f11473cacbaab93aee36e0e + L:BACKGROUND ccdce522a0864772a82f360a9bd79136 + +ccdce522a0864772a82f360a9bd79136 1 It did throughout 2008 . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 273/527 # + +'Following a decrease to 9.7% in the first quarter of 2010, the unemployment rate fell to 9.6% in the second quarter, where it remained for the rest of the year.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/SPATIAL (NULL, NonRestrictiveRelativeClauseWhereExtractor) + ├───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + | ├─────────────s─────────────> 'This was in the second quarter .' + | └───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + | ├───s───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) + | | ├───s───> 'This was to 9.7 % in the first quarter of 2010 .' + | | └───n───> 'This was following a decrease .' + | └────────n────────> 'The unemployment rate fell to 9.6 % .' + └──────────────────s──────────────────> 'It remained for the rest of the year .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# Following a decrease to 9.7% in the first quarter of 2010, the unemployment rate fell to 9.6% in the second quarter, where it remained for the rest of the year. + +06fc00b0c267465bb0069d802b270c67 0 The unemployment rate fell to 9.6 % . + S:UNKNOWN_SUBORDINATION This was in the second quarter . + L:TEMPORAL 7dc097709ea144aaa34d8702ac729319 + L:SPATIAL f49b1f8d132a40df9543d2a21880128d + +7dc097709ea144aaa34d8702ac729319 1 This was following a decrease . + S:TEMPORAL This was to 9.7 % in the first quarter of 2010 . + +f49b1f8d132a40df9543d2a21880128d 1 It remained for the rest of the year . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 274/527 # + +'Between February and December 2010, employment rose by 0.8%, which was less than the average of 1.9% experienced during comparable periods in the past four employment recoveries.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/DESCRIBING_DEFINITION ('which', NonRestrictiveRelativeClauseWhoWhichExtractor) + ├───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + | ├───s───> CO/LIST (NULL, PostListNPExtractor) + | | ├───n───> 'This was between February .' + | | └───n───> 'This was between December 2010 .' + | └────────n────────> 'Employment rose by 0.8 % .' + └─────────────s─────────────> '0.8 % was less than the average of 1.9 % experienced during comparable periods in the past four employment recoveries .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# Between February and December 2010, employment rose by 0.8%, which was less than the average of 1.9% experienced during comparable periods in the past four employment recoveries. + +c5e159642a8a4d55a1b5e2f3c115e8d4 0 Employment rose by 0.8 % . + L:TEMPORAL 2630e4b525374fc286c012ec55b314d8 + L:TEMPORAL 5d84ab2e7d2f41218041d7b95482082f + L:DESCRIBING_DEFINITION f4b7082b4721413cafeaa1123b11fd0f + +2630e4b525374fc286c012ec55b314d8 1 This was between February . + L:LIST 5d84ab2e7d2f41218041d7b95482082f + +5d84ab2e7d2f41218041d7b95482082f 1 This was between December 2010 . + L:LIST 2630e4b525374fc286c012ec55b314d8 + +f4b7082b4721413cafeaa1123b11fd0f 1 0.8 % was less than the average of 1.9 % experienced during comparable periods in the past four employment recoveries . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 275/527 # + +'By November 2012, the unemployment rate fell to 7.7%, decreasing to 6.7% in the last month of 2013.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> CO/UNKNOWN_COORDINATION (NULL, SharedNPPostParticipalExtractor) + ├───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + | ├───s───> 'This was by November 2012 .' + | └───n───> 'The unemployment rate fell to 7.7 % .' + └───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + ├───s───> 'This was by November 2012 .' + └───n───> 'The unemployment rate was decreasing to 6.7 % in the last month of 2013 .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# By November 2012, the unemployment rate fell to 7.7%, decreasing to 6.7% in the last month of 2013. + +ec3efbb8768244318a771f0d7777152e 0 The unemployment rate fell to 7.7 % . + S:TEMPORAL This was by November 2012 . + +2e7296ad57b3485f9490d426083ab72c 0 The unemployment rate was decreasing to 6.7 % in the last month of 2013 . + S:TEMPORAL This was by November 2012 . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 276/527 # + +'During 2014, the unemployment rate continued to decline, falling to 6.3% in the first quarter.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + ├───s───> 'This was during 2014 .' + └───n───> 'The unemployment rate continued to decline , falling to 6.3 % in the first quarter .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# During 2014, the unemployment rate continued to decline, falling to 6.3% in the first quarter. + +13e2fc340ce44b8c970b1a3b826eba20 0 The unemployment rate continued to decline , falling to 6.3 % in the first quarter . + S:TEMPORAL This was during 2014 . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 277/527 # + +'GDP growth returned in the third quarter of 2009, expanding at a rate of 1.6%, followed by a 5.0% increase in the fourth quarter.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> CO/UNKNOWN_COORDINATION (NULL, SharedNPPostParticipalExtractor) + ├────────n────────> 'GDP growth returned in the third quarter of 2009 .' + └───n───> SUB/UNKNOWN_SUBORDINATION ('', ParticipialMiddleExtractor) + ├───n───> 'GDP growth was expanding at a rate of 1.6 % .' + └───s───> '1.6 % was followed by a 5.0 % increase in the fourth quarter .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# GDP growth returned in the third quarter of 2009, expanding at a rate of 1.6%, followed by a 5.0% increase in the fourth quarter. + +5222e836741d45c3a8fc64060355b17a 0 GDP growth returned in the third quarter of 2009 . + +ef39227d7eb1494b90a403e281338a2e 0 GDP growth was expanding at a rate of 1.6 % . + L:UNKNOWN_SUBORDINATION ea6e44014ad0498a8117ffc44eb9bb42 + +ea6e44014ad0498a8117ffc44eb9bb42 1 1.6 % was followed by a 5.0 % increase in the fourth quarter . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 278/527 # + +'Growth continued in 2010, posting an increase of 3.7% in the first quarter, with lesser gains throughout the rest of the year.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> CO/UNKNOWN_COORDINATION (NULL, SharedNPPostParticipalExtractor) + ├───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + | ├────────s────────> 'This was throughout the rest of the year .' + | └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalMiddleFinalExtractor) + | ├───s───> 'This was with lesser gains .' + | └───n───> 'Growth continued in 2010 .' + └────────n────────> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalMiddleFinalExtractor) + ├───s───> 'This was with lesser gains throughout the rest of the year .' + └───n───> 'Growth was posting an increase of 3.7 % in the first quarter .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# Growth continued in 2010, posting an increase of 3.7% in the first quarter, with lesser gains throughout the rest of the year. + +47cac57703734beda2f333f9a2d89421 0 Growth continued in 2010 . + S:UNKNOWN_SUBORDINATION This was with lesser gains . + S:UNKNOWN_SUBORDINATION This was throughout the rest of the year . + +ca2ec16767d2490a91642993283364c0 0 Growth was posting an increase of 3.7 % in the first quarter . + S:UNKNOWN_SUBORDINATION This was with lesser gains throughout the rest of the year . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 279/527 # + +'In July 2010, the Federal Reserve noted that economic activity continued to increase, but its pace had slowed, and chairman Ben Bernanke said the economic outlook was unusually uncertain.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> CO/CONTRAST (', but', CoordinationExtractor) + ├─────────────n─────────────> SUB/ATTRIBUTION (NULL, SubordinationPostAttributionExtractor2) + | ├───s───> 'This was what the Federal Reserve noted in July 2010 .' + | └───n───> 'Economic activity continued to increase .' + └───n───> CO/LIST (', and', CoordinationExtractor) + ├─────────────n─────────────> 'Its pace had slowed .' + └───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) + ├────────s────────> 'Ben Bernanke was Chairman .' + └───n───> SUB/ATTRIBUTION (NULL, SubordinationPostAttributionExtractor) + ├───s───> 'This was what Ben Bernanke said .' + └───n───> 'The economic outlook was unusually uncertain .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# In July 2010, the Federal Reserve noted that economic activity continued to increase, but its pace had slowed, and chairman Ben Bernanke said the economic outlook was unusually uncertain. + +f49cf71d45dd4c5f880638fd184643ad 0 Economic activity continued to increase . + S:ATTRIBUTION This was what the Federal Reserve noted in July 2010 . + L:CONTRAST 6bb997539dce49b5b6cd744727850c05 + L:CONTRAST d975857f12f24c7b96f8fd8cfcba0def + +6bb997539dce49b5b6cd744727850c05 0 Its pace had slowed . + L:LIST d975857f12f24c7b96f8fd8cfcba0def + L:CONTRAST f49cf71d45dd4c5f880638fd184643ad + +d975857f12f24c7b96f8fd8cfcba0def 0 The economic outlook was unusually uncertain . + S:ATTRIBUTION This was what Ben Bernanke said . + L:ELABORATION 97634e5047aa44e5946c5e126619843f + L:LIST 6bb997539dce49b5b6cd744727850c05 + L:CONTRAST f49cf71d45dd4c5f880638fd184643ad + +97634e5047aa44e5946c5e126619843f 1 Ben Bernanke was Chairman . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 280/527 # + +'Overall, the economy expanded at a rate of 2.9% in 2010.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) + ├────────s────────> 'This was in 2010 .' + └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, AdjectivalAdverbialInitialExtractor) + ├───s───> 'This was overall .' + └───n───> 'The economy expanded at a rate of 2.9 % .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# Overall, the economy expanded at a rate of 2.9% in 2010. + +462c7a9f337b4bd7a728d2ee63ab1bc8 0 The economy expanded at a rate of 2.9 % . + S:UNKNOWN_SUBORDINATION This was overall . + S:TEMPORAL This was in 2010 . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 281/527 # + +'The Congressional Budget Office (CBO) and a broad range of economists credit Obama's stimulus plan for economic growth.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> 'The Congressional Budget Office -LRB- CBO -RRB- and a broad range of economists credit Obama 's stimulus plan for economic growth .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# The Congressional Budget Office (CBO) and a broad range of economists credit Obama's stimulus plan for economic growth. + +3939055b52d94c51a11df400ae18e428 0 The Congressional Budget Office -LRB- CBO -RRB- and a broad range of economists credit Obama 's stimulus plan for economic growth . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 282/527 # + +'The CBO released a report stating that the stimulus bill increased employment by 1–2.1 million, while conceding that It is impossible to determine how many of the reported jobs would have existed in the absence of the stimulus package.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> CO/UNKNOWN_COORDINATION (NULL, SharedNPPostParticipalExtractor) + ├─────────────n─────────────> 'The CBO released a report .' + └───n───> SUB/ATTRIBUTION (NULL, SubordinationPostAttributionExtractor2) + ├────────s────────> 'This was what the CBO was stating .' + └───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) + ├───s───> 'This was by 1 .' + └───n───> 'The stimulus bill increased employment -- 2.1 million , while conceding that It is impossible to determine how many of the reported jobs would have existed in the absence of the stimulus package .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# The CBO released a report stating that the stimulus bill increased employment by 1–2.1 million, while conceding that It is impossible to determine how many of the reported jobs would have existed in the absence of the stimulus package. + +9288eea2d1c948b59bdb8e95d9f62b53 0 The CBO released a report . + +e8f2a983c97f4c36ba4e310060709bc8 0 The stimulus bill increased employment -- 2.1 million , while conceding that It is impossible to determine how many of the reported jobs would have existed in the absence of the stimulus package . + S:TEMPORAL This was by 1 . + S:ATTRIBUTION This was what the CBO was stating . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 283/527 # + +'Although an April 2010, survey of members of the National Association for Business Economics showed an increase in job creation (over a similar January survey) for the first time in two years, 73% of 68 respondents believed that the stimulus bill has had no impact on employment.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/ELABORATION (NULL, NonRestrictiveAppositionExtractor) + ├──────────────────s──────────────────> 'Survey of members of the National Association for Business Economics were an April 2010 .' + └───n───> CO/CONTRAST ('Although', SubordinationPreExtractor) + ├───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + | ├────────s────────> 'This was in job creation .' + | └───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) + | ├───s───> 'This was for the first time in two years .' + | └───n───> 'An April 2010 showed an increase -LRB- over a similar January survey -RRB- .' + └────────n────────> SUB/ATTRIBUTION (NULL, SubordinationPostAttributionExtractor2) + ├───s───> 'This was what 73 % of 68 respondents believed .' + └───n───> 'The stimulus bill has had no impact on employment .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# Although an April 2010, survey of members of the National Association for Business Economics showed an increase in job creation (over a similar January survey) for the first time in two years, 73% of 68 respondents believed that the stimulus bill has had no impact on employment. + +55d3e5ff042a4bc58658a003de077452 0 An April 2010 showed an increase -LRB- over a similar January survey -RRB- . + S:TEMPORAL This was for the first time in two years . + S:UNKNOWN_SUBORDINATION This was in job creation . + L:CONTRAST a079f1007a864d13a0bcf04b0c3e9e76 + L:ELABORATION b14331f0e5ac4ef0a47856bfbf048f5d + +a079f1007a864d13a0bcf04b0c3e9e76 0 The stimulus bill has had no impact on employment . + S:ATTRIBUTION This was what 73 % of 68 respondents believed . + L:CONTRAST 55d3e5ff042a4bc58658a003de077452 + L:ELABORATION b14331f0e5ac4ef0a47856bfbf048f5d + +b14331f0e5ac4ef0a47856bfbf048f5d 1 Survey of members of the National Association for Business Economics were an April 2010 . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 284/527 # + +'The economy of the United States has grown faster than the other original NATO members by a wider margin under President Obama than it has anytime since the end of World War II.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) + ├─────────────s─────────────> 'Obama was margin under President .' + └───n───> SUB/UNKNOWN_SUBORDINATION ('than', SubordinationPostExtractor) + ├───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + | ├───s───> 'This was by a wider Obama .' + | └───n───> 'The economy of the United States has grown faster than the other original NATO members .' + └────────s────────> 'It has anytime since the end of World War II .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# The economy of the United States has grown faster than the other original NATO members by a wider margin under President Obama than it has anytime since the end of World War II. + +3c39441cc7534d8c81262e20d68269c3 0 The economy of the United States has grown faster than the other original NATO members . + S:UNKNOWN_SUBORDINATION This was by a wider Obama . + L:UNKNOWN_SUBORDINATION 44f8aedc131f44c18e6f53076ecea1bb + L:ELABORATION 071ea5963c4d458a944c942be1fc1f5b + +44f8aedc131f44c18e6f53076ecea1bb 1 It has anytime since the end of World War II . + +071ea5963c4d458a944c942be1fc1f5b 1 Obama was margin under President . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 285/527 # + +'The Organisation for Economic Co-operation and Development credits the much faster growth in the United States to the stimulus plan of the US and the austerity measures in the European Union.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) + ├───s───> CO/LIST (NULL, PostListNPExtractor) + | ├───n───> 'This is to the stimulus plan of the US .' + | └───n───> 'This is to the austerity measures in the European Union .' + └────────n────────> 'The Organisation for Economic Co-operation and Development credits the much faster growth in the United States .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# The Organisation for Economic Co-operation and Development credits the much faster growth in the United States to the stimulus plan of the US and the austerity measures in the European Union. + +58947fb568ed48eaaa4d27774ac69a8d 0 The Organisation for Economic Co-operation and Development credits the much faster growth in the United States . + L:SPATIAL 828b95371a0c440eb56a9a25f0f18993 + L:SPATIAL b86005405ce846b285565fa7844c1f5b + +828b95371a0c440eb56a9a25f0f18993 1 This is to the stimulus plan of the US . + L:LIST b86005405ce846b285565fa7844c1f5b + +b86005405ce846b285565fa7844c1f5b 1 This is to the austerity measures in the European Union . + L:LIST 828b95371a0c440eb56a9a25f0f18993 + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 286/527 # + +'Within a month of the 2010 midterm elections, Obama announced a compromise deal with the Congressional Republican leadership that included a temporary, two-year extension of the 2001 and 2003 income tax rates, a one-year payroll tax reduction, continuation of unemployment benefits, and a new rate and exemption amount for estate taxes.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/ELABORATION (NULL, NonRestrictiveAppositionExtractor) + ├─────────────s─────────────> CO/LIST (NULL, PreListNPExtractor) + | ├───n───> 'The 2001 were a one-year payroll tax reduction .' + | └───n───> '2003 income tax rates were a one-year payroll tax reduction .' + └───n───> SUB/IDENTIFYING_DEFINITION ('that', RestrictiveRelativeClauseWhoWhichExtractor) + ├───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + | ├────────s────────> 'This was with the Congressional Republican leadership .' + | └───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + | ├───s───> 'This was within a month of the 2010 midterm elections .' + | └───n───> 'Obama announced a compromise deal .' + └─────────────s─────────────> 'The Congressional Republican leadership included a temporary , two-year extension of the 2001 and 2003 income tax rates , continuation of unemployment benefits , and a new rate and exemption amount for estate taxes .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# Within a month of the 2010 midterm elections, Obama announced a compromise deal with the Congressional Republican leadership that included a temporary, two-year extension of the 2001 and 2003 income tax rates, a one-year payroll tax reduction, continuation of unemployment benefits, and a new rate and exemption amount for estate taxes. + +e7d7eb396b514f128bbc5e15686ff244 0 Obama announced a compromise deal . + S:TEMPORAL This was within a month of the 2010 midterm elections . + S:UNKNOWN_SUBORDINATION This was with the Congressional Republican leadership . + L:IDENTIFYING_DEFINITION 3a2b086155654721b5a75707caf8e6d8 + L:ELABORATION 40e3eccf7509475a9a8227ac6cd2d6cc + L:ELABORATION 55b2445d5bbc4fda843baddaa833e4ed + +3a2b086155654721b5a75707caf8e6d8 1 The Congressional Republican leadership included a temporary , two-year extension of the 2001 and 2003 income tax rates , continuation of unemployment benefits , and a new rate and exemption amount for estate taxes . + +40e3eccf7509475a9a8227ac6cd2d6cc 1 The 2001 were a one-year payroll tax reduction . + L:LIST 55b2445d5bbc4fda843baddaa833e4ed + +55b2445d5bbc4fda843baddaa833e4ed 1 2003 income tax rates were a one-year payroll tax reduction . + L:LIST 40e3eccf7509475a9a8227ac6cd2d6cc + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 287/527 # + +'The compromise overcame opposition from some in both parties, and the resulting $858 billion Tax Relief, Unemployment Insurance Reauthorization, and Job Creation Act of 2010 passed with bipartisan majorities in both houses of Congress before Obama signed it on December 17, 2010.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> CO/LIST (', and', CoordinationExtractor) + ├────────n────────> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + | ├───s───> 'This was from some in both parties .' + | └───n───> 'The compromise overcame opposition .' + └───n───> SUB/TEMPORAL_AFTER ('before', SubordinationPostExtractor) + ├────────n────────> 'The resulting $ 858 billion Tax Relief , Unemployment Insurance Reauthorization , and Job Creation Act of 2010 passed with bipartisan majorities in both houses of Congress .' + └───s───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) + ├───s───> 'This was on December 17 , 2010 .' + └───n───> 'Obama signed it .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# The compromise overcame opposition from some in both parties, and the resulting $858 billion Tax Relief, Unemployment Insurance Reauthorization, and Job Creation Act of 2010 passed with bipartisan majorities in both houses of Congress before Obama signed it on December 17, 2010. + +7f7d24f0ba504f6184cf541bcda1d29d 0 The compromise overcame opposition . + S:UNKNOWN_SUBORDINATION This was from some in both parties . + L:LIST eae668b22e23429492795b60db485941 + +eae668b22e23429492795b60db485941 0 The resulting $ 858 billion Tax Relief , Unemployment Insurance Reauthorization , and Job Creation Act of 2010 passed with bipartisan majorities in both houses of Congress . + L:TEMPORAL_AFTER 3dab609603224856b510679c8e60d824 + L:LIST 7f7d24f0ba504f6184cf541bcda1d29d + +3dab609603224856b510679c8e60d824 1 Obama signed it . + S:TEMPORAL This was on December 17 , 2010 . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 288/527 # + +'In December 2013, Obama declared that growing income inequality is a defining challenge of our time and called on Congress to bolster the safety net and raise wages.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> CO/LIST ('and', SharedNPPostCoordinationExtractor) + ├────────n────────> SUB/ATTRIBUTION (NULL, SubordinationPostAttributionExtractor2) + | ├───s───> 'This was what Obama declared in December 2013 .' + | └───n───> 'That growing income inequality is a defining challenge of our time .' + └───n───> SUB/PURPOSE (NULL, PurposePostExtractor) + ├───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + | ├───s───> 'This was in December 2013 .' + | └───n───> 'Obama called on Congress .' + └────────s────────> 'This was to bolster the safety net and raise wages .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# In December 2013, Obama declared that growing income inequality is a defining challenge of our time and called on Congress to bolster the safety net and raise wages. + +1cce95f1ca9e427995eccd01b8f5ccfa 0 That growing income inequality is a defining challenge of our time . + S:ATTRIBUTION This was what Obama declared in December 2013 . + L:LIST 242ea0a1e8a2464e8106728c9b0d7919 + +242ea0a1e8a2464e8106728c9b0d7919 0 Obama called on Congress . + S:TEMPORAL This was in December 2013 . + S:PURPOSE This was to bolster the safety net and raise wages . + L:LIST 1cce95f1ca9e427995eccd01b8f5ccfa + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 289/527 # + +'This came on the heels of the nationwide strikes of fast-food workers and Pope Francis' criticism of inequality and trickle-down economics.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> CO/LIST (NULL, PostListNPExtractor) + ├───n───> 'This came on the heels of the nationwide strikes of fast-food workers .' + └───n───> 'This came on the heels of Pope Francis ' criticism of inequality and trickle-down economics .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# This came on the heels of the nationwide strikes of fast-food workers and Pope Francis' criticism of inequality and trickle-down economics. + +c9d5c6b43ca5448d921bc482150e73a3 0 This came on the heels of the nationwide strikes of fast-food workers . + L:LIST afe6c30d07594959a6c590761df62ace + +afe6c30d07594959a6c590761df62ace 0 This came on the heels of Pope Francis ' criticism of inequality and trickle-down economics . + L:LIST c9d5c6b43ca5448d921bc482150e73a3 + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 290/527 # + +'Obama urged Congress to ratify a 12-nation free trade pact called the Trans-Pacific Partnership.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> 'Obama urged Congress to ratify a 12-nation free trade pact called the Trans-Pacific Partnership .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# Obama urged Congress to ratify a 12-nation free trade pact called the Trans-Pacific Partnership. + +6fac61088ce04b1ca9befaf05bf55e18 0 Obama urged Congress to ratify a 12-nation free trade pact called the Trans-Pacific Partnership . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 291/527 # + +'On September 30, 2009, the Obama administration proposed new regulations on power plants, factories, and oil refineries in an attempt to limit greenhouse gas emissions and to curb global warming.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + ├─────────────s─────────────> CO/LIST (NULL, PostListNPExtractor) + | ├───n───> 'This was on power plants .' + | ├───n───> 'This was on factories .' + | └───n───> 'This was on oil refineries .' + └───n───> SUB/PURPOSE (NULL, PurposePostExtractor) + ├───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + | ├────────s────────> 'This was in an attempt .' + | └───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + | ├───s───> 'This was on September 30 , 2009 .' + | └───n───> 'The Obama administration proposed new regulations .' + └─────────────s─────────────> 'This was to limit greenhouse gas emissions and to curb global warming .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# On September 30, 2009, the Obama administration proposed new regulations on power plants, factories, and oil refineries in an attempt to limit greenhouse gas emissions and to curb global warming. + +f264749633e7422db65d7d21006056d8 0 The Obama administration proposed new regulations . + S:TEMPORAL This was on September 30 , 2009 . + S:UNKNOWN_SUBORDINATION This was in an attempt . + S:PURPOSE This was to limit greenhouse gas emissions and to curb global warming . + L:UNKNOWN_SUBORDINATION bbbf76a381ac4bd0bee03cbc562239c5 + L:UNKNOWN_SUBORDINATION 9d74e043e5554ca68831cdae24740ead + L:UNKNOWN_SUBORDINATION 88ff19220a7a44809c55ee1c18368f37 + +bbbf76a381ac4bd0bee03cbc562239c5 1 This was on power plants . + L:LIST 9d74e043e5554ca68831cdae24740ead + L:LIST 88ff19220a7a44809c55ee1c18368f37 + +9d74e043e5554ca68831cdae24740ead 1 This was on factories . + L:LIST 88ff19220a7a44809c55ee1c18368f37 + L:LIST bbbf76a381ac4bd0bee03cbc562239c5 + +88ff19220a7a44809c55ee1c18368f37 1 This was on oil refineries . + L:LIST bbbf76a381ac4bd0bee03cbc562239c5 + L:LIST 9d74e043e5554ca68831cdae24740ead + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 292/527 # + +'On April 20, 2010, an explosion destroyed an offshore drilling rig at the Macondo Prospect in the Gulf of Mexico, causing a major sustained oil leak.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> CO/UNKNOWN_COORDINATION (NULL, SharedNPPostParticipalExtractor) + ├───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + | ├─────────────s─────────────> 'This was at the Macondo Prospect .' + | └───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) + | ├────────s────────> 'This was in the Gulf of Mexico .' + | └───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + | ├───s───> 'This was on April 20 , 2010 .' + | └───n───> 'An explosion destroyed an offshore drilling rig .' + └─────────────n─────────────> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + ├───s───> 'This was on April 20 , 2010 .' + └───n───> 'An explosion was causing a major sustained oil leak .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# On April 20, 2010, an explosion destroyed an offshore drilling rig at the Macondo Prospect in the Gulf of Mexico, causing a major sustained oil leak. + +a8d0faea2d7d45f1ada5714510a86ae7 0 An explosion destroyed an offshore drilling rig . + S:TEMPORAL This was on April 20 , 2010 . + S:SPATIAL This was in the Gulf of Mexico . + S:UNKNOWN_SUBORDINATION This was at the Macondo Prospect . + +0b3652e7c7834cb48023edc261206916 0 An explosion was causing a major sustained oil leak . + S:TEMPORAL This was on April 20 , 2010 . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 293/527 # + +'Obama visited the Gulf, announced a federal investigation, and formed a bipartisan commission to recommend new safety standards, after a review by Secretary of the Interior Ken Salazar and concurrent Congressional hearings.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) + ├────────s────────> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + | ├───s───> 'This was by Secretary of the Interior .' + | └───n───> 'Ken Salazar was a review .' + └───n───> CO/UNKNOWN_COORDINATION (NULL, SharedNPPostCoordinationExtractor) + ├────────n────────> 'Obama visited the Gulf .' + ├────────n────────> 'Obama announced a federal investigation .' + └───n───> SUB/PURPOSE (NULL, PurposePostExtractor) + ├───n───> 'Obama formed a bipartisan commission .' + └───s───> 'This was to recommend new safety standards , after Ken Salazar and concurrent Congressional hearings .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# Obama visited the Gulf, announced a federal investigation, and formed a bipartisan commission to recommend new safety standards, after a review by Secretary of the Interior Ken Salazar and concurrent Congressional hearings. + +ee83c1afde414d0faa7bb51691ac9dee 0 Obama visited the Gulf . + L:ELABORATION b74d54c7f76d468d8069bdf1bb6dd6c5 + +a6ea4f406dac4fa99a99c58529d2cac9 0 Obama announced a federal investigation . + L:ELABORATION b74d54c7f76d468d8069bdf1bb6dd6c5 + +1fb390c9f987494aabc9331d1b19bf57 0 Obama formed a bipartisan commission . + S:PURPOSE This was to recommend new safety standards , after Ken Salazar and concurrent Congressional hearings . + L:ELABORATION b74d54c7f76d468d8069bdf1bb6dd6c5 + +b74d54c7f76d468d8069bdf1bb6dd6c5 1 Ken Salazar was a review . + S:UNKNOWN_SUBORDINATION This was by Secretary of the Interior . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 294/527 # + +'He then announced a six-month moratorium on new deepwater drilling permits and leases, pending regulatory review.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> CO/LIST ('and', SharedNPPostCoordinationExtractor) + ├───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + | ├────────s────────> 'This was on new deepwater drilling permits .' + | └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalMiddleFinalExtractor) + | ├───s───> 'This was pending regulatory review .' + | └───n───> 'He then announced a six-month moratorium .' + └─────────────n─────────────> 'He then leases , pending regulatory review .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# He then announced a six-month moratorium on new deepwater drilling permits and leases, pending regulatory review. + +42909c7a750d48b7bee5ddf0172dc762 0 He then announced a six-month moratorium . + S:UNKNOWN_SUBORDINATION This was pending regulatory review . + S:UNKNOWN_SUBORDINATION This was on new deepwater drilling permits . + L:LIST 6e021d223d754fc4865a23ef908f6317 + +6e021d223d754fc4865a23ef908f6317 0 He then leases , pending regulatory review . + L:LIST 42909c7a750d48b7bee5ddf0172dc762 + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 295/527 # + +'As multiple efforts by BP failed, some in the media and public expressed confusion and criticism over various aspects of the incident, and stated a desire for more involvement by Obama and the federal government.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/BACKGROUND ('As', SubordinationPreExtractor) + ├───────────────────────s───────────────────────> 'Multiple efforts by BP failed .' + └───n───> CO/LIST (', and', SharedNPPostCoordinationExtractor) + ├─────────────n─────────────> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + | ├───s───> 'This was over various aspects of the incident .' + | └───n───> 'Some in the media and public expressed confusion and criticism .' + └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + ├─────────────s─────────────> 'This was for more involvement .' + └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + ├───s───> CO/LIST (NULL, PostListNPExtractor) + | ├───n───> 'This was by Obama .' + | └───n───> 'This was by the federal government .' + └────────n────────> 'Some in the media and public stated a desire .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# As multiple efforts by BP failed, some in the media and public expressed confusion and criticism over various aspects of the incident, and stated a desire for more involvement by Obama and the federal government. + +4feb36bb94c149a79cc2daae083739f8 0 Some in the media and public expressed confusion and criticism . + S:UNKNOWN_SUBORDINATION This was over various aspects of the incident . + L:LIST e9dc7222881a426f934da945a321bde9 + L:BACKGROUND 9217cc35fcc248d2a7ee76d8f0b32e9b + +e9dc7222881a426f934da945a321bde9 0 Some in the media and public stated a desire . + S:UNKNOWN_SUBORDINATION This was for more involvement . + L:UNKNOWN_SUBORDINATION c449d88081f64f10881fdc79d984fbb4 + L:UNKNOWN_SUBORDINATION a03141a6d3a84e3faa9b28bb023ce7f6 + L:LIST 4feb36bb94c149a79cc2daae083739f8 + L:BACKGROUND 9217cc35fcc248d2a7ee76d8f0b32e9b + +c449d88081f64f10881fdc79d984fbb4 1 This was by Obama . + L:LIST a03141a6d3a84e3faa9b28bb023ce7f6 + +a03141a6d3a84e3faa9b28bb023ce7f6 1 This was by the federal government . + L:LIST c449d88081f64f10881fdc79d984fbb4 + +9217cc35fcc248d2a7ee76d8f0b32e9b 1 Multiple efforts by BP failed . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 296/527 # + +'In July 2013, Obama expressed reservations and stated he would reject the Keystone XL pipeline if it increased carbon pollution or greenhouse emissions.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> CO/LIST ('and', SharedNPPostCoordinationExtractor) + ├────────n────────> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + | ├───s───> 'This was in July 2013 .' + | └───n───> 'Obama expressed reservations .' + └───n───> SUB/ATTRIBUTION (NULL, SubordinationPostAttributionExtractor) + ├────────s────────> 'This was what Obama stated in July 2013 .' + └───n───> SUB/CONDITION ('if', SubordinationPostExtractor) + ├───n───> 'He would reject the Keystone XL pipeline .' + └───s───> 'It increased carbon pollution or greenhouse emissions .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# In July 2013, Obama expressed reservations and stated he would reject the Keystone XL pipeline if it increased carbon pollution or greenhouse emissions. + +85aaa3c30c7641109559302b75ba024c 0 Obama expressed reservations . + S:TEMPORAL This was in July 2013 . + L:LIST d41bd4367cb4443fbf2d1dcc0fd7ff4a + +d41bd4367cb4443fbf2d1dcc0fd7ff4a 0 He would reject the Keystone XL pipeline . + S:ATTRIBUTION This was what Obama stated in July 2013 . + L:CONDITION 096ae6b791244a1b9e6464f2b4852616 + L:LIST 85aaa3c30c7641109559302b75ba024c + +096ae6b791244a1b9e6464f2b4852616 1 It increased carbon pollution or greenhouse emissions . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 297/527 # + +'Obama's advisers called for a halt to petroleum exploration in the Arctic in January 2013.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) + ├────────s────────> 'This was to petroleum exploration in the Arctic .' + └───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) + ├───s───> 'This was in January 2013 .' + └───n───> 'Obama 's advisers called for a halt .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# Obama's advisers called for a halt to petroleum exploration in the Arctic in January 2013. + +7e95f46347b248d5b842055f538efca2 0 Obama 's advisers called for a halt . + S:TEMPORAL This was in January 2013 . + S:SPATIAL This was to petroleum exploration in the Arctic . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 298/527 # + +'On February 24, 2015, Obama vetoed a bill that would authorize the pipeline.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/IDENTIFYING_DEFINITION ('that', RestrictiveRelativeClauseWhoWhichExtractor) + ├───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + | ├───s───> 'This was on February 24 , 2015 .' + | └───n───> 'Obama vetoed a bill .' + └────────s────────> 'A bill would authorize the pipeline .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# On February 24, 2015, Obama vetoed a bill that would authorize the pipeline. + +cb463073d806473bb015fcf27901586e 0 Obama vetoed a bill . + S:TEMPORAL This was on February 24 , 2015 . + L:IDENTIFYING_DEFINITION bc45de4d42f045418ae7ce3414431fce + +bc45de4d42f045418ae7ce3414431fce 1 A bill would authorize the pipeline . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 299/527 # + +'It was the third veto of Obama's presidency and his first major veto.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> CO/LIST (NULL, PostListNPExtractor) + ├───n───> 'It was the third veto of Obama 's presidency .' + └───n───> 'It was the third veto of his first major veto .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# It was the third veto of Obama's presidency and his first major veto. + +f5f15d45114a4eba9a3b8d3d9ea29695 0 It was the third veto of Obama 's presidency . + L:LIST 70065a4d755740689febf2b9ba24f83a + +70065a4d755740689febf2b9ba24f83a 0 It was the third veto of his first major veto . + L:LIST f5f15d45114a4eba9a3b8d3d9ea29695 + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 300/527 # + +'Obama has emphasized the conservation of federal lands during his term in office.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + ├───s───> 'This was during his term in office .' + └───n───> 'Obama has emphasized the conservation of federal lands .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# Obama has emphasized the conservation of federal lands during his term in office. + +88ac86e0a1744b16a963711858270083 0 Obama has emphasized the conservation of federal lands . + S:UNKNOWN_SUBORDINATION This was during his term in office . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 301/527 # + +'He used his power under the Antiquities Act to create 25 new national monuments during his presidency and expand four others, protecting a total of 553,000,000 acres (224,000,000 ha) of federal lands and waters, more than any other U.S. president.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> CO/UNKNOWN_COORDINATION (NULL, SharedNPPostParticipalExtractor) + ├───n───> SUB/PURPOSE (NULL, PurposePostExtractor) + | ├───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + | | ├───s───> 'This was under the Antiquities Act .' + | | └───n───> 'He used his power .' + | └────────s────────> 'This was to create 25 new national monuments during his presidency and expand four others .' + └────────n────────> SUB/UNKNOWN_SUBORDINATION (NULL, AdjectivalAdverbialMiddleFinalExtractor) + ├───s───> 'This was more than any other U.S. president .' + └───n───> 'He was protecting a total of 553,000,000 acres -LRB- 224,000,000 ha -RRB- of federal lands and waters .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# He used his power under the Antiquities Act to create 25 new national monuments during his presidency and expand four others, protecting a total of 553,000,000 acres (224,000,000 ha) of federal lands and waters, more than any other U.S. president. + +b5383069edf342d992da56e48820f1eb 0 He used his power . + S:UNKNOWN_SUBORDINATION This was under the Antiquities Act . + S:PURPOSE This was to create 25 new national monuments during his presidency and expand four others . + +af7c277124be4ef19ab85e16d7a0a02a 0 He was protecting a total of 553,000,000 acres -LRB- 224,000,000 ha -RRB- of federal lands and waters . + S:UNKNOWN_SUBORDINATION This was more than any other U.S. president . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 302/527 # + +'Obama called for Congress to pass legislation reforming health care in the United States, a key campaign promise and a top legislative goal.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/PURPOSE (NULL, PurposePostExtractor) + ├───n───> 'Obama called for Congress .' + └───s───> 'This was to pass legislation reforming health care in the United States , a key campaign promise and a top legislative goal .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# Obama called for Congress to pass legislation reforming health care in the United States, a key campaign promise and a top legislative goal. + +7fa2a8ee0ed840928555bb3de8d44f08 0 Obama called for Congress . + S:PURPOSE This was to pass legislation reforming health care in the United States , a key campaign promise and a top legislative goal . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 303/527 # + +'He proposed an expansion of health insurance coverage to cover the uninsured, to cap premium increases, and to allow people to retain their coverage when they leave or change jobs.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/PURPOSE (NULL, PurposePostExtractor) + ├───n───> SUB/PURPOSE (NULL, PurposePostExtractor) + | ├───n───> 'He proposed an expansion of health insurance coverage .' + | └───s───> 'This was to cover the uninsured .' + └────────s────────> 'This was to cap premium increases , and to allow people to retain their coverage when they leave or change jobs .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# He proposed an expansion of health insurance coverage to cover the uninsured, to cap premium increases, and to allow people to retain their coverage when they leave or change jobs. + +4f87191ffc87438193d26f08e5239841 0 He proposed an expansion of health insurance coverage . + S:PURPOSE This was to cover the uninsured . + S:PURPOSE This was to cap premium increases , and to allow people to retain their coverage when they leave or change jobs . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 304/527 # + +'His proposal was to spend $900 billion over 10 years and include a government insurance plan, also known as the public option, to compete with the corporate insurance sector as a main component to lowering costs and improving quality of health care.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/UNKNOWN_SUBORDINATION ('', ParticipialMiddleExtractor) + ├───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + | ├───s───> 'This was to lowering costs and improving quality of health care .' + | └───n───> 'His proposal was to spend $ 900 billion over 10 years and include a government insurance plan to compete with the corporate insurance sector as a main component .' + └────────s────────> 'A government insurance plan was also known as the public option .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# His proposal was to spend $900 billion over 10 years and include a government insurance plan, also known as the public option, to compete with the corporate insurance sector as a main component to lowering costs and improving quality of health care. + +15d734fbe72d4a15a1391f4a56714477 0 His proposal was to spend $ 900 billion over 10 years and include a government insurance plan to compete with the corporate insurance sector as a main component . + S:UNKNOWN_SUBORDINATION This was to lowering costs and improving quality of health care . + L:UNKNOWN_SUBORDINATION fa4caaa344694cb39625e5bf55e8cecd + +fa4caaa344694cb39625e5bf55e8cecd 1 A government insurance plan was also known as the public option . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 305/527 # + +'It would also make it illegal for insurers to drop sick people or deny them coverage for pre-existing conditions, and require every American to carry health coverage.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> 'It would also make it illegal for insurers to drop sick people or deny them coverage for pre-existing conditions , and require every American to carry health coverage .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# It would also make it illegal for insurers to drop sick people or deny them coverage for pre-existing conditions, and require every American to carry health coverage. + +a8b1a0e9bd7543859243788d6922be31 0 It would also make it illegal for insurers to drop sick people or deny them coverage for pre-existing conditions , and require every American to carry health coverage . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 306/527 # + +'The plan also includes medical spending cuts and taxes on insurance companies that offer expensive plans.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/IDENTIFYING_DEFINITION ('that', RestrictiveRelativeClauseWhoWhichExtractor) + ├───n───> 'The plan also includes medical spending cuts and taxes on insurance companies .' + └───s───> 'Medical spending cuts and taxes on insurance companies offer expensive plans .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# The plan also includes medical spending cuts and taxes on insurance companies that offer expensive plans. + +d6236d441bc047d68ee0915644fa2859 0 The plan also includes medical spending cuts and taxes on insurance companies . + L:IDENTIFYING_DEFINITION af1ef2fe244b4ff88c0acb3bad79594c + +af1ef2fe244b4ff88c0acb3bad79594c 1 Medical spending cuts and taxes on insurance companies offer expensive plans . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 307/527 # + +'Maximum Out-of-Pocket Premium as Percentage of Family Income and federal poverty level, under Patient Protection and Affordable Care Act, starting in 2014 (Source: CRS)' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> 'Maximum Out-of-Pocket Premium as Percentage of Family Income and federal poverty level , under Patient Protection and Affordable Care Act , starting in 2014 -LRB- Source : CRS -RRB-' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# Maximum Out-of-Pocket Premium as Percentage of Family Income and federal poverty level, under Patient Protection and Affordable Care Act, starting in 2014 (Source: CRS) + +5d6b70525a124bbaae3dd82caefee225 0 Maximum Out-of-Pocket Premium as Percentage of Family Income and federal poverty level , under Patient Protection and Affordable Care Act , starting in 2014 -LRB- Source : CRS -RRB- + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 308/527 # + +'On July 14, 2009, House Democratic leaders introduced a 1,017-page plan for overhauling the U.S. health care system, which Obama wanted Congress to approve by the end of 2009.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/DESCRIBING_DEFINITION ('which', NonRestrictiveRelativeClauseWhoWhichExtractor) + ├───n───> CO/UNKNOWN_COORDINATION (NULL, SharedNPPostParticipalExtractor) + | ├───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + | | ├───s───> 'This was on July 14 , 2009 .' + | | └───n───> 'House Democratic leaders introduced a 1,017-page plan .' + | └───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + | ├───s───> 'This was on July 14 , 2009 .' + | └───n───> 'House Democratic leaders were overhauling the U.S. health care system .' + └─────────────s─────────────> 'Obama wanted Congress to approve by the end of 2009 the U.S. health care system .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# On July 14, 2009, House Democratic leaders introduced a 1,017-page plan for overhauling the U.S. health care system, which Obama wanted Congress to approve by the end of 2009. + +c7e2c4fc88134c31948879980b09df36 0 House Democratic leaders introduced a 1,017-page plan . + S:TEMPORAL This was on July 14 , 2009 . + L:DESCRIBING_DEFINITION 6ca54e7be2d547c2af2a625102e857dc + +8890c7fdea6e43929b0482bda7b8f39a 0 House Democratic leaders were overhauling the U.S. health care system . + S:TEMPORAL This was on July 14 , 2009 . + L:DESCRIBING_DEFINITION 6ca54e7be2d547c2af2a625102e857dc + +6ca54e7be2d547c2af2a625102e857dc 1 Obama wanted Congress to approve by the end of 2009 the U.S. health care system . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 309/527 # + +'After much public debate during the Congressional summer recess of 2009, Obama delivered a speech to a joint session of Congress on September 9 where he addressed concerns over the proposals.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/ELABORATION ('where', SubordinationPostExtractor) + ├───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + | ├──────────────────s──────────────────> 'This was to a joint session of Congress .' + | └───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) + | ├─────────────s─────────────> 'This was on September 9 .' + | └───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + | ├───s───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) + | | ├───s───> 'This was during the Congressional summer recess of 2009 .' + | | └───n───> 'This was after much public debate .' + | └────────n────────> 'Obama delivered a speech .' + └──────────────────s──────────────────> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + ├───s───> 'This was over the proposals .' + └───n───> 'He addressed concerns .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# After much public debate during the Congressional summer recess of 2009, Obama delivered a speech to a joint session of Congress on September 9 where he addressed concerns over the proposals. + +8c5587b1cfde45a69e2b2704090bdbe4 0 Obama delivered a speech . + S:TEMPORAL This was on September 9 . + S:UNKNOWN_SUBORDINATION This was to a joint session of Congress . + L:TEMPORAL fc056236cce249ee97d726f36ef8b485 + L:ELABORATION 679fdd85007e42238519c92b637ee31f + +fc056236cce249ee97d726f36ef8b485 1 This was after much public debate . + S:TEMPORAL This was during the Congressional summer recess of 2009 . + +679fdd85007e42238519c92b637ee31f 1 He addressed concerns . + S:UNKNOWN_SUBORDINATION This was over the proposals . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 310/527 # + +'In March 2009, Obama lifted a ban on using federal funds for stem cell research.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> CO/UNKNOWN_COORDINATION (NULL, SharedNPPostParticipalExtractor) + ├───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + | ├───s───> 'This was in March 2009 .' + | └───n───> 'Obama lifted a ban .' + └───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + ├───s───> 'This was in March 2009 .' + └───n───> 'Obama was using federal funds for stem cell research .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# In March 2009, Obama lifted a ban on using federal funds for stem cell research. + +5626d2a9e1b749d28aee9c7b3a392451 0 Obama lifted a ban . + S:TEMPORAL This was in March 2009 . + +dcea904da97c415cace8f2e6465421f7 0 Obama was using federal funds for stem cell research . + S:TEMPORAL This was in March 2009 . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 311/527 # + +'On November 7, 2009, a health care bill featuring the public option was passed in the House.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + ├───s───> 'This was on November 7 , 2009 .' + └───n───> 'A health care bill featuring the public option was passed in the House .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# On November 7, 2009, a health care bill featuring the public option was passed in the House. + +325f9dfa653942fea495cb1d3c931eb9 0 A health care bill featuring the public option was passed in the House . + S:TEMPORAL This was on November 7 , 2009 . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 312/527 # + +'On December 24, 2009, the Senate passed its own bill—without a public option—on a party-line vote of 60–39.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) + ├────────s────────> 'This was on a party-line vote of 60 -- 39 .' + └───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + ├───s───> 'This was on December 24 , 2009 .' + └───n───> 'The Senate passed its own bill -- without a public option -- .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# On December 24, 2009, the Senate passed its own bill—without a public option—on a party-line vote of 60–39. + +fc6004cd3f30453d9c89638ac088be83 0 The Senate passed its own bill -- without a public option -- . + S:TEMPORAL This was on December 24 , 2009 . + S:TEMPORAL This was on a party-line vote of 60 -- 39 . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 313/527 # + +'On March 21, 2010, the Patient Protection and Affordable Care Act (ACA) passed by the Senate in December was passed in the House by a vote of 219 to 212.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) + ├────────s────────> 'This was by a vote of 219 to 212 .' + └───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + ├───s───> 'This was on March 21 , 2010 .' + └───n───> 'The Patient Protection and Affordable Care Act -LRB- ACA -RRB- passed by the Senate in December was passed in the House .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# On March 21, 2010, the Patient Protection and Affordable Care Act (ACA) passed by the Senate in December was passed in the House by a vote of 219 to 212. + +9f2565bd043e41ababf039a02b99786c 0 The Patient Protection and Affordable Care Act -LRB- ACA -RRB- passed by the Senate in December was passed in the House . + S:TEMPORAL This was on March 21 , 2010 . + S:TEMPORAL This was by a vote of 219 to 212 . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 314/527 # + +'Obama signed the bill into law on March 23, 2010.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + ├────────s────────> 'This was into law .' + └───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) + ├───s───> 'This was on March 23 , 2010 .' + └───n───> 'Obama signed the bill .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# Obama signed the bill into law on March 23, 2010. + +248ebb83590a42cf80a6dbd1a34bd2aa 0 Obama signed the bill . + S:TEMPORAL This was on March 23 , 2010 . + S:UNKNOWN_SUBORDINATION This was into law . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 315/527 # + +'The ACA includes health-related provisions, most of which took effect in 2014, including expanding Medicaid eligibility for people making up to 133% of the federal poverty level (FPL) starting in 2014, subsidizing insurance premiums for people making up to 400% of the FPL ($88,000 for family of four in 2010) so their maximum out-of-pocket payment for annual premiums will be from 2% to 9.5% of income, providing incentives for businesses to provide health care benefits, prohibiting denial of coverage and denial of claims based on pre-existing conditions, establishing health insurance exchanges, prohibiting annual coverage caps, and support for medical research.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/IDENTIFYING_DEFINITION ('', RestrictiveParticipialExtractor) + ├───n───> SUB/IDENTIFYING_DEFINITION ('', RestrictiveParticipialExtractor) + | ├───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalMiddleFinalExtractor) + | | ├───s───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + | | | ├─────────────s─────────────> 'This was for people .' + | | | └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + | | | ├────────s────────> 'This was based on pre-existing conditions .' + | | | └───n───> CO/LIST (NULL, PostListNPExtractor) + | | | ├───n───> 'This was including expanding Medicaid eligibility for people , subsidizing insurance premiums , providing incentives for businesses to provide health care benefits , prohibiting denial of coverage and denial of claims , establishing health insurance exchanges , prohibiting annual coverage caps for medical research .' + | | | └───n───> 'This was including expanding Medicaid eligibility for people , subsidizing insurance premiums , providing incentives for businesses to provide health care benefits , prohibiting denial of coverage and denial of claims , establishing health insurance exchanges , prohibiting support for medical research .' + | | └──────────────────n──────────────────> 'The ACA includes health-related provisions , most of which took effect in 2014 .' + | └──────────────────s──────────────────> SUB/ELABORATION ('so', SubordinationPostExtractor) + | ├───n───> 'People were making up to 400 % of the FPL -LRB- $ 88,000 for family of four in 2010 -RRB- .' + | └───s───> 'Their maximum out-of-pocket payment for annual premiums will be from 2 % to 9.5 % of income .' + └───────────────────────s───────────────────────> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) + ├───s───> 'This was starting in 2014 .' + └───n───> 'People were making up to 133 % of the federal poverty level -LRB- FPL -RRB- .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# The ACA includes health-related provisions, most of which took effect in 2014, including expanding Medicaid eligibility for people making up to 133% of the federal poverty level (FPL) starting in 2014, subsidizing insurance premiums for people making up to 400% of the FPL ($88,000 for family of four in 2010) so their maximum out-of-pocket payment for annual premiums will be from 2% to 9.5% of income, providing incentives for businesses to provide health care benefits, prohibiting denial of coverage and denial of claims based on pre-existing conditions, establishing health insurance exchanges, prohibiting annual coverage caps, and support for medical research. + +4a94110676fc429e88146dc9fbb79b95 0 The ACA includes health-related provisions , most of which took effect in 2014 . + L:UNKNOWN_SUBORDINATION b8d0e31afa414c508ae115ef3270018a + L:UNKNOWN_SUBORDINATION 6d413af023d0447b9c83e56a34471997 + L:IDENTIFYING_DEFINITION 66f81764ebc44e5ca4eb08cdb720ec4a + L:IDENTIFYING_DEFINITION b273fd9bb01643f187a9dcab30a1a454 + +b8d0e31afa414c508ae115ef3270018a 1 This was including expanding Medicaid eligibility for people , subsidizing insurance premiums , providing incentives for businesses to provide health care benefits , prohibiting denial of coverage and denial of claims , establishing health insurance exchanges , prohibiting annual coverage caps for medical research . + S:UNKNOWN_SUBORDINATION This was based on pre-existing conditions . + S:UNKNOWN_SUBORDINATION This was for people . + L:LIST 6d413af023d0447b9c83e56a34471997 + +6d413af023d0447b9c83e56a34471997 1 This was including expanding Medicaid eligibility for people , subsidizing insurance premiums , providing incentives for businesses to provide health care benefits , prohibiting denial of coverage and denial of claims , establishing health insurance exchanges , prohibiting support for medical research . + S:UNKNOWN_SUBORDINATION This was based on pre-existing conditions . + S:UNKNOWN_SUBORDINATION This was for people . + L:LIST b8d0e31afa414c508ae115ef3270018a + +66f81764ebc44e5ca4eb08cdb720ec4a 1 People were making up to 400 % of the FPL -LRB- $ 88,000 for family of four in 2010 -RRB- . + L:ELABORATION 45f08f19107948209a615e884bf6d28b + +45f08f19107948209a615e884bf6d28b 2 Their maximum out-of-pocket payment for annual premiums will be from 2 % to 9.5 % of income . + +b273fd9bb01643f187a9dcab30a1a454 1 People were making up to 133 % of the federal poverty level -LRB- FPL -RRB- . + S:TEMPORAL This was starting in 2014 . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 316/527 # + +'According to White House and CBO figures, the maximum share of income that enrollees would have to pay would vary depending on their income relative to the federal poverty level.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalInitialExtractor) + ├───s───> 'This is according to White House and CBO figures .' + └───n───> 'The maximum share of income that enrollees would have to pay would vary depending on their income relative to the federal poverty level .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# According to White House and CBO figures, the maximum share of income that enrollees would have to pay would vary depending on their income relative to the federal poverty level. + +8cecba674cc94bbcb834245b4c02e06b 0 The maximum share of income that enrollees would have to pay would vary depending on their income relative to the federal poverty level . + S:UNKNOWN_SUBORDINATION This is according to White House and CBO figures . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 317/527 # + +'The costs of these provisions are offset by taxes, fees, and cost-saving measures, such as new Medicare taxes for those in high-income brackets, taxes on indoor tanning, cuts to the Medicare Advantage program in favor of traditional Medicare, and fees on medical devices and pharmaceutical companies; there is also a tax penalty for those who do not obtain health insurance, unless they are exempt due to low income or other reasons.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> CO/UNKNOWN_COORDINATION (';', CoordinationExtractor) + ├────────n────────> CO/LIST (NULL, PostListNPExtractor) + | ├───n───> 'The costs of these provisions are offset by taxes .' + | ├───n───> 'The costs of these provisions are offset by fees .' + | └───n───> 'The costs of these provisions are offset by cost-saving measures , such as new Medicare taxes for those in high-income brackets , taxes on indoor tanning , cuts to the Medicare Advantage program in favor of traditional Medicare , and fees on medical devices and pharmaceutical companies .' + └───n───> SUB/CONDITION ('unless', SubordinationPostExtractor) + ├───n───> SUB/IDENTIFYING_DEFINITION ('who', RestrictiveRelativeClauseWhoWhichExtractor) + | ├───n───> 'There is also a tax penalty for those .' + | └───s───> 'Those do not obtain health insurance .' + └───s───> CO/DISJUNCTION (NULL, PostListNPExtractor) + ├───n───> 'They are exempt due to low income .' + └───n───> 'They are exempt due to other reasons .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# The costs of these provisions are offset by taxes, fees, and cost-saving measures, such as new Medicare taxes for those in high-income brackets, taxes on indoor tanning, cuts to the Medicare Advantage program in favor of traditional Medicare, and fees on medical devices and pharmaceutical companies; there is also a tax penalty for those who do not obtain health insurance, unless they are exempt due to low income or other reasons. + +34f691d68a1b40cd9bf5bc2f263e7c08 0 The costs of these provisions are offset by taxes . + L:LIST ac8035e6794d42c7b64807f0657ea5ae + L:LIST 28683108f8d943d08527c4ba40158543 + +ac8035e6794d42c7b64807f0657ea5ae 0 The costs of these provisions are offset by fees . + L:LIST 28683108f8d943d08527c4ba40158543 + L:LIST 34f691d68a1b40cd9bf5bc2f263e7c08 + +28683108f8d943d08527c4ba40158543 0 The costs of these provisions are offset by cost-saving measures , such as new Medicare taxes for those in high-income brackets , taxes on indoor tanning , cuts to the Medicare Advantage program in favor of traditional Medicare , and fees on medical devices and pharmaceutical companies . + L:LIST 34f691d68a1b40cd9bf5bc2f263e7c08 + L:LIST ac8035e6794d42c7b64807f0657ea5ae + +b1e97625fcc241eba08977d2e75819ec 0 There is also a tax penalty for those . + L:IDENTIFYING_DEFINITION 3473d0ee0efc4494b5eb515e52942612 + L:CONDITION 7436a0f05ef74ce1951b5c7996fda1f3 + L:CONDITION 7028ce08c43c4e32bf86cea1d346f765 + +3473d0ee0efc4494b5eb515e52942612 1 Those do not obtain health insurance . + +7436a0f05ef74ce1951b5c7996fda1f3 1 They are exempt due to low income . + L:DISJUNCTION 7028ce08c43c4e32bf86cea1d346f765 + +7028ce08c43c4e32bf86cea1d346f765 1 They are exempt due to other reasons . + L:DISJUNCTION 7436a0f05ef74ce1951b5c7996fda1f3 + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 318/527 # + +'In March 2010, the CBO estimated that the net effect of both laws will be a reduction in the federal deficit by $143 billion over the first decade.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/ATTRIBUTION (NULL, SubordinationPostAttributionExtractor2) + ├────────s────────> 'This was what the CBO estimated in March 2010 .' + └───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) + ├───s───> 'This is by $ 143 billion over the first decade .' + └───n───> 'The net effect of both laws will be a reduction in the federal deficit .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# In March 2010, the CBO estimated that the net effect of both laws will be a reduction in the federal deficit by $143 billion over the first decade. + +ba63761d36de42f1ac9e2484bcfc18ee 0 The net effect of both laws will be a reduction in the federal deficit . + S:TEMPORAL This is by $ 143 billion over the first decade . + S:ATTRIBUTION This was what the CBO estimated in March 2010 . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 319/527 # + +'The law faced several legal challenges, primarily based on the argument that an individual mandate requiring Americans to buy health insurance was unconstitutional.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/UNKNOWN_SUBORDINATION ('that', SubordinationPostExtractor) + ├───n───> SUB/UNKNOWN_SUBORDINATION ('', ParticipialMiddleExtractor) + | ├───n───> 'The law faced several legal challenges .' + | └───s───> 'Several legal challenges were primarily based on the argument .' + └────────s────────> 'An individual mandate requiring Americans to buy health insurance was unconstitutional .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# The law faced several legal challenges, primarily based on the argument that an individual mandate requiring Americans to buy health insurance was unconstitutional. + +f9604f833e47401294bb99921798e2a3 0 The law faced several legal challenges . + L:UNKNOWN_SUBORDINATION 7c6ec3c144864250b6a1f01f57e0bd08 + L:UNKNOWN_SUBORDINATION 097fdca6902e40c2b4ff8ae85833149f + +7c6ec3c144864250b6a1f01f57e0bd08 1 Several legal challenges were primarily based on the argument . + +097fdca6902e40c2b4ff8ae85833149f 1 An individual mandate requiring Americans to buy health insurance was unconstitutional . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 320/527 # + +'On June 28, 2012, the Supreme Court ruled by a 5–4 vote in National Federation of Independent Business v. Sebelius that the mandate was constitutional under the U.S. Congress's taxing authority.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/UNKNOWN_SUBORDINATION ('that', SubordinationPostExtractor) + ├───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + | ├───s───> 'This was on June 28 , 2012 .' + | └───n───> 'The Supreme Court ruled by a 5 -- 4 vote in National Federation of Independent Business v. Sebelius .' + └────────s────────> 'The mandate was constitutional under the U.S. Congress 's taxing authority .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# On June 28, 2012, the Supreme Court ruled by a 5–4 vote in National Federation of Independent Business v. Sebelius that the mandate was constitutional under the U.S. Congress's taxing authority. + +06f148051b0e49af9c1347e486174b6f 0 The Supreme Court ruled by a 5 -- 4 vote in National Federation of Independent Business v. Sebelius . + S:TEMPORAL This was on June 28 , 2012 . + L:UNKNOWN_SUBORDINATION f78d60474f214c8abed39d2e39daa6c3 + +f78d60474f214c8abed39d2e39daa6c3 1 The mandate was constitutional under the U.S. Congress 's taxing authority . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 321/527 # + +'In Burwell v. Hobby Lobby the Court ruled that closely-held for-profit corporations could be exempt on religious grounds under the Religious Freedom Restoration Act from regulations adopted under the ACA that would have required them to pay for insurance that covered certain contraceptives.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/UNKNOWN_SUBORDINATION ('that', SubordinationPostExtractor) + ├─────────────n─────────────> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalInitialExtractor) + | ├───s───> 'This was in Burwell v. Hobby Lobby .' + | └───n───> 'The Court ruled .' + └───s───> SUB/IDENTIFYING_DEFINITION ('that', RestrictiveRelativeClauseWhoWhichExtractor) + ├───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + | ├───s───> SUB/IDENTIFYING_DEFINITION ('', RestrictiveParticipialExtractor) + | | ├───n───> 'This was from regulations .' + | | └───s───> 'Regulations were adopted under the ACA .' + | └────────n────────> 'Closely-held for-profit corporations could be exempt on religious grounds under the Religious Freedom Restoration Act .' + └────────s────────> SUB/IDENTIFYING_DEFINITION ('that', RestrictiveRelativeClauseWhoWhichExtractor) + ├───n───> 'The ACA would have required them to pay for insurance .' + └───s───> 'Insurance covered certain contraceptives .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# In Burwell v. Hobby Lobby the Court ruled that closely-held for-profit corporations could be exempt on religious grounds under the Religious Freedom Restoration Act from regulations adopted under the ACA that would have required them to pay for insurance that covered certain contraceptives. + +b7f59e18993e43ffb0e56ccf6347b63c 0 The Court ruled . + S:UNKNOWN_SUBORDINATION This was in Burwell v. Hobby Lobby . + L:UNKNOWN_SUBORDINATION d5568eb1ed4e453cb8e9f8766ecae14a + +d5568eb1ed4e453cb8e9f8766ecae14a 1 Closely-held for-profit corporations could be exempt on religious grounds under the Religious Freedom Restoration Act . + L:UNKNOWN_SUBORDINATION 78db930e4a07454b83d414b83b3abc49 + L:IDENTIFYING_DEFINITION 6969e23c48834deb8734d73b0db0dc2f + +78db930e4a07454b83d414b83b3abc49 2 This was from regulations . + L:IDENTIFYING_DEFINITION 7296ca75cf404c17a7b19598b8e3c88f + +7296ca75cf404c17a7b19598b8e3c88f 3 Regulations were adopted under the ACA . + +6969e23c48834deb8734d73b0db0dc2f 2 The ACA would have required them to pay for insurance . + L:IDENTIFYING_DEFINITION d4ffe30fe5d7499190fafe65357eb29d + +d4ffe30fe5d7499190fafe65357eb29d 3 Insurance covered certain contraceptives . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 322/527 # + +'In June 2015, the Court ruled 6–3 in King v. Burwell that subsidies to help individuals and families purchase health insurance were authorized for those doing so on both the federal exchange and state exchanges, not only those purchasing plans established by the State, as the statute reads.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/UNKNOWN_SUBORDINATION ('that', SubordinationPostExtractor) + ├───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + | ├───s───> 'This was in June 2015 .' + | └───n───> 'The Court ruled 6 -- 3 in King v. Burwell .' + └────────s────────> 'Subsidies to help individuals and families purchase health insurance were authorized for those doing so on both the federal exchange and state exchanges , not only those purchasing plans established by the State , as the statute reads .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# In June 2015, the Court ruled 6–3 in King v. Burwell that subsidies to help individuals and families purchase health insurance were authorized for those doing so on both the federal exchange and state exchanges, not only those purchasing plans established by the State, as the statute reads. + +26d01c8c113e4e3f90f83ca629e43d74 0 The Court ruled 6 -- 3 in King v. Burwell . + S:TEMPORAL This was in June 2015 . + L:UNKNOWN_SUBORDINATION dde7a05ffb38400f924127ea2a0347ca + +dde7a05ffb38400f924127ea2a0347ca 1 Subsidies to help individuals and families purchase health insurance were authorized for those doing so on both the federal exchange and state exchanges , not only those purchasing plans established by the State , as the statute reads . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 323/527 # + +'Prior to June 2014, Obama offered substantial support for a broadly-based All of the above approach to domestic energy policy, which Obama has maintained since his first term and which he last confirmed at his State of the Union speech in January 2014 to a mixed reception by both parties.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/ATTRIBUTION (NULL, SubordinationPostAttributionExtractor) + ├───s───> 'This was what Obama offered substantial support for a broadly-based All of the above approach to domestic energy policy prior to June 2014 .' + └───n───> 'Which Obama has maintained since his first term and which he last confirmed at his State of the Union speech in January 2014 to a mixed reception by both parties .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# Prior to June 2014, Obama offered substantial support for a broadly-based All of the above approach to domestic energy policy, which Obama has maintained since his first term and which he last confirmed at his State of the Union speech in January 2014 to a mixed reception by both parties. + +5bcbeb1bc8b54295a35e80013f9ba750 0 Which Obama has maintained since his first term and which he last confirmed at his State of the Union speech in January 2014 to a mixed reception by both parties . + S:ATTRIBUTION This was what Obama offered substantial support for a broadly-based All of the above approach to domestic energy policy prior to June 2014 . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 324/527 # + +'In June 2014, Obama made indications that his administration would consider a shift towards an energy policy more closely tuned to the manufacturing industry and its impact on the domestic economy.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/UNKNOWN_SUBORDINATION ('that', SubordinationPostExtractor) + ├────────n────────> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + | ├───s───> 'This was in June 2014 .' + | └───n───> 'Obama made indications .' + └───s───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + ├───s───> CO/LIST (NULL, PostListNPExtractor) + | ├───n───> 'This was to the manufacturing industry .' + | └───n───> 'This was to its impact on the domestic economy .' + └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + ├───s───> 'This was towards an energy policy more closely tuned .' + └───n───> 'His administration would consider a shift .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# In June 2014, Obama made indications that his administration would consider a shift towards an energy policy more closely tuned to the manufacturing industry and its impact on the domestic economy. + +8c46495ee4c043ae97d0275ecd5102ef 0 Obama made indications . + S:TEMPORAL This was in June 2014 . + L:UNKNOWN_SUBORDINATION 177e6620094343e3925a4ed36152652c + +177e6620094343e3925a4ed36152652c 1 His administration would consider a shift . + S:UNKNOWN_SUBORDINATION This was towards an energy policy more closely tuned . + L:UNKNOWN_SUBORDINATION d9056b814fa44659bc0bc7680c3de6af + L:UNKNOWN_SUBORDINATION 797be43281ba4130ac16bcb0bb43b090 + +d9056b814fa44659bc0bc7680c3de6af 2 This was to the manufacturing industry . + L:LIST 797be43281ba4130ac16bcb0bb43b090 + +797be43281ba4130ac16bcb0bb43b090 2 This was to its impact on the domestic economy . + L:LIST d9056b814fa44659bc0bc7680c3de6af + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 325/527 # + +'Obama's approach of selectively combining regulation and incentive to various issues in the domestic energy policy, such as coal mining and oil fracking, has received mixed commentary for not being as responsive to the needs of the domestic manufacturing sector as needed, following claims that the domestic manufacturing sector utilizes as much as a third of the nation's available energy resources.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/UNKNOWN_SUBORDINATION ('that', SubordinationPostExtractor) + ├───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + | ├─────────────s─────────────> 'This was for not being as responsive to the needs of the domestic manufacturing sector as needed , following claims .' + | └───n───> SUB/IDENTIFYING_DEFINITION ('', RestrictiveParticipialExtractor) + | ├───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalMiddleFinalExtractor) + | | ├───s───> 'This was such as coal mining and oil .' + | | └───n───> 'Obama 's approach of selectively combining regulation and incentive to various issues in the domestic energy policy has received mixed commentary .' + | └────────s────────> 'Coal mining and oil were fracking .' + └──────────────────s──────────────────> 'The domestic manufacturing sector utilizes as much as a third of the nation 's available energy resources .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# Obama's approach of selectively combining regulation and incentive to various issues in the domestic energy policy, such as coal mining and oil fracking, has received mixed commentary for not being as responsive to the needs of the domestic manufacturing sector as needed, following claims that the domestic manufacturing sector utilizes as much as a third of the nation's available energy resources. + +f2fc2395923c43409c045db14d2575d6 0 Obama 's approach of selectively combining regulation and incentive to various issues in the domestic energy policy has received mixed commentary . + S:UNKNOWN_SUBORDINATION This was such as coal mining and oil . + S:UNKNOWN_SUBORDINATION This was for not being as responsive to the needs of the domestic manufacturing sector as needed , following claims . + L:IDENTIFYING_DEFINITION d0f6cfc81638403b9a518dad8b0cf8c5 + L:UNKNOWN_SUBORDINATION e0c262863c044881961726e426d30ad1 + +d0f6cfc81638403b9a518dad8b0cf8c5 1 Coal mining and oil were fracking . + +e0c262863c044881961726e426d30ad1 1 The domestic manufacturing sector utilizes as much as a third of the nation 's available energy resources . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 326/527 # + +'On January 16, 2013, one month after the Sandy Hook Elementary School shooting, Obama signed 23 executive orders and outlined a series of sweeping proposals regarding gun control.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> CO/LIST ('and', SharedNPPostCoordinationExtractor) + ├───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + | ├─────────────s─────────────> 'This was on January 16 , 2013 , one .' + | └───n───> CO/UNKNOWN_COORDINATION ('', SharedNPPreParticipalExtractor) + | ├───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + | | ├───s───> 'This was after the Sandy Hook Elementary School shooting .' + | | └───n───> 'Obama was month .' + | └────────n────────> 'Obama signed 23 executive orders .' + └───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + ├─────────────s─────────────> 'This was on January 16 , 2013 , one .' + └───n───> CO/UNKNOWN_COORDINATION ('', SharedNPPreParticipalExtractor) + ├───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + | ├───s───> 'This was after the Sandy Hook Elementary School shooting .' + | └───n───> 'Obama was month .' + └────────n────────> 'Obama outlined a series of sweeping proposals regarding gun control .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# On January 16, 2013, one month after the Sandy Hook Elementary School shooting, Obama signed 23 executive orders and outlined a series of sweeping proposals regarding gun control. + +116467ce9f5448f68665d982084cbb4b 0 Obama was month . + S:UNKNOWN_SUBORDINATION This was after the Sandy Hook Elementary School shooting . + S:TEMPORAL This was on January 16 , 2013 , one . + L:LIST 735f39c79b6548bcb35fd0330dfc9478 + L:LIST eb2638941d5a478f901970883fb0d055 + +022b957d77714a6ba9240db45a1ce4e2 0 Obama signed 23 executive orders . + S:TEMPORAL This was on January 16 , 2013 , one . + L:LIST 735f39c79b6548bcb35fd0330dfc9478 + L:LIST eb2638941d5a478f901970883fb0d055 + +735f39c79b6548bcb35fd0330dfc9478 0 Obama was month . + S:UNKNOWN_SUBORDINATION This was after the Sandy Hook Elementary School shooting . + S:TEMPORAL This was on January 16 , 2013 , one . + L:LIST 116467ce9f5448f68665d982084cbb4b + L:LIST 022b957d77714a6ba9240db45a1ce4e2 + +eb2638941d5a478f901970883fb0d055 0 Obama outlined a series of sweeping proposals regarding gun control . + S:TEMPORAL This was on January 16 , 2013 , one . + L:LIST 116467ce9f5448f68665d982084cbb4b + L:LIST 022b957d77714a6ba9240db45a1ce4e2 + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 327/527 # + +'He urged Congress to reintroduce an expired ban on military-style assault weapons, such as those used in several recent mass shootings, impose limits on ammunition magazines to 10 rounds, introduce background checks on all gun sales, pass a ban on possession and sale of armor-piercing bullets, introduce harsher penalties for gun-traffickers, especially unlicensed dealers who buy arms for criminals and approving the appointment of the head of the federal Bureau of Alcohol, Tobacco, Firearms and Explosives for the first time since 2006.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/ELABORATION (NULL, NonRestrictiveAppositionExtractor) + ├─────────────────────────────────s─────────────────────────────────> SUB/IDENTIFYING_DEFINITION ('who', RestrictiveRelativeClauseWhoWhichExtractor) + | ├───n───> 'Gun-traffickers were especially unlicensed dealers .' + | └───s───> 'Unlicensed dealers buy arms for criminals .' + └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + ├───────────────────────s───────────────────────> SUB/IDENTIFYING_DEFINITION ('', RestrictiveParticipialExtractor) + | ├───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalMiddleFinalExtractor) + | | ├───s───> 'This was such as those .' + | | └───n───> 'This was on military-style assault weapons .' + | └────────s────────> 'Those was used in several recent mass shootings .' + └───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) + ├────────────────────────────s────────────────────────────> 'This was to 10 rounds .' + └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + ├───────────────────────s───────────────────────> 'This was on ammunition magazines .' + └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + ├──────────────────s──────────────────> 'This was on all gun sales .' + └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + ├─────────────s─────────────> 'This was on possession and sale of armor-piercing bullets .' + └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + ├────────s────────> 'This was for gun-traffickers .' + └───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) + ├───s───> 'This was since 2006 .' + └───n───> 'He urged Congress to reintroduce an expired ban , impose limits , introduce background checks , pass a ban , introduce harsher penalties and approving the appointment of the head of the federal Bureau of Alcohol , Tobacco , Firearms and Explosives for the first time .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# He urged Congress to reintroduce an expired ban on military-style assault weapons, such as those used in several recent mass shootings, impose limits on ammunition magazines to 10 rounds, introduce background checks on all gun sales, pass a ban on possession and sale of armor-piercing bullets, introduce harsher penalties for gun-traffickers, especially unlicensed dealers who buy arms for criminals and approving the appointment of the head of the federal Bureau of Alcohol, Tobacco, Firearms and Explosives for the first time since 2006. + +ae3e99de6ea246a4844c880b85029890 0 He urged Congress to reintroduce an expired ban , impose limits , introduce background checks , pass a ban , introduce harsher penalties and approving the appointment of the head of the federal Bureau of Alcohol , Tobacco , Firearms and Explosives for the first time . + S:TEMPORAL This was since 2006 . + S:UNKNOWN_SUBORDINATION This was for gun-traffickers . + S:UNKNOWN_SUBORDINATION This was on possession and sale of armor-piercing bullets . + S:UNKNOWN_SUBORDINATION This was on all gun sales . + S:UNKNOWN_SUBORDINATION This was on ammunition magazines . + S:TEMPORAL This was to 10 rounds . + L:UNKNOWN_SUBORDINATION 38f1e0917acc431cae0f97559d7a1933 + L:ELABORATION 32b8c87729c04244a4f6fbdce763f87b + +38f1e0917acc431cae0f97559d7a1933 1 This was on military-style assault weapons . + S:UNKNOWN_SUBORDINATION This was such as those . + L:IDENTIFYING_DEFINITION a29ed58a50e24f979578332405c7875c + +a29ed58a50e24f979578332405c7875c 2 Those was used in several recent mass shootings . + +32b8c87729c04244a4f6fbdce763f87b 1 Gun-traffickers were especially unlicensed dealers . + L:IDENTIFYING_DEFINITION 0f10ceb18f2441719e76a568be976c12 + +0f10ceb18f2441719e76a568be976c12 2 Unlicensed dealers buy arms for criminals . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 328/527 # + +'On January 5, 2016, Obama announced new executive actions extending background check requirements to more gun sellers.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> CO/UNKNOWN_COORDINATION (NULL, SharedNPPostParticipalExtractor) + ├────────n────────> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + | ├───s───> 'This was on January 5 , 2016 .' + | └───n───> 'Obama announced new executive actions .' + └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + ├────────s────────> 'This was to more gun sellers .' + └───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + ├───s───> 'This was on January 5 , 2016 .' + └───n───> 'Obama was extending background check requirements .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# On January 5, 2016, Obama announced new executive actions extending background check requirements to more gun sellers. + +71e6a8dfc8844b24aa9563bda7d4fe50 0 Obama announced new executive actions . + S:TEMPORAL This was on January 5 , 2016 . + +402c441c159442f4bf875bbea92a1aa7 0 Obama was extending background check requirements . + S:TEMPORAL This was on January 5 , 2016 . + S:UNKNOWN_SUBORDINATION This was to more gun sellers . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 329/527 # + +'In a 2016 editorial in the New York Times, Obama compared the struggle for what he termed common-sense gun reform to women's suffrage and other civil rights movements in American history.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + ├────────s────────> 'This was in a 2016 editorial in the New York Times .' + └───n───> CO/LIST (NULL, PostListNPExtractor) + ├───n───> 'Obama compared the struggle for what he termed common-sense gun reform to women 's suffrage .' + └───n───> 'Obama compared the struggle for what he termed common-sense gun reform to other civil rights movements in American history .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# In a 2016 editorial in the New York Times, Obama compared the struggle for what he termed common-sense gun reform to women's suffrage and other civil rights movements in American history. + +153be660f6944924b53f7bfc7785bc23 0 Obama compared the struggle for what he termed common-sense gun reform to women 's suffrage . + S:TEMPORAL This was in a 2016 editorial in the New York Times . + L:LIST 0408291b39834833bc8889c367f52e6a + +0408291b39834833bc8889c367f52e6a 0 Obama compared the struggle for what he termed common-sense gun reform to other civil rights movements in American history . + S:TEMPORAL This was in a 2016 editorial in the New York Times . + L:LIST 153be660f6944924b53f7bfc7785bc23 + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 330/527 # + +'Main articles: United States House of Representatives elections, 2010 and United States Senate elections, 2010' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> 'Main articles : United States House of Representatives elections , 2010 and United States Senate elections , 2010' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# Main articles: United States House of Representatives elections, 2010 and United States Senate elections, 2010 + +7e239e8cc5b449dea530ea6a52cd0b45 0 Main articles : United States House of Representatives elections , 2010 and United States Senate elections , 2010 + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 331/527 # + +'Obama called the November 2, 2010 election, where the Democratic Party lost 63 seats in, and control of, the House of Representatives, humbling and a shellacking.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/SPATIAL (NULL, NonRestrictiveRelativeClauseWhereExtractor) + ├────────n────────> CO/LIST (NULL, PostListNPExtractor) + | ├───n───> 'Obama called the November 2 , 2010 election the House of Representatives .' + | ├───n───> 'Obama called the November 2 , 2010 election the House of humbling .' + | └───n───> 'Obama called the November 2 , 2010 election the House of a shellacking .' + └───s───> CO/LIST (', and', SharedNPPostCoordinationExtractor) + ├───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + | ├───s───> 'This was in .' + | └───n───> 'The Democratic Party lost 63 seats .' + └────────n────────> 'The Democratic Party control of .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# Obama called the November 2, 2010 election, where the Democratic Party lost 63 seats in, and control of, the House of Representatives, humbling and a shellacking. + +b948adbaa6614b669bb5f32dc033496a 0 Obama called the November 2 , 2010 election the House of Representatives . + L:LIST 1225620fbe084f5aac2b9a6ac84a5552 + L:LIST 3cafec7b699c49dbb05459b966c23973 + L:SPATIAL 69188dd5ad664806a91fb8b379ab68cf + L:SPATIAL 0e3665946d924d0c8e87b235eecd6fb4 + +1225620fbe084f5aac2b9a6ac84a5552 0 Obama called the November 2 , 2010 election the House of humbling . + L:LIST 3cafec7b699c49dbb05459b966c23973 + L:LIST b948adbaa6614b669bb5f32dc033496a + L:SPATIAL 69188dd5ad664806a91fb8b379ab68cf + L:SPATIAL 0e3665946d924d0c8e87b235eecd6fb4 + +3cafec7b699c49dbb05459b966c23973 0 Obama called the November 2 , 2010 election the House of a shellacking . + L:LIST b948adbaa6614b669bb5f32dc033496a + L:LIST 1225620fbe084f5aac2b9a6ac84a5552 + L:SPATIAL 69188dd5ad664806a91fb8b379ab68cf + L:SPATIAL 0e3665946d924d0c8e87b235eecd6fb4 + +69188dd5ad664806a91fb8b379ab68cf 1 The Democratic Party lost 63 seats . + S:UNKNOWN_SUBORDINATION This was in . + L:LIST 0e3665946d924d0c8e87b235eecd6fb4 + +0e3665946d924d0c8e87b235eecd6fb4 1 The Democratic Party control of . + L:LIST 69188dd5ad664806a91fb8b379ab68cf + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 332/527 # + +'He said that the results came because not enough Americans had felt the effects of the economic recovery.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/ATTRIBUTION (NULL, SubordinationPostAttributionExtractor2) + ├────────s────────> 'This was what he said .' + └───n───> SUB/CAUSE ('because', SubordinationPostExtractor) + ├───n───> 'The results came .' + └───s───> 'Not enough Americans had felt the effects of the economic recovery .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# He said that the results came because not enough Americans had felt the effects of the economic recovery. + +fd79e89c7eea4be6bbe0c4dbb310b92c 0 The results came . + S:ATTRIBUTION This was what he said . + L:CAUSE 6f0edd85338b4975a2d7bbb833f37d97 + +6f0edd85338b4975a2d7bbb833f37d97 1 Not enough Americans had felt the effects of the economic recovery . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 333/527 # + +'On November 10, 2014, President Obama recommended the Federal Communications Commission reclassify broadband Internet service as a telecommunications service in order to preserve net neutrality.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) + ├──────────────────s──────────────────> 'Obama was President .' + └───n───> SUB/UNKNOWN_SUBORDINATION ('', SubordinationPostExtractor) + ├────────n────────> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + | ├───s───> 'This was on November 10 , 2014 .' + | └───n───> 'Obama recommended .' + └───s───> SUB/PURPOSE (NULL, SubordinationPostPurposeExtractor) + ├───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + | ├───s───> 'This was as a telecommunications service .' + | └───n───> 'The Federal Communications Commission reclassify broadband Internet service .' + └────────s────────> 'This was to preserve net neutrality .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# On November 10, 2014, President Obama recommended the Federal Communications Commission reclassify broadband Internet service as a telecommunications service in order to preserve net neutrality. + +1c03c9d6d2594227bde00ded0479126f 0 Obama recommended . + S:TEMPORAL This was on November 10 , 2014 . + L:UNKNOWN_SUBORDINATION af08c85e7628481290ef6f3675960da3 + L:ELABORATION a191f67bc7dd44268573e34fb89c61a3 + +af08c85e7628481290ef6f3675960da3 1 The Federal Communications Commission reclassify broadband Internet service . + S:UNKNOWN_SUBORDINATION This was as a telecommunications service . + S:PURPOSE This was to preserve net neutrality . + +a191f67bc7dd44268573e34fb89c61a3 1 Obama was President . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 334/527 # + +'On February 12, 2013, President Obama signed Executive Order 13636, Improving Critical Infrastructure Cybersecurity.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) + ├─────────────s─────────────> 'Obama was President .' + └───n───> CO/UNKNOWN_COORDINATION (NULL, SharedNPPostParticipalExtractor) + ├───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + | ├───s───> 'This was on February 12 , 2013 .' + | └───n───> 'Obama signed Executive Order 13636 .' + └───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + ├───s───> 'This was on February 12 , 2013 .' + └───n───> 'Obama was improving Critical Infrastructure Cybersecurity .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# On February 12, 2013, President Obama signed Executive Order 13636, Improving Critical Infrastructure Cybersecurity. + +9d699780eaea44f2b5cbda65aea791c7 0 Obama signed Executive Order 13636 . + S:TEMPORAL This was on February 12 , 2013 . + L:ELABORATION 3b3d1df4226249fd8e187d837d11684e + +4363f8f7af6147249f87fec8e2d0def2 0 Obama was improving Critical Infrastructure Cybersecurity . + S:TEMPORAL This was on February 12 , 2013 . + L:ELABORATION 3b3d1df4226249fd8e187d837d11684e + +3b3d1df4226249fd8e187d837d11684e 1 Obama was President . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 335/527 # + +'In February and March 2009, Vice President Joe Biden and Secretary of State Hillary Clinton made separate overseas trips to announce a new era in U.S. foreign relations with Russia and Europe, using the terms break and reset to signal major changes from the policies of the preceding administration.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) + ├───────────────────────s───────────────────────> 'Joe Biden was Vice President .' + └───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) + ├──────────────────s──────────────────> 'Hillary Clinton was Joe Biden and Secretary of State .' + └───n───> SUB/PURPOSE (NULL, PurposePostExtractor) + ├───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + | ├───s───> CO/LIST (NULL, PostListNPExtractor) + | | ├───n───> 'This was in February .' + | | └───n───> 'This was in March 2009 .' + | └────────n────────> 'Hillary Clinton made separate overseas trips .' + └─────────────s─────────────> 'This was to announce a new era in U.S. foreign relations with Russia and Europe , using the terms break and reset to signal major changes from the policies of the preceding administration .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# In February and March 2009, Vice President Joe Biden and Secretary of State Hillary Clinton made separate overseas trips to announce a new era in U.S. foreign relations with Russia and Europe, using the terms break and reset to signal major changes from the policies of the preceding administration. + +61a4fd9d3f9242b089f5c0665dd982c8 0 Hillary Clinton made separate overseas trips . + S:PURPOSE This was to announce a new era in U.S. foreign relations with Russia and Europe , using the terms break and reset to signal major changes from the policies of the preceding administration . + L:TEMPORAL 1471d3481b344b248c9ad432a46cf0da + L:TEMPORAL 19ffa4e4469746ae9a633bba4cc4aea1 + L:ELABORATION c85df32ecc1d4b67b1b9e434e574b50b + L:ELABORATION 96b9d451e8f4454d8bbfad2b52dece58 + +1471d3481b344b248c9ad432a46cf0da 1 This was in February . + L:LIST 19ffa4e4469746ae9a633bba4cc4aea1 + +19ffa4e4469746ae9a633bba4cc4aea1 1 This was in March 2009 . + L:LIST 1471d3481b344b248c9ad432a46cf0da + +c85df32ecc1d4b67b1b9e434e574b50b 1 Hillary Clinton was Joe Biden and Secretary of State . + +96b9d451e8f4454d8bbfad2b52dece58 1 Joe Biden was Vice President . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 336/527 # + +'Obama attempted to reach out to Arab leaders by granting his first interview to an Arab satellite TV network, Al Arabiya.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/ELABORATION (NULL, NonRestrictiveAppositionExtractor) + ├───s───> 'Al Arabiya was an Arab satellite TV network .' + └───n───> 'Obama attempted to reach out to Arab leaders by granting his first interview to an Arab satellite TV network .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# Obama attempted to reach out to Arab leaders by granting his first interview to an Arab satellite TV network, Al Arabiya. + +c40d982fc9854ff1aba1ddaba0503afc 0 Obama attempted to reach out to Arab leaders by granting his first interview to an Arab satellite TV network . + L:ELABORATION 500fd412cceb48aeb6d9311cab956fcf + +500fd412cceb48aeb6d9311cab956fcf 1 Al Arabiya was an Arab satellite TV network . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 337/527 # + +'On March 19, Obama continued his outreach to the Muslim world, releasing a New Year's video message to the people and government of Iran.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> CO/UNKNOWN_COORDINATION (NULL, SharedNPPostParticipalExtractor) + ├───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + | ├────────s────────> 'This was to the Muslim world .' + | └───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + | ├───s───> 'This was on March 19 .' + | └───n───> 'Obama continued his outreach .' + └───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) + ├────────s────────> 'This was to the people and government of Iran .' + └───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + ├───s───> 'This was on March 19 .' + └───n───> 'Obama was releasing a New Year 's video message .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# On March 19, Obama continued his outreach to the Muslim world, releasing a New Year's video message to the people and government of Iran. + +e31b521ac8c94cf88e5c74ffa9bbd220 0 Obama continued his outreach . + S:TEMPORAL This was on March 19 . + S:UNKNOWN_SUBORDINATION This was to the Muslim world . + +2e4c90ada5c8490db5a9e6fbe6b24b0d 0 Obama was releasing a New Year 's video message . + S:TEMPORAL This was on March 19 . + S:SPATIAL This was to the people and government of Iran . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 338/527 # + +'In April, Obama gave a speech in Ankara, Turkey, which was well received by many Arab governments.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/DESCRIBING_DEFINITION ('which', NonRestrictiveRelativeClauseWhoWhichExtractor) + ├───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) + | ├────────s────────> 'This was in Ankara , Turkey .' + | └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalInitialExtractor) + | ├───s───> 'This was in April .' + | └───n───> 'Obama gave a speech .' + └─────────────s─────────────> 'Turkey was well received by many Arab governments .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# In April, Obama gave a speech in Ankara, Turkey, which was well received by many Arab governments. + +8a2ad311bf7040ca82fa3905da79d00f 0 Obama gave a speech . + S:UNKNOWN_SUBORDINATION This was in April . + S:SPATIAL This was in Ankara , Turkey . + L:DESCRIBING_DEFINITION 32cb3676aba44800861ee1e15e9c4d64 + +32cb3676aba44800861ee1e15e9c4d64 1 Turkey was well received by many Arab governments . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 339/527 # + +'On June 4, 2009, Obama delivered a speech at Cairo University in Egypt calling for A New Beginning in relations between the Islamic world and the United States and promoting Middle East peace.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> CO/UNKNOWN_COORDINATION (NULL, SharedNPPostParticipalExtractor) + ├───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + | ├─────────────s─────────────> 'This was at Cairo University .' + | └───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) + | ├────────s────────> 'This was in Egypt .' + | └───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + | ├───s───> 'This was on June 4 , 2009 .' + | └───n───> 'Obama delivered a speech .' + └───n───> CO/LIST ('and', SharedNPPostCoordinationExtractor) + ├───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) + | ├───s───> CO/LIST (NULL, PostListNPExtractor) + | | ├───n───> 'This was beginning in relations between the Islamic world .' + | | └───n───> 'This was beginning in relations between the United States .' + | └───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + | ├───s───> 'This was on June 4 , 2009 .' + | └───n───> 'Obama was calling for A New .' + └────────n────────> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + ├───s───> 'This was on June 4 , 2009 .' + └───n───> 'Obama was promoting Middle East peace .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# On June 4, 2009, Obama delivered a speech at Cairo University in Egypt calling for A New Beginning in relations between the Islamic world and the United States and promoting Middle East peace. + +c939cb2f260a4921a6bc286643ad5226 0 Obama delivered a speech . + S:TEMPORAL This was on June 4 , 2009 . + S:SPATIAL This was in Egypt . + S:UNKNOWN_SUBORDINATION This was at Cairo University . + +d7c221fbb4ee442d9bef7f67773dff08 0 Obama was calling for A New . + S:TEMPORAL This was on June 4 , 2009 . + L:SPATIAL a574a7528cc94c82a8f48de0f7efae83 + L:SPATIAL 84e4207005e14b9799f37950d194c700 + L:LIST 438982ee478c4f648f0ac6021568ab5d + +a574a7528cc94c82a8f48de0f7efae83 1 This was beginning in relations between the Islamic world . + L:LIST 84e4207005e14b9799f37950d194c700 + +84e4207005e14b9799f37950d194c700 1 This was beginning in relations between the United States . + L:LIST a574a7528cc94c82a8f48de0f7efae83 + +438982ee478c4f648f0ac6021568ab5d 0 Obama was promoting Middle East peace . + S:TEMPORAL This was on June 4 , 2009 . + L:LIST d7c221fbb4ee442d9bef7f67773dff08 + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 340/527 # + +'On June 26, 2009, Obama responded to the Iranian government's actions towards protesters following Iran's 2009 presidential election by saying: The violence perpetrated against them is outrageous.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> CO/UNKNOWN_COORDINATION (':', CoordinationExtractor) + ├───n───> CO/UNKNOWN_COORDINATION (NULL, SharedNPPostParticipalExtractor) + | ├───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) + | | ├────────s────────> 'This was towards protesters following Iran 's 2009 presidential election .' + | | └───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + | | ├───s───> 'This was on June 26 , 2009 .' + | | └───n───> 'Obama responded to the Iranian government 's actions .' + | └────────n────────> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + | ├───s───> 'This was on June 26 , 2009 .' + | └───n───> 'Obama was saying .' + └──────────────────n──────────────────> 'The violence perpetrated against them is outrageous .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# On June 26, 2009, Obama responded to the Iranian government's actions towards protesters following Iran's 2009 presidential election by saying: The violence perpetrated against them is outrageous. + +fde58f851fb74893bc0a8b474f691361 0 Obama responded to the Iranian government 's actions . + S:TEMPORAL This was on June 26 , 2009 . + S:TEMPORAL This was towards protesters following Iran 's 2009 presidential election . + +c5c7b724bf4240a6a120813c2b92c7d8 0 Obama was saying . + S:TEMPORAL This was on June 26 , 2009 . + +b22d079f3c704034a5643ad1a37c3853 0 The violence perpetrated against them is outrageous . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 341/527 # + +'We see it and we condemn it.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> 'We see it and we condemn it .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# We see it and we condemn it. + +b3b6953b37e5482b94ae47410dc8b82b 0 We see it and we condemn it . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 342/527 # + +'While in Moscow on July 7, he responded Vice President Biden's comment on a possible Israeli military strike on Iran by saying: We have said directly to the Israelis that it is important to try and resolve this in an international setting in a way that does not create major conflict in the Middle East.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) + ├────────────────────────────s────────────────────────────> 'Biden was Vice President .' + └───n───> CO/UNKNOWN_COORDINATION (NULL, SharedNPPostParticipalExtractor) + ├────────n────────> SUB/ATTRIBUTION (NULL, SubordinationPostAttributionExtractor2) + | ├─────────────s─────────────> 'This was what he responded Biden 's comment on a possible Israeli military strike on Iran .' + | └───n───> SUB/IDENTIFYING_DEFINITION ('that', RestrictiveRelativeClauseWhoWhichExtractor) + | ├────────n────────> 'It is important to try and resolve this in an international setting in a way .' + | └───s───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) + | ├───s───> 'This is in the Middle East .' + | └───n───> 'A way does not create major conflict .' + └───n───> CO/UNKNOWN_COORDINATION (':', CoordinationExtractor) + ├─────────────n─────────────> SUB/ATTRIBUTION (NULL, PreAttributionExtractor) + | ├───n───> 'While in Moscow on July 7 .' + | └───s───> 'This was what he was saying .' + └───n───> SUB/ATTRIBUTION (NULL, SubordinationPostAttributionExtractor2) + ├─────────────s─────────────> 'This was what we have said directly to the Israelis .' + └───n───> SUB/IDENTIFYING_DEFINITION ('that', RestrictiveRelativeClauseWhoWhichExtractor) + ├────────n────────> 'It is important to try and resolve this in an international setting in a way .' + └───s───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) + ├───s───> 'This is in the Middle East .' + └───n───> 'A way does not create major conflict .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# While in Moscow on July 7, he responded Vice President Biden's comment on a possible Israeli military strike on Iran by saying: We have said directly to the Israelis that it is important to try and resolve this in an international setting in a way that does not create major conflict in the Middle East. + +192f44e7083a4588bf0d7056a410383b 0 It is important to try and resolve this in an international setting in a way . + S:ATTRIBUTION This was what he responded Biden 's comment on a possible Israeli military strike on Iran . + L:IDENTIFYING_DEFINITION c18b3d04b33640ea921732950227f93f + L:ELABORATION 36f86dc67e7949fd81eb09fae919f69a + +c18b3d04b33640ea921732950227f93f 1 A way does not create major conflict . + S:SPATIAL This is in the Middle East . + +73bf1b3ba7d842649d70d3eb87698f36 0 While in Moscow on July 7 . + S:ATTRIBUTION This was what he was saying . + L:ELABORATION 36f86dc67e7949fd81eb09fae919f69a + +6ff0e2172bb445d2b2a93c344e4a6911 0 It is important to try and resolve this in an international setting in a way . + S:ATTRIBUTION This was what we have said directly to the Israelis . + L:IDENTIFYING_DEFINITION a6098a703c6f49d2bd89d5b84e044064 + L:ELABORATION 36f86dc67e7949fd81eb09fae919f69a + +a6098a703c6f49d2bd89d5b84e044064 1 A way does not create major conflict . + S:SPATIAL This is in the Middle East . + +36f86dc67e7949fd81eb09fae919f69a 1 Biden was Vice President . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 343/527 # + +'On September 24, 2009, Obama became the first sitting U.S. President to preside over a meeting of the United Nations Security Council.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> CO/UNKNOWN_COORDINATION (NULL, SharedNPPostParticipalExtractor) + ├───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + | ├───s───> 'This was on September 24 , 2009 .' + | └───n───> 'Obama became the first .' + └───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + ├───s───> 'This was on September 24 , 2009 .' + └───n───> 'Obama was sitting U.S. President to preside over a meeting of the United Nations Security Council .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# On September 24, 2009, Obama became the first sitting U.S. President to preside over a meeting of the United Nations Security Council. + +9db0bbdca0c34aeda87374c1d4956381 0 Obama became the first . + S:TEMPORAL This was on September 24 , 2009 . + +a3507410c8c54acc9b1852928bdd13d8 0 Obama was sitting U.S. President to preside over a meeting of the United Nations Security Council . + S:TEMPORAL This was on September 24 , 2009 . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 344/527 # + +'In March 2010, Obama took a public stance against plans by the government of Israeli Prime Minister Benjamin Netanyahu to continue building Jewish housing projects in predominantly Arab neighborhoods of East Jerusalem.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) + ├───────────────────────s───────────────────────> 'Benjamin Netanyahu was Israeli Prime Minister .' + └───n───> SUB/PURPOSE (NULL, PurposePostExtractor) + ├───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + | ├─────────────s─────────────> 'This was against plans .' + | └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + | ├────────s────────> 'This was by the government of Benjamin Netanyahu .' + | └───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + | ├───s───> 'This was in March 2010 .' + | └───n───> 'Obama took a public stance .' + └──────────────────s──────────────────> 'This was to continue building Jewish housing projects in predominantly Arab neighborhoods of East Jerusalem .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# In March 2010, Obama took a public stance against plans by the government of Israeli Prime Minister Benjamin Netanyahu to continue building Jewish housing projects in predominantly Arab neighborhoods of East Jerusalem. + +b476c238ece64282837c47d7685c6449 0 Obama took a public stance . + S:TEMPORAL This was in March 2010 . + S:UNKNOWN_SUBORDINATION This was by the government of Benjamin Netanyahu . + S:UNKNOWN_SUBORDINATION This was against plans . + S:PURPOSE This was to continue building Jewish housing projects in predominantly Arab neighborhoods of East Jerusalem . + L:ELABORATION 21e3f7dd9df948bdae0a3f379cec38fd + +21e3f7dd9df948bdae0a3f379cec38fd 1 Benjamin Netanyahu was Israeli Prime Minister . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 345/527 # + +'During the same month, an agreement was reached with the administration of Russian President Dmitry Medvedev to replace the 1991 Strategic Arms Reduction Treaty with a new pact reducing the number of long-range nuclear weapons in the arsenals of both countries by about one-third.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) + ├─────────────s─────────────> 'Dmitry Medvedev was Russian President .' + └───n───> SUB/PURPOSE (NULL, PurposePostExtractor) + ├───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalInitialExtractor) + | ├───s───> 'This was during the same month .' + | └───n───> 'An agreement was reached with the administration of Dmitry Medvedev .' + └────────s────────> 'This was to replace the 1991 Strategic Arms Reduction Treaty with a new pact reducing the number of long-range nuclear weapons in the arsenals of both countries by about one-third .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# During the same month, an agreement was reached with the administration of Russian President Dmitry Medvedev to replace the 1991 Strategic Arms Reduction Treaty with a new pact reducing the number of long-range nuclear weapons in the arsenals of both countries by about one-third. + +963c299e4532453f8f6ae354d92d2b67 0 An agreement was reached with the administration of Dmitry Medvedev . + S:UNKNOWN_SUBORDINATION This was during the same month . + S:PURPOSE This was to replace the 1991 Strategic Arms Reduction Treaty with a new pact reducing the number of long-range nuclear weapons in the arsenals of both countries by about one-third . + L:ELABORATION 99b6f9f4825a4107b4e4674b7272d6b7 + +99b6f9f4825a4107b4e4674b7272d6b7 1 Dmitry Medvedev was Russian President . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 346/527 # + +'Obama and Medvedev signed the New START treaty in April 2010, and the U.S. Senate ratified it in December 2010.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> CO/LIST (', and', CoordinationExtractor) + ├────────n────────> 'Obama and Medvedev signed the New START treaty in April 2010 .' + └───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) + ├───s───> 'This was in December 2010 .' + └───n───> 'The U.S. Senate ratified it .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# Obama and Medvedev signed the New START treaty in April 2010, and the U.S. Senate ratified it in December 2010. + +96bfb84c15b64b08926fc4db6ec4de6e 0 Obama and Medvedev signed the New START treaty in April 2010 . + L:LIST 6cf45132911d4d10beb7bb4adc4b8547 + +6cf45132911d4d10beb7bb4adc4b8547 0 The U.S. Senate ratified it . + S:TEMPORAL This was in December 2010 . + L:LIST 96bfb84c15b64b08926fc4db6ec4de6e + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 347/527 # + +'In December 2011, Obama instructed agencies to consider LGBT rights when issuing financial aid to foreign countries.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/PURPOSE (NULL, PurposePostExtractor) + ├───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + | ├───s───> 'This was in December 2011 .' + | └───n───> 'Obama instructed agencies .' + └────────s────────> 'This was to consider LGBT rights when issuing financial aid to foreign countries .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# In December 2011, Obama instructed agencies to consider LGBT rights when issuing financial aid to foreign countries. + +fabf5d10bff247408d876f15231046fe 0 Obama instructed agencies . + S:TEMPORAL This was in December 2011 . + S:PURPOSE This was to consider LGBT rights when issuing financial aid to foreign countries . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 348/527 # + +'In August 2013, he criticized Russia's law that discriminated against gays, but he stopped short of advocating a boycott of the upcoming 2014 Winter Olympics in Sochi, Russia.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> CO/CONTRAST (', but', CoordinationExtractor) + ├───n───> SUB/IDENTIFYING_DEFINITION ('that', RestrictiveRelativeClauseWhoWhichExtractor) + | ├───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + | | ├───s───> 'This was in August 2013 .' + | | └───n───> 'He criticized Russia 's law .' + | └────────s────────> 'Russia 's law discriminated against gays .' + └─────────────n─────────────> 'He stopped short of advocating a boycott of the upcoming 2014 Winter Olympics in Sochi , Russia .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# In August 2013, he criticized Russia's law that discriminated against gays, but he stopped short of advocating a boycott of the upcoming 2014 Winter Olympics in Sochi, Russia. + +a378c3dcaed0486ba57f8efb59e56696 0 He criticized Russia 's law . + S:TEMPORAL This was in August 2013 . + L:IDENTIFYING_DEFINITION 579459100abf4a66809ac95e3265541f + L:CONTRAST ba4a574b4c96442fabf598c834fe6f3c + +579459100abf4a66809ac95e3265541f 1 Russia 's law discriminated against gays . + +ba4a574b4c96442fabf598c834fe6f3c 0 He stopped short of advocating a boycott of the upcoming 2014 Winter Olympics in Sochi , Russia . + L:CONTRAST a378c3dcaed0486ba57f8efb59e56696 + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 349/527 # + +'In December 2014, Obama announced that he intended to normalize relationships between Cuba and the United States.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/ATTRIBUTION (NULL, SubordinationPostAttributionExtractor2) + ├────────s────────> 'This was what Obama announced in December 2014 .' + └───n───> CO/LIST (NULL, PostListNPExtractor) + ├───n───> 'He intended to normalize relationships between Cuba .' + └───n───> 'He intended to normalize relationships between the United States .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# In December 2014, Obama announced that he intended to normalize relationships between Cuba and the United States. + +c643426846e3435d888bb50a5660a442 0 He intended to normalize relationships between Cuba . + S:ATTRIBUTION This was what Obama announced in December 2014 . + L:LIST 5774f027e080474eac517b9aff6c4e1b + +5774f027e080474eac517b9aff6c4e1b 0 He intended to normalize relationships between the United States . + S:ATTRIBUTION This was what Obama announced in December 2014 . + L:LIST c643426846e3435d888bb50a5660a442 + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 350/527 # + +'The countries' respective interests sections in one another's capitals were upgraded to embassies on July 20, 2015.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/IDENTIFYING_DEFINITION ('', RestrictiveRelativeClauseWithoutRelativePronounExtractor) + ├───n───> 'The countries ' respective interests sections in one were upgraded to embassies on July 20 , 2015 .' + └───s───> 'Another 's capitals one .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# The countries' respective interests sections in one another's capitals were upgraded to embassies on July 20, 2015. + +2a5d3ff872b644d49af37fa73422376c 0 The countries ' respective interests sections in one were upgraded to embassies on July 20 , 2015 . + L:IDENTIFYING_DEFINITION f3e95a591f7b4d1c859f24ff2d431bd0 + +f3e95a591f7b4d1c859f24ff2d431bd0 1 Another 's capitals one . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 351/527 # + +'In March 2015, Obama declared that he had authorized U.S. forces to provide logistical and intelligence support to the Saudis in their military intervention in Yemen, establishing a Joint Planning Cell with Saudi Arabia.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/ATTRIBUTION (NULL, SubordinationPostAttributionExtractor2) + ├─────────────s─────────────> 'This was what Obama declared in March 2015 .' + └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + ├────────s────────> 'This was to the Saudis .' + └───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) + ├───s───> 'This was in their military intervention in Yemen .' + └───n───> 'He had authorized U.S. forces to provide logistical and intelligence support , establishing a Joint Planning Cell with Saudi Arabia .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# In March 2015, Obama declared that he had authorized U.S. forces to provide logistical and intelligence support to the Saudis in their military intervention in Yemen, establishing a Joint Planning Cell with Saudi Arabia. + +6a2c32ee07bd4ba793526122132a2b77 0 He had authorized U.S. forces to provide logistical and intelligence support , establishing a Joint Planning Cell with Saudi Arabia . + S:SPATIAL This was in their military intervention in Yemen . + S:UNKNOWN_SUBORDINATION This was to the Saudis . + S:ATTRIBUTION This was what Obama declared in March 2015 . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 352/527 # + +'In 2016, the Obama administration proposed a series of arms deals with Saudi Arabia worth $115 billion.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) + ├─────────────s─────────────> 'This was with Saudi Arabia .' + └───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) + ├────────s────────> 'This was worth $ 115 billion .' + └───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + ├───s───> 'This was in 2016 .' + └───n───> 'The Obama administration proposed a series of arms deals .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# In 2016, the Obama administration proposed a series of arms deals with Saudi Arabia worth $115 billion. + +c55bd1e4e2754ce68acde8f455df347f 0 The Obama administration proposed a series of arms deals . + S:TEMPORAL This was in 2016 . + S:TEMPORAL This was worth $ 115 billion . + S:SPATIAL This was with Saudi Arabia . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 353/527 # + +'Obama halted the sale of guided munition technology to Saudi Arabia after Saudi warplanes targeted a funeral in Yemen's capital Sanaa, killing more than 140 people.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) + ├──────────────────s──────────────────> 'Sanaa was capital .' + └───n───> SUB/TEMPORAL_BEFORE ('after', SubordinationPostExtractor) + ├────────n────────> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) + | ├───s───> 'This was to Saudi Arabia .' + | └───n───> 'Obama halted the sale of guided munition technology .' + └───s───> CO/UNKNOWN_COORDINATION (NULL, SharedNPPostParticipalExtractor) + ├───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) + | ├───s───> 'This was in Yemen 's Sanaa .' + | └───n───> 'Saudi warplanes targeted a funeral .' + └────────n────────> 'Saudi warplanes were killing more than 140 people .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# Obama halted the sale of guided munition technology to Saudi Arabia after Saudi warplanes targeted a funeral in Yemen's capital Sanaa, killing more than 140 people. + +7c1a71582b7a4e58a1ffeb32edbe3189 0 Obama halted the sale of guided munition technology . + S:SPATIAL This was to Saudi Arabia . + L:TEMPORAL_BEFORE 839d04a3a261439a9d87834d7606d821 + L:TEMPORAL_BEFORE 5f8341d6af9e4fc89d84d16cc4538778 + L:ELABORATION e92da0405e1943efa85b5857a60da48e + +839d04a3a261439a9d87834d7606d821 1 Saudi warplanes targeted a funeral . + S:SPATIAL This was in Yemen 's Sanaa . + +5f8341d6af9e4fc89d84d16cc4538778 1 Saudi warplanes were killing more than 140 people . + +e92da0405e1943efa85b5857a60da48e 1 Sanaa was capital . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 354/527 # + +'Before leaving office, Obama said German Chancellor Angela Merkel had been his closest international partner throughout his tenure as president.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) + ├──────────────────s──────────────────> 'Angela Merkel was German Chancellor .' + └───n───> SUB/TEMPORAL_AFTER ('Before', SharedNPPreParticipalExtractor) + ├─────────────s─────────────> 'Obama was leaving office .' + └───n───> SUB/ATTRIBUTION (NULL, SubordinationPostAttributionExtractor) + ├────────s────────> 'This was what Obama said .' + └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + ├───s───> 'This was as president .' + └───n───> 'Angela Merkel had been his closest international partner throughout his tenure .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# Before leaving office, Obama said German Chancellor Angela Merkel had been his closest international partner throughout his tenure as president. + +96a8c0a8541a41a3b0a834683cac693b 0 Angela Merkel had been his closest international partner throughout his tenure . + S:UNKNOWN_SUBORDINATION This was as president . + S:ATTRIBUTION This was what Obama said . + L:TEMPORAL_AFTER 5f70478eebb64a5dbb1aea53eb5bb176 + L:ELABORATION 7eb1b249e6a2402a90883e36aa859c70 + +5f70478eebb64a5dbb1aea53eb5bb176 1 Obama was leaving office . + +7eb1b249e6a2402a90883e36aa859c70 1 Angela Merkel was German Chancellor . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 355/527 # + +'On February 27, 2009, Obama announced that combat operations in Iraq would end within 18 months.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/ATTRIBUTION (NULL, SubordinationPostAttributionExtractor2) + ├───s───> 'This was what Obama announced on February 27 , 2009 .' + └───n───> 'Combat operations in Iraq would end within 18 months .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# On February 27, 2009, Obama announced that combat operations in Iraq would end within 18 months. + +f5cfacb0901d4de49c9c711b05a35aff 0 Combat operations in Iraq would end within 18 months . + S:ATTRIBUTION This was what Obama announced on February 27 , 2009 . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 356/527 # + +'His remarks were made to a group of Marines preparing for deployment to Afghanistan.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> CO/UNKNOWN_COORDINATION (NULL, SharedNPPostParticipalExtractor) + ├────────n────────> 'His remarks were made to a group of Marines .' + └───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) + ├───s───> 'This was to Afghanistan .' + └───n───> 'His remarks were preparing for deployment .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# His remarks were made to a group of Marines preparing for deployment to Afghanistan. + +44ae72d3b2174d4aaacba806bbad0b1a 0 His remarks were made to a group of Marines . + +3280ff0ab21b485bad3555dd8a81fa0b 0 His remarks were preparing for deployment . + S:SPATIAL This was to Afghanistan . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 357/527 # + +'Obama said, Let me say this as plainly as I can: by August 31, 2010, our combat mission in Iraq will end.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> CO/UNKNOWN_COORDINATION (':', CoordinationExtractor) + ├────────n────────> 'Obama said , Let me say this as plainly as I can .' + └───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + ├───s───> 'This is by August 31 , 2010 .' + └───n───> 'Our combat mission in Iraq will end .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# Obama said, Let me say this as plainly as I can: by August 31, 2010, our combat mission in Iraq will end. + +83c915f8c6bb4654a6f94e47cb6c9d74 0 Obama said , Let me say this as plainly as I can . + +1c41d60999b04395807e7bff1cd4e6d1 0 Our combat mission in Iraq will end . + S:TEMPORAL This is by August 31 , 2010 . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 358/527 # + +'The Obama administration scheduled the withdrawal of combat troops to be completed by August 2010, decreasing troop's levels from 142,000 while leaving a transitional force of about 50,000 in Iraq until the end of 2011.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> CO/UNKNOWN_COORDINATION (NULL, SharedNPPostParticipalExtractor) + ├────────n────────> SUB/PURPOSE (NULL, PurposePostExtractor) + | ├───n───> 'The Obama administration scheduled the withdrawal of combat troops .' + | └───s───> 'This was to be completed by August 2010 .' + └───n───> CO/CONTRAST (NULL, SharedNPPostParticipalExtractor) + ├───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) + | ├───s───> 'This was from 142,000 .' + | └───n───> 'The Obama administration was decreasing troop 's levels .' + └───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) + ├───s───> 'This was until the end of 2011 .' + └───n───> 'The Obama administration was leaving a transitional force of about 50,000 in Iraq .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# The Obama administration scheduled the withdrawal of combat troops to be completed by August 2010, decreasing troop's levels from 142,000 while leaving a transitional force of about 50,000 in Iraq until the end of 2011. + +38159ae515ff42b9bc2851e49edce427 0 The Obama administration scheduled the withdrawal of combat troops . + S:PURPOSE This was to be completed by August 2010 . + +c56228cb925043bf80696c6db5842cd3 0 The Obama administration was decreasing troop 's levels . + S:TEMPORAL This was from 142,000 . + L:CONTRAST 8ddb210314b44f22975997a8580dd34a + +8ddb210314b44f22975997a8580dd34a 0 The Obama administration was leaving a transitional force of about 50,000 in Iraq . + S:TEMPORAL This was until the end of 2011 . + L:CONTRAST c56228cb925043bf80696c6db5842cd3 + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 359/527 # + +'On August 19, 2010, the last U.S. combat brigade exited Iraq.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + ├───s───> 'This was on August 19 , 2010 .' + └───n───> 'The last U.S. combat brigade exited Iraq .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# On August 19, 2010, the last U.S. combat brigade exited Iraq. + +d2f051a96fa9405882923ea8c12b4a87 0 The last U.S. combat brigade exited Iraq . + S:TEMPORAL This was on August 19 , 2010 . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 360/527 # + +'Remaining troops transitioned from combat operations to counter-terrorism and the training, equipping, and advising of Iraqi security forces.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> CO/UNKNOWN_COORDINATION (NULL, SharedNPPostParticipalExtractor) + ├───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + | ├───s───> CO/LIST (NULL, PostListNPExtractor) + | | ├───n───> 'This was to counter-terrorism .' + | | └───n───> 'This was to the training .' + | └────────n────────> 'Remaining troops transitioned from combat operations .' + └────────n────────> CO/LIST (', and', SharedNPPostCoordinationExtractor) + ├───n───> 'Remaining troops were equipping .' + └───n───> 'Remaining troops were advising of Iraqi security forces .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# Remaining troops transitioned from combat operations to counter-terrorism and the training, equipping, and advising of Iraqi security forces. + +e5b016d9956047fca81f17acbd2cefbb 0 Remaining troops transitioned from combat operations . + L:UNKNOWN_SUBORDINATION 259e96e5ac664de0ad79947bd483e8de + L:UNKNOWN_SUBORDINATION f97de769845a4469a96139e4841e25cb + +259e96e5ac664de0ad79947bd483e8de 1 This was to counter-terrorism . + L:LIST f97de769845a4469a96139e4841e25cb + +f97de769845a4469a96139e4841e25cb 1 This was to the training . + L:LIST 259e96e5ac664de0ad79947bd483e8de + +9284a8bbe4854990900ce37625bceefc 0 Remaining troops were equipping . + L:LIST e42d71670d064efbbea4a82a61316d56 + +e42d71670d064efbbea4a82a61316d56 0 Remaining troops were advising of Iraqi security forces . + L:LIST 9284a8bbe4854990900ce37625bceefc + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 361/527 # + +'On August 31, 2010, Obama announced that the United States combat mission in Iraq was over.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/ATTRIBUTION (NULL, SubordinationPostAttributionExtractor2) + ├───s───> 'This was what Obama announced on August 31 , 2010 .' + └───n───> 'The United States combat mission in Iraq was over .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# On August 31, 2010, Obama announced that the United States combat mission in Iraq was over. + +23e93b76a3f74817b65c3e451df64b47 0 The United States combat mission in Iraq was over . + S:ATTRIBUTION This was what Obama announced on August 31 , 2010 . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 362/527 # + +'On October 21, 2011 President Obama announced that all U.S. troops would leave Iraq in time to be home for the holidays.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) + ├─────────────s─────────────> 'Obama was President .' + └───n───> SUB/ATTRIBUTION (NULL, SubordinationPostAttributionExtractor2) + ├────────s────────> 'This was what Obama announced on October 21 , 2011 .' + └───n───> SUB/PURPOSE (NULL, PurposePostExtractor) + ├───n───> 'All U.S. troops would leave Iraq in time .' + └───s───> 'This is to be home for the holidays .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# On October 21, 2011 President Obama announced that all U.S. troops would leave Iraq in time to be home for the holidays. + +565caaa601a9493ba5017b6232980c44 0 All U.S. troops would leave Iraq in time . + S:PURPOSE This is to be home for the holidays . + S:ATTRIBUTION This was what Obama announced on October 21 , 2011 . + L:ELABORATION 0a1a2b477c9946e6862614a76b6bd94c + +0a1a2b477c9946e6862614a76b6bd94c 1 Obama was President . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 363/527 # + +'US President Barack Obama and British Prime Minister David Cameron trade bottles of beer to settle a bet they made on the U.S. vs. England World Cup Soccer game (which ended in a tie), during a bilateral meeting at the G20 Summit in Toronto, Canada, Saturday, June 26, 2010' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) + ├────────────────────────────s────────────────────────────> 'Barack Obama was US President .' + └───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) + ├───────────────────────s───────────────────────> 'David Cameron was British Prime Minister .' + └───n───> SUB/IDENTIFYING_DEFINITION ('', RestrictiveRelativeClauseWithoutRelativePronounExtractor) + ├──────────────────n──────────────────> 'Barack Obama and David Cameron trade bottles of beer to settle a bet .' + └───s───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) + ├─────────────s─────────────> 'This was on the U.S. vs. England World Cup Soccer game .' + └───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) + ├────────s────────> 'This was at the G20 Summit in Toronto , Canada , Saturday , June 26 , 2010 .' + └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalMiddleFinalExtractor) + ├───s───> 'This was during a bilateral meeting .' + └───n───> 'They made a bet -LRB- which ended in a tie -RRB- .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# US President Barack Obama and British Prime Minister David Cameron trade bottles of beer to settle a bet they made on the U.S. vs. England World Cup Soccer game (which ended in a tie), during a bilateral meeting at the G20 Summit in Toronto, Canada, Saturday, June 26, 2010 + +006e5fc1a5e24206a64b449f880f81c3 0 Barack Obama and David Cameron trade bottles of beer to settle a bet . + L:IDENTIFYING_DEFINITION 6c134bc3d2944bd99dcb509574ae6187 + L:ELABORATION a873e14a23c944fb88929675d77d9f84 + L:ELABORATION 7e0405daba154320bf09e80aef387943 + +6c134bc3d2944bd99dcb509574ae6187 1 They made a bet -LRB- which ended in a tie -RRB- . + S:UNKNOWN_SUBORDINATION This was during a bilateral meeting . + S:TEMPORAL This was at the G20 Summit in Toronto , Canada , Saturday , June 26 , 2010 . + S:SPATIAL This was on the U.S. vs. England World Cup Soccer game . + +a873e14a23c944fb88929675d77d9f84 1 David Cameron was British Prime Minister . + +7e0405daba154320bf09e80aef387943 1 Barack Obama was US President . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 364/527 # + +'Meeting with UK Prime Minister David Cameron during the 2010 G20 Toronto summit' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) + ├─────────────s─────────────> 'David Cameron is UK Prime Minister .' + └───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) + ├────────s────────> 'Toronto is G20 .' + └───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) + ├───s───> 'This is during the 2010 Toronto summit .' + └───n───> 'Meeting with David Cameron .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# Meeting with UK Prime Minister David Cameron during the 2010 G20 Toronto summit + +e179fc425d814a60b4d43772086016dd 0 Meeting with David Cameron . + S:SPATIAL This is during the 2010 Toronto summit . + L:ELABORATION 9c50ce6628bd4a1cadace4e07bb1bc16 + L:ELABORATION a1469a2dddcc428483ef3e4960f0d432 + +9c50ce6628bd4a1cadace4e07bb1bc16 1 Toronto is G20 . + +a1469a2dddcc428483ef3e4960f0d432 1 David Cameron is UK Prime Minister . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 365/527 # + +'In June 2014, following the capture of Mosul by ISIS, Obama sent 275 troops to provide support and security for U.S. personnel and the U.S. Embassy in Baghdad.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/PURPOSE (NULL, PurposePostExtractor) + ├───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + | ├─────────────s─────────────> 'This was in June 2014 .' + | └───n───> SUB/SPATIAL (NULL, PrepositionalInitialExtractor) + | ├───s───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + | | ├───s───> 'This was by ISIS .' + | | └───n───> 'This was following the capture of Mosul .' + | └────────n────────> 'Obama sent 275 troops .' + └──────────────────s──────────────────> 'This was to provide support and security for U.S. personnel and the U.S. Embassy in Baghdad .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# In June 2014, following the capture of Mosul by ISIS, Obama sent 275 troops to provide support and security for U.S. personnel and the U.S. Embassy in Baghdad. + +5990b8e4918049179583038ef6d206ff 0 Obama sent 275 troops . + S:TEMPORAL This was in June 2014 . + S:PURPOSE This was to provide support and security for U.S. personnel and the U.S. Embassy in Baghdad . + L:SPATIAL cb1b118014cb43cd9aeace9d998978a7 + +cb1b118014cb43cd9aeace9d998978a7 1 This was following the capture of Mosul . + S:UNKNOWN_SUBORDINATION This was by ISIS . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 366/527 # + +'ISIS continued to gain ground and to commit widespread massacres and ethnic cleansing.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> CO/LIST (NULL, PostListNPExtractor) + ├───n───> 'ISIS continued to gain ground and to commit widespread massacres .' + └───n───> 'ISIS continued to gain ground and to commit ethnic cleansing .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# ISIS continued to gain ground and to commit widespread massacres and ethnic cleansing. + +4cf312b081a64bdda8b2a6d4f10a27a0 0 ISIS continued to gain ground and to commit widespread massacres . + L:LIST eb18c2329f064ce780bcab4e0f971323 + +eb18c2329f064ce780bcab4e0f971323 0 ISIS continued to gain ground and to commit ethnic cleansing . + L:LIST 4cf312b081a64bdda8b2a6d4f10a27a0 + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 367/527 # + +'In August 2014, during the Sinjar massacre, Obama ordered a campaign of U.S. airstrikes against ISIS.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + ├─────────────s─────────────> 'This was against ISIS .' + └───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + ├────────s────────> 'This was in August 2014 .' + └───n───> SUB/SPATIAL (NULL, PrepositionalInitialExtractor) + ├───s───> 'This was during the Sinjar massacre .' + └───n───> 'Obama ordered a campaign of U.S. airstrikes .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# In August 2014, during the Sinjar massacre, Obama ordered a campaign of U.S. airstrikes against ISIS. + +0176eb5d13584ffc86def7e26b4e124b 0 Obama ordered a campaign of U.S. airstrikes . + S:SPATIAL This was during the Sinjar massacre . + S:TEMPORAL This was in August 2014 . + S:UNKNOWN_SUBORDINATION This was against ISIS . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 368/527 # + +'By the end of 2014, 3,100 American ground troops were committed to the conflict and 16,000 sorties were flown over the battlefield, primarily by U.S. Air Force and Navy pilots.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> CO/LIST ('and', CoordinationExtractor) + ├───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + | ├───s───> 'This was by the end of 2014 .' + | └───n───> '3,100 American ground troops were committed to the conflict .' + └───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + ├───s───> 'This was by the end of 2014 .' + └───n───> '16,000 sorties were flown over the battlefield , primarily by U.S. Air Force and Navy pilots .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# By the end of 2014, 3,100 American ground troops were committed to the conflict and 16,000 sorties were flown over the battlefield, primarily by U.S. Air Force and Navy pilots. + +400590d9ea5b4bec92deb6ece69ffaef 0 3,100 American ground troops were committed to the conflict . + S:TEMPORAL This was by the end of 2014 . + L:LIST 6272b0a12e5e4b18acdf19040d2d7467 + +6272b0a12e5e4b18acdf19040d2d7467 0 16,000 sorties were flown over the battlefield , primarily by U.S. Air Force and Navy pilots . + S:TEMPORAL This was by the end of 2014 . + L:LIST 400590d9ea5b4bec92deb6ece69ffaef + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 369/527 # + +'In early 2015, with the addition of the Panther Brigade of the 82nd Airborne Division the number of U.S. ground troops in Iraq surged to 4,400, and by July American-led coalition air forces counted 44,000 sorties over the battlefield.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> CO/LIST (', and', CoordinationExtractor) + ├────────n────────> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + | ├────────s────────> 'This was in early 2015 .' + | └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalInitialExtractor) + | ├───s───> 'This was with the addition of the Panther Brigade of the 82nd Airborne Division .' + | └───n───> 'The number of U.S. ground troops in Iraq surged to 4,400 .' + └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + ├─────────────s─────────────> 'This was over the battlefield .' + └───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + ├────────s────────> 'This was in early 2015 .' + └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalInitialExtractor) + ├───s───> 'This was by July .' + └───n───> 'American-led coalition air forces counted 44,000 sorties .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# In early 2015, with the addition of the Panther Brigade of the 82nd Airborne Division the number of U.S. ground troops in Iraq surged to 4,400, and by July American-led coalition air forces counted 44,000 sorties over the battlefield. + +6cd48b371cac44e1b5d9e70976ed1964 0 The number of U.S. ground troops in Iraq surged to 4,400 . + S:UNKNOWN_SUBORDINATION This was with the addition of the Panther Brigade of the 82nd Airborne Division . + S:TEMPORAL This was in early 2015 . + L:LIST 03967e3f13b04cee97d7c724ed9331f6 + +03967e3f13b04cee97d7c724ed9331f6 0 American-led coalition air forces counted 44,000 sorties . + S:UNKNOWN_SUBORDINATION This was by July . + S:TEMPORAL This was in early 2015 . + S:UNKNOWN_SUBORDINATION This was over the battlefield . + L:LIST 6cd48b371cac44e1b5d9e70976ed1964 + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 370/527 # + +'Early in his presidency, Obama moved to bolster U.S. troop strength in Afghanistan.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/UNKNOWN_SUBORDINATION (NULL, AdjectivalAdverbialInitialExtractor) + ├───s───> 'This was early in his presidency .' + └───n───> 'Obama moved to bolster U.S. troop strength in Afghanistan .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# Early in his presidency, Obama moved to bolster U.S. troop strength in Afghanistan. + +12c4e8b567c3484481d4536579745795 0 Obama moved to bolster U.S. troop strength in Afghanistan . + S:UNKNOWN_SUBORDINATION This was early in his presidency . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 371/527 # + +'He announced an increase in U.S. troop levels to 17,000 military personnel in February 2009 to stabilize a deteriorating situation in Afghanistan, an area he said had not received the strategic attention, direction and resources it urgently requires.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/IDENTIFYING_DEFINITION ('', RestrictiveRelativeClauseWithoutRelativePronounExtractor) + ├───n───> SUB/IDENTIFYING_DEFINITION ('', RestrictiveRelativeClauseWithoutRelativePronounExtractor) + | ├───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) + | | ├────────s────────> 'This was to 17,000 military personnel in February 2009 .' + | | └───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) + | | ├───s───> 'This was in U.S. troop levels .' + | | └───n───> 'He announced an increase to stabilize a deteriorating situation in Afghanistan , an area had not received the strategic attention , direction and resources .' + | └────────s────────> CO/LIST (NULL, PostListNPExtractor) + | ├───n───> 'It urgently requires the strategic attention .' + | ├───n───> 'It urgently requires direction .' + | └───n───> 'It urgently requires resources .' + └──────────────────s──────────────────> 'He said an area .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# He announced an increase in U.S. troop levels to 17,000 military personnel in February 2009 to stabilize a deteriorating situation in Afghanistan, an area he said had not received the strategic attention, direction and resources it urgently requires. + +f58091814df846d7acd0f98d30ed427f 0 He announced an increase to stabilize a deteriorating situation in Afghanistan , an area had not received the strategic attention , direction and resources . + S:SPATIAL This was in U.S. troop levels . + S:TEMPORAL This was to 17,000 military personnel in February 2009 . + L:IDENTIFYING_DEFINITION c8bed9bab0db4304b2d3de498d710eb3 + L:IDENTIFYING_DEFINITION bf25aa0cd76b472398f7f2353c839453 + L:IDENTIFYING_DEFINITION 4d345132857d41e7aecf90ec3d17a259 + L:IDENTIFYING_DEFINITION a51cf7ae4a0e4c5c90b3e07a04aab6d8 + +c8bed9bab0db4304b2d3de498d710eb3 1 It urgently requires the strategic attention . + L:LIST bf25aa0cd76b472398f7f2353c839453 + L:LIST 4d345132857d41e7aecf90ec3d17a259 + +bf25aa0cd76b472398f7f2353c839453 1 It urgently requires direction . + L:LIST 4d345132857d41e7aecf90ec3d17a259 + L:LIST c8bed9bab0db4304b2d3de498d710eb3 + +4d345132857d41e7aecf90ec3d17a259 1 It urgently requires resources . + L:LIST c8bed9bab0db4304b2d3de498d710eb3 + L:LIST bf25aa0cd76b472398f7f2353c839453 + +a51cf7ae4a0e4c5c90b3e07a04aab6d8 1 He said an area . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 372/527 # + +'He replaced the military commander in Afghanistan, General David D. McKiernan, with former Special Forces commander Lt. Gen. Stanley A. McChrystal in May 2009, indicating that McChrystal's Special Forces experience would facilitate the use of counterinsurgency tactics in the war.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) + ├────────────────────────────s────────────────────────────> 'David D. McKiernan was General .' + └───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) + ├───────────────────────s───────────────────────> 'Stanley A. McChrystal was former Special Forces commander Lt. Gen. .' + └───n───> SUB/ELABORATION (NULL, NonRestrictiveAppositionExtractor) + ├──────────────────s──────────────────> 'David D. McKiernan was Afghanistan .' + └───n───> CO/UNKNOWN_COORDINATION (NULL, SharedNPPostParticipalExtractor) + ├───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) + | ├────────s────────> 'This was in Afghanistan .' + | └───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) + | ├───s───> 'This was with Stanley A. McChrystal in May 2009 .' + | └───n───> 'He replaced the military commander .' + └───n───> SUB/ATTRIBUTION (NULL, SubordinationPostAttributionExtractor2) + ├────────s────────> 'This was what he was indicating .' + └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + ├───s───> 'This is in the war .' + └───n───> 'McChrystal 's Special Forces experience would facilitate the use of counterinsurgency tactics .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# He replaced the military commander in Afghanistan, General David D. McKiernan, with former Special Forces commander Lt. Gen. Stanley A. McChrystal in May 2009, indicating that McChrystal's Special Forces experience would facilitate the use of counterinsurgency tactics in the war. + +22ca0301f5604664be47b98d17d2836f 0 He replaced the military commander . + S:TEMPORAL This was with Stanley A. McChrystal in May 2009 . + S:SPATIAL This was in Afghanistan . + L:ELABORATION d4d64203aa7844959c4d39372006f69b + L:ELABORATION 8005d28589ff4bd6925992f2ffb902fc + L:ELABORATION a48171a93c0f4926b3e20e28f97e3c38 + +15bd40943a2d468d988a704de329b4bb 0 McChrystal 's Special Forces experience would facilitate the use of counterinsurgency tactics . + S:UNKNOWN_SUBORDINATION This is in the war . + S:ATTRIBUTION This was what he was indicating . + L:ELABORATION d4d64203aa7844959c4d39372006f69b + L:ELABORATION 8005d28589ff4bd6925992f2ffb902fc + L:ELABORATION a48171a93c0f4926b3e20e28f97e3c38 + +d4d64203aa7844959c4d39372006f69b 1 David D. McKiernan was Afghanistan . + +8005d28589ff4bd6925992f2ffb902fc 1 Stanley A. McChrystal was former Special Forces commander Lt. Gen. . + +a48171a93c0f4926b3e20e28f97e3c38 1 David D. McKiernan was General . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 373/527 # + +'On December 1, 2009, Obama announced the deployment of an additional 30,000 military personnel to Afghanistan and proposed to begin troop withdrawals 18 months from that date; this took place in July 2011.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> CO/UNKNOWN_COORDINATION (';', CoordinationExtractor) + ├───n───> CO/LIST ('and', SharedNPPostCoordinationExtractor) + | ├───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) + | | ├────────s────────> 'This was to Afghanistan .' + | | └───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + | | ├───s───> 'This was on December 1 , 2009 .' + | | └───n───> 'Obama announced the deployment of an additional 30,000 military personnel .' + | └───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) + | ├────────s────────> 'This was 18 months from that date .' + | └───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + | ├───s───> 'This was on December 1 , 2009 .' + | └───n───> 'Obama proposed to begin troop withdrawals .' + └─────────────n─────────────> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) + ├───s───> 'This was in July 2011 .' + └───n───> 'This took place .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# On December 1, 2009, Obama announced the deployment of an additional 30,000 military personnel to Afghanistan and proposed to begin troop withdrawals 18 months from that date; this took place in July 2011. + +b513cc6e4d164a61bcaaedaf2c1a3aae 0 Obama announced the deployment of an additional 30,000 military personnel . + S:TEMPORAL This was on December 1 , 2009 . + S:SPATIAL This was to Afghanistan . + L:LIST da527aa8c1654e88be3a3c4a7434a012 + +da527aa8c1654e88be3a3c4a7434a012 0 Obama proposed to begin troop withdrawals . + S:TEMPORAL This was on December 1 , 2009 . + S:TEMPORAL This was 18 months from that date . + L:LIST b513cc6e4d164a61bcaaedaf2c1a3aae + +bffbee6ea4ff451ba81d67d42503cbdc 0 This took place . + S:TEMPORAL This was in July 2011 . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 374/527 # + +'David Petraeus replaced McChrystal in June 2010, after McChrystal's staff criticized White House personnel in a magazine article.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/TEMPORAL_BEFORE ('after', SubordinationPostExtractor) + ├────────n────────> 'David Petraeus replaced McChrystal in June 2010 .' + └───s───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + ├───s───> 'This was in a magazine article .' + └───n───> 'McChrystal 's staff criticized White House personnel .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# David Petraeus replaced McChrystal in June 2010, after McChrystal's staff criticized White House personnel in a magazine article. + +a9afbab8b35c48a3ab771b3248a1f5ad 0 David Petraeus replaced McChrystal in June 2010 . + L:TEMPORAL_BEFORE c71825cb6bb14f7bb1e1416c6c6a0c2b + +c71825cb6bb14f7bb1e1416c6c6a0c2b 1 McChrystal 's staff criticized White House personnel . + S:UNKNOWN_SUBORDINATION This was in a magazine article . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 375/527 # + +'In February 2013, Obama said the U.S. military would reduce the troop level in Afghanistan from 68,000 to 34,000 U.S. troops by February 2014.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/ATTRIBUTION (NULL, SubordinationPostAttributionExtractor) + ├───────────────────────s───────────────────────> 'This was what Obama said in February 2013 .' + └───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) + ├──────────────────s──────────────────> 'This is from 68,000 .' + └───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) + ├─────────────s─────────────> 'This is to 34,000 U.S. troops .' + └───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) + ├────────s────────> 'This is by February 2014 .' + └───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) + ├───s───> 'This is in Afghanistan .' + └───n───> 'The U.S. military would reduce the troop level .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# In February 2013, Obama said the U.S. military would reduce the troop level in Afghanistan from 68,000 to 34,000 U.S. troops by February 2014. + +b65e881b36734573bba134cac2aa9428 0 The U.S. military would reduce the troop level . + S:SPATIAL This is in Afghanistan . + S:TEMPORAL This is by February 2014 . + S:SPATIAL This is to 34,000 U.S. troops . + S:TEMPORAL This is from 68,000 . + S:ATTRIBUTION This was what Obama said in February 2013 . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 376/527 # + +'In October 2015, the White House announced a plan to keep U.S. Forces in Afghanistan indefinitely in light of the deteriorating security situation.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + ├───s───> 'This was in October 2015 .' + └───n───> 'The White House announced a plan to keep U.S. Forces in Afghanistan indefinitely in light of the deteriorating security situation .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# In October 2015, the White House announced a plan to keep U.S. Forces in Afghanistan indefinitely in light of the deteriorating security situation. + +ab8da8d74b56462b8aba7bb610706e9d 0 The White House announced a plan to keep U.S. Forces in Afghanistan indefinitely in light of the deteriorating security situation . + S:TEMPORAL This was in October 2015 . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 377/527 # + +'President Barack Obama, at left, shakes hands with Israeli President Shimon Peres, at right, in the Oval Office on Tuesday, May 5, 2009.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) + ├──────────────────s──────────────────> 'Barack Obama is President .' + └───n───> SUB/UNKNOWN_SUBORDINATION ('', ParticipialMiddleExtractor) + ├───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) + | ├───s───> SUB/UNKNOWN_SUBORDINATION (NULL, AdjectivalAdverbialMiddleFinalExtractor) + | | ├───s───> 'This is at right .' + | | └───n───> 'This is with Israeli Shimon Peres in the Oval Office on Tuesday , May 5 , 2009 .' + | └────────n────────> 'Barack Obama shakes hands .' + └─────────────s─────────────> 'Barack Obama is at left .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# President Barack Obama, at left, shakes hands with Israeli President Shimon Peres, at right, in the Oval Office on Tuesday, May 5, 2009. + +fe0aabba25df43b9bf36960eaa567962 0 Barack Obama shakes hands . + L:TEMPORAL d13e44b5e3d942e485ed8a5b9383627c + L:UNKNOWN_SUBORDINATION a14146deb4de493f9b710571ecf086c0 + L:ELABORATION 67b230f49e0d4f7c994f240135eeae2d + +d13e44b5e3d942e485ed8a5b9383627c 1 This is with Israeli Shimon Peres in the Oval Office on Tuesday , May 5 , 2009 . + S:UNKNOWN_SUBORDINATION This is at right . + +a14146deb4de493f9b710571ecf086c0 1 Barack Obama is at left . + +67b230f49e0d4f7c994f240135eeae2d 1 Barack Obama is President . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 378/527 # + +'Standing at right looking on is U.S. Vice President Joe Biden.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> 'Standing at right looking on is U.S. Vice President Joe Biden .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# Standing at right looking on is U.S. Vice President Joe Biden. + +98800439ef00458ab4850e51c087575d 0 Standing at right looking on is U.S. Vice President Joe Biden . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 379/527 # + +'Obama meeting with Israeli President Shimon Peres in the Oval Office, May 2009' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) + ├───s───> 'Shimon Peres is Obama meeting with Israeli President .' + └───n───> 'Shimon Peres in the Oval Office , May 2009' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# Obama meeting with Israeli President Shimon Peres in the Oval Office, May 2009 + +ccc2a24b8866432b9e327a632b5b9e4e 0 Shimon Peres in the Oval Office , May 2009 + L:ELABORATION dbab98a7e205480c8d380f293e5af095 + +dbab98a7e205480c8d380f293e5af095 1 Shimon Peres is Obama meeting with Israeli President . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 380/527 # + +'In 2011, the United States vetoed a Security Council resolution condemning Israeli settlements, with the United States being the only nation to do so.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/IDENTIFYING_DEFINITION ('', RestrictiveParticipialExtractor) + ├───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + | ├─────────────s─────────────> 'This was in 2011 .' + | └───n───> SUB/SPATIAL (NULL, PrepositionalMiddleFinalExtractor) + | ├───s───> CO/UNKNOWN_COORDINATION (NULL, SharedNPPostParticipalExtractor) + | | ├───n───> 'This was with the United States .' + | | └───n───> 'This was being the only nation to do so .' + | └────────n────────> 'The United States vetoed a Security Council resolution .' + └──────────────────s──────────────────> 'A Security Council resolution was condemning Israeli settlements .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# In 2011, the United States vetoed a Security Council resolution condemning Israeli settlements, with the United States being the only nation to do so. + +aee7128bbaa042cb8ce9047e718e3ce0 0 The United States vetoed a Security Council resolution . + S:TEMPORAL This was in 2011 . + L:SPATIAL 550c22ebb14a4483890cbdbffe817039 + L:SPATIAL a1b400ba685f4a8b9a264bff17ece598 + L:IDENTIFYING_DEFINITION 68bdd9f070fd49cd8ee03850c3eb216a + +550c22ebb14a4483890cbdbffe817039 1 This was with the United States . + +a1b400ba685f4a8b9a264bff17ece598 1 This was being the only nation to do so . + +68bdd9f070fd49cd8ee03850c3eb216a 1 A Security Council resolution was condemning Israeli settlements . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 381/527 # + +'Obama supports the two-state solution to the Arab–Israeli conflict based on the 1967 borders with land swaps.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> 'Obama supports the two-state solution to the Arab -- Israeli conflict based on the 1967 borders with land swaps .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# Obama supports the two-state solution to the Arab–Israeli conflict based on the 1967 borders with land swaps. + +3f6d788efab549dca5ade25248330a1f 0 Obama supports the two-state solution to the Arab -- Israeli conflict based on the 1967 borders with land swaps . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 382/527 # + +'In June 2011, Obama said that the bond between the United States and Israel is unbreakable.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/ATTRIBUTION (NULL, SubordinationPostAttributionExtractor2) + ├───s───> 'This was what Obama said in June 2011 .' + └───n───> 'The bond between the United States and Israel is unbreakable .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# In June 2011, Obama said that the bond between the United States and Israel is unbreakable. + +7b991b572c244b21b68da917ef2764cb 0 The bond between the United States and Israel is unbreakable . + S:ATTRIBUTION This was what Obama said in June 2011 . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 383/527 # + +'During the initial years of the Obama administration, the U.S. increased military cooperation with Israel, including increased military aid, re-establishment of the U.S.-Israeli Joint Political Military Group and the Defense Policy Advisory Group, and an increase in visits among high-level military officials of both countries.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) + ├────────────────────────────s────────────────────────────> 'This was with Israel .' + └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalInitialExtractor) + ├───────────────────────s───────────────────────> 'This was during the initial years of the Obama administration .' + └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalMiddleFinalExtractor) + ├──────────────────s──────────────────> 'This was including increased military aid .' + └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + ├─────────────s─────────────> 'This was among high-level military officials of both countries .' + └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + ├────────s────────> 'This was in visits .' + └───n───> CO/LIST (NULL, PostListNPExtractor) + ├───n───> 'The U.S. increased military cooperation .' + ├───n───> 'The U.S. increased re-establishment of the U.S.-Israeli Joint Political Military Group and the Defense Policy Advisory Group .' + └───n───> 'The U.S. increased an increase .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# During the initial years of the Obama administration, the U.S. increased military cooperation with Israel, including increased military aid, re-establishment of the U.S.-Israeli Joint Political Military Group and the Defense Policy Advisory Group, and an increase in visits among high-level military officials of both countries. + +70b2436db22540e1aada4e54be3da6e2 0 The U.S. increased military cooperation . + S:UNKNOWN_SUBORDINATION This was in visits . + S:UNKNOWN_SUBORDINATION This was among high-level military officials of both countries . + S:UNKNOWN_SUBORDINATION This was including increased military aid . + S:UNKNOWN_SUBORDINATION This was during the initial years of the Obama administration . + S:SPATIAL This was with Israel . + L:LIST ff9d3850fa224e24a7fcc86d6b40a591 + L:LIST 590a457e8b754e98a1cd18a2cefd6680 + +ff9d3850fa224e24a7fcc86d6b40a591 0 The U.S. increased re-establishment of the U.S.-Israeli Joint Political Military Group and the Defense Policy Advisory Group . + S:UNKNOWN_SUBORDINATION This was in visits . + S:UNKNOWN_SUBORDINATION This was among high-level military officials of both countries . + S:UNKNOWN_SUBORDINATION This was including increased military aid . + S:UNKNOWN_SUBORDINATION This was during the initial years of the Obama administration . + S:SPATIAL This was with Israel . + L:LIST 590a457e8b754e98a1cd18a2cefd6680 + L:LIST 70b2436db22540e1aada4e54be3da6e2 + +590a457e8b754e98a1cd18a2cefd6680 0 The U.S. increased an increase . + S:UNKNOWN_SUBORDINATION This was in visits . + S:UNKNOWN_SUBORDINATION This was among high-level military officials of both countries . + S:UNKNOWN_SUBORDINATION This was including increased military aid . + S:UNKNOWN_SUBORDINATION This was during the initial years of the Obama administration . + S:SPATIAL This was with Israel . + L:LIST 70b2436db22540e1aada4e54be3da6e2 + L:LIST ff9d3850fa224e24a7fcc86d6b40a591 + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 384/527 # + +'The Obama administration asked Congress to allocate money toward funding the Iron Dome program in response to the waves of Palestinian rocket attacks on Israel.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) + ├───s───> 'This was toward funding the Iron Dome program in response to the waves of Palestinian rocket attacks on Israel .' + └───n───> 'The Obama administration asked Congress to allocate money .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# The Obama administration asked Congress to allocate money toward funding the Iron Dome program in response to the waves of Palestinian rocket attacks on Israel. + +3707da2927864ffb8d46fda00cde15a5 0 The Obama administration asked Congress to allocate money . + S:SPATIAL This was toward funding the Iron Dome program in response to the waves of Palestinian rocket attacks on Israel . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 385/527 # + +'In 2013, Jeffrey Goldberg reported that, in Obama's view, with each new settlement announcement, Netanyahu is moving his country down a path toward near-total isolation.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/ATTRIBUTION (NULL, SubordinationPostAttributionExtractor2) + ├─────────────s─────────────> 'This was what Jeffrey Goldberg reported in 2013 .' + └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalInitialExtractor) + ├────────s────────> 'This is in Obama 's view .' + └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalInitialExtractor) + ├───s───> 'This is with each new settlement announcement .' + └───n───> 'Netanyahu is moving his country down a path toward near-total isolation .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# In 2013, Jeffrey Goldberg reported that, in Obama's view, with each new settlement announcement, Netanyahu is moving his country down a path toward near-total isolation. + +85e01a1cee7d48b9932432185d3e3915 0 Netanyahu is moving his country down a path toward near-total isolation . + S:UNKNOWN_SUBORDINATION This is with each new settlement announcement . + S:UNKNOWN_SUBORDINATION This is in Obama 's view . + S:ATTRIBUTION This was what Jeffrey Goldberg reported in 2013 . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 386/527 # + +'In 2014, Obama likened the Zionist movement to the Civil Rights Movement in the United States.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + ├─────────────s─────────────> 'This was to the Civil Rights Movement .' + └───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) + ├────────s────────> 'This was in the United States .' + └───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + ├───s───> 'This was in 2014 .' + └───n───> 'Obama likened the Zionist movement .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# In 2014, Obama likened the Zionist movement to the Civil Rights Movement in the United States. + +6ad397f5113d414cb933fc1605daca75 0 Obama likened the Zionist movement . + S:TEMPORAL This was in 2014 . + S:SPATIAL This was in the United States . + S:UNKNOWN_SUBORDINATION This was to the Civil Rights Movement . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 387/527 # + +'He said that both movements seek to bring justice and equal rights to historically persecuted peoples.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/ATTRIBUTION (NULL, SubordinationPostAttributionExtractor2) + ├────────s────────> 'This was what he said .' + └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + ├───s───> 'This is to historically persecuted peoples .' + └───n───> 'Both movements seek to bring justice and equal rights .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# He said that both movements seek to bring justice and equal rights to historically persecuted peoples. + +5b8a1a47d70a4ccda2a4415bc5d32166 0 Both movements seek to bring justice and equal rights . + S:UNKNOWN_SUBORDINATION This is to historically persecuted peoples . + S:ATTRIBUTION This was what he said . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 388/527 # + +'He explained, To me, being pro-Israel and pro-Jewish is part and parcel with the values that I've been fighting for since I was politically conscious and started getting involved in politics.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> CO/UNKNOWN_COORDINATION (NULL, SharedNPPostParticipalExtractor) + ├─────────────n─────────────> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalMiddleFinalExtractor) + | ├───s───> 'This was to me .' + | └───n───> 'He explained .' + └───n───> CO/LIST ('and', CoordinationExtractor) + ├─────────────n─────────────> 'He was being pro-Israel .' + └───n───> SUB/UNKNOWN_SUBORDINATION ('that', SubordinationPostExtractor) + ├────────n────────> 'Pro-Jewish is part and parcel with the values .' + └───s───> CO/LIST ('and', SharedNPPostCoordinationExtractor) + ├───n───> 'I 've been fighting for since I was politically conscious .' + └───n───> 'I 've started getting involved in politics .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# He explained, To me, being pro-Israel and pro-Jewish is part and parcel with the values that I've been fighting for since I was politically conscious and started getting involved in politics. + +2b838d6bf92940f7a6b9ef925f253241 0 He explained . + S:UNKNOWN_SUBORDINATION This was to me . + +1c1086dffa084adcbef97a0c6e4d04d8 0 He was being pro-Israel . + L:LIST 84d2db110a74421dafd5ec005283423b + +84d2db110a74421dafd5ec005283423b 0 Pro-Jewish is part and parcel with the values . + L:UNKNOWN_SUBORDINATION 2ccc25e65ce14b8989647f781326f15f + L:UNKNOWN_SUBORDINATION 171d762bc9604b6fa29f722f6dd6fddc + L:LIST 1c1086dffa084adcbef97a0c6e4d04d8 + +2ccc25e65ce14b8989647f781326f15f 1 I 've been fighting for since I was politically conscious . + L:LIST 171d762bc9604b6fa29f722f6dd6fddc + +171d762bc9604b6fa29f722f6dd6fddc 1 I 've started getting involved in politics . + L:LIST 2ccc25e65ce14b8989647f781326f15f + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 389/527 # + +'Obama expressed support for Israel's right to defend itself during the 2014 Israel–Gaza conflict.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) + ├───s───> 'This was for Israel 's right to defend itself during the 2014 Israel -- Gaza conflict .' + └───n───> 'Obama expressed support .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# Obama expressed support for Israel's right to defend itself during the 2014 Israel–Gaza conflict. + +687664a58ace4292a14b39bf8bd1ccba 0 Obama expressed support . + S:SPATIAL This was for Israel 's right to defend itself during the 2014 Israel -- Gaza conflict . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 390/527 # + +'In 2015, Obama was harshly criticized by Israel for advocating and signing the Iran Nuclear Deal; Israeli Prime Minister Benjamin Netanyahu, who had advocated the U.S. congress to oppose it, said the deal was dangerous and bad.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> CO/UNKNOWN_COORDINATION (';', CoordinationExtractor) + ├────────n────────> CO/UNKNOWN_COORDINATION (NULL, SharedNPPostParticipalExtractor) + | ├───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + | | ├───s───> 'This was in 2015 .' + | | └───n───> 'Obama was harshly criticized by Israel .' + | └───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + | ├───s───> 'This was in 2015 .' + | └───n───> 'Obama was advocating and signing the Iran Nuclear Deal .' + └───n───> SUB/DESCRIBING_DEFINITION ('who', NonRestrictiveRelativeClauseWhoWhichExtractor) + ├───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) + | ├────────s────────> 'Benjamin Netanyahu was Israeli Prime Minister .' + | └───n───> SUB/ATTRIBUTION (NULL, SubordinationPostAttributionExtractor) + | ├───s───> 'This was what Benjamin Netanyahu said .' + | └───n───> 'The deal was dangerous and bad .' + └───s───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) + ├────────s────────> 'Benjamin Netanyahu was Israeli Prime Minister .' + └───n───> SUB/PURPOSE (NULL, PurposePostExtractor) + ├───n───> 'Benjamin Netanyahu had advocated the U.S. congress .' + └───s───> 'This was to oppose it .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# In 2015, Obama was harshly criticized by Israel for advocating and signing the Iran Nuclear Deal; Israeli Prime Minister Benjamin Netanyahu, who had advocated the U.S. congress to oppose it, said the deal was dangerous and bad. + +0a3f9dbae5d8482f8d84cadc936b2484 0 Obama was harshly criticized by Israel . + S:TEMPORAL This was in 2015 . + +7380e2c967c74732ba14323c36284abb 0 Obama was advocating and signing the Iran Nuclear Deal . + S:TEMPORAL This was in 2015 . + +e470135ba9fe4e34a7558c43d218b76d 0 The deal was dangerous and bad . + S:ATTRIBUTION This was what Benjamin Netanyahu said . + L:ELABORATION 9454a471e8c1452cb22dddbf899b1273 + L:DESCRIBING_DEFINITION beabab97e0b0471db83b969d710d6818 + +9454a471e8c1452cb22dddbf899b1273 1 Benjamin Netanyahu was Israeli Prime Minister . + +beabab97e0b0471db83b969d710d6818 1 Benjamin Netanyahu had advocated the U.S. congress . + S:PURPOSE This was to oppose it . + L:ELABORATION 51b2c960d6bb4428aa6c53fe204dab28 + +51b2c960d6bb4428aa6c53fe204dab28 2 Benjamin Netanyahu was Israeli Prime Minister . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 391/527 # + +'On December 23, 2016, under the Obama Administration, the United States abstained from United Nations Security Council Resolution 2334, effectively allowing it to pass.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + ├────────s────────> 'This was on December 23 , 2016 .' + └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalInitialExtractor) + ├───s───> 'This was under the Obama Administration .' + └───n───> 'The United States abstained from United Nations Security Council Resolution 2334 , effectively allowing it to pass .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# On December 23, 2016, under the Obama Administration, the United States abstained from United Nations Security Council Resolution 2334, effectively allowing it to pass. + +3575ad71f88644e99f474056d4090e3b 0 The United States abstained from United Nations Security Council Resolution 2334 , effectively allowing it to pass . + S:UNKNOWN_SUBORDINATION This was under the Obama Administration . + S:TEMPORAL This was on December 23 , 2016 . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 392/527 # + +'Netanyahu strongly criticized the Administration's actions, and the Israeli government withdrew its annual dues from the organization, which totaled $6 million, on January 6, 2017.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> CO/LIST (', and', CoordinationExtractor) + ├─────────────n─────────────> 'Netanyahu strongly criticized the Administration 's actions .' + └───n───> SUB/DESCRIBING_DEFINITION ('which', NonRestrictiveRelativeClauseWhoWhichExtractor) + ├───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + | ├───s───> 'This was from the organization .' + | └───n───> 'The Israeli government withdrew its annual dues .' + └───s───> SUB/TEMPORAL (NULL, PrepositionalMiddleFinalExtractor) + ├───s───> 'This was on January 6 , 2017 .' + └───n───> 'The organization totaled $ 6 million .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# Netanyahu strongly criticized the Administration's actions, and the Israeli government withdrew its annual dues from the organization, which totaled $6 million, on January 6, 2017. + +3427ab2861fd4f268ebba35dc165cbd4 0 Netanyahu strongly criticized the Administration 's actions . + L:LIST 5450202dff5e4f8ea88053ac7053a828 + +5450202dff5e4f8ea88053ac7053a828 0 The Israeli government withdrew its annual dues . + S:UNKNOWN_SUBORDINATION This was from the organization . + L:DESCRIBING_DEFINITION 1dfcb0881355494a8ed25720adb5bc3f + L:LIST 3427ab2861fd4f268ebba35dc165cbd4 + +1dfcb0881355494a8ed25720adb5bc3f 1 The organization totaled $ 6 million . + S:TEMPORAL This was on January 6 , 2017 . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 393/527 # + +'On January 5, 2017, the United States House of Representatives voted 342–80 to condemn the UN Resolution.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) + ├─────────────s─────────────> 'House of Representatives was the United States .' + └───n───> SUB/IDENTIFYING_DEFINITION ('', RestrictiveRelativeClauseWithoutRelativePronounExtractor) + ├───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + | ├───s───> 'This was on January 5 , 2017 .' + | └───n───> 'House of Representatives voted 342 -- 80 .' + └────────s────────> 'To condemn the UN Resolution 342 -- 80 .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# On January 5, 2017, the United States House of Representatives voted 342–80 to condemn the UN Resolution. + +a1aaaf6fbc1947558d85d830b32867fb 0 House of Representatives voted 342 -- 80 . + S:TEMPORAL This was on January 5 , 2017 . + L:IDENTIFYING_DEFINITION 0392a3a571ef4ced8e97dfe53532a704 + L:ELABORATION a4f47b140703425ebf0b09c0317a9291 + +0392a3a571ef4ced8e97dfe53532a704 1 To condemn the UN Resolution 342 -- 80 . + +a4f47b140703425ebf0b09c0317a9291 1 House of Representatives was the United States . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 394/527 # + +'In February 2011, protests in Libya began against long-time dictator Muammar Gaddafi as part of the Arab Spring.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) + ├─────────────s─────────────> 'Muammar Gaddafi was long-time dictator .' + └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + ├────────s────────> 'This was as part of the Arab Spring .' + └───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + ├───s───> 'This was in February 2011 .' + └───n───> 'Protests in Libya began against Muammar Gaddafi .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# In February 2011, protests in Libya began against long-time dictator Muammar Gaddafi as part of the Arab Spring. + +17defa87dfef418998c99cc82cf31450 0 Protests in Libya began against Muammar Gaddafi . + S:TEMPORAL This was in February 2011 . + S:UNKNOWN_SUBORDINATION This was as part of the Arab Spring . + L:ELABORATION 205652e822f0451ca3556764d843192f + +205652e822f0451ca3556764d843192f 1 Muammar Gaddafi was long-time dictator . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 395/527 # + +'They soon turned violent.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> 'They soon turned violent .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# They soon turned violent. + +fc8385edf17745daa8d16d06270f2d74 0 They soon turned violent . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 396/527 # + +'In March, as forces loyal to Gaddafi advanced on rebels across Libya, calls for a no-fly zone came from around the world, including Europe, the Arab League, and a resolution passed unanimously by the U.S. Senate.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> CO/LIST (', and', CoordinationExtractor) + ├───n───> SUB/ELABORATION (NULL, NonRestrictiveAppositionExtractor) + | ├──────────────────s──────────────────> 'Europe was the Arab League .' + | └───n───> SUB/BACKGROUND ('as', SubordinationPreExtractor) + | ├────────s────────> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) + | | ├───s───> 'This was across Libya .' + | | └───n───> 'Forces loyal to Gaddafi advanced on rebels .' + | └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalInitialExtractor) + | ├────────s────────> 'This was in March .' + | └───n───> SUB/SPATIAL (NULL, PrepositionalMiddleFinalExtractor) + | ├───s───> 'This was including Europe .' + | └───n───> 'Calls for a no-fly zone came from around the world .' + └─────────────n─────────────> SUB/BACKGROUND ('as', SubordinationPreExtractor) + ├───s───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) + | ├───s───> 'This was across Libya .' + | └───n───> 'Forces loyal to Gaddafi advanced on rebels .' + └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalInitialExtractor) + ├───s───> 'This was in March .' + └───n───> 'A resolution passed unanimously by the U.S. Senate .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# In March, as forces loyal to Gaddafi advanced on rebels across Libya, calls for a no-fly zone came from around the world, including Europe, the Arab League, and a resolution passed unanimously by the U.S. Senate. + +baf106949c0b42df9f15c146fccc6902 0 Calls for a no-fly zone came from around the world . + S:SPATIAL This was including Europe . + S:UNKNOWN_SUBORDINATION This was in March . + L:BACKGROUND bce082ad53624f69ba9aca4a04ed702f + L:ELABORATION 347bbcf038f44923af15cd71527086bf + L:LIST 188f5fa7b69c45d2ba8b93e280e5d8b9 + +bce082ad53624f69ba9aca4a04ed702f 1 Forces loyal to Gaddafi advanced on rebels . + S:SPATIAL This was across Libya . + +347bbcf038f44923af15cd71527086bf 1 Europe was the Arab League . + +188f5fa7b69c45d2ba8b93e280e5d8b9 0 A resolution passed unanimously by the U.S. Senate . + S:UNKNOWN_SUBORDINATION This was in March . + L:BACKGROUND 5aaf016ad0a74edd88c872f475e4ad06 + L:LIST baf106949c0b42df9f15c146fccc6902 + +5aaf016ad0a74edd88c872f475e4ad06 1 Forces loyal to Gaddafi advanced on rebels . + S:SPATIAL This was across Libya . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 397/527 # + +'In response to the unanimous passage of United Nations Security Council Resolution 1973 on March 17, Gaddafi—who had previously vowed to show no mercy to the rebels of Benghazi—announced an immediate cessation of military activities, yet reports came in that his forces continued shelling Misrata.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> CO/CONTRAST (', yet', CoordinationExtractor) + ├────────n────────> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + | ├───s───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) + | | ├───s───> 'This was to the unanimous passage of United Nations Security Council Resolution 1973 on March 17 .' + | | └───n───> 'This was in response .' + | └────────n────────> 'Gaddafi -- who had previously vowed to show no mercy to the rebels of Benghazi -- announced an immediate cessation of military activities .' + └───n───> SUB/UNKNOWN_SUBORDINATION ('that', SubordinationPostExtractor) + ├───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + | ├───s───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) + | | ├───s───> 'This was to the unanimous passage of United Nations Security Council Resolution 1973 on March 17 .' + | | └───n───> 'This was in response .' + | └────────n────────> 'Reports came in .' + └─────────────s─────────────> 'His forces continued shelling Misrata .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# In response to the unanimous passage of United Nations Security Council Resolution 1973 on March 17, Gaddafi—who had previously vowed to show no mercy to the rebels of Benghazi—announced an immediate cessation of military activities, yet reports came in that his forces continued shelling Misrata. + +721fac095b174df7a7d2d74fadda14ad 0 Gaddafi -- who had previously vowed to show no mercy to the rebels of Benghazi -- announced an immediate cessation of military activities . + L:TEMPORAL d712ccb7a9ee4b21b4766026c4f387bd + L:CONTRAST e49492e810404bd6aab095b346ee1520 + +d712ccb7a9ee4b21b4766026c4f387bd 1 This was in response . + S:TEMPORAL This was to the unanimous passage of United Nations Security Council Resolution 1973 on March 17 . + +e49492e810404bd6aab095b346ee1520 0 Reports came in . + L:TEMPORAL 35abeed0327e420faef3316bdfa3aec9 + L:UNKNOWN_SUBORDINATION 414283859009442291e42084c27fa850 + L:CONTRAST 721fac095b174df7a7d2d74fadda14ad + +35abeed0327e420faef3316bdfa3aec9 1 This was in response . + S:TEMPORAL This was to the unanimous passage of United Nations Security Council Resolution 1973 on March 17 . + +414283859009442291e42084c27fa850 1 His forces continued shelling Misrata . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 398/527 # + +'The next day, on Obama's orders, the U.S. military took part in air strikes to destroy the Libyan government's air defense capabilities to protect civilians and enforce a no-fly-zone, including the use of Tomahawk missiles, B-2 Spirits, and fighter jets.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/PURPOSE (NULL, PurposePostExtractor) + ├───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + | ├────────s────────> 'This was in air strikes .' + | └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalMiddleFinalExtractor) + | ├───s───> 'This was on Obama 's orders .' + | └───n───> 'The next day the U.S. military took part .' + └─────────────s─────────────> 'This was to destroy the Libyan government 's air defense capabilities to protect civilians and enforce a no-fly-zone , including the use of Tomahawk missiles , B-2 Spirits , and fighter jets .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# The next day, on Obama's orders, the U.S. military took part in air strikes to destroy the Libyan government's air defense capabilities to protect civilians and enforce a no-fly-zone, including the use of Tomahawk missiles, B-2 Spirits, and fighter jets. + +0bc9d226ee524570bfe3cac7c7fd1fa8 0 The next day the U.S. military took part . + S:UNKNOWN_SUBORDINATION This was on Obama 's orders . + S:UNKNOWN_SUBORDINATION This was in air strikes . + S:PURPOSE This was to destroy the Libyan government 's air defense capabilities to protect civilians and enforce a no-fly-zone , including the use of Tomahawk missiles , B-2 Spirits , and fighter jets . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 399/527 # + +'Six days later, on March 25, by unanimous vote of all of its 28 members, NATO took over leadership of the effort, dubbed Operation Unified Protector.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/UNKNOWN_SUBORDINATION ('', ParticipialMiddleExtractor) + ├───n───> SUB/TEMPORAL (NULL, PrepositionalMiddleFinalExtractor) + | ├────────s────────> 'This was on March 25 .' + | └───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + | ├───s───> 'This was six days later by unanimous vote of all of its 28 members .' + | └───n───> 'NATO took over leadership of the effort .' + └─────────────s─────────────> 'The effort was dubbed Operation Unified Protector .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# Six days later, on March 25, by unanimous vote of all of its 28 members, NATO took over leadership of the effort, dubbed Operation Unified Protector. + +d6eda140de844f24826511ad4aa4f39c 0 NATO took over leadership of the effort . + S:TEMPORAL This was six days later by unanimous vote of all of its 28 members . + S:TEMPORAL This was on March 25 . + L:UNKNOWN_SUBORDINATION 2a25fa30452f4757898e43c32a2d84db + +2a25fa30452f4757898e43c32a2d84db 1 The effort was dubbed Operation Unified Protector . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 400/527 # + +'Some Representatives questioned whether Obama had the constitutional authority to order military action in addition to questioning its cost, structure and aftermath.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/ATTRIBUTION (NULL, SubordinationPostAttributionExtractor) + ├────────s────────> 'This was what some Representatives questioned .' + └───n───> CO/LIST (NULL, PostListNPExtractor) + ├───n───> 'Whether Obama had the constitutional authority to order military action in addition to questioning its cost .' + ├───n───> 'Whether Obama had the constitutional authority to order military action in addition to questioning structure .' + └───n───> 'Whether Obama had the constitutional authority to order military action in addition to questioning aftermath .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# Some Representatives questioned whether Obama had the constitutional authority to order military action in addition to questioning its cost, structure and aftermath. + +2d2f6b7f9fbc4635a0136e47dddeaa96 0 Whether Obama had the constitutional authority to order military action in addition to questioning its cost . + S:ATTRIBUTION This was what some Representatives questioned . + L:LIST 36675318db6448a19ad29f1d67be348f + L:LIST e3ff8abac11a44ee9520cb05e3381947 + +36675318db6448a19ad29f1d67be348f 0 Whether Obama had the constitutional authority to order military action in addition to questioning structure . + S:ATTRIBUTION This was what some Representatives questioned . + L:LIST e3ff8abac11a44ee9520cb05e3381947 + L:LIST 2d2f6b7f9fbc4635a0136e47dddeaa96 + +e3ff8abac11a44ee9520cb05e3381947 0 Whether Obama had the constitutional authority to order military action in addition to questioning aftermath . + S:ATTRIBUTION This was what some Representatives questioned . + L:LIST 2d2f6b7f9fbc4635a0136e47dddeaa96 + L:LIST 36675318db6448a19ad29f1d67be348f + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 401/527 # + +'On August 18, 2011, several months after the start of the Syrian Civil War, Obama issued a written statement that said: The time has come for President Assad to step aside.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> CO/UNKNOWN_COORDINATION (':', CoordinationExtractor) + ├───n───> SUB/IDENTIFYING_DEFINITION ('that', RestrictiveRelativeClauseWhoWhichExtractor) + | ├───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + | | ├─────────────s─────────────> 'This was on August 18 , 2011 .' + | | └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalInitialExtractor) + | | ├───s───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + | | | ├───s───> 'This was after the start of the Syrian Civil War .' + | | | └───n───> 'This was several months .' + | | └────────n────────> 'Obama issued a written statement .' + | └──────────────────s──────────────────> 'A written statement said .' + └────────n────────> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) + ├─────────────s─────────────> 'Assad was President .' + └───n───> SUB/PURPOSE (NULL, PurposePostExtractor) + ├───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + | ├───s───> 'This was on August 18 , 2011 .' + | └───n───> 'The time has come for Assad .' + └────────s────────> 'This was to step aside .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# On August 18, 2011, several months after the start of the Syrian Civil War, Obama issued a written statement that said: The time has come for President Assad to step aside. + +92137a04f2964366a2084e796d91e3fc 0 Obama issued a written statement . + S:TEMPORAL This was on August 18 , 2011 . + L:UNKNOWN_SUBORDINATION 9d5b6754bd1d42a5a6832ca171dd8389 + L:IDENTIFYING_DEFINITION 56aff8ec480346eab040798663c3e6f2 + +9d5b6754bd1d42a5a6832ca171dd8389 1 This was several months . + S:UNKNOWN_SUBORDINATION This was after the start of the Syrian Civil War . + +56aff8ec480346eab040798663c3e6f2 1 A written statement said . + +9b66a16f3e724627a222872b1a83b6d7 0 The time has come for Assad . + S:TEMPORAL This was on August 18 , 2011 . + S:PURPOSE This was to step aside . + L:ELABORATION 2a2842dda74d4c469ddefc4caf233136 + +2a2842dda74d4c469ddefc4caf233136 1 Assad was President . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 402/527 # + +'This stance was reaffirmed in November 2015.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> 'This stance was reaffirmed in November 2015 .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# This stance was reaffirmed in November 2015. + +4f3ba1d0f0ac4544a22efcb90a65d207 0 This stance was reaffirmed in November 2015 . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 403/527 # + +'In 2012, Obama authorized multiple programs run by the CIA and the Pentagon to train anti-Assad rebels.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/IDENTIFYING_DEFINITION ('', RestrictiveParticipialExtractor) + ├────────n────────> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + | ├───s───> 'This was in 2012 .' + | └───n───> 'Obama authorized multiple programs .' + └───s───> SUB/PURPOSE (NULL, PurposePostExtractor) + ├───n───> CO/LIST (NULL, PostListNPExtractor) + | ├───n───> 'Multiple programs were run by the CIA .' + | └───n───> 'Multiple programs were run by the Pentagon .' + └────────s────────> 'This was to train anti-Assad rebels .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# In 2012, Obama authorized multiple programs run by the CIA and the Pentagon to train anti-Assad rebels. + +cef2ec79b1f14fcba9f56ba73fef819f 0 Obama authorized multiple programs . + S:TEMPORAL This was in 2012 . + L:IDENTIFYING_DEFINITION 55fee3b211b5481b823182c55c11a0b0 + L:IDENTIFYING_DEFINITION d02d80032150438692e0014ace1e3967 + +55fee3b211b5481b823182c55c11a0b0 1 Multiple programs were run by the CIA . + S:PURPOSE This was to train anti-Assad rebels . + L:LIST d02d80032150438692e0014ace1e3967 + +d02d80032150438692e0014ace1e3967 1 Multiple programs were run by the Pentagon . + S:PURPOSE This was to train anti-Assad rebels . + L:LIST 55fee3b211b5481b823182c55c11a0b0 + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 404/527 # + +'The Pentagon-run program was later found to have failed and was formally abandoned in October 2015.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> CO/LIST ('and', SharedNPPostCoordinationExtractor) + ├───n───> 'The Pentagon-run program was later found to have failed .' + └───n───> 'The Pentagon-run program was formally abandoned in October 2015 .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# The Pentagon-run program was later found to have failed and was formally abandoned in October 2015. + +c4d76eae6a49480a9213bd9d1964cb3c 0 The Pentagon-run program was later found to have failed . + L:LIST b32720b07a2042d69013dfd4a95232d5 + +b32720b07a2042d69013dfd4a95232d5 0 The Pentagon-run program was formally abandoned in October 2015 . + L:LIST c4d76eae6a49480a9213bd9d1964cb3c + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 405/527 # + +'In the wake of a chemical weapons attack in Syria, formally blamed by the Obama administration on the Assad government, Obama chose not to enforce the red line he had pledged and, rather than authorize the promised military action against Assad, went along with the Russia-brokered deal that led to Assad giving up chemical weapons; however attacks with chlorine gas continued.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> CO/UNKNOWN_COORDINATION (';', CoordinationExtractor) + └───n───> CO/CONTRAST ('However', ReferenceInitialAdverbialExtractor) + ├───n───> CO/CONTRAST ('and , rather than authorize the promised military action against Assad ,', SharedNPPostCoordinationExtractor) + | ├───n───> SUB/UNKNOWN_SUBORDINATION ('', ParticipialMiddleExtractor) + | | ├───n───> SUB/IDENTIFYING_DEFINITION ('', RestrictiveRelativeClauseWithoutRelativePronounExtractor) + | | | ├───n───> SUB/SPATIAL (NULL, PrepositionalInitialExtractor) + | | | | ├───s───> 'This was in the wake of a chemical weapons attack in Syria .' + | | | | └───n───> 'Obama chose not to enforce the red line .' + | | | └────────s────────> 'He had pledged the red line .' + | | └────────s────────> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + | | ├───s───> 'This was on the Assad government .' + | | └───n───> 'The wake of a chemical weapons attack in Syria was formally blamed by the Obama administration .' + | └───n───> SUB/UNKNOWN_SUBORDINATION ('', ParticipialMiddleExtractor) + | ├───n───> SUB/IDENTIFYING_DEFINITION ('that', RestrictiveRelativeClauseWhoWhichExtractor) + | | ├───n───> SUB/SPATIAL (NULL, PrepositionalInitialExtractor) + | | | ├───s───> 'This was in the wake of a chemical weapons attack in Syria .' + | | | └───n───> 'Obama went along with the Russia-brokered deal .' + | | └───s───> CO/UNKNOWN_COORDINATION (NULL, SharedNPPostParticipalExtractor) + | | ├───n───> 'The Russia-brokered deal led to Assad .' + | | └───n───> 'The Russia-brokered deal was giving up chemical weapons .' + | └────────s────────> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + | ├───s───> 'This was on the Assad government .' + | └───n───> 'The wake of a chemical weapons attack in Syria was formally blamed by the Obama administration .' + └───────────────────────n───────────────────────> 'Attacks with chlorine gas continued .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# In the wake of a chemical weapons attack in Syria, formally blamed by the Obama administration on the Assad government, Obama chose not to enforce the red line he had pledged and, rather than authorize the promised military action against Assad, went along with the Russia-brokered deal that led to Assad giving up chemical weapons; however attacks with chlorine gas continued. + +da1dbb646c6d481d8ad74033b77fd46c 0 Obama chose not to enforce the red line . + S:SPATIAL This was in the wake of a chemical weapons attack in Syria . + L:IDENTIFYING_DEFINITION c7dee109c41847a4b16f226664c64e1d + L:UNKNOWN_SUBORDINATION 8aa17f41efef4381aae9271765d719ed + L:CONTRAST c635cff77a3e4a428fac5cef33946649 + L:CONTRAST a40eba3db0ad45cb99ac54c318175bc7 + +c7dee109c41847a4b16f226664c64e1d 1 He had pledged the red line . + +8aa17f41efef4381aae9271765d719ed 1 The wake of a chemical weapons attack in Syria was formally blamed by the Obama administration . + S:UNKNOWN_SUBORDINATION This was on the Assad government . + +c635cff77a3e4a428fac5cef33946649 0 Obama went along with the Russia-brokered deal . + S:SPATIAL This was in the wake of a chemical weapons attack in Syria . + L:IDENTIFYING_DEFINITION af3fcba303cc405da1b1c9d437a14f19 + L:IDENTIFYING_DEFINITION 710aa3cfdefc44b3adbf3246121077e3 + L:UNKNOWN_SUBORDINATION f03de87a01b24b11b08203b734a1ada5 + L:CONTRAST da1dbb646c6d481d8ad74033b77fd46c + L:CONTRAST a40eba3db0ad45cb99ac54c318175bc7 + +af3fcba303cc405da1b1c9d437a14f19 1 The Russia-brokered deal led to Assad . + +710aa3cfdefc44b3adbf3246121077e3 1 The Russia-brokered deal was giving up chemical weapons . + +f03de87a01b24b11b08203b734a1ada5 1 The wake of a chemical weapons attack in Syria was formally blamed by the Obama administration . + S:UNKNOWN_SUBORDINATION This was on the Assad government . + +a40eba3db0ad45cb99ac54c318175bc7 0 Attacks with chlorine gas continued . + L:CONTRAST da1dbb646c6d481d8ad74033b77fd46c + L:CONTRAST c635cff77a3e4a428fac5cef33946649 + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 406/527 # + +'In 2014, Obama authorized an air campaign aimed primarily at ISIL, but repeatedly promised that the U.S. would not deploy ground troops in Syria.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/UNKNOWN_SUBORDINATION ('', SubordinationPostExtractor) + ├─────────────n─────────────> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + | ├───s───> 'This was in 2014 .' + | └───n───> 'Obama authorized .' + └───s───> CO/CONTRAST (', but', SharedNPPostCoordinationExtractor) + ├─────────────n─────────────> 'An air campaign aimed primarily at ISIL .' + └───n───> SUB/UNKNOWN_SUBORDINATION ('that', SubordinationPostExtractor) + ├────────n────────> 'An air campaign repeatedly promised .' + └───s───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) + ├───s───> 'This is in Syria .' + └───n───> 'The U.S. would not deploy ground troops .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# In 2014, Obama authorized an air campaign aimed primarily at ISIL, but repeatedly promised that the U.S. would not deploy ground troops in Syria. + +b0424572f0894d5dbb44b8f42ea3732d 0 Obama authorized . + S:TEMPORAL This was in 2014 . + L:UNKNOWN_SUBORDINATION 5a2d7652f2b94b219621ef4c3be4657c + L:UNKNOWN_SUBORDINATION d15facfea7ca4c86b64948eb994f55ac + +5a2d7652f2b94b219621ef4c3be4657c 1 An air campaign aimed primarily at ISIL . + L:CONTRAST d15facfea7ca4c86b64948eb994f55ac + +d15facfea7ca4c86b64948eb994f55ac 1 An air campaign repeatedly promised . + L:UNKNOWN_SUBORDINATION 431a934560104612a050df7562ff0d23 + L:CONTRAST 5a2d7652f2b94b219621ef4c3be4657c + +431a934560104612a050df7562ff0d23 2 The U.S. would not deploy ground troops . + S:SPATIAL This is in Syria . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 407/527 # + +'President Barack Obama and Vice President Joe Biden, along with members of the national security team, receive an update on Operation Neptune's Spear, a mission against Osama bin Laden, in one of the conference rooms of the Situation Room of the White House, on May 1, 2011.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) + ├─────────────────────────────────s─────────────────────────────────> 'Barack Obama is President .' + └───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) + ├───────────────────────s───────────────────────> CO/LIST (NULL, PostListNPExtractor) + | ├───n───> 'Joe Biden is Barack Obama .' + | └───n───> 'Joe Biden is Vice .' + └───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) + ├───────────────────────s───────────────────────> 'Neptune is Operation .' + └───n───> SUB/ELABORATION (NULL, NonRestrictiveAppositionExtractor) + ├──────────────────s──────────────────> 'A mission against Osama bin Laden is Neptune 's Spear .' + └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, AdjectivalAdverbialMiddleFinalExtractor) + ├─────────────s─────────────> 'This is along with members of the national security team .' + └───n───> SUB/TEMPORAL (NULL, PrepositionalMiddleFinalExtractor) + ├────────s────────> 'This is on May 1 , 2011 .' + └───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) + ├───s───> 'This is on Neptune 's Spear in one of the conference rooms of the Situation Room of the White House .' + └───n───> 'Joe Biden receive an update .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# President Barack Obama and Vice President Joe Biden, along with members of the national security team, receive an update on Operation Neptune's Spear, a mission against Osama bin Laden, in one of the conference rooms of the Situation Room of the White House, on May 1, 2011. + +eeaaeffc2e0d4630a16b9b97d7bba1ab 0 Joe Biden receive an update . + S:TEMPORAL This is on Neptune 's Spear in one of the conference rooms of the Situation Room of the White House . + S:TEMPORAL This is on May 1 , 2011 . + S:UNKNOWN_SUBORDINATION This is along with members of the national security team . + L:ELABORATION 91fe5c9a46e24cdfac218a910de5b442 + L:ELABORATION e4650e9d2ea34a7ebf0ce250396383df + L:ELABORATION 5b1a0d4af117428ca2123574e0e1cbda + L:ELABORATION 7c3cd37ecbe6470bb7048bed86631589 + L:ELABORATION 02833fe22ec74caa92949f7797d7e960 + +91fe5c9a46e24cdfac218a910de5b442 1 A mission against Osama bin Laden is Neptune 's Spear . + +e4650e9d2ea34a7ebf0ce250396383df 1 Neptune is Operation . + +5b1a0d4af117428ca2123574e0e1cbda 1 Joe Biden is Barack Obama . + L:LIST 7c3cd37ecbe6470bb7048bed86631589 + +7c3cd37ecbe6470bb7048bed86631589 1 Joe Biden is Vice . + L:LIST 5b1a0d4af117428ca2123574e0e1cbda + +02833fe22ec74caa92949f7797d7e960 1 Barack Obama is President . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 408/527 # + +'They are watching live feed from drones operating over the bin Laden complex.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + ├───s───> SUB/IDENTIFYING_DEFINITION ('', RestrictiveParticipialExtractor) + | ├───n───> 'This is from drones .' + | └───s───> 'Drones are operating over the bin Laden complex .' + └────────n────────> 'They are watching live feed .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# They are watching live feed from drones operating over the bin Laden complex. + +f47d44722c0d4695a593be25fe322887 0 They are watching live feed . + L:UNKNOWN_SUBORDINATION 3043d7a9c721408f8eb24778c968fdfd + +3043d7a9c721408f8eb24778c968fdfd 1 This is from drones . + L:IDENTIFYING_DEFINITION 7216a737f7c54e20b29ce7f2e09ce391 + +7216a737f7c54e20b29ce7f2e09ce391 2 Drones are operating over the bin Laden complex . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 409/527 # + +'Obama and members of the national security team receive an update on Operation Neptune's Spear in the White House Situation Room, May 1, 2011.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) + ├───s───> 'This is on Operation Neptune 's Spear in the White House Situation Room , May 1 , 2011 .' + └───n───> 'Obama and members of the national security team receive an update .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# Obama and members of the national security team receive an update on Operation Neptune's Spear in the White House Situation Room, May 1, 2011. + +143273eb3854406a96e226625b8e0165 0 Obama and members of the national security team receive an update . + S:TEMPORAL This is on Operation Neptune 's Spear in the White House Situation Room , May 1 , 2011 . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 410/527 # + +'See also:' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> 'See also :' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# See also: + +dd6c32643ee340fb9e5f707b6cef8270 0 See also : + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 411/527 # + +'Situation Room' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> 'Situation Room' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# Situation Room + +b7d4432593914ca19f82900820dadad8 0 Situation Room + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 412/527 # + +'Starting with information received from Central Intelligence Agency operatives in July 2010, the CIA developed intelligence over the next several months that determined what they believed to be the hideout of Osama bin Laden.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/IDENTIFYING_DEFINITION ('that', RestrictiveRelativeClauseWhoWhichExtractor) + ├───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + | ├─────────────s─────────────> 'This was over the next several months .' + | └───n───> SUB/IDENTIFYING_DEFINITION ('', RestrictiveParticipialExtractor) + | ├───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalInitialExtractor) + | | ├───s───> 'This was starting with information .' + | | └───n───> 'The CIA developed intelligence .' + | └───s───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) + | ├───s───> 'This was in July 2010 .' + | └───n───> 'Information was received from Central Intelligence Agency operatives .' + └─────────────s─────────────> SUB/UNKNOWN_SUBORDINATION ('what', SubordinationPostExtractor) + ├───n───> 'Intelligence over the next several months determined .' + └───s───> 'They believed to be the hideout of Osama bin Laden .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# Starting with information received from Central Intelligence Agency operatives in July 2010, the CIA developed intelligence over the next several months that determined what they believed to be the hideout of Osama bin Laden. + +51ce9dd0850042f89ed8f2f4ec2d3ade 0 The CIA developed intelligence . + S:UNKNOWN_SUBORDINATION This was starting with information . + S:UNKNOWN_SUBORDINATION This was over the next several months . + L:IDENTIFYING_DEFINITION 375f8db363a9414f8c1532e80c53c511 + L:IDENTIFYING_DEFINITION 7f9dab308b3548218896444f5f9df20e + +375f8db363a9414f8c1532e80c53c511 1 Information was received from Central Intelligence Agency operatives . + S:TEMPORAL This was in July 2010 . + +7f9dab308b3548218896444f5f9df20e 1 Intelligence over the next several months determined . + L:UNKNOWN_SUBORDINATION 3bcfe03c0dbf45f9a9560952453c8b58 + +3bcfe03c0dbf45f9a9560952453c8b58 2 They believed to be the hideout of Osama bin Laden . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 413/527 # + +'He was living in seclusion in a large compound in Abbottabad, Pakistan, a suburban area 35 miles (56 km) from Islamabad.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/ELABORATION (NULL, NonRestrictiveAppositionExtractor) + ├────────s────────> CO/UNKNOWN_COORDINATION ('', SharedNPPreParticipalExtractor) + | ├───n───> 'Pakistan was abbottabad .' + | └───n───> 'Pakistan was a suburban area 35 miles -LRB- 56 km -RRB- .' + └───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) + ├────────s────────> 'This was from Islamabad .' + └───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) + ├───s───> 'This was in a large compound in Abbottabad , Pakistan .' + └───n───> 'He was living in seclusion .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# He was living in seclusion in a large compound in Abbottabad, Pakistan, a suburban area 35 miles (56 km) from Islamabad. + +cbd4599c272c49bdb7cb6dc87246e0f5 0 He was living in seclusion . + S:SPATIAL This was in a large compound in Abbottabad , Pakistan . + S:SPATIAL This was from Islamabad . + L:ELABORATION 9b4863adccc24709a7bbedb9faacd292 + L:ELABORATION 9d86459c4e284fca8b9816c1b209f069 + +9b4863adccc24709a7bbedb9faacd292 1 Pakistan was abbottabad . + +9d86459c4e284fca8b9816c1b209f069 1 Pakistan was a suburban area 35 miles -LRB- 56 km -RRB- . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 414/527 # + +'CIA head Leon Panetta reported this intelligence to President Obama in March 2011.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) + ├──────────────────s──────────────────> 'Leon Panetta was CIA head .' + └───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) + ├─────────────s─────────────> 'Obama was President .' + └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + ├────────s────────> 'This was to Obama .' + └───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) + ├───s───> 'This was in March 2011 .' + └───n───> 'Leon Panetta reported this intelligence .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# CIA head Leon Panetta reported this intelligence to President Obama in March 2011. + +e2506520fbdc4dff9e845e03b9cadeba 0 Leon Panetta reported this intelligence . + S:TEMPORAL This was in March 2011 . + S:UNKNOWN_SUBORDINATION This was to Obama . + L:ELABORATION 3fe6f19204cd4843acf486471113b494 + L:ELABORATION afb1c0bf367f4c598124b53dd2693441 + +3fe6f19204cd4843acf486471113b494 1 Obama was President . + +afb1c0bf367f4c598124b53dd2693441 1 Leon Panetta was CIA head . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 415/527 # + +'Meeting with his national security advisers over the course of the next six weeks, Obama rejected a plan to bomb the compound, and authorized a surgical raid to be conducted by United States Navy SEALs.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> CO/UNKNOWN_COORDINATION ('', SharedNPPreParticipalExtractor) + ├────────n────────> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) + | ├───s───> 'This was over the course of the next six weeks .' + | └───n───> 'Obama was meeting with his national security advisers .' + └───n───> CO/LIST (', and', SharedNPPostCoordinationExtractor) + ├────────n────────> 'Obama rejected a plan to bomb the compound .' + └───n───> SUB/PURPOSE (NULL, PurposePostExtractor) + ├───n───> 'Obama authorized a surgical raid .' + └───s───> 'This was to be conducted by United States Navy SEALs .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# Meeting with his national security advisers over the course of the next six weeks, Obama rejected a plan to bomb the compound, and authorized a surgical raid to be conducted by United States Navy SEALs. + +ef9a006ab4fd4bd085d62d4f63d46bb1 0 Obama was meeting with his national security advisers . + S:TEMPORAL This was over the course of the next six weeks . + +a65c19283fdd4c15b3084be83334a524 0 Obama rejected a plan to bomb the compound . + L:LIST 04f3a099c050484685fd93a51ac90be7 + +04f3a099c050484685fd93a51ac90be7 0 Obama authorized a surgical raid . + S:PURPOSE This was to be conducted by United States Navy SEALs . + L:LIST a65c19283fdd4c15b3084be83334a524 + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 416/527 # + +'The operation took place on May 1, 2011, and resulted in the shooting death of bin Laden and the seizure of papers, computer drives and disks from the compound.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> CO/LIST ('and', SharedNPPostCoordinationExtractor) + ├────────n────────> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) + | ├───s───> 'This was on May 1 , 2011 .' + | └───n───> 'The operation took place .' + └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + ├────────s────────> 'This was from the compound .' + └───n───> CO/LIST (NULL, PostListNPExtractor) + ├───n───> 'The operation resulted in the shooting death of bin Laden .' + └───n───> 'The operation resulted in the seizure of papers , computer drives and disks .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# The operation took place on May 1, 2011, and resulted in the shooting death of bin Laden and the seizure of papers, computer drives and disks from the compound. + +c6cba76781ce4a77ab4c6675bde900f3 0 The operation took place . + S:TEMPORAL This was on May 1 , 2011 . + L:LIST 029e22f23e064508ba0b1229a55afc08 + L:LIST 28eea314afba4213b0cb2910df6e8b18 + +029e22f23e064508ba0b1229a55afc08 0 The operation resulted in the shooting death of bin Laden . + S:UNKNOWN_SUBORDINATION This was from the compound . + L:LIST 28eea314afba4213b0cb2910df6e8b18 + L:LIST c6cba76781ce4a77ab4c6675bde900f3 + +28eea314afba4213b0cb2910df6e8b18 0 The operation resulted in the seizure of papers , computer drives and disks . + S:UNKNOWN_SUBORDINATION This was from the compound . + L:LIST 029e22f23e064508ba0b1229a55afc08 + L:LIST c6cba76781ce4a77ab4c6675bde900f3 + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 417/527 # + +'DNA testing was one of five methods used to positively identify bin Laden's corpse, which was buried at sea several hours later.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/DESCRIBING_DEFINITION ('which', NonRestrictiveRelativeClauseWhoWhichExtractor) + ├───n───> SUB/IDENTIFYING_DEFINITION ('', RestrictiveParticipialExtractor) + | ├───n───> 'DNA testing was one of five methods .' + | └───s───> 'Five methods were used to positively identify bin Laden 's corpse .' + └────────s────────> 'Bin Laden 's corpse was buried at sea several hours later .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# DNA testing was one of five methods used to positively identify bin Laden's corpse, which was buried at sea several hours later. + +d14ddad22ed44e09bdbda25d98c0a55d 0 DNA testing was one of five methods . + L:IDENTIFYING_DEFINITION c89f04c41bec4ff8bcf54f0334085d1c + L:DESCRIBING_DEFINITION 752b08b42f5444b9b924cc4708ed468a + +c89f04c41bec4ff8bcf54f0334085d1c 1 Five methods were used to positively identify bin Laden 's corpse . + +752b08b42f5444b9b924cc4708ed468a 1 Bin Laden 's corpse was buried at sea several hours later . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 418/527 # + +'Within minutes of the President's announcement from Washington, DC, late in the evening on May 1, there were spontaneous celebrations around the country as crowds gathered outside the White House, and at New York City's Ground Zero and Times Square.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/IDENTIFYING_DEFINITION ('', RestrictiveParticipialExtractor) + ├───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + | ├───s───> SUB/UNKNOWN_SUBORDINATION (NULL, AdjectivalAdverbialMiddleFinalExtractor) + | | ├────────s────────> 'This was late in the evening on May 1 .' + | | └───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) + | | ├───s───> 'This was from Washington , DC .' + | | └───n───> 'This was within minutes of the President 's announcement .' + | └─────────────n─────────────> 'There were spontaneous celebrations around the country as crowds , and at New York City 's Ground Zero and Times Square .' + └──────────────────s──────────────────> 'Crowds were gathered outside the White House .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# Within minutes of the President's announcement from Washington, DC, late in the evening on May 1, there were spontaneous celebrations around the country as crowds gathered outside the White House, and at New York City's Ground Zero and Times Square. + +36112442e6a14dad8e0233d12b14547c 0 There were spontaneous celebrations around the country as crowds , and at New York City 's Ground Zero and Times Square . + L:TEMPORAL 6e884d4f80364cd88a834e0b377bd1a1 + L:IDENTIFYING_DEFINITION 76b04054812a40b69f7adb8c9b084d9a + +6e884d4f80364cd88a834e0b377bd1a1 1 This was within minutes of the President 's announcement . + S:SPATIAL This was from Washington , DC . + S:UNKNOWN_SUBORDINATION This was late in the evening on May 1 . + +76b04054812a40b69f7adb8c9b084d9a 1 Crowds were gathered outside the White House . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 419/527 # + +'Reaction to the announcement was positive across party lines, including from former presidents Bill Clinton and George W. Bush.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) + ├─────────────s─────────────> 'Bill Clinton was former presidents .' + └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalMiddleFinalExtractor) + ├───s───> CO/LIST (NULL, PostListNPExtractor) + | ├───n───> 'This was including from Bill Clinton .' + | └───n───> 'This was including from George W. Bush .' + └────────n────────> 'Reaction to the announcement was positive across party lines .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# Reaction to the announcement was positive across party lines, including from former presidents Bill Clinton and George W. Bush. + +b1aad458970a446797179df2afce9f28 0 Reaction to the announcement was positive across party lines . + L:UNKNOWN_SUBORDINATION f0903432b5e7418c9e2a32ac9c4b0c57 + L:UNKNOWN_SUBORDINATION 2b997780fa1c409d99f97d1fcda251cd + L:ELABORATION 7f5dcf84c7064716a3a99229d3b66cb6 + +f0903432b5e7418c9e2a32ac9c4b0c57 1 This was including from Bill Clinton . + L:LIST 2b997780fa1c409d99f97d1fcda251cd + +2b997780fa1c409d99f97d1fcda251cd 1 This was including from George W. Bush . + L:LIST f0903432b5e7418c9e2a32ac9c4b0c57 + +7f5dcf84c7064716a3a99229d3b66cb6 1 Bill Clinton was former presidents . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 420/527 # + +'In November 2013, the Obama administration opened negotiations with Iran to prevent it from acquiring nuclear weapons, which included an interim agreement.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/DESCRIBING_DEFINITION ('which', NonRestrictiveRelativeClauseWhoWhichExtractor) + ├───n───> SUB/PURPOSE (NULL, PurposePostExtractor) + | ├───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) + | | ├────────s────────> 'This was with Iran .' + | | └───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + | | ├───s───> 'This was in November 2013 .' + | | └───n───> 'The Obama administration opened negotiations .' + | └─────────────s─────────────> 'This was to prevent it from acquiring nuclear weapons .' + └──────────────────s──────────────────> 'Nuclear weapons included an interim agreement .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# In November 2013, the Obama administration opened negotiations with Iran to prevent it from acquiring nuclear weapons, which included an interim agreement. + +e03e66e73dd549418d56b4ea9d5c4a0e 0 The Obama administration opened negotiations . + S:TEMPORAL This was in November 2013 . + S:SPATIAL This was with Iran . + S:PURPOSE This was to prevent it from acquiring nuclear weapons . + L:DESCRIBING_DEFINITION 3034612bbbfd458389110bdf3246e350 + +3034612bbbfd458389110bdf3246e350 1 Nuclear weapons included an interim agreement . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 421/527 # + +'Negotiations took two years with numerous delays, with a deal being announced July 14, 2015.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + ├─────────────s─────────────> 'This was with numerous delays .' + └───n───> SUB/IDENTIFYING_DEFINITION ('', RestrictiveParticipialExtractor) + ├───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalMiddleFinalExtractor) + | ├───s───> 'This was with a deal .' + | └───n───> 'Negotiations took two years .' + └────────s────────> 'A deal was being announced July 14 , 2015 .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# Negotiations took two years with numerous delays, with a deal being announced July 14, 2015. + +6910544f52bc44a7b9e20d0d954de7e3 0 Negotiations took two years . + S:UNKNOWN_SUBORDINATION This was with a deal . + S:UNKNOWN_SUBORDINATION This was with numerous delays . + L:IDENTIFYING_DEFINITION c7234e28105b4596ab0e9c4dba7b4380 + +c7234e28105b4596ab0e9c4dba7b4380 1 A deal was being announced July 14 , 2015 . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 422/527 # + +'The deal, titled the Joint Comprehensive Plan of Action, saw the removal of sanctions in exchange for measures that would prevent Iran from producing nuclear weapons.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/UNKNOWN_SUBORDINATION ('', ParticipialMiddleExtractor) + ├───n───> SUB/IDENTIFYING_DEFINITION ('that', RestrictiveRelativeClauseWhoWhichExtractor) + | ├───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + | | ├────────s────────> 'This was for measures .' + | | └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + | | ├───s───> 'This was in exchange .' + | | └───n───> 'The deal saw the removal of sanctions .' + | └────────s────────> CO/UNKNOWN_COORDINATION (NULL, SharedNPPostParticipalExtractor) + | ├───n───> 'Measures would prevent Iran .' + | └───n───> 'Measures are producing nuclear weapons .' + └──────────────────s──────────────────> 'The deal was titled the Joint Comprehensive Plan of Action .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# The deal, titled the Joint Comprehensive Plan of Action, saw the removal of sanctions in exchange for measures that would prevent Iran from producing nuclear weapons. + +bf93067de9ab49f7a8fac6e8eaac5871 0 The deal saw the removal of sanctions . + S:UNKNOWN_SUBORDINATION This was in exchange . + S:UNKNOWN_SUBORDINATION This was for measures . + L:IDENTIFYING_DEFINITION 3d61df941cf449a8be2288cdae93e070 + L:IDENTIFYING_DEFINITION a64553133ad247cca7f8d1560d55c2aa + L:UNKNOWN_SUBORDINATION 2c768309eec3413e806fcc3395b831fc + +3d61df941cf449a8be2288cdae93e070 1 Measures would prevent Iran . + +a64553133ad247cca7f8d1560d55c2aa 1 Measures are producing nuclear weapons . + +2c768309eec3413e806fcc3395b831fc 1 The deal was titled the Joint Comprehensive Plan of Action . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 423/527 # + +'While Obama hailed the agreement as being a step towards a more hopeful world, the deal drew strong criticism from Republican and conservative quarters, and from Israeli prime minister Benjamin Netanyahu.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) + ├──────────────────s──────────────────> 'Benjamin Netanyahu was Israeli prime minister .' + └───n───> CO/CONTRAST ('While', SubordinationPreExtractor) + ├───n───> SUB/BACKGROUND (NULL, SharedNPPostParticipalExtractor) + | ├────────n────────> 'Obama hailed the agreement .' + | └───s───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + | ├───s───> 'This was towards a more hopeful world .' + | └───n───> 'Obama was being a step .' + └────────n────────> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + ├───s───> 'This was from Republican and conservative quarters , and from Benjamin Netanyahu .' + └───n───> 'The deal drew strong criticism .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# While Obama hailed the agreement as being a step towards a more hopeful world, the deal drew strong criticism from Republican and conservative quarters, and from Israeli prime minister Benjamin Netanyahu. + +126c06365dbb44cea29d89c98766bacb 0 Obama hailed the agreement . + L:BACKGROUND de64a521396044ddb13b31de191189d7 + L:CONTRAST 72e11eb80a234f7394f8edc437187126 + L:ELABORATION bf82810bbb004ce5bfb92bfbe2e491e5 + +de64a521396044ddb13b31de191189d7 1 Obama was being a step . + S:UNKNOWN_SUBORDINATION This was towards a more hopeful world . + +72e11eb80a234f7394f8edc437187126 0 The deal drew strong criticism . + S:UNKNOWN_SUBORDINATION This was from Republican and conservative quarters , and from Benjamin Netanyahu . + L:CONTRAST 126c06365dbb44cea29d89c98766bacb + L:ELABORATION bf82810bbb004ce5bfb92bfbe2e491e5 + +bf82810bbb004ce5bfb92bfbe2e491e5 1 Benjamin Netanyahu was Israeli prime minister . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 424/527 # + +'In order to advance the deal, the Obama administration shielded Hezbollah from the Drug Enforcement Administration's project cassandra investigation regarding drug smuggling and from the Central Intelligence Agency.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/PURPOSE (NULL, SubordinationPrePurposeExtractor) + ├───s───> 'This was to advance the deal .' + └───n───> 'The Obama administration shielded Hezbollah from the Drug Enforcement Administration 's project cassandra investigation regarding drug smuggling and from the Central Intelligence Agency .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# In order to advance the deal, the Obama administration shielded Hezbollah from the Drug Enforcement Administration's project cassandra investigation regarding drug smuggling and from the Central Intelligence Agency. + +5ab99104e83540fabc9d95eafb456dc9 0 The Obama administration shielded Hezbollah from the Drug Enforcement Administration 's project cassandra investigation regarding drug smuggling and from the Central Intelligence Agency . + S:PURPOSE This was to advance the deal . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 425/527 # + +'Since the spring of 2013, secret meetings were conducted between the United States and Cuba in the neutral locations of Canada and Vatican City.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) + ├────────s────────> 'This was in the neutral locations of Canada and Vatican City .' + └───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + ├───s───> 'This was since the spring of 2013 .' + └───n───> 'Secret meetings were conducted between the United States and Cuba .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# Since the spring of 2013, secret meetings were conducted between the United States and Cuba in the neutral locations of Canada and Vatican City. + +2e614e0215784101a7fbe5dcf29d0c58 0 Secret meetings were conducted between the United States and Cuba . + S:TEMPORAL This was since the spring of 2013 . + S:SPATIAL This was in the neutral locations of Canada and Vatican City . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 426/527 # + +'The Vatican first became involved in 2013 when Pope Francis advised the U.S. and Cuba to exchange prisoners as a gesture of goodwill.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/BACKGROUND ('when', SubordinationPostExtractor) + ├─────────────n─────────────> 'The Vatican first became involved in 2013 .' + └───s───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + ├────────s────────> 'This was to exchange prisoners .' + └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + ├───s───> 'This was as a gesture of goodwill .' + └───n───> 'Pope Francis advised the U.S. and Cuba .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# The Vatican first became involved in 2013 when Pope Francis advised the U.S. and Cuba to exchange prisoners as a gesture of goodwill. + +137d22c3407040fa8d424125d93ec6b1 0 The Vatican first became involved in 2013 . + L:BACKGROUND f3fb5e9accc649b89ce29806006100e9 + +f3fb5e9accc649b89ce29806006100e9 1 Pope Francis advised the U.S. and Cuba . + S:UNKNOWN_SUBORDINATION This was as a gesture of goodwill . + S:UNKNOWN_SUBORDINATION This was to exchange prisoners . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 427/527 # + +'On December 10, 2013, Cuban President Raúl Castro, in a significant public moment, greeted and shook hands with Obama at the Nelson Mandela memorial service in Johannesburg.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) + ├────────────────────────────s────────────────────────────> 'Raúl Castro was Cuban President .' + └───n───> CO/LIST ('and', SharedNPPostCoordinationExtractor) + ├─────────────n─────────────> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + | ├────────s────────> 'This was on December 10 , 2013 .' + | └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalMiddleFinalExtractor) + | ├───s───> 'This was in a significant public moment .' + | └───n───> 'Raúl Castro greeted .' + └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + ├──────────────────s──────────────────> 'This was with Obama .' + └───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) + ├─────────────s─────────────> 'This was at the Nelson Mandela memorial service in Johannesburg .' + └───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + ├────────s────────> 'This was on December 10 , 2013 .' + └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalMiddleFinalExtractor) + ├───s───> 'This was in a significant public moment .' + └───n───> 'Raúl Castro shook hands .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# On December 10, 2013, Cuban President Raúl Castro, in a significant public moment, greeted and shook hands with Obama at the Nelson Mandela memorial service in Johannesburg. + +0b2e4a6cf3f141728eeffbba29ec50c5 0 Raúl Castro greeted . + S:UNKNOWN_SUBORDINATION This was in a significant public moment . + S:TEMPORAL This was on December 10 , 2013 . + L:LIST f06c40ce6ecd4f6fb84485dd2645bac2 + L:ELABORATION d480ab63bde141fd978dc2ee855cd3d6 + +f06c40ce6ecd4f6fb84485dd2645bac2 0 Raúl Castro shook hands . + S:UNKNOWN_SUBORDINATION This was in a significant public moment . + S:TEMPORAL This was on December 10 , 2013 . + S:SPATIAL This was at the Nelson Mandela memorial service in Johannesburg . + S:UNKNOWN_SUBORDINATION This was with Obama . + L:LIST 0b2e4a6cf3f141728eeffbba29ec50c5 + L:ELABORATION d480ab63bde141fd978dc2ee855cd3d6 + +d480ab63bde141fd978dc2ee855cd3d6 1 Raúl Castro was Cuban President . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 428/527 # + +'In December 2014, after the secret meetings, it was announced that Obama, with Pope Francis as an intermediary, had negotiated a restoration of relations with Cuba, after nearly sixty years of détente.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/ATTRIBUTION (NULL, SubordinationPostAttributionExtractor2) + ├──────────────────s──────────────────> 'This was what it was announced in December 2014 .' + └───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) + ├─────────────s─────────────> 'This was with Cuba .' + └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalMiddleFinalExtractor) + ├────────s────────> 'This was with Pope Francis as an intermediary .' + └───n───> SUB/TEMPORAL (NULL, PrepositionalMiddleFinalExtractor) + ├───s───> 'This was after nearly sixty years of détente .' + └───n───> 'Obama had negotiated a restoration of relations .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# In December 2014, after the secret meetings, it was announced that Obama, with Pope Francis as an intermediary, had negotiated a restoration of relations with Cuba, after nearly sixty years of détente. + +99e625aa971c4eb0ac6912871c9603b2 0 Obama had negotiated a restoration of relations . + S:TEMPORAL This was after nearly sixty years of détente . + S:UNKNOWN_SUBORDINATION This was with Pope Francis as an intermediary . + S:SPATIAL This was with Cuba . + S:ATTRIBUTION This was what it was announced in December 2014 . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 429/527 # + +'Popularly dubbed the Cuban Thaw, The New Republic deemed the Cuban Thaw to be Obama's finest foreign policy achievement.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> 'Popularly dubbed the Cuban Thaw , The New Republic deemed the Cuban Thaw to be Obama 's finest foreign policy achievement .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# Popularly dubbed the Cuban Thaw, The New Republic deemed the Cuban Thaw to be Obama's finest foreign policy achievement. + +8f7414ced5144a938ff16933a44c60be 0 Popularly dubbed the Cuban Thaw , The New Republic deemed the Cuban Thaw to be Obama 's finest foreign policy achievement . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 430/527 # + +'On July 1, 2015, President Barack Obama announced that formal diplomatic relations between Cuba and the United States would resume, and embassies would be opened in Washington and Havana.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> CO/LIST (', and', CoordinationExtractor) + ├───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) + | ├────────s────────> 'Barack Obama was President .' + | └───n───> SUB/ATTRIBUTION (NULL, SubordinationPostAttributionExtractor2) + | ├───s───> 'This was what Barack Obama announced on July 1 , 2015 .' + | └───n───> 'Formal diplomatic relations between Cuba and the United States would resume .' + └────────n────────> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + ├───s───> 'This was on July 1 , 2015 .' + └───n───> 'Embassies would be opened in Washington and Havana .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# On July 1, 2015, President Barack Obama announced that formal diplomatic relations between Cuba and the United States would resume, and embassies would be opened in Washington and Havana. + +ad7f5feb75ff4157bfa631195851ee48 0 Formal diplomatic relations between Cuba and the United States would resume . + S:ATTRIBUTION This was what Barack Obama announced on July 1 , 2015 . + L:ELABORATION 3ba98de8d5ab4ab28721ccc7e65daf56 + L:LIST 905e450b74014ac9bdc742298a7a7d0f + +3ba98de8d5ab4ab28721ccc7e65daf56 1 Barack Obama was President . + +905e450b74014ac9bdc742298a7a7d0f 0 Embassies would be opened in Washington and Havana . + S:TEMPORAL This was on July 1 , 2015 . + L:LIST ad7f5feb75ff4157bfa631195851ee48 + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 431/527 # + +'The countries' respective interests sections in one another's capitals were upgraded to embassies on July 20 and August 13, 2015, respectively.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/IDENTIFYING_DEFINITION ('', RestrictiveRelativeClauseWithoutRelativePronounExtractor) + ├───n───> SUB/UNKNOWN_SUBORDINATION (NULL, AdjectivalAdverbialMiddleFinalExtractor) + | ├────────s────────> 'This was respectively .' + | └───n───> CO/LIST (NULL, PostListNPExtractor) + | ├───n───> 'The countries ' respective interests sections in one were upgraded to embassies on July 20 .' + | └───n───> 'The countries ' respective interests sections in one were upgraded to embassies on August 13 , 2015 .' + └─────────────s─────────────> 'Another 's capitals one .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# The countries' respective interests sections in one another's capitals were upgraded to embassies on July 20 and August 13, 2015, respectively. + +b37bce67ac604e6e93c5de6281ebc456 0 The countries ' respective interests sections in one were upgraded to embassies on July 20 . + S:UNKNOWN_SUBORDINATION This was respectively . + L:LIST ba80ad1d3a8a4bdeb88327738c8c857c + L:IDENTIFYING_DEFINITION aec25e14a4af46c8aaf5bda21b278a32 + +ba80ad1d3a8a4bdeb88327738c8c857c 0 The countries ' respective interests sections in one were upgraded to embassies on August 13 , 2015 . + S:UNKNOWN_SUBORDINATION This was respectively . + L:LIST b37bce67ac604e6e93c5de6281ebc456 + L:IDENTIFYING_DEFINITION aec25e14a4af46c8aaf5bda21b278a32 + +aec25e14a4af46c8aaf5bda21b278a32 1 Another 's capitals one . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 432/527 # + +'Obama visited Havana, Cuba for two days in March 2016, becoming the first sitting U.S. President to arrive since Calvin Coolidge in 1928.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> CO/UNKNOWN_COORDINATION (NULL, SharedNPPostParticipalExtractor) + ├───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) + | ├───s───> 'This was in March 2016 .' + | └───n───> 'Obama visited Havana , Cuba for two days .' + └───n───> CO/UNKNOWN_COORDINATION (NULL, SharedNPPostParticipalExtractor) + ├───n───> 'Obama was becoming the first .' + └───n───> 'Obama was sitting U.S. President to arrive since Calvin Coolidge in 1928 .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# Obama visited Havana, Cuba for two days in March 2016, becoming the first sitting U.S. President to arrive since Calvin Coolidge in 1928. + +d556051346124f829c09709413306240 0 Obama visited Havana , Cuba for two days . + S:TEMPORAL This was in March 2016 . + +c4c8d287d6514b4ca676c52b4d774729 0 Obama was becoming the first . + +1f631bd4eede4560b5100cf389c5df2a 0 Obama was sitting U.S. President to arrive since Calvin Coolidge in 1928 . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 433/527 # + +'Obama spoke in front of the African Union in Addis Ababa, Ethiopia, on July 29, 2015, the first sitting U.S. president to do so.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) + ├─────────────s─────────────> 'This was on July 29 , 2015 .' + └───n───> SUB/PURPOSE (NULL, PurposePostExtractor) + ├───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) + | ├───s───> 'This was in Addis Ababa , Ethiopia , the first sitting U.S. president .' + | └───n───> 'Obama spoke in front of the African Union .' + └────────s────────> 'This was to do so .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# Obama spoke in front of the African Union in Addis Ababa, Ethiopia, on July 29, 2015, the first sitting U.S. president to do so. + +3be1aac8a01247b888104b9a7cee240c 0 Obama spoke in front of the African Union . + S:SPATIAL This was in Addis Ababa , Ethiopia , the first sitting U.S. president . + S:PURPOSE This was to do so . + S:TEMPORAL This was on July 29 , 2015 . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 434/527 # + +'He gave a speech encouraging the world to increase economic ties via investments and trade with the continent, and lauded the progresses made in education, infrastructure, and economy.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> CO/LIST (', and', SharedNPPostCoordinationExtractor) + ├───n───> SUB/UNKNOWN_SUBORDINATION ('', SubordinationPostExtractor) + | ├────────n────────> 'He gave .' + | └───s───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + | ├───s───> 'This is with the continent .' + | └───n───> 'A speech encouraging the world to increase economic ties via investments and trade .' + └───n───> SUB/IDENTIFYING_DEFINITION ('', RestrictiveParticipialExtractor) + ├────────n────────> 'He lauded the progresses .' + └───s───> CO/LIST (NULL, PostListNPExtractor) + ├───n───> 'The progresses was made in education .' + ├───n───> 'The progresses was made in infrastructure .' + └───n───> 'The progresses was made in economy .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# He gave a speech encouraging the world to increase economic ties via investments and trade with the continent, and lauded the progresses made in education, infrastructure, and economy. + +e675e4c3945a480d8cca7d6462501743 0 He gave . + L:UNKNOWN_SUBORDINATION eb3814b8b3124ce4b14938b5d43a3e86 + L:LIST 48dc36877ffa49549a2bbfb57895d206 + +eb3814b8b3124ce4b14938b5d43a3e86 1 A speech encouraging the world to increase economic ties via investments and trade . + S:UNKNOWN_SUBORDINATION This is with the continent . + +48dc36877ffa49549a2bbfb57895d206 0 He lauded the progresses . + L:IDENTIFYING_DEFINITION 684841ec6fad4b9983b523afa3b73cae + L:IDENTIFYING_DEFINITION 51f7f663def842f49a70d4d234e7ae54 + L:IDENTIFYING_DEFINITION c6749fbfaa0f4c7ea2fbf3dee1e88a74 + L:LIST e675e4c3945a480d8cca7d6462501743 + +684841ec6fad4b9983b523afa3b73cae 1 The progresses was made in education . + L:LIST 51f7f663def842f49a70d4d234e7ae54 + L:LIST c6749fbfaa0f4c7ea2fbf3dee1e88a74 + +51f7f663def842f49a70d4d234e7ae54 1 The progresses was made in infrastructure . + L:LIST c6749fbfaa0f4c7ea2fbf3dee1e88a74 + L:LIST 684841ec6fad4b9983b523afa3b73cae + +c6749fbfaa0f4c7ea2fbf3dee1e88a74 1 The progresses was made in economy . + L:LIST 684841ec6fad4b9983b523afa3b73cae + L:LIST 51f7f663def842f49a70d4d234e7ae54 + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 435/527 # + +'He also criticized the lack of democracy and leaders who refuse to step aside, discrimination against minorities (LGBT people, religious groups and ethnicities), and corruption.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/ELABORATION (NULL, NonRestrictiveAppositionExtractor) + ├─────────────s─────────────> 'LGBT people were religious groups and ethnicities .' + └───n───> SUB/IDENTIFYING_DEFINITION ('who', RestrictiveRelativeClauseWhoWhichExtractor) + ├───n───> CO/LIST (NULL, PostListNPExtractor) + | ├───n───> 'He also criticized the lack of democracy and leaders .' + | ├───n───> 'He also criticized discrimination against minorities -LRB- LGBT people -RRB- .' + | └───n───> 'He also criticized corruption .' + └────────s────────> 'The lack of democracy and leaders refuse to step aside .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# He also criticized the lack of democracy and leaders who refuse to step aside, discrimination against minorities (LGBT people, religious groups and ethnicities), and corruption. + +18a48eaf892a48d7b4047b4ac3d30bf9 0 He also criticized the lack of democracy and leaders . + L:LIST 684ccee849024f0c809b45f528c85779 + L:LIST 529d4fc9f2e34ba3811399f85658296c + L:IDENTIFYING_DEFINITION d932aa22be1e4db29cadedc61c2685f6 + L:ELABORATION 29a0938ea22144ec88c4e7880babae9a + +684ccee849024f0c809b45f528c85779 0 He also criticized discrimination against minorities -LRB- LGBT people -RRB- . + L:LIST 529d4fc9f2e34ba3811399f85658296c + L:LIST 18a48eaf892a48d7b4047b4ac3d30bf9 + L:IDENTIFYING_DEFINITION d932aa22be1e4db29cadedc61c2685f6 + L:ELABORATION 29a0938ea22144ec88c4e7880babae9a + +529d4fc9f2e34ba3811399f85658296c 0 He also criticized corruption . + L:LIST 18a48eaf892a48d7b4047b4ac3d30bf9 + L:LIST 684ccee849024f0c809b45f528c85779 + L:IDENTIFYING_DEFINITION d932aa22be1e4db29cadedc61c2685f6 + L:ELABORATION 29a0938ea22144ec88c4e7880babae9a + +d932aa22be1e4db29cadedc61c2685f6 1 The lack of democracy and leaders refuse to step aside . + +29a0938ea22144ec88c4e7880babae9a 1 LGBT people were religious groups and ethnicities . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 436/527 # + +'He suggested an intensified democratization and free trade, to significantly improve the quality of life for Africans.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/PURPOSE (NULL, PurposePostExtractor) + ├───n───> CO/LIST (NULL, PostListNPExtractor) + | ├───n───> 'He suggested an intensified democratization .' + | └───n───> 'He suggested free trade .' + └────────s────────> 'This was to significantly improve the quality of life for Africans .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# He suggested an intensified democratization and free trade, to significantly improve the quality of life for Africans. + +7a0bc937a5ae43b8ac1f7fbdbf99c87a 0 He suggested an intensified democratization . + S:PURPOSE This was to significantly improve the quality of life for Africans . + L:LIST 5456c1e2578a423c88d0f8fdcc332802 + +5456c1e2578a423c88d0f8fdcc332802 0 He suggested free trade . + S:PURPOSE This was to significantly improve the quality of life for Africans . + L:LIST 7a0bc937a5ae43b8ac1f7fbdbf99c87a + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 437/527 # + +'During his July 2015 trip, Obama also was the first U.S. president ever to visit Kenya, which is the homeland of his father.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/DESCRIBING_DEFINITION ('which', NonRestrictiveRelativeClauseWhoWhichExtractor) + ├───n───> SUB/PURPOSE (NULL, PurposePostExtractor) + | ├───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + | | ├───s───> 'This was during his July 2015 trip .' + | | └───n───> 'Obama also was the first U.S. president ever .' + | └────────s────────> 'This was to visit Kenya .' + └─────────────s─────────────> 'Kenya is the homeland of his father .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# During his July 2015 trip, Obama also was the first U.S. president ever to visit Kenya, which is the homeland of his father. + +20ffb3ff519144179111f289355f8755 0 Obama also was the first U.S. president ever . + S:TEMPORAL This was during his July 2015 trip . + S:PURPOSE This was to visit Kenya . + L:DESCRIBING_DEFINITION ba827dee19f94ce684f582b40ddfc7d8 + +ba827dee19f94ce684f582b40ddfc7d8 1 Kenya is the homeland of his father . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 438/527 # + +'On May 27, 2016, Obama became the first sitting American president to visit Hiroshima, Japan, 71 years after the U.S. atomic bombing of Hiroshima that ended World War II.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/IDENTIFYING_DEFINITION ('that', RestrictiveRelativeClauseWhoWhichExtractor) + ├───n───> SUB/PURPOSE (NULL, PurposePostExtractor) + | ├───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + | | ├───s───> 'This was on May 27 , 2016 .' + | | └───n───> 'Obama became the first sitting American president .' + | └────────s────────> 'This was to visit Hiroshima , Japan , 71 years after the U.S. atomic bombing of Hiroshima .' + └───s───> SUB/IDENTIFYING_DEFINITION ('', RestrictiveRelativeClauseWithoutRelativePronounExtractor) + ├────────n────────> 'The first sitting American president ended World War II .' + └───s───> SUB/ELABORATION (NULL, NonRestrictiveAppositionExtractor) + ├───s───> 'Hiroshima , Japan is 71 years .' + └───n───> 'To visit Hiroshima , Japan after the U.S. atomic bombing of Hiroshima The first sitting American president .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# On May 27, 2016, Obama became the first sitting American president to visit Hiroshima, Japan, 71 years after the U.S. atomic bombing of Hiroshima that ended World War II. + +9692ea0532a64888b48594b401e8958e 0 Obama became the first sitting American president . + S:TEMPORAL This was on May 27 , 2016 . + S:PURPOSE This was to visit Hiroshima , Japan , 71 years after the U.S. atomic bombing of Hiroshima . + L:IDENTIFYING_DEFINITION 12a490940c1f4a61852f769dc1d03079 + +12a490940c1f4a61852f769dc1d03079 1 The first sitting American president ended World War II . + L:IDENTIFYING_DEFINITION 706ee6392f8541efa3203b0a1ae85e38 + +706ee6392f8541efa3203b0a1ae85e38 2 To visit Hiroshima , Japan after the U.S. atomic bombing of Hiroshima The first sitting American president . + L:ELABORATION b61b8b80aeb0477fb7c9ae6ec9389edd + +b61b8b80aeb0477fb7c9ae6ec9389edd 3 Hiroshima , Japan is 71 years . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 439/527 # + +'Accompanied by Japanese Prime Minister Shinzō Abe, Obama paid tribute to the victims of the bombing at the Hiroshima Peace Memorial Museum.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) + ├──────────────────s──────────────────> 'Shinzō Abe was Japanese Prime Minister .' + └───n───> CO/UNKNOWN_COORDINATION ('', SharedNPPreParticipalExtractor) + ├─────────────n─────────────> 'Obama was accompanied by Shinzō Abe .' + └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + ├────────s────────> 'This was to the victims of the bombing .' + └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + ├───s───> 'This was at the Hiroshima Peace Memorial Museum .' + └───n───> 'Obama paid tribute .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# Accompanied by Japanese Prime Minister Shinzō Abe, Obama paid tribute to the victims of the bombing at the Hiroshima Peace Memorial Museum. + +6363d301c7664e28860cf7d6b12ac6ce 0 Obama was accompanied by Shinzō Abe . + L:ELABORATION b7575287bd5e42f3ab6de5332a4fdbbc + +8cc3fcd03af94c0ca6c988bda5e82655 0 Obama paid tribute . + S:UNKNOWN_SUBORDINATION This was at the Hiroshima Peace Memorial Museum . + S:UNKNOWN_SUBORDINATION This was to the victims of the bombing . + L:ELABORATION b7575287bd5e42f3ab6de5332a4fdbbc + +b7575287bd5e42f3ab6de5332a4fdbbc 1 Shinzō Abe was Japanese Prime Minister . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 440/527 # + +'Obama meets Russian President Vladimir Putin in September 2015.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) + ├───s───> 'Vladimir Putin is Russian President .' + └───n───> 'Obama meets Vladimir Putin in September 2015 .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# Obama meets Russian President Vladimir Putin in September 2015. + +dc6f50fdeef94d27ac259c17c1a61ddd 0 Obama meets Vladimir Putin in September 2015 . + L:ELABORATION 06723e18b6384799a553ac7df5cbb03d + +06723e18b6384799a553ac7df5cbb03d 1 Vladimir Putin is Russian President . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 441/527 # + +'After Russia's invasion of Crimea in 2014, military intervention in Syria in 2015, and the interference in the 2016 U.S. presidential election, Obama's Russia policy was widely seen as a failure.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/SPATIAL (NULL, PrepositionalInitialExtractor) + ├───s───> CO/LIST (NULL, PostListNPExtractor) + | ├───n───> 'This was after Russia 's invasion of Crimea in 2014 .' + | ├───n───> 'This was after military intervention in Syria in 2015 .' + | └───n───> 'This was after the interference in the 2016 U.S. presidential election .' + └────────n────────> 'Obama 's Russia policy was widely seen as a failure .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# After Russia's invasion of Crimea in 2014, military intervention in Syria in 2015, and the interference in the 2016 U.S. presidential election, Obama's Russia policy was widely seen as a failure. + +e1c6cfc8eea54123b6d4c720fffa4d3b 0 Obama 's Russia policy was widely seen as a failure . + L:SPATIAL aeec690030f842e298cfd3383b2d97f7 + L:SPATIAL 3c784f9b054b498680e045e670bbf044 + L:SPATIAL cfdbbd13be0b430b865d40e394cb3571 + +aeec690030f842e298cfd3383b2d97f7 1 This was after Russia 's invasion of Crimea in 2014 . + L:LIST 3c784f9b054b498680e045e670bbf044 + L:LIST cfdbbd13be0b430b865d40e394cb3571 + +3c784f9b054b498680e045e670bbf044 1 This was after military intervention in Syria in 2015 . + L:LIST cfdbbd13be0b430b865d40e394cb3571 + L:LIST aeec690030f842e298cfd3383b2d97f7 + +cfdbbd13be0b430b865d40e394cb3571 1 This was after the interference in the 2016 U.S. presidential election . + L:LIST aeec690030f842e298cfd3383b2d97f7 + L:LIST 3c784f9b054b498680e045e670bbf044 + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 442/527 # + +'George Robertson, a former UK defense secretary and NATO secretary-general, said that Obama had allowed Putin to jump back on the world stage and test the resolve of the West, adding that the legacy of this disaster would last.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/ELABORATION (NULL, NonRestrictiveAppositionExtractor) + ├────────s────────> 'George Robertson was a former UK defense secretary and NATO secretary-general .' + └───n───> SUB/ATTRIBUTION (NULL, SubordinationPostAttributionExtractor2) + ├───s───> 'This was what George Robertson said .' + └───n───> 'Obama had allowed Putin to jump back on the world stage and test the resolve of the West , adding that the legacy of this disaster would last .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# George Robertson, a former UK defense secretary and NATO secretary-general, said that Obama had allowed Putin to jump back on the world stage and test the resolve of the West, adding that the legacy of this disaster would last. + +68ad3d1cc19b428a9c0d5acca201b52d 0 Obama had allowed Putin to jump back on the world stage and test the resolve of the West , adding that the legacy of this disaster would last . + S:ATTRIBUTION This was what George Robertson said . + L:ELABORATION 1bedf18a67ff44619c59559307469f4e + +1bedf18a67ff44619c59559307469f4e 1 George Robertson was a former UK defense secretary and NATO secretary-general . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 443/527 # + +'See also: International reaction to the United States presidential election, 2008 and International reactions to the United States presidential election, 2012' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/ELABORATION (NULL, NonRestrictiveAppositionExtractor) + ├──────────────────s──────────────────> 'The United States presidential election is 2012 .' + └───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) + ├───s───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) + | ├────────s────────> 'This is to the United States presidential election .' + | └───n───> CO/LIST (NULL, PostListNPExtractor) + | ├───n───> 'This is to the United States presidential election .' + | ├───n───> 'This is to 2008 .' + | └───n───> 'This is to International reactions .' + └─────────────n─────────────> 'See also : International reaction .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# See also: International reaction to the United States presidential election, 2008 and International reactions to the United States presidential election, 2012 + +9fe72029a5f14163a1455512c2e3b87c 0 See also : International reaction . + L:SPATIAL 219beff37b1e402c8dd2064cdb35f89e + L:SPATIAL 65890a247dad4686b66a978c9e2b8e3e + L:SPATIAL f330943f67ba4e028dddc9477999f5ad + L:ELABORATION 1d9f5f4b75bc4cf48f23568da85eebdb + +219beff37b1e402c8dd2064cdb35f89e 1 This is to the United States presidential election . + S:SPATIAL This is to the United States presidential election . + L:LIST 65890a247dad4686b66a978c9e2b8e3e + L:LIST f330943f67ba4e028dddc9477999f5ad + +65890a247dad4686b66a978c9e2b8e3e 1 This is to 2008 . + S:SPATIAL This is to the United States presidential election . + L:LIST f330943f67ba4e028dddc9477999f5ad + L:LIST 219beff37b1e402c8dd2064cdb35f89e + +f330943f67ba4e028dddc9477999f5ad 1 This is to International reactions . + S:SPATIAL This is to the United States presidential election . + L:LIST 219beff37b1e402c8dd2064cdb35f89e + L:LIST 65890a247dad4686b66a978c9e2b8e3e + +1d9f5f4b75bc4cf48f23568da85eebdb 1 The United States presidential election is 2012 . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 444/527 # + +'Obama's family history, upbringing, and Ivy League education differ markedly from those of African-American politicians who launched their careers in the 1960s through participation in the civil rights movement.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/IDENTIFYING_DEFINITION ('who', RestrictiveRelativeClauseWhoWhichExtractor) + ├─────────────n─────────────> SUB/UNKNOWN_SUBORDINATION (NULL, AdjectivalAdverbialMiddleFinalExtractor) + | ├───s───> 'This is upbringing , and Ivy .' + | └───n───> 'Obama 's family history League education differ markedly from those of African-American politicians .' + └───s───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + ├─────────────s─────────────> 'This was in the 1960s .' + └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + ├────────s────────> 'This was through participation .' + └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + ├───s───> 'This was in the civil rights movement .' + └───n───> 'Those of African-American politicians launched their careers .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# Obama's family history, upbringing, and Ivy League education differ markedly from those of African-American politicians who launched their careers in the 1960s through participation in the civil rights movement. + +65d0dc8a2fa8464b894a1c98bc2737fc 0 Obama 's family history League education differ markedly from those of African-American politicians . + S:UNKNOWN_SUBORDINATION This is upbringing , and Ivy . + L:IDENTIFYING_DEFINITION 5f3b16b50bd5441999728f9470b386d9 + +5f3b16b50bd5441999728f9470b386d9 1 Those of African-American politicians launched their careers . + S:UNKNOWN_SUBORDINATION This was in the civil rights movement . + S:UNKNOWN_SUBORDINATION This was through participation . + S:UNKNOWN_SUBORDINATION This was in the 1960s . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 445/527 # + +'Expressing puzzlement over questions about whether he is black enough, Obama told an August 2007 meeting of the National Association of Black Journalists that we're still locked in this notion that if you appeal to white folks then there must be something wrong.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> CO/UNKNOWN_COORDINATION ('', SharedNPPreParticipalExtractor) + ├─────────────n─────────────> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + | ├───s───> 'This was over questions about whether he is black enough .' + | └───n───> 'Obama was expressing puzzlement .' + └───n───> SUB/ATTRIBUTION (NULL, SubordinationPostAttributionExtractor2) + ├─────────────s─────────────> 'This was what Obama told an August 2007 meeting of the National Association of Black Journalists .' + └───n───> SUB/UNKNOWN_SUBORDINATION ('that', SubordinationPostExtractor) + ├────────n────────> 'We 're still locked in this notion .' + └───s───> SUB/CONDITION ('If', SubordinationPreExtractor) + ├───s───> 'You appeal to white folks then .' + └───n───> 'There must be something wrong .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# Expressing puzzlement over questions about whether he is black enough, Obama told an August 2007 meeting of the National Association of Black Journalists that we're still locked in this notion that if you appeal to white folks then there must be something wrong. + +d7533b0bc3414962a00db25e3364710c 0 Obama was expressing puzzlement . + S:UNKNOWN_SUBORDINATION This was over questions about whether he is black enough . + +6a23cc896bf44324a089a8f117d56dd7 0 We 're still locked in this notion . + S:ATTRIBUTION This was what Obama told an August 2007 meeting of the National Association of Black Journalists . + L:UNKNOWN_SUBORDINATION 3f4d2f5116b3422a8d2254333722aac4 + +3f4d2f5116b3422a8d2254333722aac4 1 There must be something wrong . + L:CONDITION ca3a1c38846b4e81965ec2c85cdfdd15 + +ca3a1c38846b4e81965ec2c85cdfdd15 2 You appeal to white folks then . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 446/527 # + +'Obama acknowledged his youthful image in an October 2007 campaign speech, saying: I wouldn't be here if, time and again, the torch had not been passed to a new generation.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) + ├───s───> 'This was in an October 2007 campaign speech .' + └───n───> 'Obama acknowledged his youthful image , saying : I would n't be here if , time and again , the torch had not been passed to a new generation .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# Obama acknowledged his youthful image in an October 2007 campaign speech, saying: I wouldn't be here if, time and again, the torch had not been passed to a new generation. + +d89e81a2f9fd41a6b6c3c41467b189a5 0 Obama acknowledged his youthful image , saying : I would n't be here if , time and again , the torch had not been passed to a new generation . + S:TEMPORAL This was in an October 2007 campaign speech . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 447/527 # + +'Obama is frequently referred to as an exceptional orator.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> 'Obama is frequently referred to as an exceptional orator .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# Obama is frequently referred to as an exceptional orator. + +afaaad42be314e6f910b910c79b87e51 0 Obama is frequently referred to as an exceptional orator . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 448/527 # + +'During his pre-inauguration transition period and continuing into his presidency, Obama delivered a series of weekly Internet video addresses.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalInitialExtractor) + ├───s───> 'This was during his pre-inauguration transition period and continuing into his presidency .' + └───n───> 'Obama delivered a series of weekly Internet video addresses .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# During his pre-inauguration transition period and continuing into his presidency, Obama delivered a series of weekly Internet video addresses. + +f443117901f0457895a43dc289707778 0 Obama delivered a series of weekly Internet video addresses . + S:UNKNOWN_SUBORDINATION This was during his pre-inauguration transition period and continuing into his presidency . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 449/527 # + +'Former presidential campaign surrogate and Georgetown professor, Michael Eric Dyson, is both critical and sympathetic of President Obama's leadership in race relations, indicating that Obama's speeches and action on racial disparity and justice have been somewhat reactive and reluctant when, especially in the later part of his second term, racial violence demanded immediate presidential action and conversation.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) + ├──────────────────s──────────────────> 'Obama was President .' + └───n───> SUB/ELABORATION (NULL, NonRestrictiveAppositionExtractor) + ├────────s────────> CO/LIST (NULL, PostListNPExtractor) + | ├───n───> 'Michael Eric Dyson was former presidential campaign surrogate .' + | └───n───> 'Michael Eric Dyson was Georgetown professor .' + └───n───> SUB/ATTRIBUTION (NULL, SubordinationPostAttributionExtractor2) + ├────────s────────> 'This is what former presidential campaign surrogate and Georgetown professor is both critical and sympathetic of Obama 's leadership in race relations , indicating .' + └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, AdjectivalAdverbialMiddleFinalExtractor) + ├───s───> 'This was especially .' + └───n───> 'Obama 's speeches and action on racial disparity and justice have been somewhat reactive and reluctant when in the later part of his second term , racial violence demanded immediate presidential action and conversation .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# Former presidential campaign surrogate and Georgetown professor, Michael Eric Dyson, is both critical and sympathetic of President Obama's leadership in race relations, indicating that Obama's speeches and action on racial disparity and justice have been somewhat reactive and reluctant when, especially in the later part of his second term, racial violence demanded immediate presidential action and conversation. + +79df59ea40604eb4a09757a2618299e2 0 Obama 's speeches and action on racial disparity and justice have been somewhat reactive and reluctant when in the later part of his second term , racial violence demanded immediate presidential action and conversation . + S:UNKNOWN_SUBORDINATION This was especially . + S:ATTRIBUTION This is what former presidential campaign surrogate and Georgetown professor is both critical and sympathetic of Obama 's leadership in race relations , indicating . + L:ELABORATION 8fe4d2529efe427a9e04314e6ccb155a + L:ELABORATION d9bc7e7157ca4ede9ad9152b839d2a9c + L:ELABORATION 439235684e37472595194cd437b4b5fa + +8fe4d2529efe427a9e04314e6ccb155a 1 Michael Eric Dyson was former presidential campaign surrogate . + L:LIST d9bc7e7157ca4ede9ad9152b839d2a9c + +d9bc7e7157ca4ede9ad9152b839d2a9c 1 Michael Eric Dyson was Georgetown professor . + L:LIST 8fe4d2529efe427a9e04314e6ccb155a + +439235684e37472595194cd437b4b5fa 1 Obama was President . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 450/527 # + +'According to the Gallup Organization, Obama began his presidency with a 68% approval rating before gradually declining for the rest of the year, and eventually bottoming out at 41% in August 2010, a trend similar to Ronald Reagan's and Bill Clinton's first years in office.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) + ├──────────────────s──────────────────> 'This was with a 68 % approval rating .' + └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + ├─────────────s─────────────> 'This was before gradually declining for the rest of the year , and eventually bottoming out .' + └───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) + ├───s───> CO/UNKNOWN_COORDINATION (NULL, CoordinationExtractor) + | ├───n───> 'This was at 41 % in August 2010 .' + | ├───n───> 'A trend similar to Ronald Reagan 's .' + | └───n───> 'Bill Clinton 's first years in office .' + └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalInitialExtractor) + ├───s───> 'This was according to the Gallup Organization .' + └───n───> 'Obama began his presidency .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# According to the Gallup Organization, Obama began his presidency with a 68% approval rating before gradually declining for the rest of the year, and eventually bottoming out at 41% in August 2010, a trend similar to Ronald Reagan's and Bill Clinton's first years in office. + +0e321c9c21644b3e915a467f177649a2 0 Obama began his presidency . + S:UNKNOWN_SUBORDINATION This was according to the Gallup Organization . + S:UNKNOWN_SUBORDINATION This was before gradually declining for the rest of the year , and eventually bottoming out . + S:TEMPORAL This was with a 68 % approval rating . + L:TEMPORAL a5d09204421147ae866a97e0c11f2735 + L:TEMPORAL d0f519b7c5904630bba6e9824b02666f + L:TEMPORAL e8bb81b1464b4923bd76a8c7f13e8e74 + +a5d09204421147ae866a97e0c11f2735 1 This was at 41 % in August 2010 . + +d0f519b7c5904630bba6e9824b02666f 1 A trend similar to Ronald Reagan 's . + +e8bb81b1464b4923bd76a8c7f13e8e74 1 Bill Clinton 's first years in office . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 451/527 # + +'He experienced a small poll bounce shortly after the death of Osama bin Laden on May 2, 2011.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/UNKNOWN_SUBORDINATION ('', SubordinationPostExtractor) + ├───n───> 'He experienced .' + └───s───> 'A small poll bounce shortly after the death of Osama bin Laden on May 2 , 2011 .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# He experienced a small poll bounce shortly after the death of Osama bin Laden on May 2, 2011. + +b8ce366aede641419dffc3aff8d18392 0 He experienced . + L:UNKNOWN_SUBORDINATION 8ca1dd5130414556912c48fe487157d8 + +8ca1dd5130414556912c48fe487157d8 1 A small poll bounce shortly after the death of Osama bin Laden on May 2 , 2011 . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 452/527 # + +'This bounce lasted until around June 2011, when his approval numbers dropped back to where they were previously.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/BACKGROUND ('when', SubordinationPostExtractor) + ├───n───> 'This bounce lasted until around June 2011 .' + └───s───> 'His approval numbers dropped back to where they were previously .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# This bounce lasted until around June 2011, when his approval numbers dropped back to where they were previously. + +c51c3a91fc6b483c9f030253b157a689 0 This bounce lasted until around June 2011 . + L:BACKGROUND 88ff9d94f65d40f79e592de2137a350f + +88ff9d94f65d40f79e592de2137a350f 1 His approval numbers dropped back to where they were previously . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 453/527 # + +'His approval ratings rebounded around the same time as his reelection in 2012, with polls showing an average job approval of 52% shortly after his second inauguration.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) + ├─────────────s─────────────> 'This was as his reelection in 2012 .' + └───n───> SUB/IDENTIFYING_DEFINITION ('', RestrictiveParticipialExtractor) + ├───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalMiddleFinalExtractor) + | ├───s───> 'This was with polls .' + | └───n───> 'His approval ratings rebounded around the same time .' + └────────s────────> 'Polls were showing an average job approval of 52 % shortly after his second inauguration .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# His approval ratings rebounded around the same time as his reelection in 2012, with polls showing an average job approval of 52% shortly after his second inauguration. + +5880de24c3494850a431c888c0702ee8 0 His approval ratings rebounded around the same time . + S:UNKNOWN_SUBORDINATION This was with polls . + S:TEMPORAL This was as his reelection in 2012 . + L:IDENTIFYING_DEFINITION e853362d853149ba92cd1b02c31952b4 + +e853362d853149ba92cd1b02c31952b4 1 Polls were showing an average job approval of 52 % shortly after his second inauguration . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 454/527 # + +'Despite approval ratings dropping to 39% in late-2013 due to the ACA roll-out, they climbed to 50% in January 2015 according to Gallup.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + ├──────────────────s──────────────────> 'This was according to Gallup .' + └───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) + ├─────────────s─────────────> 'This was in January 2015 .' + └───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + ├───s───> SUB/IDENTIFYING_DEFINITION ('', RestrictiveParticipialExtractor) + | ├───n───> 'This was despite approval ratings .' + | └───s───> 'Approval ratings were dropping to 39 % in late-2013 due to the ACA roll-out .' + └────────n────────> 'They climbed to 50 % .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# Despite approval ratings dropping to 39% in late-2013 due to the ACA roll-out, they climbed to 50% in January 2015 according to Gallup. + +a844719d79654df0a97d3a63b8ff0dd8 0 They climbed to 50 % . + S:TEMPORAL This was in January 2015 . + S:UNKNOWN_SUBORDINATION This was according to Gallup . + L:TEMPORAL 9dcdde69e23346be80133679d2665cc5 + +9dcdde69e23346be80133679d2665cc5 1 This was despite approval ratings . + L:IDENTIFYING_DEFINITION 4628b6509d1e41a09335765de923e1d7 + +4628b6509d1e41a09335765de923e1d7 2 Approval ratings were dropping to 39 % in late-2013 due to the ACA roll-out . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 455/527 # + +'Polls showed strong support for Obama in other countries both before and during his presidency.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + ├────────s────────> 'This was for Obama in other countries .' + └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + ├───s───> 'This was both before and during his presidency .' + └───n───> 'Polls showed strong support .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# Polls showed strong support for Obama in other countries both before and during his presidency. + +f835a438bfdc4f6281efd4bd53325f3b 0 Polls showed strong support . + S:UNKNOWN_SUBORDINATION This was both before and during his presidency . + S:UNKNOWN_SUBORDINATION This was for Obama in other countries . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 456/527 # + +'In a February 2009 poll conducted in Western Europe and the U.S. by Harris Interactive for France 24 and the International Herald Tribune, Obama was rated as the most respected world leader, as well as the most powerful.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + ├───s───> SUB/IDENTIFYING_DEFINITION ('', RestrictiveParticipialExtractor) + | ├─────────────n─────────────> 'This was in a February 2009 poll .' + | └───s───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) + | ├───s───> CO/LIST (NULL, PostListNPExtractor) + | | ├───n───> 'This was by Harris Interactive for France 24 .' + | | └───n───> 'This was by Harris Interactive for the International Herald Tribune .' + | └───n───> CO/LIST (NULL, PostListNPExtractor) + | ├───n───> 'A February 2009 poll was conducted in Western Europe .' + | └───n───> 'A February 2009 poll was conducted in the U.S. .' + └──────────────────n──────────────────> 'Obama was rated as the most respected world leader , as well as the most powerful .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# In a February 2009 poll conducted in Western Europe and the U.S. by Harris Interactive for France 24 and the International Herald Tribune, Obama was rated as the most respected world leader, as well as the most powerful. + +9d78ff1af2d945b89225eb6d6a720d4a 0 Obama was rated as the most respected world leader , as well as the most powerful . + L:TEMPORAL 87cac97e175f45c9bef66b6ba5a5ffc2 + +87cac97e175f45c9bef66b6ba5a5ffc2 1 This was in a February 2009 poll . + L:IDENTIFYING_DEFINITION 56425492a0bc4db4b0a920e2e2034a89 + L:IDENTIFYING_DEFINITION e177fd6805ae4ee59c6367b4ea1eb595 + +56425492a0bc4db4b0a920e2e2034a89 2 A February 2009 poll was conducted in Western Europe . + L:LIST e177fd6805ae4ee59c6367b4ea1eb595 + L:TEMPORAL 7122f9d0bdc3495b95eda1129701434d + L:TEMPORAL 3edb474b700f4f1dbfd30780f6f99f42 + +e177fd6805ae4ee59c6367b4ea1eb595 2 A February 2009 poll was conducted in the U.S. . + L:LIST 56425492a0bc4db4b0a920e2e2034a89 + L:TEMPORAL 7122f9d0bdc3495b95eda1129701434d + L:TEMPORAL 3edb474b700f4f1dbfd30780f6f99f42 + +7122f9d0bdc3495b95eda1129701434d 3 This was by Harris Interactive for France 24 . + L:LIST 3edb474b700f4f1dbfd30780f6f99f42 + +3edb474b700f4f1dbfd30780f6f99f42 3 This was by Harris Interactive for the International Herald Tribune . + L:LIST 7122f9d0bdc3495b95eda1129701434d + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 457/527 # + +'In a similar poll conducted by Harris in May 2009, Obama was rated as the most popular world leader, as well as the one figure most people would pin their hopes on for pulling the world out of the economic downturn.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + ├───s───> SUB/IDENTIFYING_DEFINITION ('', RestrictiveParticipialExtractor) + | ├────────n────────> 'This was in a similar poll .' + | └───s───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) + | ├───s───> 'This was in May 2009 .' + | └───n───> 'A similar poll was conducted by Harris .' + └─────────────n─────────────> 'Obama was rated as the most popular world leader , as well as the one figure most people would pin their hopes on for pulling the world out of the economic downturn .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# In a similar poll conducted by Harris in May 2009, Obama was rated as the most popular world leader, as well as the one figure most people would pin their hopes on for pulling the world out of the economic downturn. + +9a6e0f3d7cb046c39d3b895541959e5f 0 Obama was rated as the most popular world leader , as well as the one figure most people would pin their hopes on for pulling the world out of the economic downturn . + L:TEMPORAL 5c02ce891d334f15b8d1d4590371baed + +5c02ce891d334f15b8d1d4590371baed 1 This was in a similar poll . + L:IDENTIFYING_DEFINITION aae45a1808224d8f97b02300315fbcea + +aae45a1808224d8f97b02300315fbcea 2 A similar poll was conducted by Harris . + S:TEMPORAL This was in May 2009 . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 458/527 # + +'Prime Minister David Cameron of the United Kingdom, President Barack Obama, Chancellor Angela Merkel of Germany, José Manuel Barroso, President of the European Commission, President François Hollande of France and others react emotionally while watching the overtime shootout of the Chelsea vs. Bayern Munich Champions League final, in the Laurel Cabin conference room during the G8 Summit at Camp David, Maryland, May 19, 2012.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> 'Prime Minister David Cameron of the United Kingdom , President Barack Obama , Chancellor Angela Merkel of Germany , José Manuel Barroso , President of the European Commission , President François Hollande of France and others react emotionally while watching the overtime shootout of the Chelsea vs. Bayern Munich Champions League final , in the Laurel Cabin conference room during the G8 Summit at Camp David , Maryland , May 19 , 2012 .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# Prime Minister David Cameron of the United Kingdom, President Barack Obama, Chancellor Angela Merkel of Germany, José Manuel Barroso, President of the European Commission, President François Hollande of France and others react emotionally while watching the overtime shootout of the Chelsea vs. Bayern Munich Champions League final, in the Laurel Cabin conference room during the G8 Summit at Camp David, Maryland, May 19, 2012. + +6474112f4d7f4aaf9f21b5a27b2b279d 0 Prime Minister David Cameron of the United Kingdom , President Barack Obama , Chancellor Angela Merkel of Germany , José Manuel Barroso , President of the European Commission , President François Hollande of France and others react emotionally while watching the overtime shootout of the Chelsea vs. Bayern Munich Champions League final , in the Laurel Cabin conference room during the G8 Summit at Camp David , Maryland , May 19 , 2012 . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 459/527 # + +'Cameron raises his arms triumphantly as the Chelsea team wins their first Champions League title in the overtime shootout.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/BACKGROUND ('as', SubordinationPostExtractor) + ├───n───> 'Cameron raises his arms triumphantly .' + └───s───> 'The Chelsea team wins their first Champions League title in the overtime shootout .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# Cameron raises his arms triumphantly as the Chelsea team wins their first Champions League title in the overtime shootout. + +b342d96193c64fdb884fa95812118644 0 Cameron raises his arms triumphantly . + L:BACKGROUND bf5ebda6f4ba4630b03d9b3587f66e24 + +bf5ebda6f4ba4630b03d9b3587f66e24 1 The Chelsea team wins their first Champions League title in the overtime shootout . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 460/527 # + +'G8 leaders watching the 2012 UEFA Champions League Final' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> 'G8 leaders watching the 2012 UEFA Champions League Final' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# G8 leaders watching the 2012 UEFA Champions League Final + +9283994cafad4b0da631bef4c4d1a127 0 G8 leaders watching the 2012 UEFA Champions League Final + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 461/527 # + +'Obama won Best Spoken Word Album Grammy Awards for abridged audiobook versions of Dreams from My Father in February 2006 and for The Audacity of Hope in February 2008.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) + ├───s───> 'This was in February 2008 .' + └───n───> 'Obama won Best Spoken Word Album Grammy Awards for abridged audiobook versions of Dreams from My Father in February 2006 and for The Audacity of Hope .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# Obama won Best Spoken Word Album Grammy Awards for abridged audiobook versions of Dreams from My Father in February 2006 and for The Audacity of Hope in February 2008. + +d7e9ab6e11f54f7da0aa6c676544e083 0 Obama won Best Spoken Word Album Grammy Awards for abridged audiobook versions of Dreams from My Father in February 2006 and for The Audacity of Hope . + S:TEMPORAL This was in February 2008 . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 462/527 # + +'His concession speech after the New Hampshire primary was set to music by independent artists as the music video' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> 'His concession speech after the New Hampshire primary was set to music by independent artists as the music video' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# His concession speech after the New Hampshire primary was set to music by independent artists as the music video + +1b062f7273e34870a70ceefbdf318616 0 His concession speech after the New Hampshire primary was set to music by independent artists as the music video + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 463/527 # + +'Yes We Can, which was viewed 10 million times on YouTube in its first month and received a Daytime Emmy Award.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> CO/LIST ('and', SharedNPPostCoordinationExtractor) + ├───n───> 'Yes We Can , which was viewed 10 million times on YouTube in its first month .' + └───n───> 'Yes We Can , which received a Daytime Emmy Award .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# Yes We Can, which was viewed 10 million times on YouTube in its first month and received a Daytime Emmy Award. + +d98c33b05baf48dfaedb3b822ba777fa 0 Yes We Can , which was viewed 10 million times on YouTube in its first month . + L:LIST 6a1d17fd6f42443aaadd131d5e1795a3 + +6a1d17fd6f42443aaadd131d5e1795a3 0 Yes We Can , which received a Daytime Emmy Award . + L:LIST d98c33b05baf48dfaedb3b822ba777fa + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 464/527 # + +'In December 2008 and in 2012, Time magazine named Obama as its Person of the Year.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + ├────────s────────> 'This was as its Person of the Year .' + └───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + ├───s───> 'This was in December 2008 and in 2012 .' + └───n───> 'Time magazine named Obama .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# In December 2008 and in 2012, Time magazine named Obama as its Person of the Year. + +3e61969288824ea7a957b21575574ab3 0 Time magazine named Obama . + S:TEMPORAL This was in December 2008 and in 2012 . + S:UNKNOWN_SUBORDINATION This was as its Person of the Year . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 465/527 # + +'The 2008 awarding was for his historic candidacy and election, which Time described as the steady march of seemingly impossible accomplishments.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/DESCRIBING_DEFINITION ('which', NonRestrictiveRelativeClauseWhoWhichExtractor) + ├───n───> 'The 2008 awarding was for his historic candidacy and election .' + └───s───> 'Time described as the steady march of seemingly impossible accomplishments his historic candidacy and election .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# The 2008 awarding was for his historic candidacy and election, which Time described as the steady march of seemingly impossible accomplishments. + +13d339f3bff242d786fde50af1b6b6cc 0 The 2008 awarding was for his historic candidacy and election . + L:DESCRIBING_DEFINITION fe749e1c62234a9f8132de59ee49496c + +fe749e1c62234a9f8132de59ee49496c 1 Time described as the steady march of seemingly impossible accomplishments his historic candidacy and election . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 466/527 # + +'On May 25, 2011, Obama became the first President of the United States to address both houses of the UK Parliament in Westminster Hall, London.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/ELABORATION (NULL, NonRestrictiveAppositionExtractor) + ├─────────────s─────────────> 'Westminster Hall was London .' + └───n───> SUB/PURPOSE (NULL, PurposePostExtractor) + ├───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + | ├───s───> 'This was on May 25 , 2011 .' + | └───n───> 'Obama became the first President of the United States .' + └────────s────────> 'This was to address both houses of the UK Parliament in Westminster Hall .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# On May 25, 2011, Obama became the first President of the United States to address both houses of the UK Parliament in Westminster Hall, London. + +ee8250a858f24a03b8327d137aff68ef 0 Obama became the first President of the United States . + S:TEMPORAL This was on May 25 , 2011 . + S:PURPOSE This was to address both houses of the UK Parliament in Westminster Hall . + L:ELABORATION 81386678fea54159aa1a809b12324179 + +81386678fea54159aa1a809b12324179 1 Westminster Hall was London . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 467/527 # + +'This was only the fifth occurrence since the start of the 20th century of a head of state being extended this invitation, following Charles de Gaulle in 1960, Nelson Mandela in 1996, Queen Elizabeth II in 2002 and Pope Benedict XVI in 2010.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) + ├──────────────────s──────────────────> 'Elizabeth II was Queen .' + └───n───> SUB/IDENTIFYING_DEFINITION ('', RestrictiveParticipialExtractor) + ├─────────────n─────────────> 'This was only the fifth occurrence since the start of the 20th century of a head of state .' + └───s───> SUB/TEMPORAL (NULL, PrepositionalMiddleFinalExtractor) + ├───s───> CO/LIST (NULL, PostListNPExtractor) + | ├───n───> 'This was following Charles de Gaulle in 1960 .' + | ├───n───> 'This was following Nelson Mandela in 1996 .' + | ├───n───> 'This was following Elizabeth II in 2002 .' + | └───n───> 'This was following Pope Benedict XVI in 2010 .' + └────────n────────> 'State was being extended this invitation .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# This was only the fifth occurrence since the start of the 20th century of a head of state being extended this invitation, following Charles de Gaulle in 1960, Nelson Mandela in 1996, Queen Elizabeth II in 2002 and Pope Benedict XVI in 2010. + +6f92c7b390ef4ee1aacb216f87855039 0 This was only the fifth occurrence since the start of the 20th century of a head of state . + L:IDENTIFYING_DEFINITION 97dbaf50105c4b0bae59089bc88905bf + L:ELABORATION 3d42f6c77c4e4a588b2a297720ffcc99 + +97dbaf50105c4b0bae59089bc88905bf 1 State was being extended this invitation . + L:TEMPORAL b693ad0c33dd47dd946b246db716db2c + L:TEMPORAL 68a0e6f1e0d448d5ae609d5ed7d160da + L:TEMPORAL 2f4ee47a809b4ecca769a58e602e560e + L:TEMPORAL 2036b402561248c7ad163decb31a3bbd + +b693ad0c33dd47dd946b246db716db2c 2 This was following Charles de Gaulle in 1960 . + L:LIST 68a0e6f1e0d448d5ae609d5ed7d160da + L:LIST 2f4ee47a809b4ecca769a58e602e560e + L:LIST 2036b402561248c7ad163decb31a3bbd + +68a0e6f1e0d448d5ae609d5ed7d160da 2 This was following Nelson Mandela in 1996 . + L:LIST 2f4ee47a809b4ecca769a58e602e560e + L:LIST 2036b402561248c7ad163decb31a3bbd + L:LIST b693ad0c33dd47dd946b246db716db2c + +2f4ee47a809b4ecca769a58e602e560e 2 This was following Elizabeth II in 2002 . + L:LIST 2036b402561248c7ad163decb31a3bbd + L:LIST b693ad0c33dd47dd946b246db716db2c + L:LIST 68a0e6f1e0d448d5ae609d5ed7d160da + +2036b402561248c7ad163decb31a3bbd 2 This was following Pope Benedict XVI in 2010 . + L:LIST b693ad0c33dd47dd946b246db716db2c + L:LIST 68a0e6f1e0d448d5ae609d5ed7d160da + L:LIST 2f4ee47a809b4ecca769a58e602e560e + +3d42f6c77c4e4a588b2a297720ffcc99 1 Elizabeth II was Queen . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 468/527 # + +'On October 9, 2009, the Norwegian Nobel Committee announced that Obama had won the 2009 Nobel Peace Prize for his extraordinary efforts to strengthen international diplomacy and cooperation between peoples.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/ATTRIBUTION (NULL, SubordinationPostAttributionExtractor2) + ├─────────────s─────────────> 'This was what the Norwegian Nobel Committee announced on October 9 , 2009 .' + └───n───> SUB/PURPOSE (NULL, PurposePostExtractor) + ├───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + | ├───s───> 'This was for his extraordinary efforts .' + | └───n───> 'Obama had won the 2009 Nobel Peace Prize .' + └────────s────────> 'This was to strengthen international diplomacy and cooperation between peoples .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# On October 9, 2009, the Norwegian Nobel Committee announced that Obama had won the 2009 Nobel Peace Prize for his extraordinary efforts to strengthen international diplomacy and cooperation between peoples. + +453cb84b8f98466986c5221dbd6eb747 0 Obama had won the 2009 Nobel Peace Prize . + S:UNKNOWN_SUBORDINATION This was for his extraordinary efforts . + S:PURPOSE This was to strengthen international diplomacy and cooperation between peoples . + S:ATTRIBUTION This was what the Norwegian Nobel Committee announced on October 9 , 2009 . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 469/527 # + +'Obama accepted this award in Oslo, Norway on December 10, 2009, with deep gratitude and great humility.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) + ├─────────────s─────────────> 'This was in Oslo , Norway on December 10 , 2009 .' + └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + ├───s───> CO/LIST (NULL, PostListNPExtractor) + | ├───n───> 'This was with deep gratitude .' + | └───n───> 'This was with great humility .' + └────────n────────> 'Obama accepted this award .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# Obama accepted this award in Oslo, Norway on December 10, 2009, with deep gratitude and great humility. + +c984486729a54f1b80c35c4150895ef0 0 Obama accepted this award . + S:TEMPORAL This was in Oslo , Norway on December 10 , 2009 . + L:UNKNOWN_SUBORDINATION 70898b062a4348388b963ddfd9cf78af + L:UNKNOWN_SUBORDINATION 33d9b41ba3c246839a6d5bca77edb38d + +70898b062a4348388b963ddfd9cf78af 1 This was with deep gratitude . + L:LIST 33d9b41ba3c246839a6d5bca77edb38d + +33d9b41ba3c246839a6d5bca77edb38d 1 This was with great humility . + L:LIST 70898b062a4348388b963ddfd9cf78af + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 470/527 # + +'The award drew a mixture of praise and criticism from world leaders and media figures.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + ├───s───> 'This was from world leaders and media figures .' + └───n───> 'The award drew a mixture of praise and criticism .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# The award drew a mixture of praise and criticism from world leaders and media figures. + +16304123be15459b881f24cfe41d1175 0 The award drew a mixture of praise and criticism . + S:UNKNOWN_SUBORDINATION This was from world leaders and media figures . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 471/527 # + +'Obama's peace prize was called a stunning surprise by The New York Times.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + ├───s───> 'This was by The New York Times .' + └───n───> 'Obama 's peace prize was called a stunning surprise .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# Obama's peace prize was called a stunning surprise by The New York Times. + +cb04491fc2c640909e43d64a89c6d167 0 Obama 's peace prize was called a stunning surprise . + S:UNKNOWN_SUBORDINATION This was by The New York Times . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 472/527 # + +'Obama is the fourth U.S. president to be awarded the Nobel Peace Prize and the third to become a Nobel laureate while in office.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> CO/LIST (NULL, PostListNPExtractor) + ├───n───> 'Obama is the fourth U.S. president to be awarded the Nobel Peace Prize to become a Nobel laureate while in office .' + └───n───> 'Obama is the fourth U.S. president to be awarded the third to become a Nobel laureate while in office .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# Obama is the fourth U.S. president to be awarded the Nobel Peace Prize and the third to become a Nobel laureate while in office. + +3075755133cc41fbabd4688b91836f1d 0 Obama is the fourth U.S. president to be awarded the Nobel Peace Prize to become a Nobel laureate while in office . + L:LIST 18a1d6009e374fccb295e2ceabdfdc89 + +18a1d6009e374fccb295e2ceabdfdc89 0 Obama is the fourth U.S. president to be awarded the third to become a Nobel laureate while in office . + L:LIST 3075755133cc41fbabd4688b91836f1d + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 473/527 # + +'Obama's Nobel Prize has been viewed skeptically in subsequent years, especially after the director of the Nobel Institute, Geir Lundestad, said Obama's Peace Prize did not have the desired effect.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/ELABORATION (NULL, NonRestrictiveAppositionExtractor) + ├─────────────s─────────────> 'Geir Lundestad was the Nobel Institute .' + └───n───> SUB/TEMPORAL_BEFORE ('especially after', SubordinationPostExtractor) + ├────────n────────> 'Obama 's Nobel Prize has been viewed skeptically in subsequent years .' + └───s───> SUB/ATTRIBUTION (NULL, SubordinationPostAttributionExtractor) + ├───s───> 'This was what the director of the Nobel Institute said .' + └───n───> 'Obama 's Peace Prize did not have the desired effect .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# Obama's Nobel Prize has been viewed skeptically in subsequent years, especially after the director of the Nobel Institute, Geir Lundestad, said Obama's Peace Prize did not have the desired effect. + +b74465b465944ffab6d2afd55b007b52 0 Obama 's Nobel Prize has been viewed skeptically in subsequent years . + L:TEMPORAL_BEFORE d7b532413de94b4c8498d97ba696c937 + L:ELABORATION 43d4a18c25e04314992874e8c98df332 + +d7b532413de94b4c8498d97ba696c937 1 Obama 's Peace Prize did not have the desired effect . + S:ATTRIBUTION This was what the director of the Nobel Institute said . + +43d4a18c25e04314992874e8c98df332 1 Geir Lundestad was the Nobel Institute . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 474/527 # + +'Obama, with Joe Biden and Donald Trump at the latter's inauguration on January 20, 2017' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) + ├───s───> 'This is at the latter 's inauguration on January 20 , 2017 .' + └───n───> 'Obama , with Joe Biden and Donald Trump .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# Obama, with Joe Biden and Donald Trump at the latter's inauguration on January 20, 2017 + +a70c54b94e7b4604a6e30f407e06bd5f 0 Obama , with Joe Biden and Donald Trump . + S:TEMPORAL This is at the latter 's inauguration on January 20 , 2017 . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 475/527 # + +'Barack Obama's presidency ended at noon on January 20, 2017, immediately following the inauguration of his Republican successor, Donald Trump.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/ELABORATION (NULL, NonRestrictiveAppositionExtractor) + ├───s───> 'Donald Trump was his Republican successor .' + └───n───> 'Barack Obama 's presidency ended at noon on January 20 , 2017 , immediately following the inauguration of his Republican successor .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# Barack Obama's presidency ended at noon on January 20, 2017, immediately following the inauguration of his Republican successor, Donald Trump. + +07e5c43751c141bba485200152a7ca04 0 Barack Obama 's presidency ended at noon on January 20 , 2017 , immediately following the inauguration of his Republican successor . + L:ELABORATION 1bbe8f6df4a645c1b199fec65f4652aa + +1bbe8f6df4a645c1b199fec65f4652aa 1 Donald Trump was his Republican successor . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 476/527 # + +'After the inauguration, Obama lifted off on Executive One, circled the White House, and flew to Joint Base Andrews.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> CO/UNKNOWN_COORDINATION (NULL, SharedNPPostCoordinationExtractor) + ├───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalInitialExtractor) + | ├───s───> 'This was after the inauguration .' + | └───n───> 'Obama lifted off on Executive One .' + ├───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalInitialExtractor) + | ├───s───> 'This was after the inauguration .' + | └───n───> 'Obama circled the White House .' + └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalInitialExtractor) + ├───s───> 'This was after the inauguration .' + └───n───> 'Obama flew to Joint Base Andrews .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# After the inauguration, Obama lifted off on Executive One, circled the White House, and flew to Joint Base Andrews. + +5c30f8bebcd84f4197c664b6427dd9a6 0 Obama lifted off on Executive One . + S:UNKNOWN_SUBORDINATION This was after the inauguration . + +6f66770040a5458b9e7b5b6337d49d0b 0 Obama circled the White House . + S:UNKNOWN_SUBORDINATION This was after the inauguration . + +145c6906a8e5466191c0bce5e4000275 0 Obama flew to Joint Base Andrews . + S:UNKNOWN_SUBORDINATION This was after the inauguration . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 477/527 # + +'The family currently rents a house in Kalorama, Washington, D.C.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/ELABORATION (NULL, NonRestrictiveAppositionExtractor) + ├───s───> 'Kalorama is Washington , D.C. .' + └───n───> 'The family currently rents a house in Kalorama .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# The family currently rents a house in Kalorama, Washington, D.C. + +9cb1dba5423f4481b878d70af2bf1d73 0 The family currently rents a house in Kalorama . + L:ELABORATION b0ea1d04bc4b4b8f8cb8b22233553a85 + +b0ea1d04bc4b4b8f8cb8b22233553a85 1 Kalorama is Washington , D.C. . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 478/527 # + +'A 2018 survey of historians by the American Political Science Association ranked Obama the 8th-greatest American President.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> 'A 2018 survey of historians by the American Political Science Association ranked Obama the 8th-greatest American President .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# A 2018 survey of historians by the American Political Science Association ranked Obama the 8th-greatest American President. + +64e66ce56ce649ee975536c979504fed 0 A 2018 survey of historians by the American Political Science Association ranked Obama the 8th-greatest American President . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 479/527 # + +'Obama gained 10 spots from the same survey in 2015 from the Brookings Institute that ranked Obama the 18th-greatest American President.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/IDENTIFYING_DEFINITION ('that', RestrictiveRelativeClauseWhoWhichExtractor) + ├───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) + | ├────────s────────> 'This was from the same survey in 2015 .' + | └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + | ├───s───> 'This was from the Brookings Institute .' + | └───n───> 'Obama gained 10 spots .' + └─────────────s─────────────> 'The Brookings Institute ranked Obama the 18th-greatest American President .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# Obama gained 10 spots from the same survey in 2015 from the Brookings Institute that ranked Obama the 18th-greatest American President. + +59cdb477a34245338e9dff542a4441c4 0 Obama gained 10 spots . + S:UNKNOWN_SUBORDINATION This was from the Brookings Institute . + S:TEMPORAL This was from the same survey in 2015 . + L:IDENTIFYING_DEFINITION d9e0d29670fd4ae79ffe25cb337d8094 + +d9e0d29670fd4ae79ffe25cb337d8094 1 The Brookings Institute ranked Obama the 18th-greatest American President . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 480/527 # + +'On March 2, 2017, the John F. Kennedy Presidential Library and Museum awarded the annual Profile in Courage Award to Obama for his enduring commitment to democratic ideals and elevating the standard of political courage.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> CO/UNKNOWN_COORDINATION (NULL, SharedNPPostParticipalExtractor) + ├───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + | ├─────────────s─────────────> 'This was in Courage Award .' + | └───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + | ├────────s────────> 'This was on March 2 , 2017 .' + | └───n───> CO/LIST (NULL, PreListNPExtractor) + | ├───n───> 'The John F. Kennedy Presidential Library awarded the annual Profile .' + | └───n───> 'Museum awarded the annual Profile .' + └───n───> CO/LIST ('and', SharedNPPostCoordinationExtractor) + ├───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + | ├────────s────────> 'This was on March 2 , 2017 .' + | └───n───> CO/LIST (NULL, PreListNPExtractor) + | ├───n───> 'The John F. Kennedy Presidential Library were obama for his enduring commitment to democratic ideals .' + | └───n───> 'Museum were obama for his enduring commitment to democratic ideals .' + └───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + ├────────s────────> 'This was on March 2 , 2017 .' + └───n───> CO/LIST (NULL, PreListNPExtractor) + ├───n───> 'The John F. Kennedy Presidential Library were elevating the standard of political courage .' + └───n───> 'Museum were elevating the standard of political courage .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# On March 2, 2017, the John F. Kennedy Presidential Library and Museum awarded the annual Profile in Courage Award to Obama for his enduring commitment to democratic ideals and elevating the standard of political courage. + +cd6e1265fb3b45889279489def1681f0 0 The John F. Kennedy Presidential Library awarded the annual Profile . + S:TEMPORAL This was on March 2 , 2017 . + S:UNKNOWN_SUBORDINATION This was in Courage Award . + L:LIST 9097df1ea84544f2971d7f7be4c5fd0b + +9097df1ea84544f2971d7f7be4c5fd0b 0 Museum awarded the annual Profile . + S:TEMPORAL This was on March 2 , 2017 . + S:UNKNOWN_SUBORDINATION This was in Courage Award . + L:LIST cd6e1265fb3b45889279489def1681f0 + +53d0b643fe0d482fbc2649a55c49dac1 0 The John F. Kennedy Presidential Library were obama for his enduring commitment to democratic ideals . + S:TEMPORAL This was on March 2 , 2017 . + L:LIST 631da844dd9949b38f874b247a6092d6 + L:LIST 893cbc2ea824488fb1531f2f9fa48466 + L:LIST 20a6ec26f50a41f19e417521d70eb2b2 + +631da844dd9949b38f874b247a6092d6 0 Museum were obama for his enduring commitment to democratic ideals . + S:TEMPORAL This was on March 2 , 2017 . + L:LIST 53d0b643fe0d482fbc2649a55c49dac1 + L:LIST 893cbc2ea824488fb1531f2f9fa48466 + L:LIST 20a6ec26f50a41f19e417521d70eb2b2 + +893cbc2ea824488fb1531f2f9fa48466 0 The John F. Kennedy Presidential Library were elevating the standard of political courage . + S:TEMPORAL This was on March 2 , 2017 . + L:LIST 20a6ec26f50a41f19e417521d70eb2b2 + L:LIST 53d0b643fe0d482fbc2649a55c49dac1 + L:LIST 631da844dd9949b38f874b247a6092d6 + +20a6ec26f50a41f19e417521d70eb2b2 0 Museum were elevating the standard of political courage . + S:TEMPORAL This was on March 2 , 2017 . + L:LIST 893cbc2ea824488fb1531f2f9fa48466 + L:LIST 53d0b643fe0d482fbc2649a55c49dac1 + L:LIST 631da844dd9949b38f874b247a6092d6 + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 481/527 # + +'On April 24, 2017, in his first public appearance out of office, Obama appeared at a seminar at the University of Chicago aimed at the engagement with a new generation as well as an appeal for their participation in politics.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + ├───s───> SUB/IDENTIFYING_DEFINITION ('', RestrictiveParticipialExtractor) + | ├───n───> 'This was at the University of Chicago .' + | └───s───> 'Chicago was aimed at the engagement with a new generation as well as an appeal for their participation in politics .' + └───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + ├───s───> 'This was on April 24 , 2017 , in his first public appearance out of office .' + └───n───> 'Obama appeared at a seminar .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# On April 24, 2017, in his first public appearance out of office, Obama appeared at a seminar at the University of Chicago aimed at the engagement with a new generation as well as an appeal for their participation in politics. + +bc62663e57a84cbc91aadf462177af98 0 Obama appeared at a seminar . + S:TEMPORAL This was on April 24 , 2017 , in his first public appearance out of office . + L:UNKNOWN_SUBORDINATION 8b4fc7990bb2459c9871c430a76fd3a4 + +8b4fc7990bb2459c9871c430a76fd3a4 1 This was at the University of Chicago . + L:IDENTIFYING_DEFINITION 9e38f49fec804dd8a469a6a2009dea76 + +9e38f49fec804dd8a469a6a2009dea76 2 Chicago was aimed at the engagement with a new generation as well as an appeal for their participation in politics . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 482/527 # + +'On May 4, 2017, three days ahead of the French presidential election, Obama publicly endorsed Emmanuel Macron:' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + ├───s───> 'This was on May 4 , 2017 , three days ahead of the French presidential election .' + └───n───> 'Obama publicly endorsed Emmanuel Macron : .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# On May 4, 2017, three days ahead of the French presidential election, Obama publicly endorsed Emmanuel Macron: + +5c187ba0324344e88c1788c138b934f9 0 Obama publicly endorsed Emmanuel Macron : . + S:TEMPORAL This was on May 4 , 2017 , three days ahead of the French presidential election . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 483/527 # + +'He appeals to people's hopes and not their fears, and I enjoyed speaking to Emmanuel recently to hear about his independent movement and his vision for the future of France.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> CO/LIST (', and', CoordinationExtractor) + ├────────n────────> CO/LIST ('and', SharedNPPostCoordinationExtractor) + | ├───n───> 'He appeals to people 's hopes .' + | └───n───> 'He not their fears .' + └───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) + ├────────s────────> 'This was for the future of France .' + └───n───> CO/LIST (NULL, PostListNPExtractor) + ├───n───> 'I enjoyed speaking to Emmanuel recently to hear about his independent movement .' + └───n───> 'I enjoyed speaking to Emmanuel recently to hear about his vision .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# He appeals to people's hopes and not their fears, and I enjoyed speaking to Emmanuel recently to hear about his independent movement and his vision for the future of France. + +94d9824a56a948b6bfb9be56749a451b 0 He appeals to people 's hopes . + L:LIST b400ca5f7b1c45368d4a0c7b4d8a2e97 + L:LIST 2c3fa5e789ae4980ad3931b13e58a760 + L:LIST d4acd4ff05074f5299f65d1e0123f0a6 + +b400ca5f7b1c45368d4a0c7b4d8a2e97 0 He not their fears . + L:LIST 94d9824a56a948b6bfb9be56749a451b + L:LIST 2c3fa5e789ae4980ad3931b13e58a760 + L:LIST d4acd4ff05074f5299f65d1e0123f0a6 + +2c3fa5e789ae4980ad3931b13e58a760 0 I enjoyed speaking to Emmanuel recently to hear about his independent movement . + S:SPATIAL This was for the future of France . + L:LIST d4acd4ff05074f5299f65d1e0123f0a6 + L:LIST 94d9824a56a948b6bfb9be56749a451b + L:LIST b400ca5f7b1c45368d4a0c7b4d8a2e97 + +d4acd4ff05074f5299f65d1e0123f0a6 0 I enjoyed speaking to Emmanuel recently to hear about his vision . + S:SPATIAL This was for the future of France . + L:LIST 2c3fa5e789ae4980ad3931b13e58a760 + L:LIST 94d9824a56a948b6bfb9be56749a451b + L:LIST b400ca5f7b1c45368d4a0c7b4d8a2e97 + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 484/527 # + +'Macron went on to win the election.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> 'Macron went on to win the election .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# Macron went on to win the election. + +c791c9ed733845288d91828430a9aa2d 0 Macron went on to win the election . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 485/527 # + +'While in Berlin on May 25, 2017, Obama made a joint public appearance with Chancellor Angela Merkel where he stressed inclusion and for leaders to question themselves, Obama having been formally invited to Berlin while still in office as part of an effort to boost Merkel's re-election campaign.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) + ├───s───> 'Angela Merkel was a joint public appearance with Chancellor .' + └───n───> 'While in Berlin on May 25 , 2017 , Obama made Angela Merkel where he stressed inclusion and for leaders to question themselves , Obama having been formally invited to Berlin while still in office as part of an effort to boost Merkel 's re-election campaign .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# While in Berlin on May 25, 2017, Obama made a joint public appearance with Chancellor Angela Merkel where he stressed inclusion and for leaders to question themselves, Obama having been formally invited to Berlin while still in office as part of an effort to boost Merkel's re-election campaign. + +fd72adf9a95c4f50a8a34ed3038347ba 0 While in Berlin on May 25 , 2017 , Obama made Angela Merkel where he stressed inclusion and for leaders to question themselves , Obama having been formally invited to Berlin while still in office as part of an effort to boost Merkel 's re-election campaign . + L:ELABORATION 54c693397bbe42fa934c20d4a9f83e3e + +54c693397bbe42fa934c20d4a9f83e3e 1 Angela Merkel was a joint public appearance with Chancellor . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 486/527 # + +'Obama traveled to Kensington Palace in England and met with Prince Harry on May 27, 2017; Obama tweeted afterward that the two discussed their foundations and offering condolences in the wake of the Manchester Arena bombing that occurred five days prior.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> CO/UNKNOWN_COORDINATION (';', CoordinationExtractor) + ├─────────────n─────────────> CO/LIST ('and', SharedNPPostCoordinationExtractor) + | ├───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) + | | ├───s───> 'This was in England .' + | | └───n───> 'Obama traveled to Kensington Palace .' + | └───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) + | ├───s───> 'This was on May 27 , 2017 .' + | └───n───> 'Obama met with Prince Harry .' + └───n───> SUB/UNKNOWN_SUBORDINATION ('that', SubordinationPostExtractor) + ├──────────────────n──────────────────> 'Obama tweeted afterward .' + └───s───> SUB/IDENTIFYING_DEFINITION ('that', RestrictiveRelativeClauseWhoWhichExtractor) + ├───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) + | ├────────s────────> 'This was in the wake of the Manchester Arena bombing .' + | └───n───> CO/LIST (NULL, PostListNPExtractor) + | ├───n───> 'The two discussed their foundations .' + | └───n───> 'The two discussed offering condolences .' + └─────────────s─────────────> 'The wake of the Manchester Arena bombing occurred five days prior .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# Obama traveled to Kensington Palace in England and met with Prince Harry on May 27, 2017; Obama tweeted afterward that the two discussed their foundations and offering condolences in the wake of the Manchester Arena bombing that occurred five days prior. + +8dea92eab855471785cf69c7f552a055 0 Obama traveled to Kensington Palace . + S:SPATIAL This was in England . + L:LIST 1189a9150c5a43d7aca5d16a2171df57 + +1189a9150c5a43d7aca5d16a2171df57 0 Obama met with Prince Harry . + S:TEMPORAL This was on May 27 , 2017 . + L:LIST 8dea92eab855471785cf69c7f552a055 + +60c2f359e0cf4398a70e89a71cf5bbd6 0 Obama tweeted afterward . + L:UNKNOWN_SUBORDINATION 8703401d2f3c48ff8f173802dd9891aa + L:UNKNOWN_SUBORDINATION 32dda2098b754845a4feaca310a5c35a + +8703401d2f3c48ff8f173802dd9891aa 1 The two discussed their foundations . + S:SPATIAL This was in the wake of the Manchester Arena bombing . + L:LIST 32dda2098b754845a4feaca310a5c35a + L:IDENTIFYING_DEFINITION b8c620619fc24ef2924e2196c8d59628 + +32dda2098b754845a4feaca310a5c35a 1 The two discussed offering condolences . + S:SPATIAL This was in the wake of the Manchester Arena bombing . + L:LIST 8703401d2f3c48ff8f173802dd9891aa + L:IDENTIFYING_DEFINITION b8c620619fc24ef2924e2196c8d59628 + +b8c620619fc24ef2924e2196c8d59628 2 The wake of the Manchester Arena bombing occurred five days prior . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 487/527 # + +'On June 1, 2017, after President Trump announced his withdrawal of the United States from the Paris Agreement, Obama released a statement disagreeing with the choice:' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) + ├──────────────────s──────────────────> 'Trump was President .' + └───n───> SUB/TEMPORAL_BEFORE ('after', SubordinationPreExtractor) + ├────────s────────> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) + | ├───s───> 'This was from the Paris Agreement .' + | └───n───> 'Trump announced his withdrawal of the United States .' + └───n───> SUB/IDENTIFYING_DEFINITION ('', RestrictiveParticipialExtractor) + ├───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + | ├───s───> 'This was on June 1 , 2017 .' + | └───n───> 'Obama released a statement : .' + └────────s────────> 'A statement was disagreeing with the choice .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# On June 1, 2017, after President Trump announced his withdrawal of the United States from the Paris Agreement, Obama released a statement disagreeing with the choice: + +e1c45c6047ec4ee6b225834f3abb645e 0 Obama released a statement : . + S:TEMPORAL This was on June 1 , 2017 . + L:IDENTIFYING_DEFINITION db0e72f523ea41d8a2d70a5c72eb179b + L:TEMPORAL_BEFORE 7297b7a83692402492ddbf6bcc0f4281 + L:ELABORATION 8ea0b1bfff7846c4bf7d6b933cc2f73f + +db0e72f523ea41d8a2d70a5c72eb179b 1 A statement was disagreeing with the choice . + +7297b7a83692402492ddbf6bcc0f4281 1 Trump announced his withdrawal of the United States . + S:SPATIAL This was from the Paris Agreement . + +8ea0b1bfff7846c4bf7d6b933cc2f73f 1 Trump was President . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 488/527 # + +'But even in the absence of American leadership; even as this administration joins a small handful of nations that reject the future; I'm confident that our states, cities, and businesses will step up and do even more to lead the way, and help protect for future generations the one planet we've got.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/IDENTIFYING_DEFINITION ('that', RestrictiveRelativeClauseWhoWhichExtractor) + ├───n───> SUB/IDENTIFYING_DEFINITION ('', RestrictiveRelativeClauseWithoutRelativePronounExtractor) + | ├───n───> CO/LIST (NULL, PostListNPExtractor) + | | ├───n───> 'But even in the absence of American leadership ; even as this administration joins a small handful of nations ; I 'm confident that our states will step up and do even more to lead the way , and help protect for future generations the one planet .' + | | ├───n───> 'But even in the absence of American leadership ; even as this administration joins a small handful of nations ; I 'm confident that cities will step up and do even more to lead the way , and help protect for future generations the one planet .' + | | └───n───> 'But even in the absence of American leadership ; even as this administration joins a small handful of nations ; I 'm confident that businesses will step up and do even more to lead the way , and help protect for future generations the one planet .' + | └────────s────────> 'We 've got the one planet .' + └─────────────s─────────────> 'Nations reject the future .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# But even in the absence of American leadership; even as this administration joins a small handful of nations that reject the future; I'm confident that our states, cities, and businesses will step up and do even more to lead the way, and help protect for future generations the one planet we've got. + +fb8f7d58025d4b2dbf9d78cded5a24ff 0 But even in the absence of American leadership ; even as this administration joins a small handful of nations ; I 'm confident that our states will step up and do even more to lead the way , and help protect for future generations the one planet . + L:LIST 2c28de83f8d74af6a6e2c4a008b60ab9 + L:LIST 5bc210bbd0364ad28409f7bc905d6e5c + L:IDENTIFYING_DEFINITION fcd47d44544f458ba738fe954a4a7357 + L:IDENTIFYING_DEFINITION 3c1c690083c2419a9e9dd0f0bc843339 + +2c28de83f8d74af6a6e2c4a008b60ab9 0 But even in the absence of American leadership ; even as this administration joins a small handful of nations ; I 'm confident that cities will step up and do even more to lead the way , and help protect for future generations the one planet . + L:LIST 5bc210bbd0364ad28409f7bc905d6e5c + L:LIST fb8f7d58025d4b2dbf9d78cded5a24ff + L:IDENTIFYING_DEFINITION fcd47d44544f458ba738fe954a4a7357 + L:IDENTIFYING_DEFINITION 3c1c690083c2419a9e9dd0f0bc843339 + +5bc210bbd0364ad28409f7bc905d6e5c 0 But even in the absence of American leadership ; even as this administration joins a small handful of nations ; I 'm confident that businesses will step up and do even more to lead the way , and help protect for future generations the one planet . + L:LIST fb8f7d58025d4b2dbf9d78cded5a24ff + L:LIST 2c28de83f8d74af6a6e2c4a008b60ab9 + L:IDENTIFYING_DEFINITION fcd47d44544f458ba738fe954a4a7357 + L:IDENTIFYING_DEFINITION 3c1c690083c2419a9e9dd0f0bc843339 + +fcd47d44544f458ba738fe954a4a7357 1 We 've got the one planet . + +3c1c690083c2419a9e9dd0f0bc843339 1 Nations reject the future . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 489/527 # + +'Obama playing golf with the President of Argentina Mauricio Macri, October 2017' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> 'Obama playing golf with the President of Argentina Mauricio Macri , October 2017' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# Obama playing golf with the President of Argentina Mauricio Macri, October 2017 + +b11840e99c474c3fb3f0d3c0a7009bfb 0 Obama playing golf with the President of Argentina Mauricio Macri , October 2017 + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 490/527 # + +'On June 22, 2017, after Senate Republicans revealed the Better Care Reconciliation Act of 2017, their discussion draft of a health care bill to replace the Affordable Care Act, Obama released a Facebook post calling the bill a massive transfer of wealth from middle-class and poor families to the richest people in America.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/TEMPORAL_BEFORE ('after', SubordinationPreExtractor) + ├───────────────────────s───────────────────────> 'Senate Republicans revealed the Better Care Reconciliation Act of 2017 , their discussion draft of a health care bill to replace the Affordable Care Act .' + └───n───> CO/UNKNOWN_COORDINATION (NULL, SharedNPPostParticipalExtractor) + ├─────────────n─────────────> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + | ├───s───> 'This was on June 22 , 2017 .' + | └───n───> 'Obama released a Facebook post .' + └───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) + ├─────────────s─────────────> 'This was to the richest people in America .' + └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + ├────────s────────> 'This was from middle-class and poor families .' + └───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + ├───s───> 'This was on June 22 , 2017 .' + └───n───> 'Obama was calling the bill a massive transfer of wealth .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# On June 22, 2017, after Senate Republicans revealed the Better Care Reconciliation Act of 2017, their discussion draft of a health care bill to replace the Affordable Care Act, Obama released a Facebook post calling the bill a massive transfer of wealth from middle-class and poor families to the richest people in America. + +7c16e86e6b274f1698423c1a3ee5d3a7 0 Obama released a Facebook post . + S:TEMPORAL This was on June 22 , 2017 . + L:TEMPORAL_BEFORE c04c7df38a65454792bcad023d151966 + +6d0f8a9a278e43659161c8f7d362ab11 0 Obama was calling the bill a massive transfer of wealth . + S:TEMPORAL This was on June 22 , 2017 . + S:UNKNOWN_SUBORDINATION This was from middle-class and poor families . + S:SPATIAL This was to the richest people in America . + L:TEMPORAL_BEFORE c04c7df38a65454792bcad023d151966 + +c04c7df38a65454792bcad023d151966 1 Senate Republicans revealed the Better Care Reconciliation Act of 2017 , their discussion draft of a health care bill to replace the Affordable Care Act . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 491/527 # + +'On September 19, while delivering the keynote address at Goalkeepers, Obama admitted his frustration with Republicans backing a bill that will raise costs, reduce coverage, and roll back protections for older Americans and people with pre-existing conditions.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> CO/UNKNOWN_COORDINATION (NULL, SharedNPPostParticipalExtractor) + ├────────n────────> SUB/ATTRIBUTION (NULL, PreAttributionExtractor) + | ├───n───> 'While delivering the keynote address at Goalkeepers .' + | └───s───> 'This was what Obama admitted his frustration with Republicans on September 19 .' + └───n───> SUB/IDENTIFYING_DEFINITION ('that', RestrictiveRelativeClauseWhoWhichExtractor) + ├───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + | ├───s───> 'This was on September 19 .' + | └───n───> 'While delivering the keynote address at Goalkeepers , Obama was backing a bill .' + └───s───> CO/UNKNOWN_COORDINATION (NULL, SharedNPPostCoordinationExtractor) + ├───n───> 'A bill will raise costs .' + ├───n───> 'A bill will reduce coverage .' + └───n───> 'A bill will roll back protections for older Americans and people with pre-existing conditions .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# On September 19, while delivering the keynote address at Goalkeepers, Obama admitted his frustration with Republicans backing a bill that will raise costs, reduce coverage, and roll back protections for older Americans and people with pre-existing conditions. + +2b5a9dbc9c3641f0919a4a93dbd42989 0 While delivering the keynote address at Goalkeepers . + S:ATTRIBUTION This was what Obama admitted his frustration with Republicans on September 19 . + +dc7d894ca3fb4ccc892cb1d434beef03 0 While delivering the keynote address at Goalkeepers , Obama was backing a bill . + S:TEMPORAL This was on September 19 . + L:IDENTIFYING_DEFINITION 2746b31c9ad0498eae6374805254e0e9 + L:IDENTIFYING_DEFINITION 14b47f14dc05487aac9218ee945020ba + L:IDENTIFYING_DEFINITION d96febbecc2a414aac4d4909ddccf12c + +2746b31c9ad0498eae6374805254e0e9 1 A bill will raise costs . + +14b47f14dc05487aac9218ee945020ba 1 A bill will reduce coverage . + +d96febbecc2a414aac4d4909ddccf12c 1 A bill will roll back protections for older Americans and people with pre-existing conditions . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 492/527 # + +'On September 5, 2017, after Attorney General Jeff Sessions announced the termination of the Deferred Action for Childhood Arrivals (DACA) program, Obama released a Facebook post rebuking the decision.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) + ├──────────────────s──────────────────> 'Jeff Sessions was Attorney General .' + └───n───> SUB/TEMPORAL_BEFORE ('after', SubordinationPreExtractor) + ├────────s────────> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + | ├───s───> 'This was for Childhood Arrivals -LRB- DACA -RRB- program .' + | └───n───> 'Jeff Sessions announced the termination of the Deferred Action .' + └───n───> CO/UNKNOWN_COORDINATION (NULL, SharedNPPostParticipalExtractor) + ├───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + | ├───s───> 'This was on September 5 , 2017 .' + | └───n───> 'Obama released a Facebook post .' + └───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + ├───s───> 'This was on September 5 , 2017 .' + └───n───> 'Obama was rebuking the decision .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# On September 5, 2017, after Attorney General Jeff Sessions announced the termination of the Deferred Action for Childhood Arrivals (DACA) program, Obama released a Facebook post rebuking the decision. + +31b255e5d04c4d4db3ce0e80ab2a76ee 0 Obama released a Facebook post . + S:TEMPORAL This was on September 5 , 2017 . + L:TEMPORAL_BEFORE f85c777d6c5b4dbf80038aeed4033a78 + L:ELABORATION 38474d1b1c9d4c269758953b5f8436f4 + +18eb780364894597986563272643efb3 0 Obama was rebuking the decision . + S:TEMPORAL This was on September 5 , 2017 . + L:TEMPORAL_BEFORE f85c777d6c5b4dbf80038aeed4033a78 + L:ELABORATION 38474d1b1c9d4c269758953b5f8436f4 + +f85c777d6c5b4dbf80038aeed4033a78 1 Jeff Sessions announced the termination of the Deferred Action . + S:UNKNOWN_SUBORDINATION This was for Childhood Arrivals -LRB- DACA -RRB- program . + +38474d1b1c9d4c269758953b5f8436f4 1 Jeff Sessions was Attorney General . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 493/527 # + +'On September 7, 2017, Obama partnered with former presidents Jimmy Carter, George H. W. Bush, Bill Clinton, and George W. Bush to work with One America Appeal to help the victims of Hurricane Harvey and Hurricane Irma in the Gulf Coast and Texas communities.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) + ├──────────────────s──────────────────> 'Jimmy Carter was former presidents .' + └───n───> SUB/PURPOSE (NULL, PurposePostExtractor) + ├───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + | ├────────s────────> 'This was on September 7 , 2017 .' + | └───n───> CO/LIST (NULL, PostListNPExtractor) + | ├───n───> 'Obama partnered with Jimmy Carter .' + | ├───n───> 'Obama partnered with George H. W. Bush .' + | ├───n───> 'Obama partnered with Bill Clinton .' + | └───n───> 'Obama partnered with George W. Bush .' + └─────────────s─────────────> 'This was to work with One America Appeal to help the victims of Hurricane Harvey and Hurricane Irma in the Gulf Coast and Texas communities .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# On September 7, 2017, Obama partnered with former presidents Jimmy Carter, George H. W. Bush, Bill Clinton, and George W. Bush to work with One America Appeal to help the victims of Hurricane Harvey and Hurricane Irma in the Gulf Coast and Texas communities. + +ff35ebec552c43bebbbce0e7de522126 0 Obama partnered with Jimmy Carter . + S:TEMPORAL This was on September 7 , 2017 . + S:PURPOSE This was to work with One America Appeal to help the victims of Hurricane Harvey and Hurricane Irma in the Gulf Coast and Texas communities . + L:LIST 378d921306474d61b96810312048d2c4 + L:LIST 101db19dcf344837b9147a13c3c442a0 + L:LIST 4068bc5af70e4bc9b5f5f8eb9f1fedeb + L:ELABORATION a05175c5f7ff4533bca4856a0207d108 + +378d921306474d61b96810312048d2c4 0 Obama partnered with George H. W. Bush . + S:TEMPORAL This was on September 7 , 2017 . + S:PURPOSE This was to work with One America Appeal to help the victims of Hurricane Harvey and Hurricane Irma in the Gulf Coast and Texas communities . + L:LIST 101db19dcf344837b9147a13c3c442a0 + L:LIST 4068bc5af70e4bc9b5f5f8eb9f1fedeb + L:LIST ff35ebec552c43bebbbce0e7de522126 + L:ELABORATION a05175c5f7ff4533bca4856a0207d108 + +101db19dcf344837b9147a13c3c442a0 0 Obama partnered with Bill Clinton . + S:TEMPORAL This was on September 7 , 2017 . + S:PURPOSE This was to work with One America Appeal to help the victims of Hurricane Harvey and Hurricane Irma in the Gulf Coast and Texas communities . + L:LIST 4068bc5af70e4bc9b5f5f8eb9f1fedeb + L:LIST ff35ebec552c43bebbbce0e7de522126 + L:LIST 378d921306474d61b96810312048d2c4 + L:ELABORATION a05175c5f7ff4533bca4856a0207d108 + +4068bc5af70e4bc9b5f5f8eb9f1fedeb 0 Obama partnered with George W. Bush . + S:TEMPORAL This was on September 7 , 2017 . + S:PURPOSE This was to work with One America Appeal to help the victims of Hurricane Harvey and Hurricane Irma in the Gulf Coast and Texas communities . + L:LIST ff35ebec552c43bebbbce0e7de522126 + L:LIST 378d921306474d61b96810312048d2c4 + L:LIST 101db19dcf344837b9147a13c3c442a0 + L:ELABORATION a05175c5f7ff4533bca4856a0207d108 + +a05175c5f7ff4533bca4856a0207d108 1 Jimmy Carter was former presidents . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 494/527 # + +'On October 31, 2017, Obama hosted the inaugural summit of the Obama Foundation in Chicago.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) + ├────────s────────> 'This was in Chicago .' + └───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + ├───s───> 'This was on October 31 , 2017 .' + └───n───> 'Obama hosted the inaugural summit of the Obama Foundation .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# On October 31, 2017, Obama hosted the inaugural summit of the Obama Foundation in Chicago. + +de56e2bee1374c91b45c6df6acbc7270 0 Obama hosted the inaugural summit of the Obama Foundation . + S:TEMPORAL This was on October 31 , 2017 . + S:SPATIAL This was in Chicago . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 495/527 # + +'Obama intends for the foundation to be the central focus of his post-presidency and part of his ambitions for his subsequent activities following his presidency to be more consequential than his time in office.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> 'Obama intends for the foundation to be the central focus of his post-presidency and part of his ambitions for his subsequent activities following his presidency to be more consequential than his time in office .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# Obama intends for the foundation to be the central focus of his post-presidency and part of his ambitions for his subsequent activities following his presidency to be more consequential than his time in office. + +9dcc08b5e31b4e2ebb4e812fd465f5af 0 Obama intends for the foundation to be the central focus of his post-presidency and part of his ambitions for his subsequent activities following his presidency to be more consequential than his time in office . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 496/527 # + +'Obama has also been working on a Presidential memoir, in a reported $65 million deal with Penguin Random House.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/TEMPORAL (NULL, PrepositionalMiddleFinalExtractor) + ├───s───> 'This was in a reported $ 65 million deal with Penguin Random House .' + └───n───> 'Obama has also been working on a Presidential memoir .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# Obama has also been working on a Presidential memoir, in a reported $65 million deal with Penguin Random House. + +6238326876f24d51b1a0e96ea78af151 0 Obama has also been working on a Presidential memoir . + S:TEMPORAL This was in a reported $ 65 million deal with Penguin Random House . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 497/527 # + +'Obama went on an international trip from November 28 to December 2, 2017, and visited China, India and France.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> CO/LIST ('and', SharedNPPostCoordinationExtractor) + ├───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) + | ├────────s────────> 'This was to December 2 , 2017 .' + | └───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) + | ├───s───> 'This was from November 28 .' + | └───n───> 'Obama went on an international trip .' + └─────────────n─────────────> 'Obama visited China , India and France .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# Obama went on an international trip from November 28 to December 2, 2017, and visited China, India and France. + +ad8d49a567df4465964a7a30850ee9cb 0 Obama went on an international trip . + S:TEMPORAL This was from November 28 . + S:TEMPORAL This was to December 2 , 2017 . + L:LIST 6bf47bd43000491b8a71d5410fc995b5 + +6bf47bd43000491b8a71d5410fc995b5 0 Obama visited China , India and France . + L:LIST ad8d49a567df4465964a7a30850ee9cb + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 498/527 # + +'In China, he delivered remarks at the Global Alliance of SMEs Summit in Shanghai and met with Chinese President Xi Jinping in Beijing.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) + ├───────────────────────s───────────────────────> 'Xi Jinping was Chinese President .' + └───n───> CO/LIST ('and', SharedNPPostCoordinationExtractor) + ├───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + | ├─────────────s─────────────> 'This was at the Global Alliance of SMEs Summit .' + | └───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) + | ├────────s────────> 'This was in Shanghai .' + | └───n───> SUB/SPATIAL (NULL, PrepositionalInitialExtractor) + | ├───s───> 'This was in China .' + | └───n───> 'He delivered remarks .' + └────────n────────> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) + ├────────s────────> 'This was in Beijing .' + └───n───> SUB/SPATIAL (NULL, PrepositionalInitialExtractor) + ├───s───> 'This was in China .' + └───n───> 'He met with Xi Jinping .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# In China, he delivered remarks at the Global Alliance of SMEs Summit in Shanghai and met with Chinese President Xi Jinping in Beijing. + +1e7c5bf85b054668849e23fef588c7c8 0 He delivered remarks . + S:SPATIAL This was in China . + S:SPATIAL This was in Shanghai . + S:UNKNOWN_SUBORDINATION This was at the Global Alliance of SMEs Summit . + L:LIST 185a4733cbda4113bfc25b8a71ae6906 + L:ELABORATION f3fcd4ec56cf49b189347673ae904020 + +185a4733cbda4113bfc25b8a71ae6906 0 He met with Xi Jinping . + S:SPATIAL This was in China . + S:SPATIAL This was in Beijing . + L:LIST 1e7c5bf85b054668849e23fef588c7c8 + L:ELABORATION f3fcd4ec56cf49b189347673ae904020 + +f3fcd4ec56cf49b189347673ae904020 1 Xi Jinping was Chinese President . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 499/527 # + +'He then went to India, where he spoke at the Hindustan Times Leadership Summit before meeting with Indian Prime Minister Narendra Modi over lunch.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/SPATIAL (NULL, NonRestrictiveRelativeClauseWhereExtractor) + ├──────────────────n──────────────────> 'He then went to India .' + └───s───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) + ├─────────────s─────────────> 'Narendra Modi was Indian Prime Minister .' + └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + ├────────s────────> 'This was before meeting .' + └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + ├───s───> 'This was with Narendra Modi over lunch .' + └───n───> 'He spoke at the Hindustan Times Leadership Summit .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# He then went to India, where he spoke at the Hindustan Times Leadership Summit before meeting with Indian Prime Minister Narendra Modi over lunch. + +95783da0f281417fbcd568d7d2bd9c0e 0 He then went to India . + L:SPATIAL 08e82448b12e4db5850fe0b820d8bb19 + +08e82448b12e4db5850fe0b820d8bb19 1 He spoke at the Hindustan Times Leadership Summit . + S:UNKNOWN_SUBORDINATION This was with Narendra Modi over lunch . + S:UNKNOWN_SUBORDINATION This was before meeting . + L:ELABORATION d9a5b7c5161a438c8beafa25d6bda483 + +d9a5b7c5161a438c8beafa25d6bda483 2 Narendra Modi was Indian Prime Minister . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 500/527 # + +'In addition, he held a town hall for young leaders, organized by the Obama Foundation.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/UNKNOWN_SUBORDINATION ('', ParticipialMiddleExtractor) + ├───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + | ├────────s────────> 'This was for young leaders .' + | └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalInitialExtractor) + | ├───s───> 'This was in addition .' + | └───n───> 'He held a town hall .' + └─────────────s─────────────> 'Young leaders were organized by the Obama Foundation .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# In addition, he held a town hall for young leaders, organized by the Obama Foundation. + +c6c0f182b06e46fbb072a88d08b59fc6 0 He held a town hall . + S:UNKNOWN_SUBORDINATION This was in addition . + S:UNKNOWN_SUBORDINATION This was for young leaders . + L:UNKNOWN_SUBORDINATION 7e9a502ed71548d5a8e8ce2888b0ea7b + +7e9a502ed71548d5a8e8ce2888b0ea7b 1 Young leaders were organized by the Obama Foundation . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 501/527 # + +'He also met with the Dalai Lama while in New Delhi.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) + ├───s───> 'This was in New Delhi .' + └───n───> 'He also met with the Dalai Lama while .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# He also met with the Dalai Lama while in New Delhi. + +d1eb02a8a092489bb5ec61d634b3bcfe 0 He also met with the Dalai Lama while . + S:SPATIAL This was in New Delhi . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 502/527 # + +'He ended his five-day trip in France where he met with French President Emmanuel Macron, former President Francois Hollande and Paris Mayor Anne Hidalgo and then spoke at an invitation-only event, touching on climate issues.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) + ├────────────────────────────s────────────────────────────> 'Emmanuel Macron was French President .' + └───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) + ├───────────────────────s───────────────────────> 'Francois Hollande was former President .' + └───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) + ├──────────────────s──────────────────> 'Anne Hidalgo was Paris Mayor .' + └───n───> SUB/ELABORATION ('where', SubordinationPostExtractor) + ├────────n────────> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) + | ├───s───> 'This was in France .' + | └───n───> 'He ended his five-day trip .' + └───s───> CO/LIST ('and', SharedNPPostCoordinationExtractor) + ├───n───> CO/LIST (NULL, PostListNPExtractor) + | ├───n───> 'He met with Emmanuel Macron .' + | ├───n───> 'He met with Francois Hollande .' + | └───n───> 'He met with Anne Hidalgo .' + └───n───> CO/UNKNOWN_COORDINATION (NULL, SharedNPPostParticipalExtractor) + ├───n───> 'He then spoke at an invitation-only event .' + └───n───> 'He then was touching on climate issues .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# He ended his five-day trip in France where he met with French President Emmanuel Macron, former President Francois Hollande and Paris Mayor Anne Hidalgo and then spoke at an invitation-only event, touching on climate issues. + +82f826c723cc4165a7a266abad99c5da 0 He ended his five-day trip . + S:SPATIAL This was in France . + L:ELABORATION 52066eba0dde46269157bac4bb4082a3 + L:ELABORATION ebc46b41b305405d8901d29b7e8f2141 + L:ELABORATION 9e340140bcfd4d7180d98ae4841eedb7 + L:ELABORATION 37e19727963345959ad6f6895573a7c6 + L:ELABORATION a79fe84079fe41d4be85576b2c67efdf + L:ELABORATION 5f3b7dbf8e124fe9be4c18f43769b25a + L:ELABORATION ff8783a166944c3694e033ab3cae4066 + L:ELABORATION 7e37152d3b4f48b2b210e4ed4b52e48e + +52066eba0dde46269157bac4bb4082a3 1 He met with Emmanuel Macron . + L:LIST ebc46b41b305405d8901d29b7e8f2141 + L:LIST 9e340140bcfd4d7180d98ae4841eedb7 + L:LIST 37e19727963345959ad6f6895573a7c6 + L:LIST a79fe84079fe41d4be85576b2c67efdf + +ebc46b41b305405d8901d29b7e8f2141 1 He met with Francois Hollande . + L:LIST 9e340140bcfd4d7180d98ae4841eedb7 + L:LIST 52066eba0dde46269157bac4bb4082a3 + L:LIST 37e19727963345959ad6f6895573a7c6 + L:LIST a79fe84079fe41d4be85576b2c67efdf + +9e340140bcfd4d7180d98ae4841eedb7 1 He met with Anne Hidalgo . + L:LIST 52066eba0dde46269157bac4bb4082a3 + L:LIST ebc46b41b305405d8901d29b7e8f2141 + L:LIST 37e19727963345959ad6f6895573a7c6 + L:LIST a79fe84079fe41d4be85576b2c67efdf + +37e19727963345959ad6f6895573a7c6 1 He then spoke at an invitation-only event . + L:LIST 52066eba0dde46269157bac4bb4082a3 + L:LIST ebc46b41b305405d8901d29b7e8f2141 + L:LIST 9e340140bcfd4d7180d98ae4841eedb7 + +a79fe84079fe41d4be85576b2c67efdf 1 He then was touching on climate issues . + L:LIST 52066eba0dde46269157bac4bb4082a3 + L:LIST ebc46b41b305405d8901d29b7e8f2141 + L:LIST 9e340140bcfd4d7180d98ae4841eedb7 + +5f3b7dbf8e124fe9be4c18f43769b25a 1 Anne Hidalgo was Paris Mayor . + +ff8783a166944c3694e033ab3cae4066 1 Francois Hollande was former President . + +7e37152d3b4f48b2b210e4ed4b52e48e 1 Emmanuel Macron was French President . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 503/527 # + +'Job growth during the presidency of Obama compared to predecessors, as measured as cumulative percentage change from month after inauguration to end of his term' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + ├───s───> 'This was during the presidency of Obama .' + └───n───> 'Job growth compared to predecessors , as measured as cumulative percentage change from month after inauguration to end of his term .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# Job growth during the presidency of Obama compared to predecessors, as measured as cumulative percentage change from month after inauguration to end of his term + +849c8bb3d3cf41b6b52c02183feb9e39 0 Job growth compared to predecessors , as measured as cumulative percentage change from month after inauguration to end of his term . + S:UNKNOWN_SUBORDINATION This was during the presidency of Obama . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 504/527 # + +'Obama's most significant legacy is generally considered to be the Patient Protection and Affordable Care Act, provisions of which went into effect from 2010 to 2020.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/ELABORATION (NULL, NonRestrictiveAppositionExtractor) + ├────────s────────> 'The Patient Protection and Affordable Care Act were provisions of which went into effect from 2010 to 2020 .' + └───n───> CO/LIST (NULL, PostListNPExtractor) + ├───n───> 'Obama 's most significant legacy is generally considered to be the Patient Protection .' + └───n───> 'Obama 's most significant legacy is generally considered to be Affordable Care Act .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# Obama's most significant legacy is generally considered to be the Patient Protection and Affordable Care Act, provisions of which went into effect from 2010 to 2020. + +992563f9e024456b8325ccd22f93332c 0 Obama 's most significant legacy is generally considered to be the Patient Protection . + L:LIST e3ad3303a02843119249c41e7b5acf9a + L:ELABORATION 19a631b655f44f739d7646dd270df422 + +e3ad3303a02843119249c41e7b5acf9a 0 Obama 's most significant legacy is generally considered to be Affordable Care Act . + L:LIST 992563f9e024456b8325ccd22f93332c + L:ELABORATION 19a631b655f44f739d7646dd270df422 + +19a631b655f44f739d7646dd270df422 1 The Patient Protection and Affordable Care Act were provisions of which went into effect from 2010 to 2020 . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 505/527 # + +'Together with the Health Care and Education Reconciliation Act amendment, it represents the U.S. healthcare system's most significant regulatory overhaul and expansion of coverage since the passage of Medicare and Medicaid in 1965.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) + ├──────────────────s──────────────────> 'This is in 1965 .' + └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + ├─────────────s─────────────> 'This is since the passage of Medicare and Medicaid .' + └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalInitialExtractor) + ├────────s────────> 'This is together with the Health Care and Education Reconciliation Act amendment .' + └───n───> CO/LIST (NULL, PostListNPExtractor) + ├───n───> 'It represents the U.S. healthcare system 's most significant regulatory overhaul .' + └───n───> 'It represents expansion of coverage .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# Together with the Health Care and Education Reconciliation Act amendment, it represents the U.S. healthcare system's most significant regulatory overhaul and expansion of coverage since the passage of Medicare and Medicaid in 1965. + +99bc02e0aca34ca18d87d8e31d804ee4 0 It represents the U.S. healthcare system 's most significant regulatory overhaul . + S:UNKNOWN_SUBORDINATION This is together with the Health Care and Education Reconciliation Act amendment . + S:UNKNOWN_SUBORDINATION This is since the passage of Medicare and Medicaid . + S:TEMPORAL This is in 1965 . + L:LIST 4586796b6abb4a1c9fee08124745e2c5 + +4586796b6abb4a1c9fee08124745e2c5 0 It represents expansion of coverage . + S:UNKNOWN_SUBORDINATION This is together with the Health Care and Education Reconciliation Act amendment . + S:UNKNOWN_SUBORDINATION This is since the passage of Medicare and Medicaid . + S:TEMPORAL This is in 1965 . + L:LIST 99bc02e0aca34ca18d87d8e31d804ee4 + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 506/527 # + +'Many commentators credit Obama with averting a threatened depression and pulling the economy back from the Great Recession.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) + ├───s───> 'Obama was Many commentators credit .' + └───n───> 'Obama with averting a threatened depression and pulling the economy back from the Great Recession .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# Many commentators credit Obama with averting a threatened depression and pulling the economy back from the Great Recession. + +b2f1803bca4f4c1297fcfaa9a39101d0 0 Obama with averting a threatened depression and pulling the economy back from the Great Recession . + L:ELABORATION 169753160d8a4a4f8b04cae96a713317 + +169753160d8a4a4f8b04cae96a713317 1 Obama was Many commentators credit . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 507/527 # + +'According to the U.S. Bureau of Labor Statistics, the Obama administration created 11.3 million jobs from the month after his first inauguration to the end of his term.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + ├──────────────────s──────────────────> 'This was from the month .' + └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + ├─────────────s─────────────> 'This was after his first inauguration .' + └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + ├────────s────────> 'This was to the end of his term .' + └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalInitialExtractor) + ├───s───> 'This was according to the U.S. Bureau of Labor Statistics .' + └───n───> 'The Obama administration created 11.3 million jobs .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# According to the U.S. Bureau of Labor Statistics, the Obama administration created 11.3 million jobs from the month after his first inauguration to the end of his term. + +9133161bac3b423fbefe315b8305298b 0 The Obama administration created 11.3 million jobs . + S:UNKNOWN_SUBORDINATION This was according to the U.S. Bureau of Labor Statistics . + S:UNKNOWN_SUBORDINATION This was to the end of his term . + S:UNKNOWN_SUBORDINATION This was after his first inauguration . + S:UNKNOWN_SUBORDINATION This was from the month . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 508/527 # + +'In 2009, Obama signed into law the National Defense Authorization Act for Fiscal Year 2010, which contained in it the Matthew Shepard and James Byrd Jr.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/DESCRIBING_DEFINITION ('which', NonRestrictiveRelativeClauseWhoWhichExtractor) + ├───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + | ├───s───> 'This was in 2009 .' + | └───n───> 'Obama signed into law the National Defense Authorization Act for Fiscal Year 2010 .' + └────────s────────> 'Fiscal Year 2010 contained in it the Matthew Shepard and James Byrd Jr. .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# In 2009, Obama signed into law the National Defense Authorization Act for Fiscal Year 2010, which contained in it the Matthew Shepard and James Byrd Jr. + +1a0d152955aa4ee8a6ed6fa911da1dd4 0 Obama signed into law the National Defense Authorization Act for Fiscal Year 2010 . + S:TEMPORAL This was in 2009 . + L:DESCRIBING_DEFINITION 9426c0723bf44519a2b0e9ec76b2b714 + +9426c0723bf44519a2b0e9ec76b2b714 1 Fiscal Year 2010 contained in it the Matthew Shepard and James Byrd Jr. . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 509/527 # + +'Hate Crimes Prevention Act, the first addition to existing federal hate crime law in the United States since Democratic President Bill Clinton signed into law the Church Arson Prevention Act of 1996.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> 'Hate Crimes Prevention Act , the first addition to existing federal hate crime law in the United States since Democratic President Bill Clinton signed into law the Church Arson Prevention Act of 1996 .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# Hate Crimes Prevention Act, the first addition to existing federal hate crime law in the United States since Democratic President Bill Clinton signed into law the Church Arson Prevention Act of 1996. + +fd12e7b876f94c88a7d7abd34ef5b115 0 Hate Crimes Prevention Act , the first addition to existing federal hate crime law in the United States since Democratic President Bill Clinton signed into law the Church Arson Prevention Act of 1996 . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 510/527 # + +'The Matthew Shepard and James Byrd Jr.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> 'The Matthew Shepard and James Byrd Jr. .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# The Matthew Shepard and James Byrd Jr. + +ec2c88c33c0646bf8fe643db157bc6c6 0 The Matthew Shepard and James Byrd Jr. . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 511/527 # + +'Hate Crimes Prevention Act expanded existing federal hate crime laws in the United States to apply to crimes motivated by a victim's actual or perceived gender, sexual orientation, gender identity, or disability, and dropped the prerequisite that the victim be engaging in a federally protected activity.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/ELABORATION (NULL, NonRestrictiveAppositionExtractor) + ├─────────────s─────────────> 'Sexual orientation was gender identity .' + └───n───> CO/LIST (', and', SharedNPPostCoordinationExtractor) + ├───n───> SUB/PURPOSE (NULL, PurposePostExtractor) + | ├───n───> 'Hate Crimes Prevention Act expanded existing federal hate crime laws in the United States .' + | └───s───> 'This was to apply to crimes motivated by a victim 's actual or perceived gender , sexual orientation or disability .' + └───n───> SUB/UNKNOWN_SUBORDINATION ('that', SubordinationPostExtractor) + ├───n───> 'Hate Crimes Prevention Act dropped the prerequisite .' + └───s───> 'The victim be engaging in a federally protected activity .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# Hate Crimes Prevention Act expanded existing federal hate crime laws in the United States to apply to crimes motivated by a victim's actual or perceived gender, sexual orientation, gender identity, or disability, and dropped the prerequisite that the victim be engaging in a federally protected activity. + +d8cb7507fb114a80852bd40eb29ef6f6 0 Hate Crimes Prevention Act expanded existing federal hate crime laws in the United States . + S:PURPOSE This was to apply to crimes motivated by a victim 's actual or perceived gender , sexual orientation or disability . + L:LIST d55875af2e2c47dfb2da6eabd554f5ba + L:ELABORATION 089f2a8a12d74e5794c4a6474ed005f7 + +d55875af2e2c47dfb2da6eabd554f5ba 0 Hate Crimes Prevention Act dropped the prerequisite . + L:UNKNOWN_SUBORDINATION 7726c23baecf4dc1bfdbc82b111b2356 + L:LIST d8cb7507fb114a80852bd40eb29ef6f6 + L:ELABORATION 089f2a8a12d74e5794c4a6474ed005f7 + +7726c23baecf4dc1bfdbc82b111b2356 1 The victim be engaging in a federally protected activity . + +089f2a8a12d74e5794c4a6474ed005f7 1 Sexual orientation was gender identity . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 512/527 # + +'In 2010, Obama signed into effect the Dodd–Frank Wall Street Reform and Consumer Protection Act.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + ├────────s────────> 'This was in 2010 .' + └───n───> CO/LIST (NULL, PostListNPExtractor) + ├───n───> 'Obama signed into effect the Dodd -- Frank Wall Street Reform .' + └───n───> 'Obama signed into effect the Dodd -- Consumer Protection Act .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# In 2010, Obama signed into effect the Dodd–Frank Wall Street Reform and Consumer Protection Act. + +4987ee68613c4678a4b06f76129e0270 0 Obama signed into effect the Dodd -- Frank Wall Street Reform . + S:TEMPORAL This was in 2010 . + L:LIST 77f67859a8c744c994a4d84b4cf8c81f + +77f67859a8c744c994a4d84b4cf8c81f 0 Obama signed into effect the Dodd -- Consumer Protection Act . + S:TEMPORAL This was in 2010 . + L:LIST 4987ee68613c4678a4b06f76129e0270 + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 513/527 # + +'Passed as a response to the financial crisis of 2007–08, it brought the most significant changes to financial regulation in the United States since the regulatory reform that followed the Great Depression under Democratic President Franklin D. Roosevelt.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) + ├──────────────────s──────────────────> 'Franklin D. Roosevelt was Democratic President .' + └───n───> CO/UNKNOWN_COORDINATION ('', SharedNPPreParticipalExtractor) + ├────────n────────> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) + | ├───s───> 'This was to the financial crisis of 2007 -- 08 .' + | └───n───> 'It was passed as a response .' + └───n───> SUB/IDENTIFYING_DEFINITION ('that', RestrictiveRelativeClauseWhoWhichExtractor) + ├───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) + | ├───s───> 'This was to financial regulation in the United States .' + | └───n───> 'It brought the most significant changes since the regulatory reform .' + └───s───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + ├───s───> 'This was under Franklin D. Roosevelt .' + └───n───> 'The regulatory reform followed the Great Depression .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# Passed as a response to the financial crisis of 2007–08, it brought the most significant changes to financial regulation in the United States since the regulatory reform that followed the Great Depression under Democratic President Franklin D. Roosevelt. + +373dfb871c6c4783a0bef2302f12988f 0 It was passed as a response . + S:TEMPORAL This was to the financial crisis of 2007 -- 08 . + L:ELABORATION 12abb2097d984e3a8c22c833b3cbc22a + +4f43f6760f214c389784a14ab582b7ab 0 It brought the most significant changes since the regulatory reform . + S:SPATIAL This was to financial regulation in the United States . + L:IDENTIFYING_DEFINITION da2b8a63505c41bdad9adea0ac63edb4 + L:ELABORATION 12abb2097d984e3a8c22c833b3cbc22a + +da2b8a63505c41bdad9adea0ac63edb4 1 The regulatory reform followed the Great Depression . + S:UNKNOWN_SUBORDINATION This was under Franklin D. Roosevelt . + +12abb2097d984e3a8c22c833b3cbc22a 1 Franklin D. Roosevelt was Democratic President . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 514/527 # + +'As president, Obama advanced LGBT rights.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalInitialExtractor) + ├───s───> 'This was as president .' + └───n───> 'Obama advanced LGBT rights .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# As president, Obama advanced LGBT rights. + +6dd6a6ec75b042f38a76145e55a8497f 0 Obama advanced LGBT rights . + S:UNKNOWN_SUBORDINATION This was as president . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 515/527 # + +'In 2010, he signed the Don't Ask, Don't Tell Repeal Act, which brought an end to don't ask, don't tell policy in the U.S. armed forces that banned open service from LGB people; the law went into effect the following year.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> CO/UNKNOWN_COORDINATION (', Do n't Tell Repeal Act , which brought an end to do n't ask , do n't tell policy in the U.S. armed forces that banned open service from LGB people ;', CoordinationExtractor) + ├───n───> SUB/UNKNOWN_SUBORDINATION ('', SubordinationPostExtractor) + | ├───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + | | ├───s───> 'This was in 2010 .' + | | └───n───> 'He signed .' + | └────────s────────> 'The Do n't Ask .' + └─────────────n─────────────> 'The law went into effect the following year .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# In 2010, he signed the Don't Ask, Don't Tell Repeal Act, which brought an end to don't ask, don't tell policy in the U.S. armed forces that banned open service from LGB people; the law went into effect the following year. + +a2df9f1c2d9f4fdfb5f567f233b8c8ba 0 He signed . + S:TEMPORAL This was in 2010 . + L:UNKNOWN_SUBORDINATION f4295981f05043e59573975756729615 + +f4295981f05043e59573975756729615 1 The Do n't Ask . + +4f51de26bfa24bf9926669b85eb66391 0 The law went into effect the following year . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 516/527 # + +'In 2016, the Obama administration brought an end to the ban on transgender people serving openly in the US armed forces.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + ├─────────────s─────────────> 'This was to the ban .' + └───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) + ├───s───> SUB/IDENTIFYING_DEFINITION ('', RestrictiveParticipialExtractor) + | ├───n───> 'This was on transgender people .' + | └───s───> 'Transgender people were serving openly in the US armed forces .' + └───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + ├───s───> 'This was in 2016 .' + └───n───> 'The Obama administration brought an end .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# In 2016, the Obama administration brought an end to the ban on transgender people serving openly in the US armed forces. + +2a55008143d24cda9178f95fdc798097 0 The Obama administration brought an end . + S:TEMPORAL This was in 2016 . + S:UNKNOWN_SUBORDINATION This was to the ban . + L:SPATIAL 2adc9e081b72451f8792952a96757eab + +2adc9e081b72451f8792952a96757eab 1 This was on transgender people . + L:IDENTIFYING_DEFINITION 240b7f322b034200ae33e3e5eb19ab4a + +240b7f322b034200ae33e3e5eb19ab4a 2 Transgender people were serving openly in the US armed forces . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 517/527 # + +'A Gallup poll, taken in the final days of Obama's term, showed that 68% of Americans believed that the U.S. had made progress in the situation for gays and lesbians during Obama's eight years in office.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/UNKNOWN_SUBORDINATION ('that', SubordinationPostExtractor) + ├──────────────────n──────────────────> SUB/UNKNOWN_SUBORDINATION ('', ParticipialMiddleExtractor) + | ├───n───> 'A Gallup poll showed .' + | └───s───> 'A Gallup poll was taken in the final days of Obama 's term .' + └───s───> SUB/ATTRIBUTION (NULL, SubordinationPostAttributionExtractor2) + ├──────────────────s──────────────────> 'This was what 68 % of Americans believed .' + └───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) + ├─────────────s─────────────> 'This was during Obama 's eight years .' + └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + ├────────s────────> 'This was in office .' + └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + ├───s───> 'This was in the situation for gays and lesbians .' + └───n───> 'The U.S. had made progress .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# A Gallup poll, taken in the final days of Obama's term, showed that 68% of Americans believed that the U.S. had made progress in the situation for gays and lesbians during Obama's eight years in office. + +a40c3fa11454424bb9549a8fa8eba91c 0 A Gallup poll showed . + L:UNKNOWN_SUBORDINATION 0f922ec9c9ac400b8229f911e3511803 + L:UNKNOWN_SUBORDINATION 2344026461ef47c6ad81248210043834 + +0f922ec9c9ac400b8229f911e3511803 1 A Gallup poll was taken in the final days of Obama 's term . + +2344026461ef47c6ad81248210043834 1 The U.S. had made progress . + S:UNKNOWN_SUBORDINATION This was in the situation for gays and lesbians . + S:UNKNOWN_SUBORDINATION This was in office . + S:TEMPORAL This was during Obama 's eight years . + S:ATTRIBUTION This was what 68 % of Americans believed . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 518/527 # + +'Obama continued drone strikes against Islamist militants begun by the previous administration.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + ├───s───> SUB/IDENTIFYING_DEFINITION ('', RestrictiveParticipialExtractor) + | ├───n───> 'This was against Islamist militants .' + | └───s───> 'Islamist militants were begun by the previous administration .' + └────────n────────> 'Obama continued drone strikes .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# Obama continued drone strikes against Islamist militants begun by the previous administration. + +78fc3486b6634a2587dadcbc1b53d60b 0 Obama continued drone strikes . + L:UNKNOWN_SUBORDINATION 384ec92aff6d4872aaff6d71379339d8 + +384ec92aff6d4872aaff6d71379339d8 1 This was against Islamist militants . + L:IDENTIFYING_DEFINITION 653ddb305a564d8b812eb02c1b46d870 + +653ddb305a564d8b812eb02c1b46d870 2 Islamist militants were begun by the previous administration . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 519/527 # + +'In 2016, the last year of his presidency, the US dropped 26,171 bombs on seven different countries.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/ELABORATION (NULL, NonRestrictiveAppositionExtractor) + ├─────────────s─────────────> '2016 was the last year of his presidency .' + └───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) + ├────────s────────> 'This was on seven different countries .' + └───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + ├───s───> 'This was in 2016 .' + └───n───> 'The US dropped 26,171 bombs .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# In 2016, the last year of his presidency, the US dropped 26,171 bombs on seven different countries. + +72d416b7d44248479b1026df50d26cf7 0 The US dropped 26,171 bombs . + S:TEMPORAL This was in 2016 . + S:TEMPORAL This was on seven different countries . + L:ELABORATION 063be774b8b9443e97750e00d250ba16 + +063be774b8b9443e97750e00d250ba16 1 2016 was the last year of his presidency . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 520/527 # + +'Obama left about 9,800 US troops in Afghanistan, 5,262 in Iraq, 503 in Syria, 133 in Pakistan, 106 in Somalia, 7 in Yemen, and 2 in Libya at the end of his presidency.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + ├────────s────────> 'This was at the end of his presidency .' + └───n───> CO/LIST (NULL, PostListNPExtractor) + ├───n───> 'Obama left about 9,800 US troops in Afghanistan .' + ├───n───> 'Obama left 5,262 in Iraq .' + ├───n───> 'Obama left 503 in Syria .' + ├───n───> 'Obama left 133 in Pakistan .' + ├───n───> 'Obama left 106 in Somalia .' + ├───n───> 'Obama left 7 in Yemen .' + └───n───> 'Obama left 2 in Libya .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# Obama left about 9,800 US troops in Afghanistan, 5,262 in Iraq, 503 in Syria, 133 in Pakistan, 106 in Somalia, 7 in Yemen, and 2 in Libya at the end of his presidency. + +a3dcfdda6b254caab8d7d015e7c6a7e4 0 Obama left about 9,800 US troops in Afghanistan . + S:UNKNOWN_SUBORDINATION This was at the end of his presidency . + L:LIST a23398a02b934c8eba70a7aa5c8807bb + L:LIST 78357507518d4511bb51721896dfda98 + L:LIST e348ce2aeeff4fcb947cb1bd3a3499f7 + L:LIST a6739376deef47feafdcea9290ab405a + L:LIST 320c1d523724478f8a75681563230c62 + L:LIST 253a18c8b6f84cdeadbff7cfbfc6e139 + +a23398a02b934c8eba70a7aa5c8807bb 0 Obama left 5,262 in Iraq . + S:UNKNOWN_SUBORDINATION This was at the end of his presidency . + L:LIST 78357507518d4511bb51721896dfda98 + L:LIST e348ce2aeeff4fcb947cb1bd3a3499f7 + L:LIST a6739376deef47feafdcea9290ab405a + L:LIST 320c1d523724478f8a75681563230c62 + L:LIST 253a18c8b6f84cdeadbff7cfbfc6e139 + L:LIST a3dcfdda6b254caab8d7d015e7c6a7e4 + +78357507518d4511bb51721896dfda98 0 Obama left 503 in Syria . + S:UNKNOWN_SUBORDINATION This was at the end of his presidency . + L:LIST e348ce2aeeff4fcb947cb1bd3a3499f7 + L:LIST a6739376deef47feafdcea9290ab405a + L:LIST 320c1d523724478f8a75681563230c62 + L:LIST 253a18c8b6f84cdeadbff7cfbfc6e139 + L:LIST a3dcfdda6b254caab8d7d015e7c6a7e4 + L:LIST a23398a02b934c8eba70a7aa5c8807bb + +e348ce2aeeff4fcb947cb1bd3a3499f7 0 Obama left 133 in Pakistan . + S:UNKNOWN_SUBORDINATION This was at the end of his presidency . + L:LIST a6739376deef47feafdcea9290ab405a + L:LIST 320c1d523724478f8a75681563230c62 + L:LIST 253a18c8b6f84cdeadbff7cfbfc6e139 + L:LIST a3dcfdda6b254caab8d7d015e7c6a7e4 + L:LIST a23398a02b934c8eba70a7aa5c8807bb + L:LIST 78357507518d4511bb51721896dfda98 + +a6739376deef47feafdcea9290ab405a 0 Obama left 106 in Somalia . + S:UNKNOWN_SUBORDINATION This was at the end of his presidency . + L:LIST 320c1d523724478f8a75681563230c62 + L:LIST 253a18c8b6f84cdeadbff7cfbfc6e139 + L:LIST a3dcfdda6b254caab8d7d015e7c6a7e4 + L:LIST a23398a02b934c8eba70a7aa5c8807bb + L:LIST 78357507518d4511bb51721896dfda98 + L:LIST e348ce2aeeff4fcb947cb1bd3a3499f7 + +320c1d523724478f8a75681563230c62 0 Obama left 7 in Yemen . + S:UNKNOWN_SUBORDINATION This was at the end of his presidency . + L:LIST 253a18c8b6f84cdeadbff7cfbfc6e139 + L:LIST a3dcfdda6b254caab8d7d015e7c6a7e4 + L:LIST a23398a02b934c8eba70a7aa5c8807bb + L:LIST 78357507518d4511bb51721896dfda98 + L:LIST e348ce2aeeff4fcb947cb1bd3a3499f7 + L:LIST a6739376deef47feafdcea9290ab405a + +253a18c8b6f84cdeadbff7cfbfc6e139 0 Obama left 2 in Libya . + S:UNKNOWN_SUBORDINATION This was at the end of his presidency . + L:LIST a3dcfdda6b254caab8d7d015e7c6a7e4 + L:LIST a23398a02b934c8eba70a7aa5c8807bb + L:LIST 78357507518d4511bb51721896dfda98 + L:LIST e348ce2aeeff4fcb947cb1bd3a3499f7 + L:LIST a6739376deef47feafdcea9290ab405a + L:LIST 320c1d523724478f8a75681563230c62 + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 521/527 # + +'According to Pew Research Center and United States Bureau of Justice Statistics, from December 31, 2009 to December 31, 2015, that inmates sentenced in US federal custody declined by 5% under Obama.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + ├──────────────────s──────────────────> 'This was under Obama .' + └───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) + ├───s───> SUB/TEMPORAL (NULL, PrepositionalMiddleFinalExtractor) + | ├───s───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) + | | ├───s───> 'This was to December 31 , 2015 .' + | | └───n───> 'This was from December 31 , 2009 .' + | └───n───> CO/LIST (NULL, PostListNPExtractor) + | ├───n───> 'This was according to Pew Research Center .' + | └───n───> 'This was according to United States Bureau of Justice Statistics .' + └─────────────n─────────────> 'That inmates sentenced in US federal custody declined by 5 % .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# According to Pew Research Center and United States Bureau of Justice Statistics, from December 31, 2009 to December 31, 2015, that inmates sentenced in US federal custody declined by 5% under Obama. + +de7c9d02e155494d890ff6f2941de978 0 That inmates sentenced in US federal custody declined by 5 % . + S:UNKNOWN_SUBORDINATION This was under Obama . + L:TEMPORAL a17f90253cc04551b407210c7f621d8c + L:TEMPORAL 9c9189cac2f745ef9e7550f37136a7cf + +a17f90253cc04551b407210c7f621d8c 1 This was according to Pew Research Center . + L:LIST 9c9189cac2f745ef9e7550f37136a7cf + L:TEMPORAL a1ee713bbde040d2ada82217dfcf0566 + +9c9189cac2f745ef9e7550f37136a7cf 1 This was according to United States Bureau of Justice Statistics . + L:LIST a17f90253cc04551b407210c7f621d8c + L:TEMPORAL a1ee713bbde040d2ada82217dfcf0566 + +a1ee713bbde040d2ada82217dfcf0566 2 This was from December 31 , 2009 . + S:TEMPORAL This was to December 31 , 2015 . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 522/527 # + +'This is the largest decline in sentenced inmates in US federal custody since Democratic President Jimmy Carter.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) + ├───s───> 'Jimmy Carter is US federal custody since Democratic President .' + └───n───> 'This is the largest decline in sentenced inmates in Jimmy Carter .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# This is the largest decline in sentenced inmates in US federal custody since Democratic President Jimmy Carter. + +42aa677f63c74bf5bfc81279235d0df7 0 This is the largest decline in sentenced inmates in Jimmy Carter . + L:ELABORATION c4c6d1a6ffef4a07ae3690b1e6e875a7 + +c4c6d1a6ffef4a07ae3690b1e6e875a7 1 Jimmy Carter is US federal custody since Democratic President . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 523/527 # + +'By contrast, the federal prison population increased significantly under presidents Ronald Reagan, George H. W. Bush, Bill Clinton, and George W. Bush.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) + ├─────────────s─────────────> 'Ronald Reagan was presidents .' + └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalInitialExtractor) + ├────────s────────> 'This was by contrast .' + └───n───> CO/LIST (NULL, PostListNPExtractor) + ├───n───> 'The federal prison population increased significantly under Ronald Reagan .' + ├───n───> 'The federal prison population increased significantly under George H. W. Bush .' + ├───n───> 'The federal prison population increased significantly under Bill Clinton .' + └───n───> 'The federal prison population increased significantly under George W. Bush .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# By contrast, the federal prison population increased significantly under presidents Ronald Reagan, George H. W. Bush, Bill Clinton, and George W. Bush. + +3d07203501b346e9b29b39816d679585 0 The federal prison population increased significantly under Ronald Reagan . + S:UNKNOWN_SUBORDINATION This was by contrast . + L:LIST 5ce9485ea96a4faeb369a2950d698e93 + L:LIST 82ab010b4d4a4a1c9e189310a997251f + L:LIST d656f3e467114431a636143c6fa08494 + L:ELABORATION db3f40b417604e5bb83e724947fb060e + +5ce9485ea96a4faeb369a2950d698e93 0 The federal prison population increased significantly under George H. W. Bush . + S:UNKNOWN_SUBORDINATION This was by contrast . + L:LIST 82ab010b4d4a4a1c9e189310a997251f + L:LIST d656f3e467114431a636143c6fa08494 + L:LIST 3d07203501b346e9b29b39816d679585 + L:ELABORATION db3f40b417604e5bb83e724947fb060e + +82ab010b4d4a4a1c9e189310a997251f 0 The federal prison population increased significantly under Bill Clinton . + S:UNKNOWN_SUBORDINATION This was by contrast . + L:LIST d656f3e467114431a636143c6fa08494 + L:LIST 3d07203501b346e9b29b39816d679585 + L:LIST 5ce9485ea96a4faeb369a2950d698e93 + L:ELABORATION db3f40b417604e5bb83e724947fb060e + +d656f3e467114431a636143c6fa08494 0 The federal prison population increased significantly under George W. Bush . + S:UNKNOWN_SUBORDINATION This was by contrast . + L:LIST 3d07203501b346e9b29b39816d679585 + L:LIST 5ce9485ea96a4faeb369a2950d698e93 + L:LIST 82ab010b4d4a4a1c9e189310a997251f + L:ELABORATION db3f40b417604e5bb83e724947fb060e + +db3f40b417604e5bb83e724947fb060e 1 Ronald Reagan was presidents . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 524/527 # + +'Obama left office in January 2017 with a 60% approval rating.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) + ├────────s────────> 'This was in January 2017 .' + └───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) + ├───s───> 'This was with a 60 % approval rating .' + └───n───> 'Obama left office .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# Obama left office in January 2017 with a 60% approval rating. + +4c389da98426422c9695d61065dbd62f 0 Obama left office . + S:TEMPORAL This was with a 60 % approval rating . + S:TEMPORAL This was in January 2017 . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 525/527 # + +'A 2017 C-SPAN Presidential Historians Survey ranked Obama as the 12th-best US president.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) + ├───s───> 'This was as the 12th-best US president .' + └───n───> 'A 2017 C-SPAN Presidential Historians Survey ranked Obama .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# A 2017 C-SPAN Presidential Historians Survey ranked Obama as the 12th-best US president. + +e2681c5c20144145a39494317b3f995d 0 A 2017 C-SPAN Presidential Historians Survey ranked Obama . + S:SPATIAL This was as the 12th-best US president . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 526/527 # + +'The Barack Obama Presidential Center is Obama's planned presidential library.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> 'The Barack Obama Presidential Center is Obama 's planned presidential library .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# The Barack Obama Presidential Center is Obama's planned presidential library. + +187e3611d1d1467ca3ce1afd3d3e66b0 0 The Barack Obama Presidential Center is Obama 's planned presidential library . + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +# Processing sentence 527/527 # + +'It will be hosted by the University of Chicago and located in Jackson Park on the South Side of Chicago.' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> CO/LIST ('and', SharedNPPostCoordinationExtractor) + ├───n───> 'It will be hosted by the University of Chicago .' + └───n───> 'It will be located in Jackson Park on the South Side of Chicago .' + +### STEP 2) DO DISCOURSE EXTRACTION ### + +# It will be hosted by the University of Chicago and located in Jackson Park on the South Side of Chicago. + +83043607594345f389a8aaa93bdf7eb4 0 It will be hosted by the University of Chicago . + L:LIST 806588d413b24ed299c62b31d2db8a41 + +806588d413b24ed299c62b31d2db8a41 0 It will be located in Jackson Park on the South Side of Chicago . + L:LIST 83043607594345f389a8aaa93bdf7eb4 + + +### STEP 3) DO SENTENCE SIMPLIFICATION ### + +DEACTIVATED + +### FINISHED + +done + diff --git a/pom.xml b/pom.xml new file mode 100644 index 0000000..e4da263 --- /dev/null +++ b/pom.xml @@ -0,0 +1,204 @@ + + + + 4.0.0 + + org.lambda3.text.simplification + discourse-simplification + 8.1.1 + jar + + Discourse Simplification + + Discourse Simplification + + + scm:git:https://github.com/Lambda-3/DiscourseSimplification + scm:git:https://github.com/Lambda-3/DiscourseSimplification + https://github.com/Lambda-3/DiscourseSimplification + + + + 1.3.1 + 2.8.9 + + 5.0.0 + + 3.7.0 + 1.1.8 + + 1.0.0-M3 + 5.0.0-M3 + + 1.8 + UTF-8 + UTF-8 + + + + + + + com.typesafe + config + ${config.version} + + + + + com.fasterxml.jackson.core + jackson-annotations + ${jackson.version} + + + com.fasterxml.jackson.core + jackson-core + ${jackson.version} + + + com.fasterxml.jackson.core + jackson-databind + ${jackson.version} + + + + + org.lambda3.text.simplification + sentence-simplification + ${simplification.version} + + + + + edu.stanford.nlp + stanford-corenlp + ${corenlp.version} + + + slf4j-api + org.slf4j + + + + + + + ch.qos.logback + logback-classic + ${logback.version} + + + + + org.junit.jupiter + junit-jupiter-api + ${junit.jupiter.version} + test + + + + + + + + org.apache.maven.plugins + maven-compiler-plugin + 3.6.1 + true + + ${jdk.version} + ${jdk.version} + + + + org.apache.maven.plugins + maven-jar-plugin + 3.0.2 + + + org.codehaus.mojo + exec-maven-plugin + 1.5.0 + + org.lambda3.text.simplification.discourse.App + + + + org.apache.maven.plugins + maven-assembly-plugin + 3.0.0 + + + jar-with-dependencies + + + + + org.lambda3.text.simplification.sentence.segmentation.SentenceSeparator + + + + + + + package + + single + + + + + + org.apache.maven.plugins + maven-source-plugin + 3.0.1 + + + attach-sources + package + + jar-no-fork + + + + + + maven-surefire-plugin + 2.19 + + + org.junit.platform + junit-platform-surefire-provider + ${junit.platform.version} + + + org.junit.jupiter + junit-jupiter-engine + ${junit.jupiter.version} + + + + + + diff --git a/src/main/java/org/lambda3/text/simplification/discourse/App.java b/src/main/java/org/lambda3/text/simplification/discourse/App.java new file mode 100644 index 0000000..0fe1e38 --- /dev/null +++ b/src/main/java/org/lambda3/text/simplification/discourse/App.java @@ -0,0 +1,61 @@ +/* + * ==========================License-Start============================= + * DiscourseSimplification : App + * + * Copyright © 2017 Lambda³ + * + * GNU General Public License 3 + * This program is free software: you can redistribute it and/or modify + * it under the terms of the GNU General Public License as published by + * the Free Software Foundation, either version 3 of the License, or + * (at your option) any later version. + * + * This program is distributed in the hope that it will be useful, + * but WITHOUT ANY WARRANTY; without even the implied warranty of + * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + * GNU General Public License for more details. + * + * You should have received a copy of the GNU General Public License + * along with this program. If not, see http://www.gnu.org/licenses/. + * ==========================License-End============================== + */ + +package org.lambda3.text.simplification.discourse; + +import org.lambda3.text.simplification.discourse.processing.DiscourseSimplifier; +import org.lambda3.text.simplification.discourse.processing.ProcessingType; +import org.lambda3.text.simplification.discourse.model.SimplificationContent; +import org.slf4j.LoggerFactory; + +import java.io.BufferedWriter; +import java.io.File; +import java.io.FileWriter; +import java.io.IOException; +import java.util.Arrays; +import java.util.List; +import java.util.stream.Collectors; + +public class App { + private static final org.slf4j.Logger LOGGER = LoggerFactory.getLogger(App.class); + private static final DiscourseSimplifier DISCOURSE_SIMPLIFIER = new DiscourseSimplifier(); + + private static void saveLines(File file, List lines) { + try (BufferedWriter bw = new BufferedWriter(new FileWriter(file))) { + bw.write(lines.stream().collect(Collectors.joining("\n"))); + + // no need to close it. + //bw.close() + } catch (IOException e) { + e.printStackTrace(); + } + } + + public static void main(String[] args) throws IOException { + + SimplificationContent content = DISCOURSE_SIMPLIFIER.doDiscourseSimplification(new File("obama_wiki_en_split.txt"), ProcessingType.SEPARATE, true); + content.serializeToJSON(new File("output.json")); + saveLines(new File("output_default.txt"), Arrays.asList(content.defaultFormat(false))); + saveLines(new File("output_flat.txt"), Arrays.asList(content.flatFormat(false))); + LOGGER.info("done"); + } +} diff --git a/src/main/java/org/lambda3/text/simplification/discourse/model/Content.java b/src/main/java/org/lambda3/text/simplification/discourse/model/Content.java new file mode 100644 index 0000000..03f8161 --- /dev/null +++ b/src/main/java/org/lambda3/text/simplification/discourse/model/Content.java @@ -0,0 +1,71 @@ +/* + * ==========================License-Start============================= + * DiscourseSimplification : Content + * + * Copyright © 2017 Lambda³ + * + * GNU General Public License 3 + * This program is free software: you can redistribute it and/or modify + * it under the terms of the GNU General Public License as published by + * the Free Software Foundation, either version 3 of the License, or + * (at your option) any later version. + * + * This program is distributed in the hope that it will be useful, + * but WITHOUT ANY WARRANTY; without even the implied warranty of + * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + * GNU General Public License for more details. + * + * You should have received a copy of the GNU General Public License + * along with this program. If not, see http://www.gnu.org/licenses/. + * ==========================License-End============================== + */ + +package org.lambda3.text.simplification.discourse.model; + +import com.fasterxml.jackson.annotation.JsonAutoDetect; +import com.fasterxml.jackson.annotation.PropertyAccessor; +import com.fasterxml.jackson.core.JsonProcessingException; +import com.fasterxml.jackson.databind.ObjectMapper; +import com.fasterxml.jackson.databind.module.SimpleModule; +import edu.stanford.nlp.trees.Tree; +import org.lambda3.text.simplification.discourse.model.serializer.TreeDeserializer; +import org.lambda3.text.simplification.discourse.model.serializer.TreeSerializer; + +import java.io.File; +import java.io.IOException; + +public abstract class Content { + private static final ObjectMapper MAPPER = new ObjectMapper(); + private static final SimpleModule MODULE = new SimpleModule(); + + static { + MAPPER.setVisibility(PropertyAccessor.ALL, JsonAutoDetect.Visibility.NONE); + MAPPER.setVisibility(PropertyAccessor.FIELD, JsonAutoDetect.Visibility.ANY); + + // register custom de-/serializers + MODULE.addSerializer(Tree.class, new TreeSerializer()); + MODULE.addDeserializer(Tree.class, new TreeDeserializer()); + + MAPPER.registerModule(MODULE); + } + + public static T deserializeFromJSON(String json, Class clazz) throws IOException { + return MAPPER.readValue(json, clazz); + } + + public static T deserializeFromJSON(File file, Class clazz) throws IOException { + return MAPPER.readValue(file, clazz); + } + + public String prettyPrintJSON() throws JsonProcessingException { + return MAPPER.writerWithDefaultPrettyPrinter().writeValueAsString(this); + } + + public String serializeToJSON() throws JsonProcessingException { + return MAPPER.writeValueAsString(this); + } + + public void serializeToJSON(File file) throws IOException { + MAPPER.writeValue(file, this); + } +} diff --git a/src/main/java/org/lambda3/text/simplification/discourse/model/Element.java b/src/main/java/org/lambda3/text/simplification/discourse/model/Element.java new file mode 100644 index 0000000..1b18620 --- /dev/null +++ b/src/main/java/org/lambda3/text/simplification/discourse/model/Element.java @@ -0,0 +1,120 @@ +/* + * ==========================License-Start============================= + * DiscourseSimplification : Element + * + * Copyright © 2017 Lambda³ + * + * GNU General Public License 3 + * This program is free software: you can redistribute it and/or modify + * it under the terms of the GNU General Public License as published by + * the Free Software Foundation, either version 3 of the License, or + * (at your option) any later version. + * + * This program is distributed in the hope that it will be useful, + * but WITHOUT ANY WARRANTY; without even the implied warranty of + * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + * GNU General Public License for more details. + * + * You should have received a copy of the GNU General Public License + * along with this program. If not, see http://www.gnu.org/licenses/. + * ==========================License-End============================== + */ + +package org.lambda3.text.simplification.discourse.model; + +import com.fasterxml.jackson.annotation.JsonIgnoreProperties; +import com.fasterxml.jackson.annotation.JsonProperty; +import edu.stanford.nlp.trees.Tree; +import org.lambda3.text.simplification.discourse.utils.IDGenerator; +import org.lambda3.text.simplification.discourse.utils.parseTree.ParseTreeException; +import org.lambda3.text.simplification.discourse.utils.parseTree.ParseTreeExtractionUtils; +import org.lambda3.text.simplification.discourse.utils.parseTree.ParseTreeParser; +import org.lambda3.text.simplification.discourse.utils.words.WordsUtils; + +import java.util.ArrayList; +import java.util.List; + +/** + * + */ +@JsonIgnoreProperties(ignoreUnknown = true) +public class Element { + private String id; + private Tree parseTree; + private int sentenceIdx; + private int contextLayer; + private List simpleContexts; + private List linkedContexts; + + // for deserialization + public Element() { + } + + public Element(Tree parseTree, int sentenceIdx, int contextLayer) { + this.id = IDGenerator.generateUUID(); + this.parseTree = parseTree; + this.sentenceIdx = sentenceIdx; + this.contextLayer = contextLayer; + this.simpleContexts = new ArrayList<>(); + this.linkedContexts = new ArrayList<>(); + } + + // not efficient -> prefer to use constructor with tree + public Element(String text, int sentenceIdx, int contextLayer) throws ParseTreeException { + this(ParseTreeParser.parse(text), sentenceIdx, contextLayer); + } + + public void addLinkedContext(LinkedContext context) { + if (!linkedContexts.contains(context)) { + linkedContexts.add(context); + } + } + + public void addSimpleContext(SimpleContext context) { + if (!simpleContexts.contains(context)) { + simpleContexts.add(context); + } + } + + public String getId() { + return id; + } + + public Tree getParseTree() { + return parseTree; + } + + public void setParseTree(Tree parseTree) { + this.parseTree = parseTree; + } + + @JsonProperty("text") + public String getText() { + return WordsUtils.wordsToString(ParseTreeExtractionUtils.getContainingWords(parseTree)); + } + + public int getSentenceIdx() { + return sentenceIdx; + } + + public int getContextLayer() { + return contextLayer; + } + + public List getSimpleContexts() { + return simpleContexts; + } + + public List getLinkedContexts() { + return linkedContexts; + } + + @Override + public String toString() { + StringBuilder strb = new StringBuilder(); + strb.append(id + " " + contextLayer + " " + getText() + "\n"); + getSimpleContexts().forEach(c -> strb.append("\tS:" + c.getRelation() + " " + c.getText() + "\n")); + getLinkedContexts().forEach(c -> strb.append("\tL:" + c.getRelation() + " " + c.getTargetID() + "\n")); + return strb.toString(); + } +} diff --git a/src/main/java/org/lambda3/text/simplification/discourse/model/LinkedContext.java b/src/main/java/org/lambda3/text/simplification/discourse/model/LinkedContext.java new file mode 100644 index 0000000..1f3741d --- /dev/null +++ b/src/main/java/org/lambda3/text/simplification/discourse/model/LinkedContext.java @@ -0,0 +1,58 @@ +/* + * ==========================License-Start============================= + * DiscourseSimplification : LinkedContext + * + * Copyright © 2017 Lambda³ + * + * GNU General Public License 3 + * This program is free software: you can redistribute it and/or modify + * it under the terms of the GNU General Public License as published by + * the Free Software Foundation, either version 3 of the License, or + * (at your option) any later version. + * + * This program is distributed in the hope that it will be useful, + * but WITHOUT ANY WARRANTY; without even the implied warranty of + * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + * GNU General Public License for more details. + * + * You should have received a copy of the GNU General Public License + * along with this program. If not, see http://www.gnu.org/licenses/. + * ==========================License-End============================== + */ + +package org.lambda3.text.simplification.discourse.model; + +import org.lambda3.text.simplification.discourse.runner.discourse_tree.Relation; + +public class LinkedContext { + private String targetID; + private Relation relation; + + // for deserialization + public LinkedContext() { + } + + public LinkedContext(String targetID, Relation relation) { + this.targetID = targetID; + this.relation = relation; + } + + public String getTargetID() { + return targetID; + } + + public Element getTargetElement(SimplificationContent content) { + return content.getElement(targetID); + } + + public Relation getRelation() { + return relation; + } + + @Override + public boolean equals(Object o) { + return ((o instanceof LinkedContext) + && (((LinkedContext) o).targetID.equals(targetID)) + && (((LinkedContext) o).relation.equals(relation))); + } +} diff --git a/src/main/java/org/lambda3/text/simplification/discourse/model/OutSentence.java b/src/main/java/org/lambda3/text/simplification/discourse/model/OutSentence.java new file mode 100644 index 0000000..824cca0 --- /dev/null +++ b/src/main/java/org/lambda3/text/simplification/discourse/model/OutSentence.java @@ -0,0 +1,78 @@ +/* + * ==========================License-Start============================= + * DiscourseSimplification : OutSentence + * + * Copyright © 2017 Lambda³ + * + * GNU General Public License 3 + * This program is free software: you can redistribute it and/or modify + * it under the terms of the GNU General Public License as published by + * the Free Software Foundation, either version 3 of the License, or + * (at your option) any later version. + * + * This program is distributed in the hope that it will be useful, + * but WITHOUT ANY WARRANTY; without even the implied warranty of + * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + * GNU General Public License for more details. + * + * You should have received a copy of the GNU General Public License + * along with this program. If not, see http://www.gnu.org/licenses/. + * ==========================License-End============================== + */ + +package org.lambda3.text.simplification.discourse.model; + +import java.util.HashMap; +import java.util.LinkedHashMap; +import java.util.List; +import java.util.stream.Collectors; + +/** + * + */ +public class OutSentence { + private int sentenceIdx; + private String originalSentence; + private HashMap elementMap; // all extractions extracted from this sentence + + // for deserialization + public OutSentence() { + } + + public OutSentence(int sentenceIdx,String originalSentence) { + this.sentenceIdx = sentenceIdx; + this.originalSentence = originalSentence; + this.elementMap = new LinkedHashMap<>(); + } + + public void addElement(Element element) { + if (sentenceIdx != element.getSentenceIdx()) { + throw new AssertionError("Element should not be added to this sentence"); + } + elementMap.putIfAbsent(element.getId(), element); + } + + public int getSentenceIdx() { + return sentenceIdx; + } + + public String getOriginalSentence() { + return originalSentence; + } + + public Element getElement(String id) { + return elementMap.getOrDefault(id, null); + } + + public List getElements() { + return elementMap.values().stream().collect(Collectors.toList()); + } + + @Override + public String toString() { + StringBuilder strb = new StringBuilder(); + strb.append("# " + originalSentence + "\n"); + getElements().forEach(e -> strb.append("\n" + e)); + return strb.toString(); + } +} diff --git a/src/main/java/org/lambda3/text/simplification/discourse/model/SimpleContext.java b/src/main/java/org/lambda3/text/simplification/discourse/model/SimpleContext.java new file mode 100644 index 0000000..b79f832 --- /dev/null +++ b/src/main/java/org/lambda3/text/simplification/discourse/model/SimpleContext.java @@ -0,0 +1,130 @@ +/* + * ==========================License-Start============================= + * DiscourseSimplification : SimpleContext + * + * Copyright © 2017 Lambda³ + * + * GNU General Public License 3 + * This program is free software: you can redistribute it and/or modify + * it under the terms of the GNU General Public License as published by + * the Free Software Foundation, either version 3 of the License, or + * (at your option) any later version. + * + * This program is distributed in the hope that it will be useful, + * but WITHOUT ANY WARRANTY; without even the implied warranty of + * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + * GNU General Public License for more details. + * + * You should have received a copy of the GNU General Public License + * along with this program. If not, see http://www.gnu.org/licenses/. + * ==========================License-End============================== + */ + +package org.lambda3.text.simplification.discourse.model; + +import com.fasterxml.jackson.annotation.JsonIgnoreProperties; +import com.fasterxml.jackson.annotation.JsonProperty; +import edu.stanford.nlp.trees.Tree; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.Relation; +import org.lambda3.text.simplification.discourse.utils.parseTree.ParseTreeException; +import org.lambda3.text.simplification.discourse.utils.parseTree.ParseTreeExtractionUtils; +import org.lambda3.text.simplification.discourse.utils.parseTree.ParseTreeParser; +import org.lambda3.text.simplification.discourse.utils.words.WordsUtils; + +import java.util.Optional; +import java.util.regex.Matcher; +import java.util.regex.Pattern; + +@JsonIgnoreProperties(ignoreUnknown = true) +public class SimpleContext { + private static final Pattern PHRASE_PATTERN = Pattern.compile("^\\W*this\\W+\\w+\\W+(?.*\\w+.*)$", Pattern.CASE_INSENSITIVE); + private static final Pattern ATTRIBUTION_PHRASE_PATTERN = Pattern.compile("^\\W*this\\W+\\w+\\W+what\\W+(?.*\\w+.*)$", Pattern.CASE_INSENSITIVE); + + private Tree parseTree; + private Tree phrase; + private Relation relation; + private TimeInformation timeInformation; // optional + + // for deserialization + public SimpleContext() { + } + + public SimpleContext(Tree parseTree) { + this.parseTree = parseTree; + this.relation = Relation.UNKNOWN; + this.timeInformation = null; + extractPhrase(); + } + + // not efficient -> prefer to use constructor with tree + public SimpleContext(String text) throws ParseTreeException { + this(ParseTreeParser.parse(text)); + } + + public Tree getParseTree() { + return parseTree; + } + + public void setParseTree(Tree parseTree) { + this.parseTree = parseTree; + extractPhrase(); + } + + private void extractPhrase() { + this.phrase = parseTree; + + boolean matched = false; + if (relation.equals(Relation.ATTRIBUTION)) { + Matcher matcher = ATTRIBUTION_PHRASE_PATTERN.matcher(getText()); + if (matcher.matches()) { + try { + this.phrase = ParseTreeParser.parse(matcher.group("phrase")); + matched = true; + } catch (ParseTreeException e) {} + } + } else { + Matcher matcher = PHRASE_PATTERN.matcher(getText()); + if (matcher.matches()) { + try { + this.phrase = ParseTreeParser.parse(matcher.group("phrase")); + matched = true; + } catch (ParseTreeException e) {} + } + } + + if (!matched) { + this.relation = Relation.NOUN_BASED; + } + } + + public Tree getPhrase() { + return phrase; + } + + @JsonProperty("text") + public String getText() { + return WordsUtils.wordsToString(ParseTreeExtractionUtils.getContainingWords(parseTree)); + } + + @JsonProperty("phraseText") + public String getPhraseText() { + return WordsUtils.wordsToString(ParseTreeExtractionUtils.getContainingWords(phrase)); + } + + public void setRelation(Relation relation) { + this.relation = relation; + extractPhrase(); + } + + public Relation getRelation() { + return relation; + } + + public void setTimeInformation(TimeInformation timeInformation) { + this.timeInformation = timeInformation; + } + + public Optional getTimeInformation() { + return Optional.ofNullable(timeInformation); + } +} diff --git a/src/main/java/org/lambda3/text/simplification/discourse/model/SimplificationContent.java b/src/main/java/org/lambda3/text/simplification/discourse/model/SimplificationContent.java new file mode 100644 index 0000000..46d8a99 --- /dev/null +++ b/src/main/java/org/lambda3/text/simplification/discourse/model/SimplificationContent.java @@ -0,0 +1,115 @@ +/* + * ==========================License-Start============================= + * DiscourseSimplification : SimplificationContent + * + * Copyright © 2017 Lambda³ + * + * GNU General Public License 3 + * This program is free software: you can redistribute it and/or modify + * it under the terms of the GNU General Public License as published by + * the Free Software Foundation, either version 3 of the License, or + * (at your option) any later version. + * + * This program is distributed in the hope that it will be useful, + * but WITHOUT ANY WARRANTY; without even the implied warranty of + * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + * GNU General Public License for more details. + * + * You should have received a copy of the GNU General Public License + * along with this program. If not, see http://www.gnu.org/licenses/. + * ==========================License-End============================== + */ + +package org.lambda3.text.simplification.discourse.model; + +import java.util.ArrayList; +import java.util.List; +import java.util.stream.Collectors; + +public class SimplificationContent extends Content { + private List sentences; + + // for deserialization + public SimplificationContent() { + this.sentences = new ArrayList<>(); + } + + public void addSentence(OutSentence sentence) { + this.sentences.add(sentence); + } + + public void addElement(Element element) { + sentences.get(element.getSentenceIdx()).addElement(element); + } + + public List getSentences() { + return sentences; + } + + public Element getElement(String id) { + for (OutSentence sentence : sentences) { + Element e = sentence.getElement(id); + if (e != null) { + return e; + } + } + + return null; + } + + public List getElements() { + List res = new ArrayList<>(); + sentences.forEach(s -> res.addAll(s.getElements())); + + return res; + } + + public String defaultFormat(boolean resolve) { + StringBuilder strb = new StringBuilder(); + for (OutSentence outSentence : getSentences()) { + strb.append("\n# " + outSentence.getOriginalSentence() + "\n"); + for (Element element : outSentence.getElements()) { + strb.append("\n" + element.getId() + "\t" + element.getContextLayer() + "\t" + element.getText() + "\n"); + for (SimpleContext simpleContext : element.getSimpleContexts()) { + strb.append("\t" + "S:" + simpleContext.getRelation() + "\t" + simpleContext.getText() + "\n"); + } + for (LinkedContext linkedContext : element.getLinkedContexts()) { + if (resolve) { + strb.append("\t" + "L:" + linkedContext.getRelation() + "\t" + getElement(linkedContext.getTargetID()).getText() + "\n"); + } else { + strb.append("\t" + "L:" + linkedContext.getRelation() + "\t" + linkedContext.getTargetID() + "\n"); + } + } + } + } + + return strb.toString(); + } + + public String flatFormat(boolean resolve) { + StringBuilder strb = new StringBuilder(); + for (OutSentence outSentence : getSentences()) { + for (Element element : outSentence.getElements()) { + strb.append(outSentence.getOriginalSentence() + "\t" + element.getId() + "\t" + element.getContextLayer() + "\t" + element.getText()); + for (SimpleContext simpleContext : element.getSimpleContexts()) { + strb.append("\t" + "S:" + simpleContext.getRelation() + "(" + simpleContext.getText() + ")"); + } + for (LinkedContext linkedContext : element.getLinkedContexts()) { + if (resolve) { + strb.append("\t" + "L:" + linkedContext.getRelation() + "(" + getElement(linkedContext.getTargetID()).getText() + ")"); + } else { + strb.append("\t" + "L:" + linkedContext.getRelation() + "(" + linkedContext.getTargetID() + ")"); + } + } + strb.append("\n"); + } + } + + return strb.toString(); + } + + @Override + public String toString() { + return getSentences().stream().map(s -> s.toString()).collect(Collectors.joining("\n")); + } +} diff --git a/src/main/java/org/lambda3/text/simplification/discourse/model/TimeInformation.java b/src/main/java/org/lambda3/text/simplification/discourse/model/TimeInformation.java new file mode 100644 index 0000000..f459dbf --- /dev/null +++ b/src/main/java/org/lambda3/text/simplification/discourse/model/TimeInformation.java @@ -0,0 +1,39 @@ +/* + * ==========================License-Start============================= + * DiscourseSimplification : TimeInformation + * + * Copyright © 2017 Lambda³ + * + * GNU General Public License 3 + * This program is free software: you can redistribute it and/or modify + * it under the terms of the GNU General Public License as published by + * the Free Software Foundation, either version 3 of the License, or + * (at your option) any later version. + * + * This program is distributed in the hope that it will be useful, + * but WITHOUT ANY WARRANTY; without even the implied warranty of + * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + * GNU General Public License for more details. + * + * You should have received a copy of the GNU General Public License + * along with this program. If not, see http://www.gnu.org/licenses/. + * ==========================License-End============================== + */ + +package org.lambda3.text.simplification.discourse.model; + +public class TimeInformation { + private String value; + + // for deserialization + public TimeInformation() { + } + + public TimeInformation(String value) { + this.value = value; + } + + public String getValue() { + return value; + } +} diff --git a/src/main/java/org/lambda3/text/simplification/discourse/model/serializer/TreeDeserializer.java b/src/main/java/org/lambda3/text/simplification/discourse/model/serializer/TreeDeserializer.java new file mode 100644 index 0000000..2ea8e59 --- /dev/null +++ b/src/main/java/org/lambda3/text/simplification/discourse/model/serializer/TreeDeserializer.java @@ -0,0 +1,53 @@ +/* + * ==========================License-Start============================= + * DiscourseSimplification : TreeDeSerializer + * + * Copyright © 2017 Lambda³ + * + * GNU General Public License 3 + * This program is free software: you can redistribute it and/or modify + * it under the terms of the GNU General Public License as published by + * the Free Software Foundation, either version 3 of the License, or + * (at your option) any later version. + * + * This program is distributed in the hope that it will be useful, + * but WITHOUT ANY WARRANTY; without even the implied warranty of + * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + * GNU General Public License for more details. + * + * You should have received a copy of the GNU General Public License + * along with this program. If not, see http://www.gnu.org/licenses/. + * ==========================License-End============================== + */ + +package org.lambda3.text.simplification.discourse.model.serializer; + +import com.fasterxml.jackson.core.JsonParser; +import com.fasterxml.jackson.core.JsonProcessingException; +import com.fasterxml.jackson.databind.DeserializationContext; +import com.fasterxml.jackson.databind.deser.std.StdDeserializer; +import edu.stanford.nlp.trees.PennTreeReader; +import edu.stanford.nlp.trees.Tree; + +import java.io.IOException; +import java.io.StringReader; + +/** + * + */ +public class TreeDeserializer extends StdDeserializer { + + public TreeDeserializer() { + this(null); + } + + protected TreeDeserializer(Class vc) { + super(vc); + } + + @Override + public Tree deserialize(JsonParser p, DeserializationContext ctxt) throws IOException, JsonProcessingException { + String pennString = p.getValueAsString(); + return new PennTreeReader(new StringReader(pennString)).readTree(); + } +} diff --git a/src/main/java/org/lambda3/text/simplification/discourse/model/serializer/TreeSerializer.java b/src/main/java/org/lambda3/text/simplification/discourse/model/serializer/TreeSerializer.java new file mode 100644 index 0000000..c411c12 --- /dev/null +++ b/src/main/java/org/lambda3/text/simplification/discourse/model/serializer/TreeSerializer.java @@ -0,0 +1,49 @@ +/* + * ==========================License-Start============================= + * DiscourseSimplification : TreeSerializer + * + * Copyright © 2017 Lambda³ + * + * GNU General Public License 3 + * This program is free software: you can redistribute it and/or modify + * it under the terms of the GNU General Public License as published by + * the Free Software Foundation, either version 3 of the License, or + * (at your option) any later version. + * + * This program is distributed in the hope that it will be useful, + * but WITHOUT ANY WARRANTY; without even the implied warranty of + * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + * GNU General Public License for more details. + * + * You should have received a copy of the GNU General Public License + * along with this program. If not, see http://www.gnu.org/licenses/. + * ==========================License-End============================== + */ + +package org.lambda3.text.simplification.discourse.model.serializer; + +import com.fasterxml.jackson.core.JsonGenerator; +import com.fasterxml.jackson.databind.SerializerProvider; +import com.fasterxml.jackson.databind.ser.std.StdSerializer; +import edu.stanford.nlp.trees.Tree; + +import java.io.IOException; + +/** + * + */ +public class TreeSerializer extends StdSerializer { + + public TreeSerializer() { + this(null); + } + + protected TreeSerializer(Class t) { + super(t); + } + + @Override + public void serialize(Tree value, JsonGenerator gen, SerializerProvider provider) throws IOException { + gen.writeString(value.pennString().trim().replaceAll("\\s+", " ").replaceAll("[\\n\\t]", "")); + } +} diff --git a/src/main/java/org/lambda3/text/simplification/discourse/processing/DiscourseSimplifier.java b/src/main/java/org/lambda3/text/simplification/discourse/processing/DiscourseSimplifier.java new file mode 100644 index 0000000..0d23348 --- /dev/null +++ b/src/main/java/org/lambda3/text/simplification/discourse/processing/DiscourseSimplifier.java @@ -0,0 +1,197 @@ +/* + * ==========================License-Start============================= + * DiscourseSimplification : DiscourseSimplifier + * + * Copyright © 2017 Lambda³ + * + * GNU General Public License 3 + * This program is free software: you can redistribute it and/or modify + * it under the terms of the GNU General Public License as published by + * the Free Software Foundation, either version 3 of the License, or + * (at your option) any later version. + * + * This program is distributed in the hope that it will be useful, + * but WITHOUT ANY WARRANTY; without even the implied warranty of + * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + * GNU General Public License for more details. + * + * You should have received a copy of the GNU General Public License + * along with this program. If not, see http://www.gnu.org/licenses/. + * ==========================License-End============================== + */ + +package org.lambda3.text.simplification.discourse.processing; + +import com.typesafe.config.Config; +import com.typesafe.config.ConfigFactory; +import org.lambda3.text.simplification.discourse.model.Element; +import org.lambda3.text.simplification.discourse.model.OutSentence; +import org.lambda3.text.simplification.discourse.model.SimplificationContent; +import org.lambda3.text.simplification.discourse.runner.discourse_extraction.DiscourseExtractor; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.DiscourseTreeCreator; +import org.lambda3.text.simplification.discourse.runner.sentence_simplification.SentenceSimplifier; +import org.lambda3.text.simplification.discourse.utils.ConfigUtils; +import org.lambda3.text.simplification.discourse.utils.parseTree.ParseTreeException; +import org.lambda3.text.simplification.discourse.utils.sentences.SentencesUtils; +import org.slf4j.Logger; +import org.slf4j.LoggerFactory; + +import java.io.File; +import java.io.IOException; +import java.util.List; +import java.util.Optional; + +/** + * + */ +public class DiscourseSimplifier { + private final DiscourseTreeCreator discourseTreeCreator; + private final DiscourseExtractor discourseExtractor; + private final SentenceSimplifier sentenceSimplifier; + private final boolean withSentenceSimplification; + + private final Logger logger = LoggerFactory.getLogger(getClass()); + + public DiscourseSimplifier(Config config) { + SentencePreprocessor preprocessor = new SentencePreprocessor(config); + this.discourseTreeCreator = new DiscourseTreeCreator(config, preprocessor); + this.discourseExtractor = new DiscourseExtractor(config); + this.sentenceSimplifier = new SentenceSimplifier(config); + + this.withSentenceSimplification = config.getBoolean("with-sentence-simplification"); + + logger.debug("DiscourseSimplifier initialized"); + logger.debug("\n{}", ConfigUtils.prettyPrint(config)); + } + + public DiscourseSimplifier() { + this(ConfigFactory.load().getConfig("discourse-simplification")); + } + + public SimplificationContent doDiscourseSimplification(File file, ProcessingType type) throws IOException { + return doDiscourseSimplification(file, type, false); + } + + public SimplificationContent doDiscourseSimplification(File file, ProcessingType type, boolean separateLines) throws IOException { + List sentences = SentencesUtils.splitIntoSentencesFromFile(file, separateLines); + return doDiscourseSimplification(sentences, type); + } + + public SimplificationContent doDiscourseSimplification(String text, ProcessingType type) { + List sentences = SentencesUtils.splitIntoSentences(text); + return doDiscourseSimplification(sentences, type); + } + + public SimplificationContent doDiscourseSimplification(List sentences, ProcessingType type) { + if (type.equals(ProcessingType.SEPARATE)) { + return processSeparate(sentences); + } else if (type.equals(ProcessingType.WHOLE)) { + return processWhole(sentences); + } else { + throw new IllegalArgumentException("Unknown ProcessingType."); + } + } + + // creates one discourse discourse_tree over all sentences (investigates intra-sentential and inter-sentential relations) + private SimplificationContent processWhole(List sentences) { + SimplificationContent content = new SimplificationContent(); + + // Step 1) create document discourse discourse_tree + logger.info("### STEP 1) CREATE DOCUMENT DISCOURSE TREE ###"); + discourseTreeCreator.reset(); + int idx = 0; + for (String sentence : sentences) { + logger.info("# Processing sentence {}/{} #", (idx + 1), sentences.size()); + logger.info("'" + sentence + "'"); + + content.addSentence(new OutSentence(idx, sentence)); + + // extend discourse discourse_tree + try { + discourseTreeCreator.addSentence(sentence, idx); + discourseTreeCreator.update(); + if (logger.isDebugEnabled()) { + + Optional.ofNullable(discourseTreeCreator.getLastSentenceTree()) + .ifPresent(t -> logger.debug(t.toString())); + +// logger.debug(discourseTreeCreator.getDiscourseTree().toString()); // to show the current document discourse discourse_tree + } + } catch (ParseTreeException e) { + logger.error("Failed to process sentence: {}", sentence); + } + + ++idx; + } + + // Step 2) do discourse extraction + logger.info("### STEP 2) DO DISCOURSE EXTRACTION ###"); + List elements = discourseExtractor.doDiscourseExtraction(discourseTreeCreator.getDiscourseTree()); + elements.forEach(e -> content.addElement(e)); + if (logger.isDebugEnabled()) { + logger.debug(content.toString()); + } + + // Step 3) do sentence simplification + logger.info("### STEP 3) DO SENTENCE SIMPLIFICATION ###"); + if (withSentenceSimplification) { + content.getSentences().forEach(s -> sentenceSimplifier.doSentenceSimplification(s)); + if (logger.isDebugEnabled()) { + logger.debug(content.toString()); + } + } else { + logger.info("DEACTIVATED"); + } + + logger.info("### FINISHED"); + return content; + } + + // creates discourse trees for each individual sentence (investigates intra-sentential relations only) + private SimplificationContent processSeparate(List sentences) { + SimplificationContent content = new SimplificationContent(); + + int idx = 0; + for (String sentence : sentences) { + OutSentence outSentence = new OutSentence(idx, sentence); + + logger.info("# Processing sentence {}/{} #", (idx + 1), sentences.size()); + logger.info("'" + sentence + "'"); + + // Step 1) create sentence discourse tree + logger.debug("### Step 1) CREATE SENTENCE DISCOURSE TREE ###"); + discourseTreeCreator.reset(); + try { + discourseTreeCreator.addSentence(sentence, idx); + discourseTreeCreator.update(); + if (logger.isDebugEnabled()) { + logger.debug(discourseTreeCreator.getDiscourseTree().toString()); + } + + // Step 2) do discourse extraction + logger.debug("### STEP 2) DO DISCOURSE EXTRACTION ###"); + List elements = discourseExtractor.doDiscourseExtraction(discourseTreeCreator.getDiscourseTree()); + elements.forEach(e -> outSentence.addElement(e)); + logger.debug(outSentence.toString()); + + // Step 3) do sentence simplification + logger.debug("### STEP 3) DO SENTENCE SIMPLIFICATION ###"); + if (withSentenceSimplification) { + sentenceSimplifier.doSentenceSimplification(outSentence); + logger.debug(outSentence.toString()); + } else { + logger.info("DEACTIVATED"); + } + } catch (ParseTreeException e) { + logger.error("Failed to process sentence: {}", sentence); + } + + content.addSentence(outSentence); + + ++idx; + } + + logger.info("### FINISHED"); + return content; + } +} diff --git a/src/main/java/org/lambda3/text/simplification/discourse/processing/ExtendedDiscourseSimplifier.java b/src/main/java/org/lambda3/text/simplification/discourse/processing/ExtendedDiscourseSimplifier.java new file mode 100644 index 0000000..e1a30a5 --- /dev/null +++ b/src/main/java/org/lambda3/text/simplification/discourse/processing/ExtendedDiscourseSimplifier.java @@ -0,0 +1,85 @@ +/* + * ==========================License-Start============================= + * DiscourseSimplification : ExtendedDiscourseSimplifier + * + * Copyright © 2017 Lambda³ + * + * GNU General Public License 3 + * This program is free software: you can redistribute it and/or modify + * it under the terms of the GNU General Public License as published by + * the Free Software Foundation, either version 3 of the License, or + * (at your option) any later version. + * + * This program is distributed in the hope that it will be useful, + * but WITHOUT ANY WARRANTY; without even the implied warranty of + * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + * GNU General Public License for more details. + * + * You should have received a copy of the GNU General Public License + * along with this program. If not, see http://www.gnu.org/licenses/. + * ==========================License-End============================== + */ + +package org.lambda3.text.simplification.discourse.processing; + +import org.lambda3.text.simplification.discourse.model.SimplificationContent; +import org.lambda3.text.simplification.discourse.utils.sentences.SentencesUtils; +import org.slf4j.Logger; +import org.slf4j.LoggerFactory; + +import java.io.File; +import java.io.FileNotFoundException; +import java.io.IOException; +import java.util.ArrayList; +import java.util.Collections; +import java.util.List; +import java.util.stream.Collectors; + +/** + * + */ +public class ExtendedDiscourseSimplifier extends DiscourseSimplifier { + private final Logger logger = LoggerFactory.getLogger(getClass()); + + public static List filterSentences(List sentences, boolean shuffleSentences, Integer maxSentenceLength, Integer maxSentences) { + + // select sentences to doDiscourseSimplification + List res = new ArrayList<>(); + res.addAll(sentences); + + // shuffle + if (shuffleSentences) { + Collections.shuffle(res); + } + + // remove too long sentences + if (maxSentenceLength != null) { + res = res.stream().filter(s -> s.length() <= maxSentenceLength).collect(Collectors.toList()); + } + + // limit number of sentences + if (maxSentences != null) { + if (res.size() > maxSentences) { + res = res.subList(0, maxSentences); + } + } + + return res; + } + + public SimplificationContent process(File file, ProcessingType type, boolean shuffleSentences, Integer maxSentenceLength, Integer maxSentences) throws IOException { + return process(file, type, shuffleSentences, maxSentenceLength, maxSentences, false); + } + + public SimplificationContent process(File file, ProcessingType type, boolean shuffleSentences, Integer maxSentenceLength, Integer maxSentences, boolean separateLines) throws IOException { + return process(SentencesUtils.splitIntoSentencesFromFile(file, separateLines), type, shuffleSentences, maxSentenceLength, maxSentences); + } + + public SimplificationContent process(String text, ProcessingType type, boolean shuffleSentences, Integer maxSentenceLength, Integer maxSentences) { + return process(SentencesUtils.splitIntoSentences(text), type, shuffleSentences, maxSentenceLength, maxSentences); + } + + public SimplificationContent process(List sentences, ProcessingType type, boolean shuffleSentences, Integer maxSentenceLength, Integer maxSentences) { + return doDiscourseSimplification(filterSentences(sentences, shuffleSentences, maxSentenceLength, maxSentences), type); + } +} diff --git a/src/main/java/org/lambda3/text/simplification/discourse/processing/ProcessingType.java b/src/main/java/org/lambda3/text/simplification/discourse/processing/ProcessingType.java new file mode 100644 index 0000000..86b7b64 --- /dev/null +++ b/src/main/java/org/lambda3/text/simplification/discourse/processing/ProcessingType.java @@ -0,0 +1,31 @@ +/* + * ==========================License-Start============================= + * DiscourseSimplification : ProcessingType + * + * Copyright © 2017 Lambda³ + * + * GNU General Public License 3 + * This program is free software: you can redistribute it and/or modify + * it under the terms of the GNU General Public License as published by + * the Free Software Foundation, either version 3 of the License, or + * (at your option) any later version. + * + * This program is distributed in the hope that it will be useful, + * but WITHOUT ANY WARRANTY; without even the implied warranty of + * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + * GNU General Public License for more details. + * + * You should have received a copy of the GNU General Public License + * along with this program. If not, see http://www.gnu.org/licenses/. + * ==========================License-End============================== + */ + +package org.lambda3.text.simplification.discourse.processing; + +/** + * + */ +public enum ProcessingType { + SEPARATE, + WHOLE +} diff --git a/src/main/java/org/lambda3/text/simplification/discourse/processing/SentencePreprocessor.java b/src/main/java/org/lambda3/text/simplification/discourse/processing/SentencePreprocessor.java new file mode 100644 index 0000000..82b7d1a --- /dev/null +++ b/src/main/java/org/lambda3/text/simplification/discourse/processing/SentencePreprocessor.java @@ -0,0 +1,65 @@ +/* + * ==========================License-Start============================= + * DiscourseSimplification : SentencePreprocessor + * + * Copyright © 2018 Lambda³ + * + * GNU General Public License 3 + * This program is free software: you can redistribute it and/or modify + * it under the terms of the GNU General Public License as published by + * the Free Software Foundation, either version 3 of the License, or + * (at your option) any later version. + * + * This program is distributed in the hope that it will be useful, + * but WITHOUT ANY WARRANTY; without even the implied warranty of + * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + * GNU General Public License for more details. + * + * You should have received a copy of the GNU General Public License + * along with this program. If not, see http://www.gnu.org/licenses/. + * ==========================License-End============================== + */ + +package org.lambda3.text.simplification.discourse.processing; + +import com.typesafe.config.Config; +import edu.stanford.nlp.simple.Sentence; + +public class SentencePreprocessor { + private static String ROUND_BRACKET_PATTERN = "\\([^\\(\\)]*?\\)"; + private static String SQUARE_BRACKET_PATTERN = "\\[[^\\[\\]]*?\\]"; + private static String CURLY_BRACKET_PATTERN = "\\{[^\\{\\}]*?\\}"; + + private static String ROUND_BRACKET_PATTERN2 = "-LRB-((?!-LRB-|-RRB-).)*?-RRB-"; + private static String SQUARE_BRACKET_PATTERN2 = "-LSB-((?!-LSB-|-RSB-).)*?-RSB-"; + private static String CURLY_BRACKET_PATTERN2 = "-LCB-((?!-LCB-|-RCB-).)*?-RCB-"; + + + private static String WHITESPACE_PATTERN = "\\s+"; + + public boolean removeBrackets; + + public SentencePreprocessor(Config config) { + this.removeBrackets = config.getBoolean("remove-brackets"); + } + + public void setRemoveBrackets(boolean removeBrackets) { + this.removeBrackets = removeBrackets; + } + + public String preprocessSentence(String sentence) { + String res = sentence; + + if (removeBrackets) { + res = sentence.replaceAll(ROUND_BRACKET_PATTERN, "") + .replaceAll(SQUARE_BRACKET_PATTERN, "") + .replaceAll(CURLY_BRACKET_PATTERN, "") + .replaceAll(ROUND_BRACKET_PATTERN2, "") + .replaceAll(SQUARE_BRACKET_PATTERN2, "") + .replaceAll(CURLY_BRACKET_PATTERN2, ""); + } + + res = res.replaceAll(WHITESPACE_PATTERN, " "); + return res; + } +} diff --git a/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_extraction/DiscourseExtractor.java b/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_extraction/DiscourseExtractor.java new file mode 100644 index 0000000..ddcf0da --- /dev/null +++ b/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_extraction/DiscourseExtractor.java @@ -0,0 +1,172 @@ +/* + * ==========================License-Start============================= + * DiscourseExtraction : DiscourseExtractor + * + * Copyright © 2017 Lambda³ + * + * GNU General Public License 3 + * This program is free software: you can redistribute it and/or modify + * it under the terms of the GNU General Public License as published by + * the Free Software Foundation, either version 3 of the License, or + * (at your option) any later version. + * + * This program is distributed in the hope that it will be useful, + * but WITHOUT ANY WARRANTY; without even the implied warranty of + * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + * GNU General Public License for more details. + * + * You should have received a copy of the GNU General Public License + * along with this program. If not, see http://www.gnu.org/licenses/. + * ==========================License-End============================== + */ + +package org.lambda3.text.simplification.discourse.runner.discourse_extraction; + +import com.typesafe.config.Config; +import com.typesafe.config.ConfigException; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.Relation; +import org.lambda3.text.simplification.discourse.model.Element; +import org.lambda3.text.simplification.discourse.model.LinkedContext; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.model.Coordination; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.model.DiscourseTree; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.model.Leaf; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.model.Subordination; +import org.lambda3.text.simplification.discourse.model.SimpleContext; +import org.slf4j.Logger; +import org.slf4j.LoggerFactory; + +import java.util.ArrayList; +import java.util.LinkedHashMap; +import java.util.List; +import java.util.stream.Collectors; + +/** + * + */ +public class DiscourseExtractor { + private final Logger logger = LoggerFactory.getLogger(getClass()); + private final List ignoredRelations; + + private final Config config; + private LinkedHashMap processedLeaves; + + public DiscourseExtractor(Config config) { + this.config = config; + + // create ignored relations from config + this.ignoredRelations = new ArrayList<>(); + for (String valueName : this.config.getStringList("ignored-relations")) { + try { + Relation relation = Relation.valueOf(valueName); + ignoredRelations.add(relation); + } catch (IllegalArgumentException e) { + logger.error("Failed to create enum value of {}", valueName); + throw new ConfigException.BadValue("ignored-relations." + valueName, "Failed to create enum value."); + } + } + + this.processedLeaves = new LinkedHashMap(); + } + + public List doDiscourseExtraction(DiscourseTree discourseTree) { + this.processedLeaves = new LinkedHashMap(); + + extractRec(discourseTree, 0); + + return processedLeaves.values().stream().collect(Collectors.toList()); + } + + private void addAsContext(Leaf leaf, Leaf targetLeaf, Relation targetRelation) { + if (leaf.isToSimpleContext()) { + return; + } + Element leafElement = processedLeaves.get(leaf); + + if (targetLeaf.isToSimpleContext()) { + // simple context + SimpleContext sc = new SimpleContext(targetLeaf.getParseTree()); + sc.setRelation(targetRelation); + leafElement.addSimpleContext(sc); + } else { + // linked context + Element targetElement = processedLeaves.get(targetLeaf); + leafElement.addLinkedContext(new LinkedContext(targetElement.getId(), targetRelation)); + } + } + + private void extractRec(DiscourseTree node, int contextLayer) { + + if (node instanceof Leaf) { + Leaf leaf = (Leaf)node; + if (!leaf.isToSimpleContext()) { + + // create new element + Element element = new Element( + leaf.getParseTree(), + leaf.getSentenceIdx(), + contextLayer + ); + + processedLeaves.put(leaf, element); + } + } + + if (node instanceof Coordination) { + Coordination coordination = (Coordination) node; + + // recursion + for (DiscourseTree child : coordination.getCoordinations()) { + extractRec(child, contextLayer); + } + + // set relations + if (!ignoredRelations.contains(coordination.getRelation())) { + for (DiscourseTree child : coordination.getCoordinations()) { + List childNLeaves = child.getCorePathLeaves(); + + // forward direction + for (DiscourseTree sibling : coordination.getOtherFollowingCoordinations(child)) { + List siblingNLeaves = sibling.getCorePathLeaves(); + + for (Leaf childNLeaf : childNLeaves) { + for (Leaf siblingNLeaf : siblingNLeaves) { + addAsContext(childNLeaf, siblingNLeaf, coordination.getRelation()); + } + } + } + + // inverse direction + for (DiscourseTree sibling : coordination.getOtherPrecedingCoordinations(child)) { + List siblingNLeaves = sibling.getCorePathLeaves(); + + for (Leaf childNLeaf : childNLeaves) { + for (Leaf siblingNLeaf : siblingNLeaves) { + addAsContext(childNLeaf, siblingNLeaf, coordination.getRelation().getInverseRelation()); + } + } + } + } + } + } + + if (node instanceof Subordination) { + Subordination subordination = (Subordination) node; + + // recursion + extractRec(subordination.getSuperordination(), contextLayer); + extractRec(subordination.getSubordination(), contextLayer + 1); + + // add relations + if (!ignoredRelations.contains(subordination.getRelation())) { + List superordinationNLeaves = subordination.getSuperordination().getCorePathLeaves(); + List subordinationNLeaves = subordination.getSubordination().getCorePathLeaves(); + + for (Leaf superordinationNLeaf : superordinationNLeaves) { + for (Leaf subordinationNLeaf : subordinationNLeaves) { + addAsContext(superordinationNLeaf, subordinationNLeaf, subordination.getRelation()); + } + } + } + } + } +} diff --git a/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/DiscourseTreeCreator.java b/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/DiscourseTreeCreator.java new file mode 100644 index 0000000..1d2d12a --- /dev/null +++ b/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/DiscourseTreeCreator.java @@ -0,0 +1,212 @@ +/* + * ==========================License-Start============================= + * DiscourseSimplification : DiscourseTreeCreator + * + * Copyright © 2017 Lambda³ + * + * GNU General Public License 3 + * This program is free software: you can redistribute it and/or modify + * it under the terms of the GNU General Public License as published by + * the Free Software Foundation, either version 3 of the License, or + * (at your option) any later version. + * + * This program is distributed in the hope that it will be useful, + * but WITHOUT ANY WARRANTY; without even the implied warranty of + * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + * GNU General Public License for more details. + * + * You should have received a copy of the GNU General Public License + * along with this program. If not, see http://www.gnu.org/licenses/. + * ==========================License-End============================== + */ + +package org.lambda3.text.simplification.discourse.runner.discourse_tree; + +import com.typesafe.config.Config; +import com.typesafe.config.ConfigException; +import org.lambda3.text.simplification.discourse.processing.SentencePreprocessor; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.Extraction; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.ExtractionRule; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.model.*; +import org.lambda3.text.simplification.discourse.utils.parseTree.ParseTreeException; +import org.lambda3.text.simplification.discourse.utils.parseTree.ParseTreeVisualizer; +import org.slf4j.Logger; +import org.slf4j.LoggerFactory; + +import java.lang.reflect.Constructor; +import java.lang.reflect.InvocationTargetException; +import java.util.ArrayList; +import java.util.List; +import java.util.Optional; + +/** + * + */ +public class DiscourseTreeCreator { + private final Config config; + private final SentencePreprocessor preprocessor; + private final List rules; + + private final Logger logger = LoggerFactory.getLogger(getClass()); + private Coordination discourseTree; + + public DiscourseTreeCreator(Config config, SentencePreprocessor preprocessor) { + this.config = config; + this.preprocessor = preprocessor; + + // create rules from config + this.rules = new ArrayList<>(); + for (String className : this.config.getStringList("rules")) { + try { + Class clazz = Class.forName(className); + Constructor constructor = clazz.getConstructor(); + ExtractionRule rule = (ExtractionRule) constructor.newInstance(); + rule.setConfig(config); + rules.add(rule); + } catch (InstantiationException | InvocationTargetException | NoSuchMethodException | IllegalAccessException | ClassNotFoundException e) { + logger.error("{}", e); + logger.error("Failed to create instance of {}", className); + throw new ConfigException.BadValue("rules." + className, "Failed to create instance."); + } + } + + reset(); + } + + public void reset() { + this.discourseTree = new Coordination( + "ROOT", + Relation.UNKNOWN_COORDINATION, + null, + new ArrayList<>() + + ); + } + + public void addSentence(String sentence, int sentenceIdx) throws ParseTreeException { + String preprocessedSentence = preprocessor.preprocessSentence(sentence); + discourseTree.addCoordination(new SentenceLeaf(preprocessedSentence, sentenceIdx)); + } + + public DiscourseTree getLastSentenceTree() { + DiscourseTree res = null; + if (discourseTree.getCoordinations().size() > 0) { + res = discourseTree.getCoordinations().get(discourseTree.getCoordinations().size() - 1); + } + + return res; + } + + public Coordination getDiscourseTree() { + return discourseTree; + } + + public void update() { + processDiscourseTreeRec(discourseTree); + discourseTree.cleanup(); + } + + private void processDiscourseTreeRec(DiscourseTree discourseTree) { + + if (discourseTree instanceof Coordination) { + Coordination coordination = (Coordination) discourseTree; + + for (DiscourseTree child : coordination.getCoordinations()) { + + // doDiscourseSimplification coordination-leaf if not processed yet + if (child.isNotProcessed()) { + DiscourseTree c = child; + + if (child instanceof Leaf) { + Optional newChild = applyRules((Leaf) child); + if (newChild.isPresent()) { + coordination.replaceCoordination(child, newChild.get()); + c = newChild.get(); + } + } + + child.setProcessed(); + + // recursion + processDiscourseTreeRec(c); + } + } + } + + if (discourseTree instanceof Subordination) { + Subordination subordination = (Subordination) discourseTree; + + // doDiscourseSimplification superordination-leaf if not processed yet + if (subordination.getSuperordination().isNotProcessed()) { + + if (subordination.getSuperordination() instanceof Leaf) { + Optional newChild = applyRules((Leaf) subordination.getSuperordination()); + newChild.ifPresent(subordination::replaceSuperordination); + } + + subordination.getSuperordination().setProcessed(); + + // recursion + processDiscourseTreeRec(subordination.getSuperordination()); + } + + // doDiscourseSimplification subordination-leaf if not processed yet + if (subordination.getSubordination().isNotProcessed()) { + + if (subordination.getSubordination() instanceof Leaf) { + Optional newChild = applyRules((Leaf) subordination.getSubordination()); + newChild.ifPresent(subordination::replaceSubordination); + } + + subordination.getSubordination().setProcessed(); + + // recursion + processDiscourseTreeRec(subordination.getSubordination()); + } + } + } + + private Optional applyRules(Leaf leaf) { + logger.debug("Processing leaf:"); + if (logger.isDebugEnabled()) { + logger.debug(leaf.toString()); + } + + if (!leaf.isAllowSplit()) { + logger.debug("Leaf will not be check."); + return Optional.empty(); + } + + logger.debug("Process leaf:"); + if (logger.isDebugEnabled()) { + logger.debug(ParseTreeVisualizer.prettyPrint(leaf.getParseTree())); + } + + // check rules + for (ExtractionRule rule : rules) { + + Optional extraction = null; + try { + extraction = rule.extract(leaf); + } catch (ParseTreeException e) { + continue; + } + + if (extraction.isPresent()) { + logger.debug("Extraction rule " + rule.getClass().getSimpleName() + " matched."); + + // handle extractions + Optional r = extraction.get().generate(leaf); + if (r.isPresent()) { + return r; + } else { + logger.debug("Reference could not be used, checking other model rules."); + } + } + } + logger.debug("No model rule applied."); + + return Optional.empty(); + } + +} diff --git a/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/Relation.java b/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/Relation.java new file mode 100644 index 0000000..1bde00f --- /dev/null +++ b/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/Relation.java @@ -0,0 +1,125 @@ +/* + * ==========================License-Start============================= + * DiscourseSimplification : Relation + * + * Copyright © 2017 Lambda³ + * + * GNU General Public License 3 + * This program is free software: you can redistribute it and/or modify + * it under the terms of the GNU General Public License as published by + * the Free Software Foundation, either version 3 of the License, or + * (at your option) any later version. + * + * This program is distributed in the hope that it will be useful, + * but WITHOUT ANY WARRANTY; without even the implied warranty of + * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + * GNU General Public License for more details. + * + * You should have received a copy of the GNU General Public License + * along with this program. If not, see http://www.gnu.org/licenses/. + * ==========================License-End============================== + */ + +package org.lambda3.text.simplification.discourse.runner.discourse_tree; + +import java.util.Optional; + +public enum Relation { + + UNKNOWN, + + // Coordinations + UNKNOWN_COORDINATION, // the default for coordination + CONTRAST, + CAUSE_C, + RESULT_C, + LIST, + DISJUNCTION, + TEMPORAL_AFTER_C, + TEMPORAL_BEFORE_C, + + // Subordinations + UNKNOWN_SUBORDINATION, // the default for subordination + ATTRIBUTION, + BACKGROUND, + CAUSE, + RESULT, + CONDITION, + ELABORATION, + PURPOSE, + TEMPORAL_AFTER, + TEMPORAL_BEFORE, + + // for sentence simplification + NOUN_BASED, + SPATIAL, + TEMPORAL, + TEMPORAL_TIME, // indicating a particular instance on a time scale (e.g. “Next Sunday 2 pm”). + TEMPORAL_DURATION, // the amount of time between the two end-points of a time interval (e.g. “2 weeks"). + TEMPORAL_DATE, // particular date (e.g. “On 7 April 2013”). + TEMPORAL_SET, IDENTIFYING_DEFINITION, DESCRIBING_DEFINITION; // periodic temporal sets representing times that occur with some frequency (“Every Tuesday”). + + static { + UNKNOWN_COORDINATION.coordination = true; + CONTRAST.coordination = true; + CAUSE_C.coordination = true; + RESULT_C.coordination = true; + LIST.coordination = true; + DISJUNCTION.coordination = true; + TEMPORAL_AFTER_C.coordination = true; + TEMPORAL_BEFORE_C.coordination = true; + + CAUSE.coordinateVersion = CAUSE_C; + RESULT.coordinateVersion = RESULT_C; + TEMPORAL_AFTER.coordinateVersion = TEMPORAL_AFTER_C; + TEMPORAL_BEFORE.coordinateVersion = TEMPORAL_BEFORE_C; + + CAUSE_C.subordinateVersion = CAUSE; + RESULT_C.subordinateVersion = RESULT; + TEMPORAL_AFTER_C.subordinateVersion = TEMPORAL_AFTER; + TEMPORAL_BEFORE_C.subordinateVersion = TEMPORAL_BEFORE; + + CAUSE_C.inverse = RESULT_C; + RESULT_C.inverse = CAUSE_C; + TEMPORAL_AFTER_C.inverse = TEMPORAL_BEFORE_C; + TEMPORAL_BEFORE_C.inverse = TEMPORAL_AFTER_C; + CAUSE.inverse = RESULT; + RESULT.inverse = CAUSE; + TEMPORAL_AFTER.inverse = TEMPORAL_BEFORE; + TEMPORAL_BEFORE.inverse = TEMPORAL_AFTER; + } + + private boolean coordination; + private Relation regular; // class of context span (in subordination) or right span (coordination) + private Relation inverse; // class of core span (in subordination) or left span (coordination) + private Relation coordinateVersion; // optional + private Relation subordinateVersion; // optional + + Relation() { + this.coordination = false; + this.regular = this; + this.inverse = this; // only used in coordinations + this.coordinateVersion = null; + this.subordinateVersion = null; + } + + public boolean isCoordination() { + return coordination; + } + + public Relation getRegulatRelation() { + return regular; + } + + public Relation getInverseRelation() { + return inverse; + } + + public Optional getCoordinateVersion() { + return Optional.ofNullable(coordinateVersion); + } + + public Optional getSubordinateVersion() { + return Optional.ofNullable(subordinateVersion); + } +} diff --git a/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/classification/CuePhraseClassifier.java b/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/classification/CuePhraseClassifier.java new file mode 100644 index 0000000..67adfdb --- /dev/null +++ b/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/classification/CuePhraseClassifier.java @@ -0,0 +1,169 @@ +/* + * ==========================License-Start============================= + * DiscourseSimplification : CuePhraseClassifier + * + * Copyright © 2017 Lambda³ + * + * GNU General Public License 3 + * This program is free software: you can redistribute it and/or modify + * it under the terms of the GNU General Public License as published by + * the Free Software Foundation, either version 3 of the License, or + * (at your option) any later version. + * + * This program is distributed in the hope that it will be useful, + * but WITHOUT ANY WARRANTY; without even the implied warranty of + * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + * GNU General Public License for more details. + * + * You should have received a copy of the GNU General Public License + * along with this program. If not, see http://www.gnu.org/licenses/. + * ==========================License-End============================== + */ + +package org.lambda3.text.simplification.discourse.runner.discourse_tree.classification; + +import com.typesafe.config.Config; +import com.typesafe.config.ConfigValue; +import edu.stanford.nlp.ling.Word; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.Relation; +import org.lambda3.text.simplification.discourse.utils.words.WordsUtils; + +import java.util.*; + +/** + * + */ +public class CuePhraseClassifier { + public static class Mapping { + private final Relation relation; + private final String cuePhrasePattern; + private final int cuePhrasePatternSize; + + public Mapping(Relation relation, String cuePhrasePattern, boolean contain) { + this.relation = relation; + this.cuePhrasePattern = "^(?i:" + ((contain)? ".*?" : "") + "(? attributionVerbs; + private final List coordinatingPhrases; + private final List subordinatingPhrases; + private final List adverbialPhrases; + + public CuePhraseClassifier(Config config) { + + // load attribution verbs + attributionVerbs = new ArrayList<>(); + for (String verb : config.getStringList("attribution_verbs")) { + attributionVerbs.add(verb); + } + + // load patterns + coordinatingPhrases = new ArrayList<>(); + boolean coordinatingContainMatching = config.getString("cue_phrases.coordinating_phrases.matching").toLowerCase().equals("contained"); + for (Map.Entry entry : config.getObject("cue_phrases.coordinating_phrases.phrases").entrySet()) { + Relation relation = Relation.valueOf(entry.getValue().unwrapped().toString()); + String pattern = entry.getKey(); + coordinatingPhrases.add(new Mapping(relation, pattern, coordinatingContainMatching)); + } + + subordinatingPhrases = new ArrayList<>(); + boolean subordinatingContainMatching = config.getString("cue_phrases.subordinating_phrases.matching").toLowerCase().equals("contained"); + for (Map.Entry entry : config.getObject("cue_phrases.subordinating_phrases.phrases").entrySet()) { + Relation relation = Relation.valueOf(entry.getValue().unwrapped().toString()); + String pattern = entry.getKey(); + subordinatingPhrases.add(new Mapping(relation, pattern, subordinatingContainMatching)); + } + + adverbialPhrases = new ArrayList<>(); + boolean adverbialContainMatching = config.getString("cue_phrases.adverbial_phrases.matching").toLowerCase().equals("contained"); + for (Map.Entry entry : config.getObject("cue_phrases.adverbial_phrases.phrases").entrySet()) { + Relation relation = Relation.valueOf(entry.getValue().unwrapped().toString()); + String pattern = entry.getKey(); + adverbialPhrases.add(new Mapping(relation, pattern, adverbialContainMatching)); + } + } + + private Optional classify(List mappings, String cuePhrase) { + if (cuePhrase.length() == 0) { + return Optional.empty(); + } + + Optional bestMapping = Optional.empty(); + for (Mapping mapping : mappings) { + if (mapping.check(cuePhrase)) { + if (!bestMapping.isPresent()) { + bestMapping = Optional.of(mapping); + } else if (mapping.getCuePhrasePatternSize() >= bestMapping.get().getCuePhrasePatternSize()) { + bestMapping = Optional.of(mapping); + } + } + } + + return bestMapping.map(Mapping::getRelation); + } + + + public Optional classifyCustom(List mappings, String cuePhrase) { + return classify(mappings, cuePhrase); + } + + public Optional classifyCustom(List mappings, List cuePhraseWords) { + return classifyCustom(mappings, WordsUtils.wordsToString(cuePhraseWords)); + } + + public Optional classifyCoordinating(String cuePhrase) { + return classify(coordinatingPhrases, cuePhrase); + } + + public Optional classifyCoordinating(List cuePhraseWords) { + return classifyCoordinating(WordsUtils.wordsToString(cuePhraseWords)); + } + + public Optional classifySubordinating(String cuePhrase) { + return classify(subordinatingPhrases, cuePhrase); + } + + public Optional classifySubordinating(List cuePhraseWords) { + return classifySubordinating(WordsUtils.wordsToString(cuePhraseWords)); + } + + public Optional classifyAdverbial(String cuePhrase) { + return classify(adverbialPhrases, cuePhrase); + } + + public Optional classifyAdverbial(List cuePhraseWords) { + return classifyAdverbial(WordsUtils.wordsToString(cuePhraseWords)); + } + + public boolean checkAttribution(List cuePhraseWords) { + for (Word word : cuePhraseWords) { + if (attributionVerbs.contains(WordsUtils.lemmatize(word).value().toLowerCase())) { + return true; + } + } + return false; + } + + public boolean checkAttribution(Word cuePhraseWord) { + return checkAttribution(Arrays.asList(cuePhraseWord)); + } +} diff --git a/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/Extraction.java b/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/Extraction.java new file mode 100644 index 0000000..a724b37 --- /dev/null +++ b/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/Extraction.java @@ -0,0 +1,133 @@ +/* + * ==========================License-Start============================= + * DiscourseSimplification : Extraction + * + * Copyright © 2017 Lambda³ + * + * GNU General Public License 3 + * This program is free software: you can redistribute it and/or modify + * it under the terms of the GNU General Public License as published by + * the Free Software Foundation, either version 3 of the License, or + * (at your option) any later version. + * + * This program is distributed in the hope that it will be useful, + * but WITHOUT ANY WARRANTY; without even the implied warranty of + * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + * GNU General Public License for more details. + * + * You should have received a copy of the GNU General Public License + * along with this program. If not, see http://www.gnu.org/licenses/. + * ==========================License-End============================== + */ + +package org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction; + +import edu.stanford.nlp.ling.Word; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.Relation; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.model.Coordination; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.model.DiscourseTree; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.model.Leaf; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.model.Subordination; +import org.lambda3.text.simplification.discourse.utils.words.WordsUtils; + +import java.util.Collections; +import java.util.List; +import java.util.Optional; +import java.util.stream.Collectors; + +/** + * + */ +public class Extraction { + private String extractionRule; + private boolean referring; + private String cuePhrase; // optional + private Relation relation; + private boolean contextRight; // only for subordinate relations + private List constituents; + + public Extraction(String extractionRule, boolean referring, List cuePhraseWords, Relation relation, boolean contextRight, List constituents) { + if ((referring) && (constituents.size() != 1)) { + throw new AssertionError("Referring relations should have one constituent"); + } + + if ((!referring) && (!relation.isCoordination()) && (constituents.size() != 2)) { + throw new AssertionError("(Non-referring) subordinate relations rules should have two constituents"); + } + + this.extractionRule = extractionRule; + this.referring = referring; + this.cuePhrase = (cuePhraseWords == null)? null : WordsUtils.wordsToString(cuePhraseWords); + this.relation = relation; + this.contextRight = contextRight; + this.constituents = constituents; + } + + public Optional generate(Leaf currChild) { + + if (relation.isCoordination()) { + if (referring) { + + // find previous node to use as a reference + Optional prevNode = currChild.getPreviousNode(); + if ((prevNode.isPresent()) && (prevNode.get().usableAsReference())) { + + // use prev node as a reference + prevNode.get().useAsReference(); + + Coordination res = new Coordination( + extractionRule, + relation, + cuePhrase, + Collections.emptyList() + ); + res.addCoordination(prevNode.get()); // set prev node as a reference + res.addCoordination(constituents.get(0)); + + return Optional.of(res); + } + } else { + return Optional.of(new Coordination( + extractionRule, + relation, + cuePhrase, + constituents.stream().collect(Collectors.toList()) + )); + } + } else { + if (referring) { + + // find previous node to use as a reference + Optional prevNode = currChild.getPreviousNode(); + if ((prevNode.isPresent()) && (prevNode.get().usableAsReference())) { + + // use prev node as a reference + prevNode.get().useAsReference(); + + Subordination res = new Subordination( + extractionRule, + relation, + cuePhrase, + new Leaf(), // tmp + constituents.get(0), + contextRight + ); + res.replaceLeftConstituent(prevNode.get()); // set prev node as a reference + + return Optional.of(res); + } + } else { + return Optional.of(new Subordination( + extractionRule, + relation, + cuePhrase, + constituents.get(0), + constituents.get(1), + contextRight + )); + } + } + + return Optional.empty(); + } +} diff --git a/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/ExtractionRule.java b/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/ExtractionRule.java new file mode 100644 index 0000000..5b43a12 --- /dev/null +++ b/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/ExtractionRule.java @@ -0,0 +1,304 @@ +/* + * ==========================License-Start============================= + * DiscourseSimplification : ExtractionRule + * + * Copyright © 2017 Lambda³ + * + * GNU General Public License 3 + * This program is free software: you can redistribute it and/or modify + * it under the terms of the GNU General Public License as published by + * the Free Software Foundation, either version 3 of the License, or + * (at your option) any later version. + * + * This program is distributed in the hope that it will be useful, + * but WITHOUT ANY WARRANTY; without even the implied warranty of + * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + * GNU General Public License for more details. + * + * You should have received a copy of the GNU General Public License + * along with this program. If not, see http://www.gnu.org/licenses/. + * ==========================License-End============================== + */ + +package org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction; + +import com.typesafe.config.Config; +import edu.stanford.nlp.ling.Word; +import edu.stanford.nlp.trees.Tree; +import edu.stanford.nlp.trees.tregex.TregexMatcher; +import edu.stanford.nlp.trees.tregex.TregexPattern; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.classification.CuePhraseClassifier; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.model.Leaf; +import org.lambda3.text.simplification.discourse.utils.parseTree.ParseTreeException; +import org.lambda3.text.simplification.discourse.utils.parseTree.ParseTreeExtractionUtils; +import org.lambda3.text.simplification.discourse.utils.parseTree.ParseTreeParser; +import org.lambda3.text.simplification.discourse.utils.pos.POSToken; +import org.lambda3.text.simplification.discourse.utils.words.WordsUtils; +import org.slf4j.Logger; +import org.slf4j.LoggerFactory; + +import java.util.ArrayList; +import java.util.List; +import java.util.Optional; +import java.util.stream.Collectors; + +public abstract class ExtractionRule { + protected static final Logger LOGGER = LoggerFactory.getLogger(ExtractionRule.class); + + protected enum Tense { + PRESENT, + PAST + } + + protected enum Number { + SINGULAR, + PLURAL + } + + protected CuePhraseClassifier classifer; + + public ExtractionRule() { + } + + public void setConfig(Config config) { + this.classifer = new CuePhraseClassifier(config); + } + + public abstract Optional extract(Leaf leaf) throws ParseTreeException; + + protected static List getSiblings(Tree parseTree, List tags) { + return parseTree.getChildrenAsList().stream().filter(c -> tags.contains(c.value())).collect(Collectors.toList()); + } + + protected static Number getNumber(Tree np) { + Number res = Number.SINGULAR; + + // find plural forms + TregexPattern p = TregexPattern.compile("NNS|NNPS"); + TregexMatcher matcher = p.matcher(np); + if (matcher.find()) { + res = Number.PLURAL; + } + + // find and + p = TregexPattern.compile("CC <<: and"); + matcher = p.matcher(np); + if (matcher.find()) { + res = Number.PLURAL; + } + + return res; + } + + protected static Tense getTense(Tree vp) { + Tense res = Tense.PRESENT; + + // find past tense + TregexPattern p = TregexPattern.compile("VBD|VBN"); + TregexMatcher matcher = p.matcher(vp); + + if (matcher.find()) { + res = Tense.PAST; + } + + return res; + } + + protected static Optional getHeadVerb(Tree vp) { + TregexPattern pattern = TregexPattern.compile(vp.value() + " [ <+(VP) (VP=lowestvp !< VP < /V../=v) | ==(VP=lowestvp !< VP < /V../=v) ]"); + TregexMatcher matcher = pattern.matcher(vp); + while (matcher.findAt(vp)) { + return Optional.of(ParseTreeExtractionUtils.getContainingWords(matcher.getNode("v")).get(0)); + } + return Optional.empty(); + } + + private static List appendWordsFromTree(List words, Tree tree) { + List res = new ArrayList(); + res.addAll(words); + + TregexPattern p = TregexPattern.compile(tree.value() + " <<, NNP|NNPS"); + TregexMatcher matcher = p.matcher(tree); + + boolean isFirst = true; + for (Word word : tree.yieldWords()) { + if ((isFirst) && (!matcher.findAt(tree))) { + res.add(WordsUtils.lowercaseWord(word)); + } else { + res.add(word); + } + isFirst = false; + } + + return res; + } + + // pp is optional + protected static List rephraseIntraSententialAttribution(List words) { + try { + List res = new ArrayList<>(); + + Tree parseTree = ParseTreeParser.parse(WordsUtils.wordsToProperSentenceString(words)); + + TregexPattern p = TregexPattern.compile("ROOT << (S !> S < (NP=np ?$,, PP=pp $.. VP=vp))"); + TregexMatcher matcher = p.matcher(parseTree); + if (matcher.findAt(parseTree)) { + Tree pp = matcher.getNode("pp"); // optional + Tree np = matcher.getNode("np"); + Tree vp = matcher.getNode("vp"); + + Tense tense = getTense(vp); + if (tense.equals(Tense.PRESENT)) { + res.add(new Word("This")); + res.add(new Word("is")); + res.add(new Word("what")); + } else { + res.add(new Word("This")); + res.add(new Word("was")); + res.add(new Word("what")); + } + res = appendWordsFromTree(res, np); + res = appendWordsFromTree(res, vp); + if (pp != null) { + res = appendWordsFromTree(res, pp); + } + } + + return res; + } catch (ParseTreeException e) { + return words; + } + } + + protected static List rephraseEnablement(Tree s, Tree vp) { + List res = new ArrayList<>(); + + Tense tense = getTense(vp); + if (tense.equals(Tense.PRESENT)) { + res.add(new Word("This")); + res.add(new Word("is")); + } else { + res.add(new Word("This")); + res.add(new Word("was")); + } + res = appendWordsFromTree(res, s); + + return res; + } + + protected static String rephraseApposition(Tree vp, String np) { + String res = ""; + + Tense tense = getTense(vp); + //Number number = getNumber(np); + if (tense.equals(Tense.PRESENT)) { + if (np.equals("NN") || np.equals("NNP")) { + res = " is "; + } else { + res = " are "; + } + } else { + if (np.equals("NN") || np.equals("NNP")) { + res = " was "; + } else { + res = " were "; + } + } + + return res; + } + + protected static List rephraseAppositionNonRes(Tree vp, Tree np, Tree np2) { + List res = new ArrayList<>(); + + Tense tense = getTense(vp); + Number number = getNumber(np); + if (tense.equals(Tense.PRESENT)) { + if (number.equals(Number.SINGULAR)) { + res.add(new Word("is")); + } else { + res.add(new Word("are")); + } + } else { + if (number.equals(Number.SINGULAR)) { + res.add(new Word("was")); + } else { + res.add(new Word("were")); + } + } + res = appendWordsFromTree(res, np2); + + return res; + } + + protected static List getRephrasedParticipalS(Tree np, Tree vp, Tree s, Tree vbgn) { + Number number = getNumber(np); + Tense tense = getTense(vp); + + TregexPattern p = TregexPattern.compile(vbgn.value() + " <<: (having . (been . VBN=vbn))"); + TregexPattern p2 = TregexPattern.compile(vbgn.value() + " <<: (having . VBN=vbn)"); + TregexPattern p3 = TregexPattern.compile(vbgn.value() + " <<: (being . VBN=vbn)"); + + TregexMatcher matcher = p.matcher(s); + if (matcher.findAt(s)) { + List res = new ArrayList<>(); + + res.add(new Word((number.equals(Number.SINGULAR))? "has" : "have")); + res.add(new Word("been")); + List next = ParseTreeExtractionUtils.getFollowingWords(s, matcher.getNode("vbn"), true); + if (next.size() > 0) { + next.set(0, WordsUtils.lowercaseWord(next.get(0))); + } + res.addAll(next); + + return res; + } + + matcher = p2.matcher(s); + if (matcher.findAt(s)) { + List res = new ArrayList<>(); + + res.add(new Word((number.equals(Number.SINGULAR))? "has" : "have")); + List next = ParseTreeExtractionUtils.getFollowingWords(s, matcher.getNode("vbn"), true); + if (next.size() > 0) { + next.set(0, WordsUtils.lowercaseWord(next.get(0))); + } + res.addAll(next); + + return res; + } + + matcher = p3.matcher(s); + if (matcher.findAt(s)) { + List res = new ArrayList<>(); + if (tense.equals(Tense.PRESENT)) { + res.add(new Word((number.equals(Number.SINGULAR)) ? "is" : "are")); + } else { + res.add(new Word((number.equals(Number.SINGULAR)) ? "was" : "were")); + } + List next = ParseTreeExtractionUtils.getFollowingWords(s, matcher.getNode("vbn"), true); + if (next.size() > 0) { + next.set(0, WordsUtils.lowercaseWord(next.get(0))); + } + res.addAll(next); + + return res; + } + + // default + List res = new ArrayList<>(); + if (tense.equals(Tense.PRESENT)) { + res.add(new Word((number.equals(Number.SINGULAR)) ? "is" : "are")); + } else { + res.add(new Word((number.equals(Number.SINGULAR)) ? "was" : "were")); + } + List next = ParseTreeExtractionUtils.getFollowingWords(s, vbgn, true); + if (next.size() > 0) { + next.set(0, WordsUtils.lowercaseWord(next.get(0))); + } + res.addAll(next); + + return res; + } + +} diff --git a/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/AdjectivalAdverbialInitialExtractor.java b/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/AdjectivalAdverbialInitialExtractor.java new file mode 100644 index 0000000..c5a5b93 --- /dev/null +++ b/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/AdjectivalAdverbialInitialExtractor.java @@ -0,0 +1,83 @@ +/* + * ==========================License-Start============================= + * DiscourseSimplification : SubordinationPostExtractor + * + * Copyright © 2017 Lambda³ + * + * GNU General Public License 3 + * This program is free software: you can redistribute it and/or modify + * it under the terms of the GNU General Public License as published by + * the Free Software Foundation, either version 3 of the License, or + * (at your option) any later version. + * + * This program is distributed in the hope that it will be useful, + * but WITHOUT ANY WARRANTY; without even the implied warranty of + * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + * GNU General Public License for more details. + * + * You should have received a copy of the GNU General Public License + * along with this program. If not, see http://www.gnu.org/licenses/. + * ==========================License-End============================== + */ + +package org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules; + +import edu.stanford.nlp.ling.Word; +import edu.stanford.nlp.trees.tregex.TregexMatcher; +import edu.stanford.nlp.trees.tregex.TregexPattern; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.Relation; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.Extraction; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.ExtractionRule; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.model.Leaf; +import org.lambda3.text.simplification.discourse.utils.parseTree.ParseTreeException; +import org.lambda3.text.simplification.discourse.utils.parseTree.ParseTreeExtractionUtils; +import org.lambda3.text.simplification.discourse.utils.words.WordsUtils; + +import java.util.ArrayList; +import java.util.Arrays; +import java.util.List; +import java.util.Optional; + +/** + * + */ +public class AdjectivalAdverbialInitialExtractor extends ExtractionRule { + + @Override + public Optional extract(Leaf leaf) throws ParseTreeException { + + TregexPattern p = TregexPattern.compile("ROOT <<: (S <, (ADJP|ADVP=ad $+ (/,/ $++ VP=vp)))"); + TregexMatcher matcher = p.matcher(leaf.getParseTree()); + + while (matcher.findAt(leaf.getParseTree())) { + + // rephrase + List leftConstituentWords = rephraseEnablement(matcher.getNode("ad"), matcher.getNode("vp")); + Leaf leftConstituent = new Leaf(getClass().getSimpleName(), WordsUtils.wordsToProperSentenceString(leftConstituentWords)); + leftConstituent.dontAllowSplit(); + leftConstituent.setToSimpleContext(true); + + // the right, superordinate constituent + List rightConstituentWords = new ArrayList<>(); + rightConstituentWords.addAll(ParseTreeExtractionUtils.getPrecedingWords(leaf.getParseTree(), matcher.getNode("ad"), false)); + rightConstituentWords.addAll(ParseTreeExtractionUtils.getFollowingWords(leaf.getParseTree(), matcher.getNode("ad"), false)); + Leaf rightConstituent = new Leaf(getClass().getSimpleName(), WordsUtils.wordsToProperSentenceString(rightConstituentWords)); + + // relation + Relation relation = Relation.UNKNOWN_SUBORDINATION; //TODO + + Extraction res = new Extraction( + getClass().getSimpleName(), + false, + null, + relation, + false, + Arrays.asList(leftConstituent, rightConstituent) + ); + + return Optional.of(res); + } + + return Optional.empty(); + } +} diff --git a/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/AdjectivalAdverbialMiddleFinalExtractor.java b/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/AdjectivalAdverbialMiddleFinalExtractor.java new file mode 100644 index 0000000..e78c449 --- /dev/null +++ b/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/AdjectivalAdverbialMiddleFinalExtractor.java @@ -0,0 +1,87 @@ +/* + * ==========================License-Start============================= + * DiscourseSimplification : SubordinationPostExtractor + * + * Copyright © 2017 Lambda³ + * + * GNU General Public License 3 + * This program is free software: you can redistribute it and/or modify + * it under the terms of the GNU General Public License as published by + * the Free Software Foundation, either version 3 of the License, or + * (at your option) any later version. + * + * This program is distributed in the hope that it will be useful, + * but WITHOUT ANY WARRANTY; without even the implied warranty of + * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + * GNU General Public License for more details. + * + * You should have received a copy of the GNU General Public License + * along with this program. If not, see http://www.gnu.org/licenses/. + * ==========================License-End============================== + */ + +package org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules; + +import edu.stanford.nlp.ling.Word; +import edu.stanford.nlp.trees.tregex.TregexMatcher; +import edu.stanford.nlp.trees.tregex.TregexPattern; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.Relation; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.Extraction; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.ExtractionRule; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.model.Leaf; +import org.lambda3.text.simplification.discourse.utils.parseTree.ParseTreeException; +import org.lambda3.text.simplification.discourse.utils.parseTree.ParseTreeExtractionUtils; +import org.lambda3.text.simplification.discourse.utils.words.WordsUtils; + +import java.util.ArrayList; +import java.util.Arrays; +import java.util.List; +import java.util.Optional; + +/** + * + */ +public class AdjectivalAdverbialMiddleFinalExtractor extends ExtractionRule { + + @Override + public Optional extract(Leaf leaf) throws ParseTreeException { + + TregexPattern p = TregexPattern.compile("ROOT <<: (S < VP=vp & << (/,/=comma1 $+ (ADJP|ADVP=ad ?$+ /,/=comma2)))"); + TregexMatcher matcher = p.matcher(leaf.getParseTree()); + + while (matcher.findAt(leaf.getParseTree())) { + + // rephrase + List leftConstituentWords = rephraseEnablement(matcher.getNode("ad"), matcher.getNode("vp")); + Leaf leftConstituent = new Leaf(getClass().getSimpleName(), WordsUtils.wordsToProperSentenceString(leftConstituentWords)); + leftConstituent.dontAllowSplit(); + leftConstituent.setToSimpleContext(true); + + // the right, superordinate constituent + List rightConstituentWords = new ArrayList<>(); + rightConstituentWords.addAll(ParseTreeExtractionUtils.getPrecedingWords(leaf.getParseTree(), matcher.getNode("comma1"), false)); + if (matcher.getNode("comma2") != null) { + rightConstituentWords.addAll(ParseTreeExtractionUtils.getFollowingWords(leaf.getParseTree(), matcher.getNode("comma2"), false)); + } else { + rightConstituentWords.addAll(ParseTreeExtractionUtils.getFollowingWords(leaf.getParseTree(), matcher.getNode("ad"), false)); + } + Leaf rightConstituent = new Leaf(getClass().getSimpleName(), WordsUtils.wordsToProperSentenceString(rightConstituentWords)); + + // relation + Relation relation = Relation.UNKNOWN_SUBORDINATION; //TODO + + Extraction res = new Extraction( + getClass().getSimpleName(), + false, + null, + relation, + false, + Arrays.asList(leftConstituent, rightConstituent) + ); + + return Optional.of(res); + } + + return Optional.empty(); + } +} diff --git a/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/CoordinationExtractor.java b/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/CoordinationExtractor.java new file mode 100644 index 0000000..7efe07b --- /dev/null +++ b/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/CoordinationExtractor.java @@ -0,0 +1,104 @@ +/* + * ==========================License-Start============================= + * DiscourseSimplification : CoordinationExtractor + * + * Copyright © 2017 Lambda³ + * + * GNU General Public License 3 + * This program is free software: you can redistribute it and/or modify + * it under the terms of the GNU General Public License as published by + * the Free Software Foundation, either version 3 of the License, or + * (at your option) any later version. + * + * This program is distributed in the hope that it will be useful, + * but WITHOUT ANY WARRANTY; without even the implied warranty of + * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + * GNU General Public License for more details. + * + * You should have received a copy of the GNU General Public License + * along with this program. If not, see http://www.gnu.org/licenses/. + * ==========================License-End============================== + */ + +package org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules; + +import edu.stanford.nlp.ling.Word; +import edu.stanford.nlp.trees.Tree; +import edu.stanford.nlp.trees.tregex.TregexMatcher; +import edu.stanford.nlp.trees.tregex.TregexPattern; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.Relation; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.Extraction; +import org.lambda3.text.simplification.discourse.utils.parseTree.ParseTreeException; +import org.lambda3.text.simplification.discourse.utils.words.WordsUtils; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.ExtractionRule; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.model.Leaf; +import org.lambda3.text.simplification.discourse.utils.parseTree.ParseTreeExtractionUtils; + +import java.util.ArrayList; +import java.util.Arrays; +import java.util.List; +import java.util.Optional; +import java.util.stream.Collectors; + +/** + * + */ +public class CoordinationExtractor extends ExtractionRule { + + private static boolean isNPVPClause(Tree s) { + TregexPattern p = TregexPattern.compile(s.value() + " < (NP $.. VP)"); + TregexMatcher matcher = p.matcher(s); + + return (matcher.findAt(s)); + } + + @Override + public Optional extract(Leaf leaf) throws ParseTreeException { + +// TregexPattern p = TregexPattern.compile("ROOT <<: (S=s < (S < (NP $.. VP) $.. (S < (NP $.. VP))))"); + TregexPattern p = TregexPattern.compile("ROOT <<: (S=s < (S $.. S))"); + TregexMatcher matcher = p.matcher(leaf.getParseTree()); + + while (matcher.findAt(leaf.getParseTree())) { +// List siblings = getSiblings(matcher.getNode("s"), Arrays.asList("S")).stream().filter(t -> isNPVPClause(t)).collect(Collectors.toList()); + List siblings = getSiblings(matcher.getNode("s"), Arrays.asList("S")).stream().collect(Collectors.toList()); + if (siblings.size() >= 2) { + + // constituents + List precedingWords = ParseTreeExtractionUtils.getPrecedingWords(leaf.getParseTree(), siblings.get(0), false); + List followingWords = ParseTreeExtractionUtils.getFollowingWords(leaf.getParseTree(), siblings.get(siblings.size() - 1), false); + + List constituents = new ArrayList<>(); + for (Tree sibling : siblings) { + List words = new ArrayList(); + words.addAll(precedingWords); + words.addAll(ParseTreeExtractionUtils.getContainingWords(sibling)); + words.addAll(followingWords); + + Leaf constituent = new Leaf(getClass().getSimpleName(), WordsUtils.wordsToProperSentenceString(words)); + constituents.add(constituent); + } + + List cuePhraseWords = null; + Relation relation = Relation.UNKNOWN_COORDINATION; + if (constituents.size() == 2) { + cuePhraseWords = ParseTreeExtractionUtils.getWordsInBetween(leaf.getParseTree(), siblings.get(0), siblings.get(siblings.size() - 1), false, false); + relation = classifer.classifyCoordinating(cuePhraseWords).orElse(Relation.UNKNOWN_COORDINATION); + } + + Extraction res = new Extraction( + getClass().getSimpleName(), + false, + cuePhraseWords, + relation, + true, + constituents + ); + + return Optional.of(res); + } + } + + return Optional.empty(); + } +} diff --git a/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/LeadNPExtractor.java b/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/LeadNPExtractor.java new file mode 100644 index 0000000..f8b71aa --- /dev/null +++ b/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/LeadNPExtractor.java @@ -0,0 +1,84 @@ +/* + * ==========================License-Start============================= + * DiscourseSimplification : SubordinationPostExtractor + * + * Copyright © 2017 Lambda³ + * + * GNU General Public License 3 + * This program is free software: you can redistribute it and/or modify + * it under the terms of the GNU General Public License as published by + * the Free Software Foundation, either version 3 of the License, or + * (at your option) any later version. + * + * This program is distributed in the hope that it will be useful, + * but WITHOUT ANY WARRANTY; without even the implied warranty of + * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + * GNU General Public License for more details. + * + * You should have received a copy of the GNU General Public License + * along with this program. If not, see http://www.gnu.org/licenses/. + * ==========================License-End============================== + */ + +package org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules; + +import edu.stanford.nlp.ling.Word; +import edu.stanford.nlp.trees.tregex.TregexMatcher; +import edu.stanford.nlp.trees.tregex.TregexPattern; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.Relation; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.Extraction; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.ExtractionRule; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.model.Leaf; +import org.lambda3.text.simplification.discourse.utils.parseTree.ParseTreeException; +import org.lambda3.text.simplification.discourse.utils.parseTree.ParseTreeExtractionUtils; +import org.lambda3.text.simplification.discourse.utils.words.WordsUtils; + +import java.util.ArrayList; +import java.util.Arrays; +import java.util.List; +import java.util.Optional; + +/** + * + */ +public class LeadNPExtractor extends ExtractionRule { + + @Override + public Optional extract(Leaf leaf) throws ParseTreeException { + + TregexPattern p = TregexPattern.compile("ROOT <<: (S <, (NP=np $+ (/,/ $+ NP & $++ VP=vp)))"); + TregexMatcher matcher = p.matcher(leaf.getParseTree()); + + while (matcher.findAt(leaf.getParseTree())) { + + // rephrase + List leftConstituentWords = rephraseEnablement(matcher.getNode("np"), matcher.getNode("vp")); + Leaf leftConstituent = new Leaf(getClass().getSimpleName(), WordsUtils.wordsToProperSentenceString(leftConstituentWords)); + leftConstituent.dontAllowSplit(); + leftConstituent.setToSimpleContext(true); + + // the right, superordinate constituent + List rightConstituentWords = new ArrayList<>(); + rightConstituentWords.addAll(ParseTreeExtractionUtils.getPrecedingWords(leaf.getParseTree(), matcher.getNode("np"), false)); + rightConstituentWords.addAll(ParseTreeExtractionUtils.getFollowingWords(leaf.getParseTree(), matcher.getNode("np"), false)); + Leaf rightConstituent = new Leaf(getClass().getSimpleName(), WordsUtils.wordsToProperSentenceString(rightConstituentWords)); + + // relation + Relation relation = Relation.UNKNOWN_SUBORDINATION; //TODO + + Extraction res = new Extraction( + getClass().getSimpleName(), + false, + null, + relation, + false, + Arrays.asList(leftConstituent, rightConstituent) + ); + + return Optional.of(res); + } + + return Optional.empty(); + } +} + diff --git a/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/ListNP/ListNPExtractor.java b/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/ListNP/ListNPExtractor.java new file mode 100644 index 0000000..7fa3d38 --- /dev/null +++ b/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/ListNP/ListNPExtractor.java @@ -0,0 +1,105 @@ +/* + * ==========================License-Start============================= + * DiscourseSimplification : ListNPExtractor + * + * Copyright © 2017 Lambda³ + * + * GNU General Public License 3 + * This program is free software: you can redistribute it and/or modify + * it under the terms of the GNU General Public License as published by + * the Free Software Foundation, either version 3 of the License, or + * (at your option) any later version. + * + * This program is distributed in the hope that it will be useful, + * but WITHOUT ANY WARRANTY; without even the implied warranty of + * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + * GNU General Public License for more details. + * + * You should have received a copy of the GNU General Public License + * along with this program. If not, see http://www.gnu.org/licenses/. + * ==========================License-End============================== + */ + +package org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules.ListNP; + +import edu.stanford.nlp.ling.Word; +import edu.stanford.nlp.trees.tregex.TregexMatcher; +import edu.stanford.nlp.trees.tregex.TregexPattern; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.Extraction; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.ExtractionRule; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.utils.ListNPSplitter; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.model.Leaf; +import org.lambda3.text.simplification.discourse.utils.parseTree.ParseTreeException; +import org.lambda3.text.simplification.discourse.utils.parseTree.ParseTreeExtractionUtils; +import org.lambda3.text.simplification.discourse.utils.words.WordsUtils; + +import java.util.ArrayList; +import java.util.List; +import java.util.Optional; + +/** + * + */ +public abstract class ListNPExtractor extends ExtractionRule { + private final String pattern; + + public ListNPExtractor(String pattern) { + this.pattern = pattern; + } + + @Override + public Optional extract(Leaf leaf) throws ParseTreeException { + + TregexPattern p = TregexPattern.compile(pattern); + TregexMatcher matcher = p.matcher(leaf.getParseTree()); + + while (matcher.findAt(leaf.getParseTree())) { + + Optional r = ListNPSplitter.splitList(leaf.getParseTree(), matcher.getNode("np")); + if (r.isPresent()) { + + // constituents + List precedingWords = ParseTreeExtractionUtils.getPrecedingWords(leaf.getParseTree(), matcher.getNode("np"), false); + List followingWords = ParseTreeExtractionUtils.getFollowingWords(leaf.getParseTree(), matcher.getNode("np"), false); + + List constituents = new ArrayList<>(); + + if (r.get().getIntroductionWords().isPresent()) { + List words = new ArrayList(); + words.addAll(precedingWords); + words.addAll(r.get().getIntroductionWords().get()); + words.addAll(followingWords); + + Leaf constituent = new Leaf(getClass().getSimpleName(), WordsUtils.wordsToProperSentenceString(words)); + constituent.dontAllowSplit(); + constituents.add(constituent); + } + + for (List element : r.get().getElementsWords()) { + List words = new ArrayList(); + words.addAll(precedingWords); + words.addAll(element); + words.addAll(followingWords); + + Leaf constituent = new Leaf(getClass().getSimpleName(), WordsUtils.wordsToProperSentenceString(words)); + constituent.dontAllowSplit(); + constituents.add(constituent); + } + + + Extraction res = new Extraction( + getClass().getSimpleName(), + false, + null, + r.get().getRelation(), + true, + constituents + ); + + return Optional.of(res); + } + } + + return Optional.empty(); + } +} diff --git a/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/ListNP/PostListNPExtractor.java b/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/ListNP/PostListNPExtractor.java new file mode 100644 index 0000000..10336aa --- /dev/null +++ b/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/ListNP/PostListNPExtractor.java @@ -0,0 +1,33 @@ +/* + * ==========================License-Start============================= + * DiscourseSimplification : PostListNPExtractor + * + * Copyright © 2017 Lambda³ + * + * GNU General Public License 3 + * This program is free software: you can redistribute it and/or modify + * it under the terms of the GNU General Public License as published by + * the Free Software Foundation, either version 3 of the License, or + * (at your option) any later version. + * + * This program is distributed in the hope that it will be useful, + * but WITHOUT ANY WARRANTY; without even the implied warranty of + * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + * GNU General Public License for more details. + * + * You should have received a copy of the GNU General Public License + * along with this program. If not, see http://www.gnu.org/licenses/. + * ==========================License-End============================== + */ + +package org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules.ListNP; + +/** + * + */ +public class PostListNPExtractor extends ListNPExtractor { + + public PostListNPExtractor() { + super("ROOT <<: (S < (NP $.. (VP << (NP=np))))"); + } +} diff --git a/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/ListNP/PreListNPExtractor.java b/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/ListNP/PreListNPExtractor.java new file mode 100644 index 0000000..0383e23 --- /dev/null +++ b/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/ListNP/PreListNPExtractor.java @@ -0,0 +1,33 @@ +/* + * ==========================License-Start============================= + * DiscourseSimplification : PreListNPExtractor + * + * Copyright © 2017 Lambda³ + * + * GNU General Public License 3 + * This program is free software: you can redistribute it and/or modify + * it under the terms of the GNU General Public License as published by + * the Free Software Foundation, either version 3 of the License, or + * (at your option) any later version. + * + * This program is distributed in the hope that it will be useful, + * but WITHOUT ANY WARRANTY; without even the implied warranty of + * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + * GNU General Public License for more details. + * + * You should have received a copy of the GNU General Public License + * along with this program. If not, see http://www.gnu.org/licenses/. + * ==========================License-End============================== + */ + +package org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules.ListNP; + +/** + * + */ +public class PreListNPExtractor extends ListNPExtractor { + + public PreListNPExtractor() { + super("ROOT <<: (S < (NP=np $.. VP))"); + } +} diff --git a/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/NonRestrictiveAppositionExtractor.java b/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/NonRestrictiveAppositionExtractor.java new file mode 100644 index 0000000..34ee088 --- /dev/null +++ b/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/NonRestrictiveAppositionExtractor.java @@ -0,0 +1,155 @@ +/* + * ==========================License-Start============================= + * DiscourseSimplification : SubordinationPostExtractor + * + * Copyright © 2017 Lambda³ + * + * GNU General Public License 3 + * This program is free software: you can redistribute it and/or modify + * it under the terms of the GNU General Public License as published by + * the Free Software Foundation, either version 3 of the License, or + * (at your option) any later version. + * + * This program is distributed in the hope that it will be useful, + * but WITHOUT ANY WARRANTY; without even the implied warranty of + * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + * GNU General Public License for more details. + * + * You should have received a copy of the GNU General Public License + * along with this program. If not, see http://www.gnu.org/licenses/. + * ==========================License-End============================== + */ + +package org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules; + +import edu.stanford.nlp.ling.Word; +import edu.stanford.nlp.trees.Tree; +import edu.stanford.nlp.trees.tregex.TregexMatcher; +import edu.stanford.nlp.trees.tregex.TregexPattern; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.Relation; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.Extraction; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.ExtractionRule; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.model.Leaf; +import org.lambda3.text.simplification.discourse.utils.ner.NERStringParseException; +import org.lambda3.text.simplification.discourse.utils.ner.NERStringParser; +import org.lambda3.text.simplification.discourse.utils.ner.tner.TNERString; +import org.lambda3.text.simplification.discourse.utils.parseTree.ParseTreeException; +import org.lambda3.text.simplification.discourse.utils.parseTree.ParseTreeExtractionUtils; +import org.lambda3.text.simplification.discourse.utils.pos.POSTagger; +import org.lambda3.text.simplification.discourse.utils.pos.POSToken; +import org.lambda3.text.simplification.discourse.utils.words.WordsUtils; + +import java.util.ArrayList; +import java.util.Arrays; +import java.util.List; +import java.util.Optional; + +/** + * + */ +public class NonRestrictiveAppositionExtractor extends ExtractionRule { + + @Override + public Optional extract(Leaf leaf) throws ParseTreeException { + //"ROOT <<: (S < VP=vp & << (NP=np1 !< NNP|NNPS & $+ (/,/=comma1 $+ (NP=np2 !$ CC & < NNP|NNPS=entity))))" + TregexPattern p = TregexPattern.compile("ROOT <<: (S < VP=vp & << (NP=np1 $+ (/,/=comma $+ (NP=np2 !$ CC & ?$+ /,/=comma2))))"); + TregexMatcher matcher = p.matcher(leaf.getParseTree()); + + while (matcher.findAt(leaf.getParseTree())) { + + + List leftConstituentWords = new ArrayList<>(); + List words = new ArrayList<>(); + words.addAll(ParseTreeExtractionUtils.getContainingWords(matcher.getNode("np2"))); + Leaf l = new Leaf(getClass().getSimpleName(), WordsUtils.wordsToProperSentenceString(words)); + List pos = POSTagger.parse(l.getText()); + //boolean entity = false; + //for (int i = 0; i < pos.size(); i++) { + //if (pos.get(i).getPos().equals("NNP") || pos.get(i).getPos().equals("NNPS")) { + //entity = true; + //break; + //} + //} + + Tree t1 = matcher.getNode("np1"); + Tree t2 = matcher.getNode("np2"); + boolean entity1 = false; + boolean entity2 = false; + + try { + TNERString ner1 = NERStringParser.parse(t1); + TNERString ner2 = NERStringParser.parse(t2); + + boolean loc1 = false; + boolean loc2 = false; + + for (int i = 0; i < ner1.getWords().size(); i++) { + if (ner1.getTokens().get(i).getCategory().equals("PERSON") || ner1.getTokens().get(i).getCategory().equals("ORGANIZATION")) { + entity1 = true; + break; + } + if (ner1.getTokens().get(i).getCategory().equals("LOCATION")) { + loc1 = true; + break; + } + } + for (int i = 0; i < ner2.getWords().size(); i++) { + if (ner2.getTokens().get(i).getCategory().equals("PERSON") || ner2.getTokens().get(i).getCategory().equals("ORGANIZATION")) { + entity2 = true; + break; + } + if (ner2.getTokens().get(i).getCategory().equals("LOCATION")) { + loc2 = true; + break; + } + } + + if (loc1 && loc2) { + continue; + } + } catch (NERStringParseException e) { + // TODO Auto-generated catch block + e.printStackTrace(); + } + + if (entity1) { + leftConstituentWords.addAll(ParseTreeExtractionUtils.getContainingWords(matcher.getNode("np1"))); + leftConstituentWords.addAll(rephraseAppositionNonRes(matcher.getNode("vp"), matcher.getNode("np1"), matcher.getNode("np2"))); + } else if (entity2) { + leftConstituentWords.addAll(ParseTreeExtractionUtils.getContainingWords(matcher.getNode("np2"))); + leftConstituentWords.addAll(rephraseAppositionNonRes(matcher.getNode("vp"), matcher.getNode("np2"), matcher.getNode("np1"))); + } else { + leftConstituentWords.addAll(ParseTreeExtractionUtils.getContainingWords(matcher.getNode("np1"))); + leftConstituentWords.addAll(rephraseAppositionNonRes(matcher.getNode("vp"), matcher.getNode("np1"), matcher.getNode("np2"))); + } + + Leaf leftConstituent = new Leaf(getClass().getSimpleName(), WordsUtils.wordsToProperSentenceString(leftConstituentWords)); + + // the right, superordinate constituent + List rightConstituentWords = new ArrayList<>(); + rightConstituentWords.addAll(ParseTreeExtractionUtils.getPrecedingWords(leaf.getParseTree(), matcher.getNode("comma"), false)); + if (matcher.getNode("comma2") != null) { + rightConstituentWords.addAll(ParseTreeExtractionUtils.getFollowingWords(leaf.getParseTree(), matcher.getNode("comma2"), false)); + } else { + rightConstituentWords.addAll(ParseTreeExtractionUtils.getFollowingWords(leaf.getParseTree(), matcher.getNode("np2"), false)); + } + Leaf rightConstituent = new Leaf(getClass().getSimpleName(), WordsUtils.wordsToProperSentenceString(rightConstituentWords)); + + // relation + Relation relation = Relation.ELABORATION; //TODO + + Extraction res = new Extraction( + getClass().getSimpleName(), + false, + null, + relation, + false, + Arrays.asList(leftConstituent, rightConstituent) + ); + + return Optional.of(res); + } + + return Optional.empty(); + } +} diff --git a/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/NonRestrictiveRelativeClausePrepWhichWhoExtractor.java b/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/NonRestrictiveRelativeClausePrepWhichWhoExtractor.java new file mode 100644 index 0000000..955637f --- /dev/null +++ b/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/NonRestrictiveRelativeClausePrepWhichWhoExtractor.java @@ -0,0 +1,90 @@ +/* + * ==========================License-Start============================= + * DiscourseSimplification : SubordinationPostExtractor + * + * Copyright © 2017 Lambda³ + * + * GNU General Public License 3 + * This program is free software: you can redistribute it and/or modify + * it under the terms of the GNU General Public License as published by + * the Free Software Foundation, either version 3 of the License, or + * (at your option) any later version. + * + * This program is distributed in the hope that it will be useful, + * but WITHOUT ANY WARRANTY; without even the implied warranty of + * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + * GNU General Public License for more details. + * + * You should have received a copy of the GNU General Public License + * along with this program. If not, see http://www.gnu.org/licenses/. + * ==========================License-End============================== + */ + +package org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules; + +import edu.stanford.nlp.ling.Word; +import edu.stanford.nlp.trees.tregex.TregexMatcher; +import edu.stanford.nlp.trees.tregex.TregexPattern; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.Relation; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.Extraction; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.ExtractionRule; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.model.Leaf; +import org.lambda3.text.simplification.discourse.utils.parseTree.ParseTreeException; +import org.lambda3.text.simplification.discourse.utils.parseTree.ParseTreeExtractionUtils; +import org.lambda3.text.simplification.discourse.utils.words.WordsUtils; + +import java.util.ArrayList; +import java.util.Arrays; +import java.util.List; +import java.util.Optional; + +/** + * + */ +public class NonRestrictiveRelativeClausePrepWhichWhoExtractor extends ExtractionRule { + + @Override + public Optional extract(Leaf leaf) throws ParseTreeException { + TregexPattern p = TregexPattern.compile("ROOT <<: (S << (NP=head <, NP=np & < (/,/=comma $+ (SBAR=sbar <, (WHPP $+ S=s & <, IN=prep & <- WHNP) & ?$+ /,/=comma2))))"); + TregexMatcher matcher = p.matcher(leaf.getParseTree()); + + while (matcher.findAt(leaf.getParseTree())) { + + // the left, superordinate constituent + List leftConstituentWords = new ArrayList<>(); + leftConstituentWords.addAll(ParseTreeExtractionUtils.getPrecedingWords(leaf.getParseTree(), matcher.getNode("comma"), false)); + if (matcher.getNode("comma2") != null) { + leftConstituentWords.addAll(ParseTreeExtractionUtils.getFollowingWords(leaf.getParseTree(), matcher.getNode("comma2"), false)); + } else { + leftConstituentWords.addAll(ParseTreeExtractionUtils.getFollowingWords(leaf.getParseTree(), matcher.getNode("sbar"), false)); + } + Leaf leftConstituent = new Leaf(getClass().getSimpleName(), WordsUtils.wordsToProperSentenceString(leftConstituentWords)); + + // the right, subordinate constituent + List rightConstituentWords = new ArrayList<>(); + rightConstituentWords.addAll(ParseTreeExtractionUtils.getContainingWords(matcher.getNode("s"))); + rightConstituentWords.addAll(ParseTreeExtractionUtils.getContainingWords(matcher.getNode("prep"))); + rightConstituentWords.addAll(ParseTreeExtractionUtils.getWordsInBetween(leaf.getParseTree(), matcher.getNode("np"), matcher.getNode("comma"), true, false)); + Leaf rightConstituent = new Leaf(getClass().getSimpleName(), WordsUtils.wordsToProperSentenceString(rightConstituentWords)); + + // relation + List cuePhraseWords = ParseTreeExtractionUtils.getPrecedingWords(matcher.getNode("sbar"), matcher.getNode("s"), false); + Relation relation = classifer.classifySubordinating(cuePhraseWords).orElse(Relation.DESCRIBING_DEFINITION); + + //TODO not always doDiscourseExtraction? + Extraction res = new Extraction( + getClass().getSimpleName(), + false, + cuePhraseWords, + relation, + true, + Arrays.asList(leftConstituent, rightConstituent) + ); + + return Optional.of(res); + } + + return Optional.empty(); + } + +} diff --git a/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/NonRestrictiveRelativeClauseWhereExtractor.java b/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/NonRestrictiveRelativeClauseWhereExtractor.java new file mode 100644 index 0000000..0e4a7cd --- /dev/null +++ b/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/NonRestrictiveRelativeClauseWhereExtractor.java @@ -0,0 +1,90 @@ +/* + * ==========================License-Start============================= + * DiscourseSimplification : SubordinationPostExtractor + * + * Copyright © 2017 Lambda³ + * + * GNU General Public License 3 + * This program is free software: you can redistribute it and/or modify + * it under the terms of the GNU General Public License as published by + * the Free Software Foundation, either version 3 of the License, or + * (at your option) any later version. + * + * This program is distributed in the hope that it will be useful, + * but WITHOUT ANY WARRANTY; without even the implied warranty of + * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + * GNU General Public License for more details. + * + * You should have received a copy of the GNU General Public License + * along with this program. If not, see http://www.gnu.org/licenses/. + * ==========================License-End============================== + */ + +package org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules; + +import edu.stanford.nlp.ling.Word; +import edu.stanford.nlp.trees.tregex.TregexMatcher; +import edu.stanford.nlp.trees.tregex.TregexPattern; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.Relation; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.Extraction; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.ExtractionRule; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.model.Leaf; +import org.lambda3.text.simplification.discourse.utils.parseTree.ParseTreeException; +import org.lambda3.text.simplification.discourse.utils.parseTree.ParseTreeExtractionUtils; +import org.lambda3.text.simplification.discourse.utils.words.WordsUtils; + +import java.util.ArrayList; +import java.util.Arrays; +import java.util.List; +import java.util.Optional; + +/** + * + */ +public class NonRestrictiveRelativeClauseWhereExtractor extends ExtractionRule { + + @Override + public Optional extract(Leaf leaf) throws ParseTreeException { + TregexPattern p = TregexPattern.compile("ROOT <<: (S << (/.*/=head < (NP|PP $+ (/,/=comma $+ (SBAR=sbar <, (WHADVP $+ S=s & <<: WRB) & ?$+ /,/=comma2)))))"); + TregexMatcher matcher = p.matcher(leaf.getParseTree()); + + while (matcher.findAt(leaf.getParseTree())) { + + // the left, superordinate constituent + List leftConstituentWords = new ArrayList<>(); + leftConstituentWords.addAll(ParseTreeExtractionUtils.getPrecedingWords(leaf.getParseTree(), matcher.getNode("comma"), false)); + if (matcher.getNode("comma2") != null) { + leftConstituentWords.addAll(ParseTreeExtractionUtils.getFollowingWords(leaf.getParseTree(), matcher.getNode("comma2"), false)); + } else { + leftConstituentWords.addAll(ParseTreeExtractionUtils.getFollowingWords(leaf.getParseTree(), matcher.getNode("sbar"), false)); + } + Leaf leftConstituent = new Leaf(getClass().getSimpleName(), WordsUtils.wordsToProperSentenceString(leftConstituentWords)); + + // the right, subordinate constituent + List rightConstituentWords = new ArrayList<>(); + rightConstituentWords.addAll(ParseTreeExtractionUtils.getContainingWords(matcher.getNode("s"))); + Leaf rightConstituent = new Leaf(getClass().getSimpleName(), WordsUtils.wordsToProperSentenceString(rightConstituentWords)); + + // relation + //List cuePhraseWords = ParseTreeExtractionUtils.getPrecedingWords(matcher.getNode("sbar"), matcher.getNode("s"), false); + //Relation relation = classifer.classifySubordinating(cuePhraseWords).orElse(Relation.UNKNOWN_SUBORDINATION); + + Relation relation = Relation.SPATIAL; + + //TODO not always doDiscourseExtraction? + Extraction res = new Extraction( + getClass().getSimpleName(), + false, + null,//cuePhraseWords, + relation, + true, + Arrays.asList(leftConstituent, rightConstituent) + ); + + return Optional.of(res); + } + + return Optional.empty(); + } + +} diff --git a/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/NonRestrictiveRelativeClauseWhoWhichExtractor.java b/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/NonRestrictiveRelativeClauseWhoWhichExtractor.java new file mode 100644 index 0000000..f00bdcc --- /dev/null +++ b/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/NonRestrictiveRelativeClauseWhoWhichExtractor.java @@ -0,0 +1,97 @@ +/* + * ==========================License-Start============================= + * DiscourseSimplification : SubordinationPostExtractor + * + * Copyright © 2017 Lambda³ + * + * GNU General Public License 3 + * This program is free software: you can redistribute it and/or modify + * it under the terms of the GNU General Public License as published by + * the Free Software Foundation, either version 3 of the License, or + * (at your option) any later version. + * + * This program is distributed in the hope that it will be useful, + * but WITHOUT ANY WARRANTY; without even the implied warranty of + * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + * GNU General Public License for more details. + * + * You should have received a copy of the GNU General Public License + * along with this program. If not, see http://www.gnu.org/licenses/. + * ==========================License-End============================== + */ + +package org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules; + +import edu.stanford.nlp.ling.Word; +import edu.stanford.nlp.trees.tregex.TregexMatcher; +import edu.stanford.nlp.trees.tregex.TregexPattern; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.Relation; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.Extraction; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.ExtractionRule; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.model.Leaf; +import org.lambda3.text.simplification.discourse.utils.parseTree.ParseTreeException; +import org.lambda3.text.simplification.discourse.utils.parseTree.ParseTreeExtractionUtils; +import org.lambda3.text.simplification.discourse.utils.words.WordsUtils; + +import java.util.ArrayList; +import java.util.Arrays; +import java.util.List; +import java.util.Optional; + +/** + * + */ +public class NonRestrictiveRelativeClauseWhoWhichExtractor extends ExtractionRule { + + @Override + public Optional extract(Leaf leaf) throws ParseTreeException { + TregexPattern p = TregexPattern.compile("ROOT <<: (S << (NP=head <, NP=np & < (/,/=comma $+ (SBAR=sbar <, (WHNP $+ S=s & <<: WP|WDT) & ?$+ /,/=comma2))))"); + TregexMatcher matcher = p.matcher(leaf.getParseTree()); + + while (matcher.findAt(leaf.getParseTree())) { + + + // the left, superordinate constituent + List leftConstituentWords = new ArrayList<>(); + leftConstituentWords.addAll(ParseTreeExtractionUtils.getPrecedingWords(leaf.getParseTree(), matcher.getNode("comma"), false)); + + if (matcher.getNode("comma2") != null) { + leftConstituentWords.addAll(ParseTreeExtractionUtils.getFollowingWords(leaf.getParseTree(), matcher.getNode("comma2"), false)); + } else { + leftConstituentWords.addAll(ParseTreeExtractionUtils.getFollowingWords(leaf.getParseTree(), matcher.getNode("sbar"), false)); + } + Leaf leftConstituent = new Leaf(getClass().getSimpleName(), WordsUtils.wordsToProperSentenceString(leftConstituentWords)); + + // the right, subordinate constituent + List rightConstituentWords = new ArrayList<>(); + if ( matcher.getNode("s").firstChild().nodeString().split(" ")[0].equals("NP")) { + rightConstituentWords.addAll(ParseTreeExtractionUtils.getContainingWords(matcher.getNode("s"))); + rightConstituentWords.addAll(ParseTreeExtractionUtils.getWordsInBetween(leaf.getParseTree(), matcher.getNode("np"), matcher.getNode("comma"), true, false)); + } else { + rightConstituentWords.addAll(ParseTreeExtractionUtils.getWordsInBetween(leaf.getParseTree(), matcher.getNode("np"), matcher.getNode("comma"), true, false)); + rightConstituentWords.addAll(ParseTreeExtractionUtils.getContainingWords(matcher.getNode("s"))); + } + Leaf rightConstituent = new Leaf(getClass().getSimpleName(), WordsUtils.wordsToProperSentenceString(rightConstituentWords)); + + + // relation + List cuePhraseWords = ParseTreeExtractionUtils.getPrecedingWords(matcher.getNode("sbar"), matcher.getNode("s"), false); + Relation relation = classifer.classifySubordinating(cuePhraseWords).orElse(Relation.DESCRIBING_DEFINITION); + + //TODO not always doDiscourseExtraction? + Extraction res = new Extraction( + getClass().getSimpleName(), + false, + cuePhraseWords, + relation, + true, + Arrays.asList(leftConstituent, rightConstituent) + ); + + return Optional.of(res); + } + + return Optional.empty(); + } + +} diff --git a/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/NonRestrictiveRelativeClauseWhomExtractor.java b/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/NonRestrictiveRelativeClauseWhomExtractor.java new file mode 100644 index 0000000..6384438 --- /dev/null +++ b/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/NonRestrictiveRelativeClauseWhomExtractor.java @@ -0,0 +1,99 @@ +/* + * ==========================License-Start============================= + * DiscourseSimplification : SubordinationPostExtractor + * + * Copyright © 2017 Lambda³ + * + * GNU General Public License 3 + * This program is free software: you can redistribute it and/or modify + * it under the terms of the GNU General Public License as published by + * the Free Software Foundation, either version 3 of the License, or + * (at your option) any later version. + * + * This program is distributed in the hope that it will be useful, + * but WITHOUT ANY WARRANTY; without even the implied warranty of + * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + * GNU General Public License for more details. + * + * You should have received a copy of the GNU General Public License + * along with this program. If not, see http://www.gnu.org/licenses/. + * ==========================License-End============================== + */ + +package org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules; + +import edu.stanford.nlp.ling.Word; +import edu.stanford.nlp.trees.tregex.TregexMatcher; +import edu.stanford.nlp.trees.tregex.TregexPattern; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.Relation; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.Extraction; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.ExtractionRule; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.model.Leaf; +import org.lambda3.text.simplification.discourse.utils.parseTree.ParseTreeException; +import org.lambda3.text.simplification.discourse.utils.parseTree.ParseTreeExtractionUtils; +import org.lambda3.text.simplification.discourse.utils.words.WordsUtils; + +import java.util.ArrayList; +import java.util.Arrays; +import java.util.List; +import java.util.Optional; + +/** + * + */ +public class NonRestrictiveRelativeClauseWhomExtractor extends ExtractionRule { + + @Override + public Optional extract(Leaf leaf) throws ParseTreeException { + //TregexPattern p = TregexPattern.compile("ROOT <<: (S << (NP <, NP=np & < (/,/ $+ (SBAR=sbar <, (WHNP $+ (S=s <, NP=np2 & <- (VP <, /.*/=vp)) & <<: (WP <: whom))))))"); + TregexPattern p = TregexPattern.compile("ROOT <<: (S << (NP=head <, NP=np & < (/,/=comma $+ (SBAR=sbar <, (WHNP $+ (S=s <, NP=np2 & <- (VP=vp ?<+(VP) PP=prep)) & <<: (WP <: whom)) & ?$+ /,/=comma2))))"); + TregexMatcher matcher = p.matcher(leaf.getParseTree()); + + while (matcher.findAt(leaf.getParseTree())) { + + // the left, superordinate constituent + List leftConstituentWords = new ArrayList<>(); + leftConstituentWords.addAll(ParseTreeExtractionUtils.getPrecedingWords(leaf.getParseTree(), matcher.getNode("comma"), false)); + if (matcher.getNode("comma2") != null) { + leftConstituentWords.addAll(ParseTreeExtractionUtils.getFollowingWords(leaf.getParseTree(), matcher.getNode("comma2"), false)); + } else { + leftConstituentWords.addAll(ParseTreeExtractionUtils.getFollowingWords(leaf.getParseTree(), matcher.getNode("sbar"), false)); + } + Leaf leftConstituent = new Leaf(getClass().getSimpleName(), WordsUtils.wordsToProperSentenceString(leftConstituentWords)); + + // the right, subordinate constituent + List rightConstituentWords = new ArrayList<>(); + rightConstituentWords.addAll(ParseTreeExtractionUtils.getContainingWords(matcher.getNode("np2"))); + if (matcher.getNode("prep") != null && matcher.getNode("prep").nodeString().split(" ")[0].equals("PP")) { + rightConstituentWords.addAll(ParseTreeExtractionUtils.getPrecedingWords(matcher.getNode("vp"), matcher.getNode("prep"), false)); + rightConstituentWords.addAll(ParseTreeExtractionUtils.getContainingWords(matcher.getNode("np"))); + rightConstituentWords.addAll(ParseTreeExtractionUtils.getContainingWords(matcher.getNode("prep"))); + } else { + rightConstituentWords.addAll(ParseTreeExtractionUtils.getContainingWords(matcher.getNode("vp"))); + rightConstituentWords.addAll(ParseTreeExtractionUtils.getContainingWords(matcher.getNode("np"))); + } + + //rightConstituentWords.addAll(ParseTreeExtractionUtils.getFollowingWords(leaf.getParseTree(), matcher.getNode("vp"), false)); + Leaf rightConstituent = new Leaf(getClass().getSimpleName(), WordsUtils.wordsToProperSentenceString(rightConstituentWords)); + + // relation + List cuePhraseWords = ParseTreeExtractionUtils.getPrecedingWords(matcher.getNode("sbar"), matcher.getNode("s"), false); + Relation relation = classifer.classifySubordinating(cuePhraseWords).orElse(Relation.DESCRIBING_DEFINITION); + + //TODO not always doDiscourseExtraction? + Extraction res = new Extraction( + getClass().getSimpleName(), + false, + cuePhraseWords, + relation, + true, + Arrays.asList(leftConstituent, rightConstituent) + ); + + return Optional.of(res); + } + + return Optional.empty(); + } + +} diff --git a/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/NonRestrictiveRelativeClauseWhoseExtractor.java b/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/NonRestrictiveRelativeClauseWhoseExtractor.java new file mode 100644 index 0000000..da1b52c --- /dev/null +++ b/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/NonRestrictiveRelativeClauseWhoseExtractor.java @@ -0,0 +1,104 @@ +/* + * ==========================License-Start============================= + * DiscourseSimplification : SubordinationPostExtractor + * + * Copyright © 2017 Lambda³ + * + * GNU General Public License 3 + * This program is free software: you can redistribute it and/or modify + * it under the terms of the GNU General Public License as published by + * the Free Software Foundation, either version 3 of the License, or + * (at your option) any later version. + * + * This program is distributed in the hope that it will be useful, + * but WITHOUT ANY WARRANTY; without even the implied warranty of + * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + * GNU General Public License for more details. + * + * You should have received a copy of the GNU General Public License + * along with this program. If not, see http://www.gnu.org/licenses/. + * ==========================License-End============================== + */ + +package org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules; + +import edu.stanford.nlp.ling.Word; +import edu.stanford.nlp.trees.tregex.TregexMatcher; +import edu.stanford.nlp.trees.tregex.TregexPattern; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.Relation; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.Extraction; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.ExtractionRule; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.model.Leaf; +import org.lambda3.text.simplification.discourse.utils.parseTree.ParseTreeException; +import org.lambda3.text.simplification.discourse.utils.parseTree.ParseTreeExtractionUtils; +import org.lambda3.text.simplification.discourse.utils.words.WordsUtils; + +import java.util.ArrayList; +import java.util.Arrays; +import java.util.List; +import java.util.Optional; + +/** + * + */ +public class NonRestrictiveRelativeClauseWhoseExtractor extends ExtractionRule { + + @Override + public Optional extract(Leaf leaf) throws ParseTreeException { + //TregexPattern p = TregexPattern.compile("ROOT <<: (S << (NP < (NP=np $+ (/,/ $+ (SBAR=sbar <, (/WP\\$/ $+ S=s))))))"); + TregexPattern p = TregexPattern.compile("ROOT <<: (S << (NP=head < (NP=np $+ (/,/=comma $+ (SBAR=sbar <, (WHNP $+ S=s & <, (/WP\\$/ $+ /.*/=nn)) & ?$+ /,/=comma2)))))"); + TregexMatcher matcher = p.matcher(leaf.getParseTree()); + + while (matcher.findAt(leaf.getParseTree())) { + + + // the left, superordinate constituent + List leftConstituentWords = new ArrayList<>(); + leftConstituentWords.addAll(ParseTreeExtractionUtils.getPrecedingWords(leaf.getParseTree(), matcher.getNode("comma"), false)); + + if (matcher.getNode("comma2") != null) { + leftConstituentWords.addAll(ParseTreeExtractionUtils.getFollowingWords(leaf.getParseTree(), matcher.getNode("comma2"), false)); + } else { + leftConstituentWords.addAll(ParseTreeExtractionUtils.getFollowingWords(leaf.getParseTree(), matcher.getNode("sbar"), false)); + } + Leaf leftConstituent = new Leaf(getClass().getSimpleName(), WordsUtils.wordsToProperSentenceString(leftConstituentWords)); + + // the right, subordinate constituent + List rightConstituentWords = new ArrayList<>(); + + if (matcher.getNode("s").firstChild().nodeString().split(" ")[0].equals("NP")) { + rightConstituentWords.addAll(ParseTreeExtractionUtils.getContainingWords(matcher.getNode("s"))); + rightConstituentWords.addAll(ParseTreeExtractionUtils.getContainingWords(matcher.getNode("np"))); + rightConstituentWords.add(new Word("'s")); + rightConstituentWords.addAll(ParseTreeExtractionUtils.getContainingWords(matcher.getNode("nn"))); + } else { + rightConstituentWords.addAll(ParseTreeExtractionUtils.getContainingWords(matcher.getNode("np"))); + rightConstituentWords.add(new Word("'s")); + rightConstituentWords.addAll(ParseTreeExtractionUtils.getContainingWords(matcher.getNode("nn"))); + rightConstituentWords.addAll(ParseTreeExtractionUtils.getContainingWords(matcher.getNode("s"))); + } + Leaf rightConstituent = new Leaf(getClass().getSimpleName(), WordsUtils.wordsToProperSentenceString(rightConstituentWords)); + + // relation + //List cuePhraseWords = ParseTreeExtractionUtils.getPrecedingWords(matcher.getNode("sbar"), matcher.getNode("s"), false); + //Relation relation = classifer.classifySubordinating(cuePhraseWords).orElse(Relation.UNKNOWN_SUBORDINATION); + + Relation relation = Relation.DESCRIBING_DEFINITION; + + //TODO not always doDiscourseExtraction? + Extraction res = new Extraction( + getClass().getSimpleName(), + false, + null,//cuePhraseWords, + relation, + true, + Arrays.asList(leftConstituent, rightConstituent) + ); + + return Optional.of(res); + } + + return Optional.empty(); + } + +} diff --git a/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/ParticipialMiddleExtractor.java b/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/ParticipialMiddleExtractor.java new file mode 100644 index 0000000..e1f7bac --- /dev/null +++ b/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/ParticipialMiddleExtractor.java @@ -0,0 +1,96 @@ +/* + * ==========================License-Start============================= + * DiscourseSimplification : SubordinationPostExtractor + * + * Copyright © 2017 Lambda³ + * + * GNU General Public License 3 + * This program is free software: you can redistribute it and/or modify + * it under the terms of the GNU General Public License as published by + * the Free Software Foundation, either version 3 of the License, or + * (at your option) any later version. + * + * This program is distributed in the hope that it will be useful, + * but WITHOUT ANY WARRANTY; without even the implied warranty of + * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + * GNU General Public License for more details. + * + * You should have received a copy of the GNU General Public License + * along with this program. If not, see http://www.gnu.org/licenses/. + * ==========================License-End============================== + */ + +package org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules; + +import edu.stanford.nlp.ling.Word; +import edu.stanford.nlp.trees.tregex.TregexMatcher; +import edu.stanford.nlp.trees.tregex.TregexPattern; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.Relation; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.Extraction; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.ExtractionRule; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.model.Leaf; +import org.lambda3.text.simplification.discourse.utils.parseTree.ParseTreeException; +import org.lambda3.text.simplification.discourse.utils.parseTree.ParseTreeExtractionUtils; +import org.lambda3.text.simplification.discourse.utils.words.WordsUtils; + +import java.util.ArrayList; +import java.util.Arrays; +import java.util.List; +import java.util.Optional; + +/** + * + */ +public class ParticipialMiddleExtractor extends ExtractionRule { + + @Override + public Optional extract(Leaf leaf) throws ParseTreeException { + TregexPattern p = TregexPattern.compile("ROOT <<: (S=s < VP=mainverb &<< (NP|PP <, (NP=np ?$+ PP=pp & $++ (/,/=comma $+ (VP=vp [<, (ADVP|PP $+ VBG|VBN=vbgn) | <, VBG|VBN=vbgn] & ?$+ /,/=comma2))))) "); + TregexMatcher matcher = p.matcher(leaf.getParseTree()); + + while (matcher.findAt(leaf.getParseTree())) { + //System.out.println("******************"); + + // the left, superordinate constituent + List leftConstituentWords = new ArrayList<>(); + leftConstituentWords.addAll(ParseTreeExtractionUtils.getPrecedingWords(leaf.getParseTree(), matcher.getNode("comma"), false)); + + if (matcher.getNode("comma2") != null) { + leftConstituentWords.addAll(ParseTreeExtractionUtils.getFollowingWords(leaf.getParseTree(), matcher.getNode("comma2"), false)); + } else { + leftConstituentWords.addAll(ParseTreeExtractionUtils.getFollowingWords(leaf.getParseTree(), matcher.getNode("vp"), false)); + } + + Leaf leftConstituent = new Leaf(getClass().getSimpleName(), WordsUtils.wordsToProperSentenceString(leftConstituentWords)); + + // the right, subordinate constituent + List rightConstituentWords = new ArrayList<>(); + rightConstituentWords.addAll(ParseTreeExtractionUtils.getContainingWords(matcher.getNode("np"))); + if (matcher.getNode("pp") != null) { + rightConstituentWords.addAll(ParseTreeExtractionUtils.getContainingWords(matcher.getNode("pp"))); + } + rightConstituentWords.addAll(rephraseAppositionNonRes(matcher.getNode("mainverb"), matcher.getNode("np"), matcher.getNode("vp"))); + Leaf rightConstituent = new Leaf(getClass().getSimpleName(), WordsUtils.wordsToProperSentenceString(rightConstituentWords)); + + + // relation + List cuePhraseWords = ParseTreeExtractionUtils.getPrecedingWords(matcher.getNode("vbgn"), matcher.getNode("s"), false); + Relation relation = classifer.classifySubordinating(cuePhraseWords).orElse(Relation.UNKNOWN_SUBORDINATION); + + //TODO not always doDiscourseExtraction? + Extraction res = new Extraction( + getClass().getSimpleName(), + false, + cuePhraseWords, + relation, + true, + Arrays.asList(leftConstituent, rightConstituent) + ); + + return Optional.of(res); + } + + return Optional.empty(); + } + +} diff --git a/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/PreAttributionExtractor.java b/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/PreAttributionExtractor.java new file mode 100644 index 0000000..820f1e8 --- /dev/null +++ b/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/PreAttributionExtractor.java @@ -0,0 +1,102 @@ +/* + * ==========================License-Start============================= + * DiscourseSimplification : SubordinationPostISAExtractor2 + * + * Copyright © 2017 Lambda³ + * + * GNU General Public License 3 + * This program is free software: you can redistribute it and/or modify + * it under the terms of the GNU General Public License as published by + * the Free Software Foundation, either version 3 of the License, or + * (at your option) any later version. + * + * This program is distributed in the hope that it will be useful, + * but WITHOUT ANY WARRANTY; without even the implied warranty of + * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + * GNU General Public License for more details. + * + * You should have received a copy of the GNU General Public License + * along with this program. If not, see http://www.gnu.org/licenses/. + * ==========================License-End============================== + */ + +package org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules; + +import edu.stanford.nlp.ling.Word; +import edu.stanford.nlp.trees.tregex.TregexMatcher; +import edu.stanford.nlp.trees.tregex.TregexPattern; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.Relation; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.Extraction; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.ExtractionRule; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.model.Leaf; +import org.lambda3.text.simplification.discourse.utils.parseTree.ParseTreeException; +import org.lambda3.text.simplification.discourse.utils.parseTree.ParseTreeExtractionUtils; +import org.lambda3.text.simplification.discourse.utils.words.WordsUtils; + +import java.util.ArrayList; +import java.util.Arrays; +import java.util.List; +import java.util.Optional; + +/** + * + */ +public class PreAttributionExtractor extends ExtractionRule { + + @Override + public Optional extract(Leaf leaf) throws ParseTreeException { + TregexPattern p = TregexPattern.compile("ROOT <<: (S < (S|SBAR|SBARQ=s $.. (NP=np [$,, VP=vpb | $.. VP=vpa])))"); + TregexMatcher matcher = p.matcher(leaf.getParseTree()); + + while (matcher.findAt(leaf.getParseTree())) { + + // the left, !superordinate! constituent + List leftConstituentWords = ParseTreeExtractionUtils.getContainingWords(matcher.getNode("s")); + Leaf leftConstituent = new Leaf(getClass().getSimpleName(), WordsUtils.wordsToProperSentenceString(leftConstituentWords)); + + // the right, !subordinate! constituent + List rightConstituentWords = new ArrayList<>(); + rightConstituentWords.addAll(ParseTreeExtractionUtils.getPrecedingWords(leaf.getParseTree(), matcher.getNode("s"), false)); + rightConstituentWords.addAll(ParseTreeExtractionUtils.getContainingWords(matcher.getNode("np"))); + if (matcher.getNode("vpb") != null) { + rightConstituentWords.addAll(ParseTreeExtractionUtils.getContainingWords(matcher.getNode("vpb"))); + rightConstituentWords.addAll(ParseTreeExtractionUtils.getFollowingWords(leaf.getParseTree(), matcher.getNode("np"), false)); + } else { + rightConstituentWords.addAll(ParseTreeExtractionUtils.getContainingWords(matcher.getNode("vpa"))); + rightConstituentWords.addAll(ParseTreeExtractionUtils.getFollowingWords(leaf.getParseTree(), matcher.getNode("vpa"), false)); + } + + // rephrase + rightConstituentWords = rephraseIntraSententialAttribution(rightConstituentWords); + Leaf rightConstituent = new Leaf(getClass().getSimpleName(), WordsUtils.wordsToProperSentenceString(rightConstituentWords)); + rightConstituent.dontAllowSplit(); + rightConstituent.setToSimpleContext(true); + + // relation + Optional headVerb; + if (matcher.getNode("vpb") != null) { + headVerb = getHeadVerb(matcher.getNode("vpb")); + } else { + headVerb = getHeadVerb(matcher.getNode("vpa")); + } + + // only extract if verb matches + if (headVerb.isPresent() && classifer.checkAttribution(headVerb.get())) { + Relation relation = Relation.ATTRIBUTION; + + Extraction res = new Extraction( + getClass().getSimpleName(), + false, + null, + relation, + true, + Arrays.asList(leftConstituent, rightConstituent) + ); + + return Optional.of(res); + } + } + + return Optional.empty(); + } +} diff --git a/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/PrepositionalAttachedtoVPExtractor.java b/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/PrepositionalAttachedtoVPExtractor.java new file mode 100644 index 0000000..1ebf0bc --- /dev/null +++ b/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/PrepositionalAttachedtoVPExtractor.java @@ -0,0 +1,105 @@ +/* + * ==========================License-Start============================= + * DiscourseSimplification : SubordinationPostExtractor + * + * Copyright © 2017 Lambda³ + * + * GNU General Public License 3 + * This program is free software: you can redistribute it and/or modify + * it under the terms of the GNU General Public License as published by + * the Free Software Foundation, either version 3 of the License, or + * (at your option) any later version. + * + * This program is distributed in the hope that it will be useful, + * but WITHOUT ANY WARRANTY; without even the implied warranty of + * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + * GNU General Public License for more details. + * + * You should have received a copy of the GNU General Public License + * along with this program. If not, see http://www.gnu.org/licenses/. + * ==========================License-End============================== + */ + +package org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules; + +import edu.stanford.nlp.ling.Word; +import edu.stanford.nlp.trees.Tree; +import edu.stanford.nlp.trees.tregex.TregexMatcher; +import edu.stanford.nlp.trees.tregex.TregexPattern; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.Relation; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.Extraction; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.ExtractionRule; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.model.Leaf; +import org.lambda3.text.simplification.discourse.utils.ner.NERStringParseException; +import org.lambda3.text.simplification.discourse.utils.ner.NERStringParser; +import org.lambda3.text.simplification.discourse.utils.ner.tner.TNERString; +import org.lambda3.text.simplification.discourse.utils.parseTree.ParseTreeException; +import org.lambda3.text.simplification.discourse.utils.parseTree.ParseTreeExtractionUtils; +import org.lambda3.text.simplification.discourse.utils.pos.POSTagger; +import org.lambda3.text.simplification.discourse.utils.pos.POSToken; +import org.lambda3.text.simplification.discourse.utils.words.WordsUtils; + +import java.util.ArrayList; +import java.util.Arrays; +import java.util.List; +import java.util.Optional; + +/** + * + */ +public class PrepositionalAttachedtoVPExtractor extends ExtractionRule { + + @Override + public Optional extract(Leaf leaf) throws ParseTreeException { + + TregexPattern p = TregexPattern.compile("ROOT <<: (S <+(S|VP) (VP < (PP=prep $- NP|PP)) & < VP=vp)"); + TregexMatcher matcher = p.matcher(leaf.getParseTree()); + + while (matcher.findAt(leaf.getParseTree())) { + + // rephrase + List leftConstituentWords = rephraseEnablement(matcher.getNode("prep"), matcher.getNode("vp")); + Leaf leftConstituent = new Leaf(getClass().getSimpleName(), WordsUtils.wordsToProperSentenceString(leftConstituentWords)); + //leftConstituent.dontAllowSplit(); + leftConstituent.setToSimpleContext(true); + + // the right, superordinate constituent + List rightConstituentWords = new ArrayList<>(); + rightConstituentWords.addAll(ParseTreeExtractionUtils.getPrecedingWords(leaf.getParseTree(), matcher.getNode("prep"), false)); + rightConstituentWords.addAll(ParseTreeExtractionUtils.getFollowingWords(leaf.getParseTree(), matcher.getNode("prep"), false)); + Leaf rightConstituent = new Leaf(getClass().getSimpleName(), WordsUtils.wordsToProperSentenceString(rightConstituentWords)); + System.out.println(rightConstituent); + + // relation + Tree t = leftConstituent.getParseTree(); + Relation relation = Relation.UNKNOWN_SUBORDINATION; + List pos = POSTagger.parse(leftConstituent.getText()); + try { + TNERString ner = NERStringParser.parse(t); + for (int i = 0; i < ner.getTokens().size(); i++) { + if (ner.getTokens().get(i).getCategory().equals("LOCATION")) { + relation = Relation.SPATIAL; + } else if (ner.getTokens().get(i).getCategory().equals("DATE") || pos.get(i).getPos().equals("CD")) { + relation = Relation.TEMPORAL; + } + } + } catch (NERStringParseException e) { + // TODO Auto-generated catch block + e.printStackTrace(); + } + + Extraction res = new Extraction( + getClass().getSimpleName(), + false, + null, + relation, + false, + Arrays.asList(leftConstituent, rightConstituent) + ); + + return Optional.of(res); + } + + return Optional.empty(); + } +} diff --git a/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/PrepositionalInitialExtractor.java b/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/PrepositionalInitialExtractor.java new file mode 100644 index 0000000..43881bf --- /dev/null +++ b/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/PrepositionalInitialExtractor.java @@ -0,0 +1,106 @@ +/* + * ==========================License-Start============================= + * DiscourseSimplification : SubordinationPostExtractor + * + * Copyright © 2017 Lambda³ + * + * GNU General Public License 3 + * This program is free software: you can redistribute it and/or modify + * it under the terms of the GNU General Public License as published by + * the Free Software Foundation, either version 3 of the License, or + * (at your option) any later version. + * + * This program is distributed in the hope that it will be useful, + * but WITHOUT ANY WARRANTY; without even the implied warranty of + * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + * GNU General Public License for more details. + * + * You should have received a copy of the GNU General Public License + * along with this program. If not, see http://www.gnu.org/licenses/. + * ==========================License-End============================== + */ + +package org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules; + +import edu.stanford.nlp.ling.Word; +import edu.stanford.nlp.trees.Tree; +import edu.stanford.nlp.trees.tregex.TregexMatcher; +import edu.stanford.nlp.trees.tregex.TregexPattern; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.Relation; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.Extraction; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.ExtractionRule; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.model.Leaf; +import org.lambda3.text.simplification.discourse.utils.ner.NERStringParseException; +import org.lambda3.text.simplification.discourse.utils.ner.NERStringParser; +import org.lambda3.text.simplification.discourse.utils.ner.tner.TNERString; +import org.lambda3.text.simplification.discourse.utils.parseTree.ParseTreeException; +import org.lambda3.text.simplification.discourse.utils.parseTree.ParseTreeExtractionUtils; +import org.lambda3.text.simplification.discourse.utils.pos.POSTagger; +import org.lambda3.text.simplification.discourse.utils.pos.POSToken; +import org.lambda3.text.simplification.discourse.utils.words.WordsUtils; + +import java.util.ArrayList; +import java.util.Arrays; +import java.util.List; +import java.util.Optional; + +/** + * + */ +public class PrepositionalInitialExtractor extends ExtractionRule { + + @Override + public Optional extract(Leaf leaf) throws ParseTreeException { + + TregexPattern p = TregexPattern.compile("ROOT <<: (S <, (PP=prep ?$+ /,/ & $++ VP=vp))"); + TregexMatcher matcher = p.matcher(leaf.getParseTree()); + + while (matcher.findAt(leaf.getParseTree())) { + + // rephrase + List leftConstituentWords = rephraseEnablement(matcher.getNode("prep"), matcher.getNode("vp")); + Leaf leftConstituent = new Leaf(getClass().getSimpleName(), WordsUtils.wordsToProperSentenceString(leftConstituentWords)); + //leftConstituent.dontAllowSplit(); + leftConstituent.setToSimpleContext(true); + + + // the right, superordinate constituent + List rightConstituentWords = new ArrayList<>(); + rightConstituentWords.addAll(ParseTreeExtractionUtils.getPrecedingWords(leaf.getParseTree(), matcher.getNode("prep"), false)); + rightConstituentWords.addAll(ParseTreeExtractionUtils.getFollowingWords(leaf.getParseTree(), matcher.getNode("prep"), false)); + Leaf rightConstituent = new Leaf(getClass().getSimpleName(), WordsUtils.wordsToProperSentenceString(rightConstituentWords)); + + // relation + // relation + Tree t = leftConstituent.getParseTree(); + Relation relation = Relation.UNKNOWN_SUBORDINATION; + List pos = POSTagger.parse(leftConstituent.getText()); + try { + TNERString ner = NERStringParser.parse(t); + for (int i = 0; i < ner.getTokens().size(); i++) { + if (ner.getTokens().get(i).getCategory().equals("LOCATION")) { + relation = Relation.SPATIAL; + } else if (ner.getTokens().get(i).getCategory().equals("DATE") || pos.get(i).getPos().equals("CD")) { + relation = Relation.TEMPORAL; + } + } + } catch (NERStringParseException e) { + // TODO Auto-generated catch block + e.printStackTrace(); + } + + Extraction res = new Extraction( + getClass().getSimpleName(), + false, + null, + relation, + false, + Arrays.asList(leftConstituent, rightConstituent) + ); + + return Optional.of(res); + } + + return Optional.empty(); + } +} diff --git a/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/PrepositionalMiddleFinalExtractor.java b/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/PrepositionalMiddleFinalExtractor.java new file mode 100644 index 0000000..1be65c0 --- /dev/null +++ b/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/PrepositionalMiddleFinalExtractor.java @@ -0,0 +1,110 @@ +/* + * ==========================License-Start============================= + * DiscourseSimplification : SubordinationPostExtractor + * + * Copyright © 2017 Lambda³ + * + * GNU General Public License 3 + * This program is free software: you can redistribute it and/or modify + * it under the terms of the GNU General Public License as published by + * the Free Software Foundation, either version 3 of the License, or + * (at your option) any later version. + * + * This program is distributed in the hope that it will be useful, + * but WITHOUT ANY WARRANTY; without even the implied warranty of + * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + * GNU General Public License for more details. + * + * You should have received a copy of the GNU General Public License + * along with this program. If not, see http://www.gnu.org/licenses/. + * ==========================License-End============================== + */ + +package org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules; + +import edu.stanford.nlp.ling.Word; +import edu.stanford.nlp.trees.Tree; +import edu.stanford.nlp.trees.tregex.TregexMatcher; +import edu.stanford.nlp.trees.tregex.TregexPattern; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.Relation; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.Extraction; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.ExtractionRule; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.model.Leaf; +import org.lambda3.text.simplification.discourse.utils.ner.NERStringParseException; +import org.lambda3.text.simplification.discourse.utils.ner.NERStringParser; +import org.lambda3.text.simplification.discourse.utils.ner.tner.TNERString; +import org.lambda3.text.simplification.discourse.utils.parseTree.ParseTreeException; +import org.lambda3.text.simplification.discourse.utils.parseTree.ParseTreeExtractionUtils; +import org.lambda3.text.simplification.discourse.utils.pos.POSTagger; +import org.lambda3.text.simplification.discourse.utils.pos.POSToken; +import org.lambda3.text.simplification.discourse.utils.words.WordsUtils; + +import java.util.ArrayList; +import java.util.Arrays; +import java.util.List; +import java.util.Optional; + +/** + * + */ +public class PrepositionalMiddleFinalExtractor extends ExtractionRule { + + @Override + public Optional extract(Leaf leaf) throws ParseTreeException { + + TregexPattern p = TregexPattern.compile("ROOT <<: (S < VP=vp & << (/,/=comma1 $+ (PP=prep ?$+ /,/=comma2)))"); + TregexMatcher matcher = p.matcher(leaf.getParseTree()); + + while (matcher.findAt(leaf.getParseTree())) { + + // rephrase + List leftConstituentWords = rephraseEnablement(matcher.getNode("prep"), matcher.getNode("vp")); + Leaf leftConstituent = new Leaf(getClass().getSimpleName(), WordsUtils.wordsToProperSentenceString(leftConstituentWords)); + //leftConstituent.dontAllowSplit(); + leftConstituent.setToSimpleContext(true); + + + // the right, superordinate constituent + List rightConstituentWords = new ArrayList<>(); + rightConstituentWords.addAll(ParseTreeExtractionUtils.getPrecedingWords(leaf.getParseTree(), matcher.getNode("comma1"), false)); + if (matcher.getNode("comma2") != null) { + rightConstituentWords.addAll(ParseTreeExtractionUtils.getFollowingWords(leaf.getParseTree(), matcher.getNode("comma2"), false)); + } else { + rightConstituentWords.addAll(ParseTreeExtractionUtils.getFollowingWords(leaf.getParseTree(), matcher.getNode("prep"), false)); + } + + Leaf rightConstituent = new Leaf(getClass().getSimpleName(), WordsUtils.wordsToProperSentenceString(rightConstituentWords)); + + // relation + Tree t = leftConstituent.getParseTree(); + Relation relation = Relation.UNKNOWN_SUBORDINATION; + List pos = POSTagger.parse(leftConstituent.getText()); + try { + TNERString ner = NERStringParser.parse(t); + for (int i = 0; i < ner.getTokens().size(); i++) { + if (ner.getTokens().get(i).getCategory().equals("LOCATION")) { + relation = Relation.SPATIAL; + } else if (ner.getTokens().get(i).getCategory().equals("DATE") || pos.get(i).getPos().equals("CD")) { + relation = Relation.TEMPORAL; + } + } + } catch (NERStringParseException e) { + // TODO Auto-generated catch block + e.printStackTrace(); + } + + Extraction res = new Extraction( + getClass().getSimpleName(), + false, + null, + relation, + false, + Arrays.asList(leftConstituent, rightConstituent) + ); + + return Optional.of(res); + } + + return Optional.empty(); + } +} diff --git a/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/PurposePostExtractor.java b/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/PurposePostExtractor.java new file mode 100644 index 0000000..6ce2f1b --- /dev/null +++ b/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/PurposePostExtractor.java @@ -0,0 +1,86 @@ +/* + * ==========================License-Start============================= + * DiscourseSimplification : EnablementPostExtractor + * + * Copyright © 2017 Lambda³ + * + * GNU General Public License 3 + * This program is free software: you can redistribute it and/or modify + * it under the terms of the GNU General Public License as published by + * the Free Software Foundation, either version 3 of the License, or + * (at your option) any later version. + * + * This program is distributed in the hope that it will be useful, + * but WITHOUT ANY WARRANTY; without even the implied warranty of + * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + * GNU General Public License for more details. + * + * You should have received a copy of the GNU General Public License + * along with this program. If not, see http://www.gnu.org/licenses/. + * ==========================License-End============================== + */ + +package org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules; + +import edu.stanford.nlp.ling.Word; +import edu.stanford.nlp.trees.tregex.TregexMatcher; +import edu.stanford.nlp.trees.tregex.TregexPattern; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.Relation; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.ExtractionRule; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.Extraction; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.model.Leaf; +import org.lambda3.text.simplification.discourse.utils.parseTree.ParseTreeException; +import org.lambda3.text.simplification.discourse.utils.parseTree.ParseTreeExtractionUtils; +import org.lambda3.text.simplification.discourse.utils.words.WordsUtils; + +import java.util.ArrayList; +import java.util.Arrays; +import java.util.List; +import java.util.Optional; + +/** + * + */ +public class PurposePostExtractor extends ExtractionRule { + + @Override + public Optional extract(Leaf leaf) throws ParseTreeException { + + TregexPattern p = TregexPattern.compile("ROOT <<: (S < (NP $.. (VP=vp <+(VP) (NP|PP $.. (S=s <<, (VP <<, /(T|t)o/))))))"); + TregexMatcher matcher = p.matcher(leaf.getParseTree()); + + while (matcher.findAt(leaf.getParseTree())) { + + // the left, superordinate constituent + List leftConstituentWords = new ArrayList<>(); + leftConstituentWords.addAll(ParseTreeExtractionUtils.getPrecedingWords(leaf.getParseTree(), matcher.getNode("s"), false)); + leftConstituentWords.addAll(ParseTreeExtractionUtils.getFollowingWords(leaf.getParseTree(), matcher.getNode("s"), false)); + Leaf leftConstituent = new Leaf(getClass().getSimpleName(), WordsUtils.wordsToProperSentenceString(leftConstituentWords)); + + // the right, subordinate constituent +// List rightConstituentWords = ParseTreeExtractionUtils.getContainingWords(matcher.getNode("s")); + + // rephrase + List rightConstituentWords = rephraseEnablement(matcher.getNode("s"), matcher.getNode("vp")); + Leaf rightConstituent = new Leaf(getClass().getSimpleName(), WordsUtils.wordsToProperSentenceString(rightConstituentWords)); + rightConstituent.dontAllowSplit(); + rightConstituent.setToSimpleContext(true); + + // relation + Relation relation = Relation.PURPOSE; + + Extraction res = new Extraction( + getClass().getSimpleName(), + false, + null, + relation, + true, + Arrays.asList(leftConstituent, rightConstituent) + ); + + return Optional.of(res); + } + + return Optional.empty(); + } +} diff --git a/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/PurposePreExtractor.java b/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/PurposePreExtractor.java new file mode 100644 index 0000000..86d22fa --- /dev/null +++ b/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/PurposePreExtractor.java @@ -0,0 +1,86 @@ +/* + * ==========================License-Start============================= + * DiscourseSimplification : EnablementPreExtractor + * + * Copyright © 2017 Lambda³ + * + * GNU General Public License 3 + * This program is free software: you can redistribute it and/or modify + * it under the terms of the GNU General Public License as published by + * the Free Software Foundation, either version 3 of the License, or + * (at your option) any later version. + * + * This program is distributed in the hope that it will be useful, + * but WITHOUT ANY WARRANTY; without even the implied warranty of + * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + * GNU General Public License for more details. + * + * You should have received a copy of the GNU General Public License + * along with this program. If not, see http://www.gnu.org/licenses/. + * ==========================License-End============================== + */ + +package org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules; + +import edu.stanford.nlp.ling.Word; +import edu.stanford.nlp.trees.tregex.TregexMatcher; +import edu.stanford.nlp.trees.tregex.TregexPattern; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.Relation; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.ExtractionRule; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.Extraction; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.model.Leaf; +import org.lambda3.text.simplification.discourse.utils.parseTree.ParseTreeException; +import org.lambda3.text.simplification.discourse.utils.parseTree.ParseTreeExtractionUtils; +import org.lambda3.text.simplification.discourse.utils.words.WordsUtils; + +import java.util.ArrayList; +import java.util.Arrays; +import java.util.List; +import java.util.Optional; + +/** + * + */ +public class PurposePreExtractor extends ExtractionRule { + + @Override + public Optional extract(Leaf leaf) throws ParseTreeException { + + TregexPattern p = TregexPattern.compile("ROOT <<: (S < (S=s <<, (VP <<, /(T|t)o/) $.. (NP $.. VP=vp)))"); + TregexMatcher matcher = p.matcher(leaf.getParseTree()); + + while (matcher.findAt(leaf.getParseTree())) { + + // the left, subordinate constituent +// List leftConstituentWords = ParseTreeExtractionUtils.getContainingWords(matcher.getNode("s")); + + // rephrase + List leftConstituentWords = rephraseEnablement(matcher.getNode("s"), matcher.getNode("vp")); + Leaf leftConstituent = new Leaf(getClass().getSimpleName(), WordsUtils.wordsToProperSentenceString(leftConstituentWords)); + leftConstituent.dontAllowSplit(); + leftConstituent.setToSimpleContext(true); + + // the right, superordinate constituent + List rightConstituentWords = new ArrayList<>(); + rightConstituentWords.addAll(ParseTreeExtractionUtils.getPrecedingWords(leaf.getParseTree(), matcher.getNode("s"), false)); + rightConstituentWords.addAll(ParseTreeExtractionUtils.getFollowingWords(leaf.getParseTree(), matcher.getNode("s"), false)); + Leaf rightConstituent = new Leaf(getClass().getSimpleName(), WordsUtils.wordsToProperSentenceString(rightConstituentWords)); + + // relation + Relation relation = Relation.PURPOSE; + + Extraction res = new Extraction( + getClass().getSimpleName(), + false, + null, + relation, + false, + Arrays.asList(leftConstituent, rightConstituent) + ); + + return Optional.of(res); + } + + return Optional.empty(); + } +} diff --git a/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/QuotedAttributionPostExtractor.java b/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/QuotedAttributionPostExtractor.java new file mode 100644 index 0000000..969c0ff --- /dev/null +++ b/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/QuotedAttributionPostExtractor.java @@ -0,0 +1,98 @@ +/* + * ==========================License-Start============================= + * DiscourseSimplification : QuotedISAPreExtractor + * + * Copyright © 2017 Lambda³ + * + * GNU General Public License 3 + * This program is free software: you can redistribute it and/or modify + * it under the terms of the GNU General Public License as published by + * the Free Software Foundation, either version 3 of the License, or + * (at your option) any later version. + * + * This program is distributed in the hope that it will be useful, + * but WITHOUT ANY WARRANTY; without even the implied warranty of + * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + * GNU General Public License for more details. + * + * You should have received a copy of the GNU General Public License + * along with this program. If not, see http://www.gnu.org/licenses/. + * ==========================License-End============================== + */ + +package org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules; + +import edu.stanford.nlp.ling.Word; +import edu.stanford.nlp.trees.Tree; +import edu.stanford.nlp.trees.tregex.TregexMatcher; +import edu.stanford.nlp.trees.tregex.TregexPattern; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.Relation; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.ExtractionRule; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.Extraction; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.model.Leaf; +import org.lambda3.text.simplification.discourse.utils.parseTree.ParseTreeException; +import org.lambda3.text.simplification.discourse.utils.parseTree.ParseTreeExtractionUtils; +import org.lambda3.text.simplification.discourse.utils.words.WordsUtils; +import org.slf4j.Logger; +import org.slf4j.LoggerFactory; + +import java.util.ArrayList; +import java.util.Arrays; +import java.util.List; +import java.util.Optional; + +/** + * + */ +public class QuotedAttributionPostExtractor extends ExtractionRule { + private final static Logger LOG = LoggerFactory.getLogger(ExtractionRule.class); + + @Override + public Optional extract(Leaf leaf) throws ParseTreeException { +// TregexPattern p = TregexPattern.compile("ROOT <<: (S << (NP .. (VP .. (/``/=start .. (NP .. (/VB./ .. (/''/=end)))))))"); +// TregexPattern p = TregexPattern.compile("ROOT <<: (S << (NP .. ((/V../ > VP=vp) .. (/``/=start .. (/''/=end)))))"); + TregexPattern p = TregexPattern.compile("ROOT <<: (S < (NP $.. (VP=vp <+(VP) (SBAR=sbar [,, /``/=start | <<, /``/=start] [.. /''/=end | <<- /''/=end]))))"); + TregexMatcher matcher = p.matcher(leaf.getParseTree()); + + while (matcher.findAt(leaf.getParseTree())) { + Tree quoteStart = (matcher.getNode("start")); + Tree quoteEnd = matcher.getNode("end"); + + // the left, subordinate constituent + List leftConstituentWords = new ArrayList<>(); + leftConstituentWords.addAll(ParseTreeExtractionUtils.getPrecedingWords(leaf.getParseTree(), quoteStart, false)); + leftConstituentWords.addAll(ParseTreeExtractionUtils.getFollowingWords(leaf.getParseTree(), quoteEnd, false)); + + // rephrase + leftConstituentWords = rephraseIntraSententialAttribution(leftConstituentWords); + Leaf leftConstituent = new Leaf(getClass().getSimpleName(), WordsUtils.wordsToProperSentenceString(leftConstituentWords)); + leftConstituent.dontAllowSplit(); + leftConstituent.setToSimpleContext(true); + + // the right, superordinate constituent + List rightConstituentWords = ParseTreeExtractionUtils.getWordsInBetween(leaf.getParseTree(), quoteStart, quoteEnd, false, false); + Leaf rightConstituent = new Leaf(getClass().getSimpleName(), WordsUtils.wordsToProperSentenceString(rightConstituentWords)); + + // relation + Optional headVerb = getHeadVerb(matcher.getNode("vp")); + + // only extract if verb matches + if (headVerb.isPresent() && classifer.checkAttribution(headVerb.get())) { + Relation relation = Relation.ATTRIBUTION; + + Extraction res = new Extraction( + getClass().getSimpleName(), + false, + null, + relation, + false, + Arrays.asList(leftConstituent, rightConstituent) + ); + + return Optional.of(res); + } + } + + return Optional.empty(); + } +} diff --git a/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/QuotedAttributionPreExtractor.java b/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/QuotedAttributionPreExtractor.java new file mode 100644 index 0000000..c915380 --- /dev/null +++ b/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/QuotedAttributionPreExtractor.java @@ -0,0 +1,110 @@ +/* + * ==========================License-Start============================= + * DiscourseSimplification : QuotedISAPostExtractor + * + * Copyright © 2017 Lambda³ + * + * GNU General Public License 3 + * This program is free software: you can redistribute it and/or modify + * it under the terms of the GNU General Public License as published by + * the Free Software Foundation, either version 3 of the License, or + * (at your option) any later version. + * + * This program is distributed in the hope that it will be useful, + * but WITHOUT ANY WARRANTY; without even the implied warranty of + * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + * GNU General Public License for more details. + * + * You should have received a copy of the GNU General Public License + * along with this program. If not, see http://www.gnu.org/licenses/. + * ==========================License-End============================== + */ + +package org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules; + +import edu.stanford.nlp.ling.Word; +import edu.stanford.nlp.trees.Tree; +import edu.stanford.nlp.trees.tregex.TregexMatcher; +import edu.stanford.nlp.trees.tregex.TregexPattern; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.Relation; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.ExtractionRule; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.Extraction; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.model.Leaf; +import org.lambda3.text.simplification.discourse.utils.parseTree.ParseTreeException; +import org.lambda3.text.simplification.discourse.utils.parseTree.ParseTreeExtractionUtils; +import org.lambda3.text.simplification.discourse.utils.words.WordsUtils; +import org.slf4j.Logger; +import org.slf4j.LoggerFactory; + +import java.util.ArrayList; +import java.util.Arrays; +import java.util.List; +import java.util.Optional; + +/** + * + */ +public class QuotedAttributionPreExtractor extends ExtractionRule { + private final static Logger LOG = LoggerFactory.getLogger(ExtractionRule.class); + + @Override + public Optional extract(Leaf leaf) throws ParseTreeException { +// TregexPattern p = TregexPattern.compile("ROOT <<: (S << (/``/=start .. (NP .. (/VB./ .. (/''/=end .. (NP .. VP))))))"); +// TregexPattern p = TregexPattern.compile("ROOT <<: (S << (/``/=start .. (/''/=end .. (NP $.. VP=vp))))"); + TregexPattern p = TregexPattern.compile("ROOT <<: (S < (S|SBAR|SBARQ [,, /``/=start | <<, /``/=start] [.. /''/=end | <<- /''/=end] $.. (NP=np [$,, VP=vpb | $.. VP=vpa])))"); + TregexMatcher matcher = p.matcher(leaf.getParseTree()); + + while (matcher.findAt(leaf.getParseTree())) { + Tree quoteStart = (matcher.getNode("start")); + Tree quoteEnd = matcher.getNode("end"); + + // the left, superordinate constituent + List leftConstituentWords = ParseTreeExtractionUtils.getWordsInBetween(leaf.getParseTree(), quoteStart, quoteEnd, false, false); + Leaf leftConstituent = new Leaf(getClass().getSimpleName(), WordsUtils.wordsToProperSentenceString(leftConstituentWords)); + + // the right, subordinate constituent + List rightConstituentWords = new ArrayList<>(); + rightConstituentWords.addAll(ParseTreeExtractionUtils.getPrecedingWords(leaf.getParseTree(), quoteStart, false)); + rightConstituentWords.addAll(ParseTreeExtractionUtils.getContainingWords(matcher.getNode("np"))); + if (matcher.getNode("vpb") != null) { + rightConstituentWords.addAll(ParseTreeExtractionUtils.getContainingWords(matcher.getNode("vpb"))); + rightConstituentWords.addAll(ParseTreeExtractionUtils.getFollowingWords(leaf.getParseTree(), matcher.getNode("np"), false)); + } else { + rightConstituentWords.addAll(ParseTreeExtractionUtils.getContainingWords(matcher.getNode("vpa"))); + rightConstituentWords.addAll(ParseTreeExtractionUtils.getFollowingWords(leaf.getParseTree(), matcher.getNode("vpa"), false)); + } + + // rephrase + rightConstituentWords = rephraseIntraSententialAttribution(rightConstituentWords); + Leaf rightConstituent = new Leaf(getClass().getSimpleName(), WordsUtils.wordsToProperSentenceString(rightConstituentWords)); + rightConstituent.dontAllowSplit(); + rightConstituent.setToSimpleContext(true); + + // relation + Optional headVerb; + if (matcher.getNode("vpb") != null) { + headVerb = getHeadVerb(matcher.getNode("vpb")); + } else { + headVerb = getHeadVerb(matcher.getNode("vpa")); + } + + // only extract if verb matches + if (headVerb.isPresent() && classifer.checkAttribution(headVerb.get())) { + Relation relation = Relation.ATTRIBUTION; + + Extraction res = new Extraction( + getClass().getSimpleName(), + false, + null, + relation, + true, + Arrays.asList(leftConstituent, rightConstituent) + ); + + return Optional.of(res); + } + } + + return Optional.empty(); + } +} diff --git a/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/ReferenceFinalAdverbialExtractor.java b/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/ReferenceFinalAdverbialExtractor.java new file mode 100644 index 0000000..5c25268 --- /dev/null +++ b/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/ReferenceFinalAdverbialExtractor.java @@ -0,0 +1,81 @@ +/* + * ==========================License-Start============================= + * DiscourseSimplification : ReferenceExtractor3 + * + * Copyright © 2017 Lambda³ + * + * GNU General Public License 3 + * This program is free software: you can redistribute it and/or modify + * it under the terms of the GNU General Public License as published by + * the Free Software Foundation, either version 3 of the License, or + * (at your option) any later version. + * + * This program is distributed in the hope that it will be useful, + * but WITHOUT ANY WARRANTY; without even the implied warranty of + * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + * GNU General Public License for more details. + * + * You should have received a copy of the GNU General Public License + * along with this program. If not, see http://www.gnu.org/licenses/. + * ==========================License-End============================== + */ + +package org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules; + +import edu.stanford.nlp.ling.Word; +import edu.stanford.nlp.trees.tregex.TregexMatcher; +import edu.stanford.nlp.trees.tregex.TregexPattern; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.Relation; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.Extraction; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.ExtractionRule; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.model.Leaf; +import org.lambda3.text.simplification.discourse.utils.parseTree.ParseTreeException; +import org.lambda3.text.simplification.discourse.utils.parseTree.ParseTreeExtractionUtils; +import org.lambda3.text.simplification.discourse.utils.words.WordsUtils; + +import java.util.ArrayList; +import java.util.Arrays; +import java.util.List; +import java.util.Optional; + +/** + * + */ +public class ReferenceFinalAdverbialExtractor extends ExtractionRule { + + @Override + public Optional extract(Leaf leaf) throws ParseTreeException { + + TregexPattern p = TregexPattern.compile("ROOT <<: (S=s < (VP <+(VP) (ADVP|PP=adv))) : (=s [<<- =adv | <<- (/\\./ , =adv)])"); + TregexMatcher matcher = p.matcher(leaf.getParseTree()); + + if (matcher.findAt(leaf.getParseTree())) { + List cuePhraseWords = ParseTreeExtractionUtils.getContainingWords(matcher.getNode("adv")); + + // the right constituent + List words = new ArrayList<>(); + words.addAll(ParseTreeExtractionUtils.getPrecedingWords(leaf.getParseTree(), matcher.getNode("adv"), false)); + words.addAll(ParseTreeExtractionUtils.getFollowingWords(leaf.getParseTree(), matcher.getNode("adv"), false)); + Leaf rightConstituent = new Leaf(getClass().getSimpleName(), WordsUtils.wordsToProperSentenceString(words)); + + // relation + Optional relation = classifer.classifyAdverbial(cuePhraseWords); + + // only if present + if (relation.isPresent()) { + Extraction res = new Extraction( + getClass().getSimpleName(), + true, + cuePhraseWords, + relation.get(), + true, + Arrays.asList(rightConstituent) + ); + + return Optional.of(res); + } + } + + return Optional.empty(); + } +} diff --git a/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/ReferenceInitialAdverbialExtractor.java b/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/ReferenceInitialAdverbialExtractor.java new file mode 100644 index 0000000..79ff606 --- /dev/null +++ b/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/ReferenceInitialAdverbialExtractor.java @@ -0,0 +1,81 @@ +/* + * ==========================License-Start============================= + * DiscourseSimplification : ReferenceExtractor1 + * + * Copyright © 2017 Lambda³ + * + * GNU General Public License 3 + * This program is free software: you can redistribute it and/or modify + * it under the terms of the GNU General Public License as published by + * the Free Software Foundation, either version 3 of the License, or + * (at your option) any later version. + * + * This program is distributed in the hope that it will be useful, + * but WITHOUT ANY WARRANTY; without even the implied warranty of + * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + * GNU General Public License for more details. + * + * You should have received a copy of the GNU General Public License + * along with this program. If not, see http://www.gnu.org/licenses/. + * ==========================License-End============================== + */ + +package org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules; + +import edu.stanford.nlp.ling.Word; +import edu.stanford.nlp.trees.tregex.TregexMatcher; +import edu.stanford.nlp.trees.tregex.TregexPattern; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.Relation; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.ExtractionRule; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.Extraction; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.model.Leaf; +import org.lambda3.text.simplification.discourse.utils.parseTree.ParseTreeException; +import org.lambda3.text.simplification.discourse.utils.parseTree.ParseTreeExtractionUtils; +import org.lambda3.text.simplification.discourse.utils.words.WordsUtils; + +import java.util.ArrayList; +import java.util.Arrays; +import java.util.List; +import java.util.Optional; + +/** + * + */ +public class ReferenceInitialAdverbialExtractor extends ExtractionRule { + + @Override + public Optional extract(Leaf leaf) throws ParseTreeException { + + TregexPattern p = TregexPattern.compile("ROOT <<: (S <, (ADVP|PP=adv))"); + TregexMatcher matcher = p.matcher(leaf.getParseTree()); + + if (matcher.findAt(leaf.getParseTree())) { + List cuePhraseWords = ParseTreeExtractionUtils.getContainingWords(matcher.getNode("adv")); + + // the right constituent + List words = new ArrayList<>(); + words.addAll(ParseTreeExtractionUtils.getPrecedingWords(leaf.getParseTree(), matcher.getNode("adv"), false)); + words.addAll(ParseTreeExtractionUtils.getFollowingWords(leaf.getParseTree(), matcher.getNode("adv"), false)); + Leaf rightConstituent = new Leaf(getClass().getSimpleName(), WordsUtils.wordsToProperSentenceString(words)); + + // relation + Optional relation = classifer.classifyAdverbial(cuePhraseWords); + + // only if present + if (relation.isPresent()) { + Extraction res = new Extraction( + getClass().getSimpleName(), + true, + cuePhraseWords, + relation.get(), + true, + Arrays.asList(rightConstituent) + ); + + return Optional.of(res); + } + } + + return Optional.empty(); + } +} diff --git a/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/ReferenceInitialConjunctionExtractor.java b/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/ReferenceInitialConjunctionExtractor.java new file mode 100644 index 0000000..f228841 --- /dev/null +++ b/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/ReferenceInitialConjunctionExtractor.java @@ -0,0 +1,81 @@ +/* + * ==========================License-Start============================= + * DiscourseSimplification : ReferenceExtractor0 + * + * Copyright © 2017 Lambda³ + * + * GNU General Public License 3 + * This program is free software: you can redistribute it and/or modify + * it under the terms of the GNU General Public License as published by + * the Free Software Foundation, either version 3 of the License, or + * (at your option) any later version. + * + * This program is distributed in the hope that it will be useful, + * but WITHOUT ANY WARRANTY; without even the implied warranty of + * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + * GNU General Public License for more details. + * + * You should have received a copy of the GNU General Public License + * along with this program. If not, see http://www.gnu.org/licenses/. + * ==========================License-End============================== + */ + +package org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules; + +import edu.stanford.nlp.ling.Word; +import edu.stanford.nlp.trees.tregex.TregexMatcher; +import edu.stanford.nlp.trees.tregex.TregexPattern; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.Relation; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.Extraction; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.ExtractionRule; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.model.Leaf; +import org.lambda3.text.simplification.discourse.utils.parseTree.ParseTreeException; +import org.lambda3.text.simplification.discourse.utils.parseTree.ParseTreeExtractionUtils; +import org.lambda3.text.simplification.discourse.utils.words.WordsUtils; + +import java.util.ArrayList; +import java.util.Arrays; +import java.util.List; +import java.util.Optional; + +/** + * + */ +public class ReferenceInitialConjunctionExtractor extends ExtractionRule { + + @Override + public Optional extract(Leaf leaf) throws ParseTreeException { + + TregexPattern p = TregexPattern.compile("ROOT <<: (S <, (CC=cc))"); + TregexMatcher matcher = p.matcher(leaf.getParseTree()); + + if (matcher.findAt(leaf.getParseTree())) { + List cuePhraseWords = ParseTreeExtractionUtils.getContainingWords(matcher.getNode("cc")); + + // the right constituent + List words = new ArrayList<>(); + words.addAll(ParseTreeExtractionUtils.getPrecedingWords(leaf.getParseTree(), matcher.getNode("cc"), false)); + words.addAll(ParseTreeExtractionUtils.getFollowingWords(leaf.getParseTree(), matcher.getNode("cc"), false)); + Leaf rightConstituent = new Leaf(getClass().getSimpleName(), WordsUtils.wordsToProperSentenceString(words)); + + // relation + Optional relation = classifer.classifyCoordinating(cuePhraseWords); + + // only if present + if (relation.isPresent()) { + Extraction res = new Extraction( + getClass().getSimpleName(), + true, + cuePhraseWords, + relation.get(), + true, + Arrays.asList(rightConstituent) + ); + + return Optional.of(res); + } + } + + return Optional.empty(); + } +} diff --git a/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/ReferenceMedialAdverbialExtractor.java b/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/ReferenceMedialAdverbialExtractor.java new file mode 100644 index 0000000..9222256 --- /dev/null +++ b/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/ReferenceMedialAdverbialExtractor.java @@ -0,0 +1,81 @@ +/* + * ==========================License-Start============================= + * DiscourseSimplification : ReferenceExtractor2 + * + * Copyright © 2017 Lambda³ + * + * GNU General Public License 3 + * This program is free software: you can redistribute it and/or modify + * it under the terms of the GNU General Public License as published by + * the Free Software Foundation, either version 3 of the License, or + * (at your option) any later version. + * + * This program is distributed in the hope that it will be useful, + * but WITHOUT ANY WARRANTY; without even the implied warranty of + * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + * GNU General Public License for more details. + * + * You should have received a copy of the GNU General Public License + * along with this program. If not, see http://www.gnu.org/licenses/. + * ==========================License-End============================== + */ + +package org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules; + +import edu.stanford.nlp.ling.Word; +import edu.stanford.nlp.trees.tregex.TregexMatcher; +import edu.stanford.nlp.trees.tregex.TregexPattern; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.Relation; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.ExtractionRule; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.Extraction; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.model.Leaf; +import org.lambda3.text.simplification.discourse.utils.parseTree.ParseTreeException; +import org.lambda3.text.simplification.discourse.utils.parseTree.ParseTreeExtractionUtils; +import org.lambda3.text.simplification.discourse.utils.words.WordsUtils; + +import java.util.ArrayList; +import java.util.Arrays; +import java.util.List; +import java.util.Optional; + +/** + * + */ +public class ReferenceMedialAdverbialExtractor extends ExtractionRule { + + @Override + public Optional extract(Leaf leaf) throws ParseTreeException { + + TregexPattern p = TregexPattern.compile("ROOT <<: (S < (ADVP|PP=adv , /,/=begin . /,/=end $,, NP $.. VP))"); + TregexMatcher matcher = p.matcher(leaf.getParseTree()); + + if (matcher.findAt(leaf.getParseTree())) { + List cuePhraseWords = ParseTreeExtractionUtils.getContainingWords(matcher.getNode("adv")); + + // the right constituent + List words = new ArrayList<>(); + words.addAll(ParseTreeExtractionUtils.getPrecedingWords(leaf.getParseTree(), matcher.getNode("begin"), false)); + words.addAll(ParseTreeExtractionUtils.getFollowingWords(leaf.getParseTree(), matcher.getNode("end"), false)); + Leaf rightConstituent = new Leaf(getClass().getSimpleName(), WordsUtils.wordsToProperSentenceString(words)); + + // relation + Optional relation = classifer.classifyAdverbial(cuePhraseWords); + + // only if present + if (relation.isPresent()) { + Extraction res = new Extraction( + getClass().getSimpleName(), + true, + cuePhraseWords, + relation.get(), + true, + Arrays.asList(rightConstituent) + ); + + return Optional.of(res); + } + } + + return Optional.empty(); + } +} diff --git a/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/RestrictiveAppositionExtractor.java b/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/RestrictiveAppositionExtractor.java new file mode 100644 index 0000000..417b942 --- /dev/null +++ b/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/RestrictiveAppositionExtractor.java @@ -0,0 +1,139 @@ +/* + * ==========================License-Start============================= + * DiscourseSimplification : SubordinationPostExtractor + * + * Copyright © 2017 Lambda³ + * + * GNU General Public License 3 + * This program is free software: you can redistribute it and/or modify + * it under the terms of the GNU General Public License as published by + * the Free Software Foundation, either version 3 of the License, or + * (at your option) any later version. + * + * This program is distributed in the hope that it will be useful, + * but WITHOUT ANY WARRANTY; without even the implied warranty of + * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + * GNU General Public License for more details. + * + * You should have received a copy of the GNU General Public License + * along with this program. If not, see http://www.gnu.org/licenses/. + * ==========================License-End============================== + */ + +package org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules; + +import edu.stanford.nlp.trees.Tree; +import edu.stanford.nlp.trees.tregex.TregexMatcher; +import edu.stanford.nlp.trees.tregex.TregexPattern; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.Relation; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.Extraction; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.ExtractionRule; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.model.Leaf; +import org.lambda3.text.simplification.discourse.utils.parseTree.ParseTreeException; +import org.lambda3.text.simplification.discourse.utils.parseTree.ParseTreeParser; +import org.lambda3.text.simplification.discourse.utils.pos.POSTagger; +import org.lambda3.text.simplification.discourse.utils.pos.POSToken; +import org.lambda3.text.simplification.discourse.utils.ner.NERStringParseException; +import org.lambda3.text.simplification.discourse.utils.ner.NERStringParser; +import org.lambda3.text.simplification.discourse.utils.ner.tner.TNERString; + +import java.util.Arrays; +import java.util.List; +import java.util.Optional; +import java.util.regex.Matcher; +import java.util.regex.Pattern; + +/** + * + */ +public class RestrictiveAppositionExtractor extends ExtractionRule { + + @Override + public Optional extract(Leaf leaf) throws ParseTreeException { + + Tree t = leaf.getParseTree(); + + try { + TNERString ner = NERStringParser.parse(t); + Pattern pattern = Pattern.compile("(((PRP\\$|DT)\\s)*(JJ\\s)*((NN|NNS|NNP|NNPS)\\s))+(((CC|IN)\\s)((PRP\\$|DT)\\s)*(JJ\\s)*((NN|NNS|NNP|NNPS)\\s))*STOP"); + List pos = POSTagger.parse(leaf.getText()); + + for (int i = 1; i < ner.getWords().size(); i++) { + + if ((ner.getTokens().get(i).getCategory().equals("PERSON") && !ner.getTokens().get(i-1).getCategory().equals("PERSON")) + || (ner.getTokens().get(i).getCategory().equals("ORGANIZATION") && !ner.getTokens().get(i-1).getCategory().equals("ORGANIZATION")) + || (ner.getTokens().get(i).getCategory().equals("LOCATION") && !ner.getTokens().get(i-1).getCategory().equals("LOCATION"))) { + + POSToken po = pos.get(i); + String number = po.getPos(); + + int n = i+1; + String attach = ner.getTokens().get(i).getText(); + while (n < ner.getTokens().size() && (ner.getTokens().get(n).getCategory().equals("PERSON") || ner.getTokens().get(n).getCategory().equals("ORGANIZATION") || ner.getTokens().get(n).getCategory().equals("LOCATION"))) { + attach = attach + ' ' + ner.getTokens().get(n).getText(); + n++; + } + + String posString = ""; + String text = ""; + for (int j = 0; j < i; j++) { + //if (!ner.getTokens().get(j).getCategory().equals("PERSON")) { + //if (!ner.getTokens().get(j).getCategory().equals("ORGANIZATION")) { + posString = posString + ' ' + pos.get(j).getPos(); + text = text + ' ' + pos.get(j).getText(); + //} + //} + } + posString = posString + ' ' + "STOP"; + Matcher matcher = pattern.matcher(posString); + + while (matcher.find()) { + String[] m = matcher.group().split(" "); + String appos = ""; + String[] a = text.split(" "); + for (int k = 0; k < m.length-1; k++) { + appos = a[a.length-1-k] + ' ' + appos; + } + + TregexPattern p = TregexPattern.compile("ROOT <<: (S < VP=vp)"); + TregexMatcher matcher_tree = p.matcher(leaf.getParseTree()); + + while (matcher_tree.findAt(leaf.getParseTree())) { + String apposition = ""; + if (!appos.equals("")) { + apposition = attach + rephraseApposition(matcher_tree.getNode("vp"), number) + appos + "."; + } + String rest = leaf.getText().replaceAll(appos, ""); + Tree appTree = ParseTreeParser.parse(apposition); + Leaf leftConstituent = new Leaf(getClass().getSimpleName(), appTree); + + Tree restTree = ParseTreeParser.parse(rest); + Leaf rightConstituent = new Leaf(getClass().getSimpleName(), restTree); + + // relation + Relation relation = Relation.ELABORATION; //TODO + + Extraction res = new Extraction( + getClass().getSimpleName(), + false, + null, + relation, + false, + Arrays.asList(leftConstituent, rightConstituent) + ); + + return Optional.of(res); + } + } + } + + } + } catch (NERStringParseException e) { + // TODO Auto-generated catch block + e.printStackTrace(); + } + + return Optional.empty(); + } + +} diff --git a/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/RestrictiveParticipialExtractor.java b/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/RestrictiveParticipialExtractor.java new file mode 100644 index 0000000..f52cc66 --- /dev/null +++ b/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/RestrictiveParticipialExtractor.java @@ -0,0 +1,88 @@ +/* + * ==========================License-Start============================= + * DiscourseSimplification : SubordinationPostExtractor + * + * Copyright © 2017 Lambda³ + * + * GNU General Public License 3 + * This program is free software: you can redistribute it and/or modify + * it under the terms of the GNU General Public License as published by + * the Free Software Foundation, either version 3 of the License, or + * (at your option) any later version. + * + * This program is distributed in the hope that it will be useful, + * but WITHOUT ANY WARRANTY; without even the implied warranty of + * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + * GNU General Public License for more details. + * + * You should have received a copy of the GNU General Public License + * along with this program. If not, see http://www.gnu.org/licenses/. + * ==========================License-End============================== + */ + +package org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules; + +import edu.stanford.nlp.ling.Word; +import edu.stanford.nlp.trees.tregex.TregexMatcher; +import edu.stanford.nlp.trees.tregex.TregexPattern; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.Relation; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.Extraction; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.ExtractionRule; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.model.Leaf; +import org.lambda3.text.simplification.discourse.utils.parseTree.ParseTreeException; +import org.lambda3.text.simplification.discourse.utils.parseTree.ParseTreeExtractionUtils; +import org.lambda3.text.simplification.discourse.utils.words.WordsUtils; + +import java.util.ArrayList; +import java.util.Arrays; +import java.util.List; +import java.util.Optional; + +/** + * + */ +public class RestrictiveParticipialExtractor extends ExtractionRule { + + @Override + public Optional extract(Leaf leaf) throws ParseTreeException { + //TregexPattern p = TregexPattern.compile("ROOT <<: (S=s << (NP=np <, (NP $+ (VP=vp <, VBN|VBG=vbgn)))) "); + TregexPattern p = TregexPattern.compile("ROOT <<: (S=s < VP=mainverb &<< (NP|PP=head <, (NP=np $+ (VP=vp [<, (ADVP|PP $+ VBG|VBN=vbgn) | <, VBG|VBN=vbgn] )) & [> (PP !> S)| > (VP > S)]))"); + TregexMatcher matcher = p.matcher(leaf.getParseTree()); + + while (matcher.findAt(leaf.getParseTree())) { + + + // the left, superordinate constituent + List leftConstituentWords = new ArrayList<>(); + leftConstituentWords.addAll(ParseTreeExtractionUtils.getPrecedingWords(leaf.getParseTree(), matcher.getNode("vp"), false)); + leftConstituentWords.addAll(ParseTreeExtractionUtils.getFollowingWords(leaf.getParseTree(), matcher.getNode("vp"), false)); + Leaf leftConstituent = new Leaf(getClass().getSimpleName(), WordsUtils.wordsToProperSentenceString(leftConstituentWords)); + + // the right, subordinate constituent + List rightConstituentWords = new ArrayList<>(); + rightConstituentWords.addAll(ParseTreeExtractionUtils.getContainingWords(matcher.getNode("np"))); + rightConstituentWords.addAll(rephraseAppositionNonRes(matcher.getNode("mainverb"), matcher.getNode("np"), matcher.getNode("vbgn"))); + rightConstituentWords.addAll(ParseTreeExtractionUtils.getFollowingWords(matcher.getNode("head"), matcher.getNode("vbgn"), false)); + Leaf rightConstituent = new Leaf(getClass().getSimpleName(), WordsUtils.wordsToProperSentenceString(rightConstituentWords)); + + + List cuePhraseWords = ParseTreeExtractionUtils.getPrecedingWords(matcher.getNode("vbgn"), matcher.getNode("s"), false); + Relation relation = classifer.classifySubordinating(cuePhraseWords).orElse(Relation.IDENTIFYING_DEFINITION); + + //TODO not always doDiscourseExtraction? + Extraction res = new Extraction( + getClass().getSimpleName(), + false, + cuePhraseWords, + relation, + true, + Arrays.asList(leftConstituent, rightConstituent) + ); + + return Optional.of(res); + } + + return Optional.empty(); + } + +} diff --git a/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/RestrictiveRelativeClauseWhoWhichExtractor.java b/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/RestrictiveRelativeClauseWhoWhichExtractor.java new file mode 100644 index 0000000..63b6951 --- /dev/null +++ b/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/RestrictiveRelativeClauseWhoWhichExtractor.java @@ -0,0 +1,97 @@ +/* + * ==========================License-Start============================= + * DiscourseSimplification : SubordinationPostExtractor + * + * Copyright © 2017 Lambda³ + * + * GNU General Public License 3 + * This program is free software: you can redistribute it and/or modify + * it under the terms of the GNU General Public License as published by + * the Free Software Foundation, either version 3 of the License, or + * (at your option) any later version. + * + * This program is distributed in the hope that it will be useful, + * but WITHOUT ANY WARRANTY; without even the implied warranty of + * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + * GNU General Public License for more details. + * + * You should have received a copy of the GNU General Public License + * along with this program. If not, see http://www.gnu.org/licenses/. + * ==========================License-End============================== + */ + +package org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules; + +import edu.stanford.nlp.ling.Word; +import edu.stanford.nlp.trees.tregex.TregexMatcher; +import edu.stanford.nlp.trees.tregex.TregexPattern; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.Relation; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.Extraction; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.ExtractionRule; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.model.Leaf; +import org.lambda3.text.simplification.discourse.utils.parseTree.ParseTreeException; +import org.lambda3.text.simplification.discourse.utils.parseTree.ParseTreeExtractionUtils; +import org.lambda3.text.simplification.discourse.utils.words.WordsUtils; + +import java.util.ArrayList; +import java.util.Arrays; +import java.util.List; +import java.util.Optional; + +/** + * + */ +public class RestrictiveRelativeClauseWhoWhichExtractor extends ExtractionRule { + + @Override + public Optional extract(Leaf leaf) throws ParseTreeException { + TregexPattern p = TregexPattern.compile("ROOT <<: (S << (NP=head <, (NP=np $++ (SBAR=sbar <, (WHNP $+ S=s & <<: WP|WDT) & ?$+ /,/=comma))))"); + TregexMatcher matcher = p.matcher(leaf.getParseTree()); + + while (matcher.findAt(leaf.getParseTree())) { + + + // the left, superordinate constituent + List leftConstituentWords = new ArrayList<>(); + leftConstituentWords.addAll(ParseTreeExtractionUtils.getPrecedingWords(leaf.getParseTree(), matcher.getNode("sbar"), false)); + + if (matcher.getNode("comma") != null) { + leftConstituentWords.addAll(ParseTreeExtractionUtils.getFollowingWords(leaf.getParseTree(), matcher.getNode("comma"), false)); + } else { + leftConstituentWords.addAll(ParseTreeExtractionUtils.getFollowingWords(leaf.getParseTree(), matcher.getNode("sbar"), false)); + } + Leaf leftConstituent = new Leaf(getClass().getSimpleName(), WordsUtils.wordsToProperSentenceString(leftConstituentWords)); + + // the right, subordinate constituent + List rightConstituentWords = new ArrayList<>(); + if ( matcher.getNode("s").firstChild().nodeString().split(" ")[0].equals("NP")) { + rightConstituentWords.addAll(ParseTreeExtractionUtils.getContainingWords(matcher.getNode("s"))); + rightConstituentWords.addAll(ParseTreeExtractionUtils.getWordsInBetween(leaf.getParseTree(), matcher.getNode("np"), matcher.getNode("sbar"), true, false)); + } else { + rightConstituentWords.addAll(ParseTreeExtractionUtils.getWordsInBetween(leaf.getParseTree(), matcher.getNode("np"), matcher.getNode("sbar"), true, false)); + rightConstituentWords.addAll(ParseTreeExtractionUtils.getContainingWords(matcher.getNode("s"))); + } + Leaf rightConstituent = new Leaf(getClass().getSimpleName(), WordsUtils.wordsToProperSentenceString(rightConstituentWords)); + + + // relation + List cuePhraseWords = ParseTreeExtractionUtils.getPrecedingWords(matcher.getNode("sbar"), matcher.getNode("s"), false); + Relation relation = classifer.classifySubordinating(cuePhraseWords).orElse(Relation.IDENTIFYING_DEFINITION); + + //TODO not always doDiscourseExtraction? + Extraction res = new Extraction( + getClass().getSimpleName(), + false, + cuePhraseWords, + relation, + true, + Arrays.asList(leftConstituent, rightConstituent) + ); + + return Optional.of(res); + } + + return Optional.empty(); + } + +} diff --git a/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/RestrictiveRelativeClauseWhomExtractor.java b/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/RestrictiveRelativeClauseWhomExtractor.java new file mode 100644 index 0000000..7e3a061 --- /dev/null +++ b/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/RestrictiveRelativeClauseWhomExtractor.java @@ -0,0 +1,96 @@ +/* + * ==========================License-Start============================= + * DiscourseSimplification : SubordinationPostExtractor + * + * Copyright © 2017 Lambda³ + * + * GNU General Public License 3 + * This program is free software: you can redistribute it and/or modify + * it under the terms of the GNU General Public License as published by + * the Free Software Foundation, either version 3 of the License, or + * (at your option) any later version. + * + * This program is distributed in the hope that it will be useful, + * but WITHOUT ANY WARRANTY; without even the implied warranty of + * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + * GNU General Public License for more details. + * + * You should have received a copy of the GNU General Public License + * along with this program. If not, see http://www.gnu.org/licenses/. + * ==========================License-End============================== + */ + +package org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules; + +import edu.stanford.nlp.ling.Word; +import edu.stanford.nlp.trees.tregex.TregexMatcher; +import edu.stanford.nlp.trees.tregex.TregexPattern; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.Relation; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.Extraction; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.ExtractionRule; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.model.Leaf; +import org.lambda3.text.simplification.discourse.utils.parseTree.ParseTreeException; +import org.lambda3.text.simplification.discourse.utils.parseTree.ParseTreeExtractionUtils; +import org.lambda3.text.simplification.discourse.utils.words.WordsUtils; + +import java.util.ArrayList; +import java.util.Arrays; +import java.util.List; +import java.util.Optional; + +/** + * + */ +public class RestrictiveRelativeClauseWhomExtractor extends ExtractionRule { + + @Override + public Optional extract(Leaf leaf) throws ParseTreeException { + //TregexPattern p = TregexPattern.compile("ROOT <<: (S << (NP <, NP=np & < (/,/ $+ (SBAR=sbar <, (WHNP $+ (S=s <, NP=np2 & <- (VP <, /.*/=vp)) & <<: (WP <: whom))))))"); + TregexPattern p = TregexPattern.compile("ROOT <<: (S << (NP=head <, NP=np & < (SBAR=sbar <, (WHNP $+ (S=s <, NP=np2 & <- (VP=vp ?<+(VP) PP=prep)) & <<: (WP <: whom)))))"); + TregexMatcher matcher = p.matcher(leaf.getParseTree()); + + while (matcher.findAt(leaf.getParseTree())) { + + + // the left, superordinate constituent + List leftConstituentWords = new ArrayList<>(); + leftConstituentWords.addAll(ParseTreeExtractionUtils.getPrecedingWords(leaf.getParseTree(), matcher.getNode("sbar"), false)); + leftConstituentWords.addAll(ParseTreeExtractionUtils.getFollowingWords(leaf.getParseTree(), matcher.getNode("sbar"), false)); + Leaf leftConstituent = new Leaf(getClass().getSimpleName(), WordsUtils.wordsToProperSentenceString(leftConstituentWords)); + + // the right, subordinate constituent + List rightConstituentWords = new ArrayList<>(); + rightConstituentWords.addAll(ParseTreeExtractionUtils.getContainingWords(matcher.getNode("np2"))); + if (matcher.getNode("prep") != null && matcher.getNode("prep").nodeString().split(" ")[0].equals("PP")) { + rightConstituentWords.addAll(ParseTreeExtractionUtils.getPrecedingWords(matcher.getNode("vp"), matcher.getNode("prep"), false)); + rightConstituentWords.addAll(ParseTreeExtractionUtils.getContainingWords(matcher.getNode("np"))); + rightConstituentWords.addAll(ParseTreeExtractionUtils.getContainingWords(matcher.getNode("prep"))); + } else { + rightConstituentWords.addAll(ParseTreeExtractionUtils.getContainingWords(matcher.getNode("vp"))); + rightConstituentWords.addAll(ParseTreeExtractionUtils.getContainingWords(matcher.getNode("np"))); + } + + //rightConstituentWords.addAll(ParseTreeExtractionUtils.getFollowingWords(leaf.getParseTree(), matcher.getNode("vp"), false)); + Leaf rightConstituent = new Leaf(getClass().getSimpleName(), WordsUtils.wordsToProperSentenceString(rightConstituentWords)); + + // relation + List cuePhraseWords = ParseTreeExtractionUtils.getPrecedingWords(matcher.getNode("sbar"), matcher.getNode("s"), false); + Relation relation = classifer.classifySubordinating(cuePhraseWords).orElse(Relation.IDENTIFYING_DEFINITION); + + //TODO not always doDiscourseExtraction? + Extraction res = new Extraction( + getClass().getSimpleName(), + false, + cuePhraseWords, + relation, + true, + Arrays.asList(leftConstituent, rightConstituent) + ); + + return Optional.of(res); + } + + return Optional.empty(); + } + +} diff --git a/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/RestrictiveRelativeClauseWhoseExtractor.java b/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/RestrictiveRelativeClauseWhoseExtractor.java new file mode 100644 index 0000000..9903c51 --- /dev/null +++ b/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/RestrictiveRelativeClauseWhoseExtractor.java @@ -0,0 +1,99 @@ +/* + * ==========================License-Start============================= + * DiscourseSimplification : SubordinationPostExtractor + * + * Copyright © 2017 Lambda³ + * + * GNU General Public License 3 + * This program is free software: you can redistribute it and/or modify + * it under the terms of the GNU General Public License as published by + * the Free Software Foundation, either version 3 of the License, or + * (at your option) any later version. + * + * This program is distributed in the hope that it will be useful, + * but WITHOUT ANY WARRANTY; without even the implied warranty of + * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + * GNU General Public License for more details. + * + * You should have received a copy of the GNU General Public License + * along with this program. If not, see http://www.gnu.org/licenses/. + * ==========================License-End============================== + */ + +package org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules; + +import edu.stanford.nlp.ling.Word; +import edu.stanford.nlp.trees.tregex.TregexMatcher; +import edu.stanford.nlp.trees.tregex.TregexPattern; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.Relation; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.Extraction; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.ExtractionRule; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.model.Leaf; +import org.lambda3.text.simplification.discourse.utils.parseTree.ParseTreeException; +import org.lambda3.text.simplification.discourse.utils.parseTree.ParseTreeExtractionUtils; +import org.lambda3.text.simplification.discourse.utils.words.WordsUtils; + +import java.util.ArrayList; +import java.util.Arrays; +import java.util.List; +import java.util.Optional; + +/** + * + */ +public class RestrictiveRelativeClauseWhoseExtractor extends ExtractionRule { + + @Override + public Optional extract(Leaf leaf) throws ParseTreeException { + //TregexPattern p = TregexPattern.compile("ROOT <<: (S << (NP < (NP=np $+ (/,/ $+ (SBAR=sbar <, (/WP\\$/ $+ S=s))))))"); + TregexPattern p = TregexPattern.compile("ROOT <<: (S << (NP=head < (NP=np $+ (SBAR=sbar <, (WHNP $+ S=s & <, (/WP\\$/ $+ /.*/=nn))))))"); + TregexMatcher matcher = p.matcher(leaf.getParseTree()); + + while (matcher.findAt(leaf.getParseTree())) { + + + // the left, superordinate constituent + List leftConstituentWords = new ArrayList<>(); + leftConstituentWords.addAll(ParseTreeExtractionUtils.getPrecedingWords(leaf.getParseTree(), matcher.getNode("sbar"), false)); + leftConstituentWords.addAll(ParseTreeExtractionUtils.getFollowingWords(leaf.getParseTree(), matcher.getNode("sbar"), false)); + Leaf leftConstituent = new Leaf(getClass().getSimpleName(), WordsUtils.wordsToProperSentenceString(leftConstituentWords)); + + // the right, subordinate constituent + List rightConstituentWords = new ArrayList<>(); + + if (matcher.getNode("s").firstChild().nodeString().split(" ")[0].equals("NP")) { + rightConstituentWords.addAll(ParseTreeExtractionUtils.getContainingWords(matcher.getNode("s"))); + rightConstituentWords.addAll(ParseTreeExtractionUtils.getContainingWords(matcher.getNode("np"))); + rightConstituentWords.add(new Word("'s")); + rightConstituentWords.addAll(ParseTreeExtractionUtils.getContainingWords(matcher.getNode("nn"))); + } else { + rightConstituentWords.addAll(ParseTreeExtractionUtils.getContainingWords(matcher.getNode("np"))); + rightConstituentWords.add(new Word("'s")); + rightConstituentWords.addAll(ParseTreeExtractionUtils.getContainingWords(matcher.getNode("nn"))); + rightConstituentWords.addAll(ParseTreeExtractionUtils.getContainingWords(matcher.getNode("s"))); + } + Leaf rightConstituent = new Leaf(getClass().getSimpleName(), WordsUtils.wordsToProperSentenceString(rightConstituentWords)); + + // relation + //List cuePhraseWords = ParseTreeExtractionUtils.getPrecedingWords(matcher.getNode("sbar"), matcher.getNode("s"), false); + //Relation relation = classifer.classifySubordinating(cuePhraseWords).orElse(Relation.UNKNOWN_SUBORDINATION); + + Relation relation = Relation.IDENTIFYING_DEFINITION; + + //TODO not always doDiscourseExtraction? + Extraction res = new Extraction( + getClass().getSimpleName(), + false, + null,//cuePhraseWords, + relation, + true, + Arrays.asList(leftConstituent, rightConstituent) + ); + + return Optional.of(res); + } + + return Optional.empty(); + } + +} diff --git a/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/RestrictiveRelativeClauseWithoutRelativePronounExtractor.java b/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/RestrictiveRelativeClauseWithoutRelativePronounExtractor.java new file mode 100644 index 0000000..f54ba75 --- /dev/null +++ b/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/RestrictiveRelativeClauseWithoutRelativePronounExtractor.java @@ -0,0 +1,103 @@ +/* + * ==========================License-Start============================= + * DiscourseSimplification : SubordinationPostExtractor + * + * Copyright © 2017 Lambda³ + * + * GNU General Public License 3 + * This program is free software: you can redistribute it and/or modify + * it under the terms of the GNU General Public License as published by + * the Free Software Foundation, either version 3 of the License, or + * (at your option) any later version. + * + * This program is distributed in the hope that it will be useful, + * but WITHOUT ANY WARRANTY; without even the implied warranty of + * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + * GNU General Public License for more details. + * + * You should have received a copy of the GNU General Public License + * along with this program. If not, see http://www.gnu.org/licenses/. + * ==========================License-End============================== + */ + +package org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules; + +import edu.stanford.nlp.ling.Word; +import edu.stanford.nlp.trees.tregex.TregexMatcher; +import edu.stanford.nlp.trees.tregex.TregexPattern; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.Relation; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.Extraction; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.ExtractionRule; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.model.Leaf; +import org.lambda3.text.simplification.discourse.utils.parseTree.ParseTreeException; +import org.lambda3.text.simplification.discourse.utils.parseTree.ParseTreeExtractionUtils; +import org.lambda3.text.simplification.discourse.utils.words.WordsUtils; + +import java.util.ArrayList; +import java.util.Arrays; +import java.util.List; +import java.util.Optional; + +/** + * + */ +public class RestrictiveRelativeClauseWithoutRelativePronounExtractor extends ExtractionRule { + + @Override + public Optional extract(Leaf leaf) throws ParseTreeException { + TregexPattern p = TregexPattern.compile("ROOT <<: (S << (NP <, (NP=np $++ (SBAR=sbar <: (S=s < (VP ?< (PP=prep ?<: IN=in)))))))"); + TregexMatcher matcher = p.matcher(leaf.getParseTree()); + + while (matcher.findAt(leaf.getParseTree())) { + + + // the left, superordinate constituent + List leftConstituentWords = new ArrayList<>(); + leftConstituentWords.addAll(ParseTreeExtractionUtils.getPrecedingWords(leaf.getParseTree(), matcher.getNode("sbar"), false)); + leftConstituentWords.addAll(ParseTreeExtractionUtils.getFollowingWords(leaf.getParseTree(), matcher.getNode("sbar"), false)); + Leaf leftConstituent = new Leaf(getClass().getSimpleName(), WordsUtils.wordsToProperSentenceString(leftConstituentWords)); + + // the right, subordinate constituent + List rightConstituentWords = new ArrayList<>(); + if (matcher.getNode("prep") != null) { + + rightConstituentWords.addAll(ParseTreeExtractionUtils.getPrecedingWords(matcher.getNode("s"), matcher.getNode("prep"), false)); + if (matcher.getNode("in") != null) { + + rightConstituentWords.addAll(ParseTreeExtractionUtils.getContainingWords(matcher.getNode("prep"))); + rightConstituentWords.addAll(ParseTreeExtractionUtils.getContainingWords(matcher.getNode("np"))); + } else { + rightConstituentWords.addAll(ParseTreeExtractionUtils.getContainingWords(matcher.getNode("np"))); + rightConstituentWords.addAll(ParseTreeExtractionUtils.getContainingWords(matcher.getNode("prep"))); + } + + rightConstituentWords.addAll(ParseTreeExtractionUtils.getFollowingWords(matcher.getNode("s"), matcher.getNode("prep"), false)); + } else { + rightConstituentWords.addAll(ParseTreeExtractionUtils.getContainingWords(matcher.getNode("sbar"))); + rightConstituentWords.addAll(ParseTreeExtractionUtils.getContainingWords(matcher.getNode("np"))); + } + + Leaf rightConstituent = new Leaf(getClass().getSimpleName(), WordsUtils.wordsToProperSentenceString(rightConstituentWords)); + + + // relation + List cuePhraseWords = ParseTreeExtractionUtils.getPrecedingWords(matcher.getNode("sbar"), matcher.getNode("s"), false); + Relation relation = classifer.classifySubordinating(cuePhraseWords).orElse(Relation.IDENTIFYING_DEFINITION); + + //TODO not always doDiscourseExtraction? + Extraction res = new Extraction( + getClass().getSimpleName(), + false, + cuePhraseWords, + relation, + true, + Arrays.asList(leftConstituent, rightConstituent) + ); + + return Optional.of(res); + } + + return Optional.empty(); + } + +} diff --git a/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/SharedNPPostCoordinationExtractor.java b/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/SharedNPPostCoordinationExtractor.java new file mode 100644 index 0000000..f0a1a5d --- /dev/null +++ b/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/SharedNPPostCoordinationExtractor.java @@ -0,0 +1,93 @@ +/* + * ==========================License-Start============================= + * DiscourseSimplification : SharedNPPostCoordinationExtractor + * + * Copyright © 2017 Lambda³ + * + * GNU General Public License 3 + * This program is free software: you can redistribute it and/or modify + * it under the terms of the GNU General Public License as published by + * the Free Software Foundation, either version 3 of the License, or + * (at your option) any later version. + * + * This program is distributed in the hope that it will be useful, + * but WITHOUT ANY WARRANTY; without even the implied warranty of + * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + * GNU General Public License for more details. + * + * You should have received a copy of the GNU General Public License + * along with this program. If not, see http://www.gnu.org/licenses/. + * ==========================License-End============================== + */ + +package org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules; + +import edu.stanford.nlp.ling.Word; +import edu.stanford.nlp.trees.Tree; +import edu.stanford.nlp.trees.tregex.TregexMatcher; +import edu.stanford.nlp.trees.tregex.TregexPattern; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.Relation; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.ExtractionRule; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.Extraction; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.model.Leaf; +import org.lambda3.text.simplification.discourse.utils.parseTree.ParseTreeException; +import org.lambda3.text.simplification.discourse.utils.parseTree.ParseTreeExtractionUtils; +import org.lambda3.text.simplification.discourse.utils.words.WordsUtils; + +import java.util.ArrayList; +import java.util.Arrays; +import java.util.List; +import java.util.Optional; + +/** + * + */ +public class SharedNPPostCoordinationExtractor extends ExtractionRule { + + @Override + public Optional extract(Leaf leaf) throws ParseTreeException { + + TregexPattern p = TregexPattern.compile("ROOT <<: (S < (NP $.. (VP <+(VP) (VP > VP=vp $.. VP))))"); + TregexMatcher matcher = p.matcher(leaf.getParseTree()); + + while (matcher.findAt(leaf.getParseTree())) { + List siblings = getSiblings(matcher.getNode("vp"), Arrays.asList("VP")); + + // constituents + List precedingWords = ParseTreeExtractionUtils.getPrecedingWords(leaf.getParseTree(), siblings.get(0), false); + List followingWords = ParseTreeExtractionUtils.getFollowingWords(leaf.getParseTree(), siblings.get(siblings.size() - 1), false); + + List constituents = new ArrayList<>(); + for (Tree sibling : siblings) { + List words = new ArrayList(); + words.addAll(precedingWords); + words.addAll(ParseTreeExtractionUtils.getContainingWords(sibling)); + words.addAll(followingWords); + + Leaf constituent = new Leaf(getClass().getSimpleName(), WordsUtils.wordsToProperSentenceString(words)); + constituents.add(constituent); + } + + List cuePhraseWords = null; + Relation relation = Relation.UNKNOWN_COORDINATION; + if (constituents.size() == 2) { + cuePhraseWords = ParseTreeExtractionUtils.getWordsInBetween(leaf.getParseTree(), siblings.get(0), siblings.get(siblings.size() - 1), false, false); + relation = classifer.classifyCoordinating(cuePhraseWords).orElse(Relation.UNKNOWN_COORDINATION); + } + + Extraction res = new Extraction( + getClass().getSimpleName(), + false, + cuePhraseWords, + relation, + true, + constituents + ); + + return Optional.of(res); + } + + return Optional.empty(); + } + +} diff --git a/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/SharedNPPostParticipalExtractor.java b/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/SharedNPPostParticipalExtractor.java new file mode 100644 index 0000000..d63fd16 --- /dev/null +++ b/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/SharedNPPostParticipalExtractor.java @@ -0,0 +1,88 @@ +/* + * ==========================License-Start============================= + * DiscourseSimplification : SharedNPPostParticipalExtractor + * + * Copyright © 2017 Lambda³ + * + * GNU General Public License 3 + * This program is free software: you can redistribute it and/or modify + * it under the terms of the GNU General Public License as published by + * the Free Software Foundation, either version 3 of the License, or + * (at your option) any later version. + * + * This program is distributed in the hope that it will be useful, + * but WITHOUT ANY WARRANTY; without even the implied warranty of + * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + * GNU General Public License for more details. + * + * You should have received a copy of the GNU General Public License + * along with this program. If not, see http://www.gnu.org/licenses/. + * ==========================License-End============================== + */ + +package org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules; + +import edu.stanford.nlp.ling.Word; +import edu.stanford.nlp.trees.tregex.TregexMatcher; +import edu.stanford.nlp.trees.tregex.TregexPattern; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.Relation; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.ExtractionRule; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.Extraction; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.model.Leaf; +import org.lambda3.text.simplification.discourse.utils.parseTree.ParseTreeException; +import org.lambda3.text.simplification.discourse.utils.parseTree.ParseTreeExtractionUtils; +import org.lambda3.text.simplification.discourse.utils.words.WordsUtils; + +import java.util.ArrayList; +import java.util.Arrays; +import java.util.List; +import java.util.Optional; + +/** + * + */ +public class SharedNPPostParticipalExtractor extends ExtractionRule { + + @Override + public Optional extract(Leaf leaf) throws ParseTreeException { + + String participalNode = "(__=node [== S=s | == (PP|ADVP <+(PP|ADVP) S=s)]) : (=s <: (VP <<, VBG|VBN=vbgn))"; + TregexPattern p = TregexPattern.compile("ROOT <<: (S < (NP=np $.. (VP=vp <+(VP) (NP|PP $.. " + participalNode + "))))"); + + TregexMatcher matcher = p.matcher(leaf.getParseTree()); + + while (matcher.findAt(leaf.getParseTree())) { + List cuePhraseWords = ParseTreeExtractionUtils.getPrecedingWords(matcher.getNode("node"), matcher.getNode("s"), false); + + // the left, superordinate constituent + List leftConstituentWords = new ArrayList<>(); + leftConstituentWords.addAll(ParseTreeExtractionUtils.getPrecedingWords(leaf.getParseTree(), matcher.getNode("node"), false)); + leftConstituentWords.addAll(ParseTreeExtractionUtils.getFollowingWords(leaf.getParseTree(), matcher.getNode("s"), false)); + Leaf leftConstituent = new Leaf(getClass().getSimpleName(), WordsUtils.wordsToProperSentenceString(leftConstituentWords)); + + // the right, subordinate constituent + List rightConstituentWords = new ArrayList<>(); + rightConstituentWords.addAll(ParseTreeExtractionUtils.getPrecedingWords(leaf.getParseTree(), matcher.getNode("vp"), false)); + rightConstituentWords.addAll(getRephrasedParticipalS(matcher.getNode("np"), matcher.getNode("vp"), matcher.getNode("s"), matcher.getNode("vbgn"))); + rightConstituentWords.addAll(ParseTreeExtractionUtils.getFollowingWords(leaf.getParseTree(), matcher.getNode("s"), false)); + Leaf rightConstituent = new Leaf(getClass().getSimpleName(), WordsUtils.wordsToProperSentenceString(rightConstituentWords)); + + // relation + Relation relation = classifer.classifySubordinating(cuePhraseWords).orElse(Relation.UNKNOWN_COORDINATION); + + Extraction res = new Extraction( + getClass().getSimpleName(), + false, + null, + relation, + true, + Arrays.asList(leftConstituent, rightConstituent) + ); + + return Optional.of(res); + } + + return Optional.empty(); + } + +} diff --git a/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/SharedNPPreParticipalExtractor.java b/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/SharedNPPreParticipalExtractor.java new file mode 100644 index 0000000..1ea13c9 --- /dev/null +++ b/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/SharedNPPreParticipalExtractor.java @@ -0,0 +1,88 @@ +/* + * ==========================License-Start============================= + * DiscourseSimplification : SharedNPPreParticipalExtractor + * + * Copyright © 2017 Lambda³ + * + * GNU General Public License 3 + * This program is free software: you can redistribute it and/or modify + * it under the terms of the GNU General Public License as published by + * the Free Software Foundation, either version 3 of the License, or + * (at your option) any later version. + * + * This program is distributed in the hope that it will be useful, + * but WITHOUT ANY WARRANTY; without even the implied warranty of + * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + * GNU General Public License for more details. + * + * You should have received a copy of the GNU General Public License + * along with this program. If not, see http://www.gnu.org/licenses/. + * ==========================License-End============================== + */ + +package org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules; + +import edu.stanford.nlp.ling.Word; +import edu.stanford.nlp.trees.tregex.TregexMatcher; +import edu.stanford.nlp.trees.tregex.TregexPattern; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.Relation; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.ExtractionRule; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.Extraction; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.model.Leaf; +import org.lambda3.text.simplification.discourse.utils.parseTree.ParseTreeException; +import org.lambda3.text.simplification.discourse.utils.parseTree.ParseTreeExtractionUtils; +import org.lambda3.text.simplification.discourse.utils.words.WordsUtils; + +import java.util.ArrayList; +import java.util.Arrays; +import java.util.List; +import java.util.Optional; + +/** + * + */ +public class SharedNPPreParticipalExtractor extends ExtractionRule { + + @Override + public Optional extract(Leaf leaf) throws ParseTreeException { + + String participalNode = "(__=node [== S=s | == (PP|ADVP <+(PP|ADVP) S=s)]) : (=s <: (VP <<, VBG|VBN=vbgn))"; + TregexPattern p = TregexPattern.compile("ROOT <<: (S < " + participalNode + ") : (=node $.. (NP=np $.. VP=vp))"); + TregexMatcher matcher = p.matcher(leaf.getParseTree()); + + while (matcher.findAt(leaf.getParseTree())) { + List cuePhraseWords = ParseTreeExtractionUtils.getPrecedingWords(matcher.getNode("node"), matcher.getNode("s"), false); + + // the left, subordinate constituent + List leftConstituentWords = new ArrayList<>(); + leftConstituentWords.addAll(ParseTreeExtractionUtils.getPrecedingWords(leaf.getParseTree(), matcher.getNode("node"), false)); + leftConstituentWords.addAll(ParseTreeExtractionUtils.getContainingWords(matcher.getNode("np"))); + leftConstituentWords.addAll(getRephrasedParticipalS(matcher.getNode("np"), matcher.getNode("vp"), matcher.getNode("s"), matcher.getNode("vbgn"))); + leftConstituentWords.addAll(ParseTreeExtractionUtils.getFollowingWords(leaf.getParseTree(), matcher.getNode("vp"), false)); + Leaf leftConstituent = new Leaf(getClass().getSimpleName(), WordsUtils.wordsToProperSentenceString(leftConstituentWords)); + + // the right, superordinate constituent + List rightConstituentWords = new ArrayList<>(); + rightConstituentWords.addAll(ParseTreeExtractionUtils.getPrecedingWords(leaf.getParseTree(), matcher.getNode("node"), false)); + rightConstituentWords.addAll(ParseTreeExtractionUtils.getFollowingWords(leaf.getParseTree(), matcher.getNode("node"), false)); + Leaf rightConstituent = new Leaf(getClass().getSimpleName(), WordsUtils.wordsToProperSentenceString(rightConstituentWords)); + + // relation + Relation relation = classifer.classifySubordinating(cuePhraseWords).orElse(Relation.UNKNOWN_COORDINATION); + + Extraction res = new Extraction( + getClass().getSimpleName(), + false, + cuePhraseWords, + relation, + false, + Arrays.asList(leftConstituent, rightConstituent) + ); + + return Optional.of(res); + } + + return Optional.empty(); + } + +} diff --git a/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/SubordinationPostAttributionExtractor.java b/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/SubordinationPostAttributionExtractor.java new file mode 100644 index 0000000..e2ebbb8 --- /dev/null +++ b/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/SubordinationPostAttributionExtractor.java @@ -0,0 +1,90 @@ +/* + * ==========================License-Start============================= + * DiscourseSimplification : SubordinationPostAttributionExtractor + * + * Copyright © 2017 Lambda³ + * + * GNU General Public License 3 + * This program is free software: you can redistribute it and/or modify + * it under the terms of the GNU General Public License as published by + * the Free Software Foundation, either version 3 of the License, or + * (at your option) any later version. + * + * This program is distributed in the hope that it will be useful, + * but WITHOUT ANY WARRANTY; without even the implied warranty of + * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + * GNU General Public License for more details. + * + * You should have received a copy of the GNU General Public License + * along with this program. If not, see http://www.gnu.org/licenses/. + * ==========================License-End============================== + */ + +package org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules; + +import edu.stanford.nlp.ling.Word; +import edu.stanford.nlp.trees.tregex.TregexMatcher; +import edu.stanford.nlp.trees.tregex.TregexPattern; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.Relation; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.Extraction; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.ExtractionRule; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.model.Leaf; +import org.lambda3.text.simplification.discourse.utils.parseTree.ParseTreeException; +import org.lambda3.text.simplification.discourse.utils.parseTree.ParseTreeExtractionUtils; +import org.lambda3.text.simplification.discourse.utils.words.WordsUtils; + +import java.util.ArrayList; +import java.util.Arrays; +import java.util.List; +import java.util.Optional; + +/** + * + */ +public class SubordinationPostAttributionExtractor extends ExtractionRule { + + @Override + public Optional extract(Leaf leaf) throws ParseTreeException { + TregexPattern p = TregexPattern.compile("ROOT <<: (S < (NP $.. (VP=vp <+(VP) (SBAR=sbar))))"); + TregexMatcher matcher = p.matcher(leaf.getParseTree()); + + while (matcher.findAt(leaf.getParseTree())) { + + // the left, !subordinate! constituent + List leftConstituentWords = new ArrayList<>(); + leftConstituentWords.addAll(ParseTreeExtractionUtils.getPrecedingWords(leaf.getParseTree(), matcher.getNode("sbar"), false)); + leftConstituentWords.addAll(ParseTreeExtractionUtils.getFollowingWords(leaf.getParseTree(), matcher.getNode("sbar"), false)); + + // rephrase + leftConstituentWords = rephraseIntraSententialAttribution(leftConstituentWords); + Leaf leftConstituent = new Leaf(getClass().getSimpleName(), WordsUtils.wordsToProperSentenceString(leftConstituentWords)); + leftConstituent.dontAllowSplit(); + leftConstituent.setToSimpleContext(true); + + // the right, !superordinate! constituent + List rightConstituentWords = ParseTreeExtractionUtils.getContainingWords(matcher.getNode("sbar")); + Leaf rightConstituent = new Leaf(getClass().getSimpleName(), WordsUtils.wordsToProperSentenceString(rightConstituentWords)); + + // relation + Optional headVerb = getHeadVerb(matcher.getNode("vp")); + + // only extract if verb matches + if (headVerb.isPresent() && classifer.checkAttribution(headVerb.get())) { + Relation relation = Relation.ATTRIBUTION; + + Extraction res = new Extraction( + getClass().getSimpleName(), + false, + null, + relation, + false, + Arrays.asList(leftConstituent, rightConstituent) + ); + + return Optional.of(res); + } + } + + return Optional.empty(); + } +} diff --git a/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/SubordinationPostAttributionExtractor2.java b/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/SubordinationPostAttributionExtractor2.java new file mode 100644 index 0000000..3a44eb5 --- /dev/null +++ b/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/SubordinationPostAttributionExtractor2.java @@ -0,0 +1,90 @@ +/* + * ==========================License-Start============================= + * DiscourseSimplification : SubordinationPostAttributionExtractor2 + * + * Copyright © 2018 Lambda³ + * + * GNU General Public License 3 + * This program is free software: you can redistribute it and/or modify + * it under the terms of the GNU General Public License as published by + * the Free Software Foundation, either version 3 of the License, or + * (at your option) any later version. + * + * This program is distributed in the hope that it will be useful, + * but WITHOUT ANY WARRANTY; without even the implied warranty of + * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + * GNU General Public License for more details. + * + * You should have received a copy of the GNU General Public License + * along with this program. If not, see http://www.gnu.org/licenses/. + * ==========================License-End============================== + */ + +package org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules; + +import edu.stanford.nlp.ling.Word; +import edu.stanford.nlp.trees.tregex.TregexMatcher; +import edu.stanford.nlp.trees.tregex.TregexPattern; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.Relation; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.Extraction; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.ExtractionRule; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.model.Leaf; +import org.lambda3.text.simplification.discourse.utils.parseTree.ParseTreeException; +import org.lambda3.text.simplification.discourse.utils.parseTree.ParseTreeExtractionUtils; +import org.lambda3.text.simplification.discourse.utils.words.WordsUtils; + +import java.util.ArrayList; +import java.util.Arrays; +import java.util.List; +import java.util.Optional; + +/** + * + */ +public class SubordinationPostAttributionExtractor2 extends ExtractionRule { + + @Override + public Optional extract(Leaf leaf) throws ParseTreeException { + TregexPattern p = TregexPattern.compile("ROOT <<: (S < (NP $.. (VP=vp <+(VP) (SBAR=sbar <<, /that/ < (S=s)))))"); + TregexMatcher matcher = p.matcher(leaf.getParseTree()); + + while (matcher.findAt(leaf.getParseTree())) { + + // the left, !subordinate! constituent + List leftConstituentWords = new ArrayList<>(); + leftConstituentWords.addAll(ParseTreeExtractionUtils.getPrecedingWords(leaf.getParseTree(), matcher.getNode("sbar"), false)); + leftConstituentWords.addAll(ParseTreeExtractionUtils.getFollowingWords(leaf.getParseTree(), matcher.getNode("sbar"), false)); + + // rephrase + leftConstituentWords = rephraseIntraSententialAttribution(leftConstituentWords); + Leaf leftConstituent = new Leaf(getClass().getSimpleName(), WordsUtils.wordsToProperSentenceString(leftConstituentWords)); + leftConstituent.dontAllowSplit(); + leftConstituent.setToSimpleContext(true); + + // the right, !superordinate! constituent + List rightConstituentWords = ParseTreeExtractionUtils.getContainingWords(matcher.getNode("s")); + Leaf rightConstituent = new Leaf(getClass().getSimpleName(), WordsUtils.wordsToProperSentenceString(rightConstituentWords)); + + // relation + Optional headVerb = getHeadVerb(matcher.getNode("vp")); + + // only extract if verb matches + if (headVerb.isPresent() && classifer.checkAttribution(headVerb.get())) { + Relation relation = Relation.ATTRIBUTION; + + Extraction res = new Extraction( + getClass().getSimpleName(), + false, + null, + relation, + false, + Arrays.asList(leftConstituent, rightConstituent) + ); + + return Optional.of(res); + } + } + + return Optional.empty(); + } +} diff --git a/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/SubordinationPostExtractor.java b/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/SubordinationPostExtractor.java new file mode 100644 index 0000000..48eafc5 --- /dev/null +++ b/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/SubordinationPostExtractor.java @@ -0,0 +1,82 @@ +/* + * ==========================License-Start============================= + * DiscourseSimplification : SubordinationPostExtractor + * + * Copyright © 2017 Lambda³ + * + * GNU General Public License 3 + * This program is free software: you can redistribute it and/or modify + * it under the terms of the GNU General Public License as published by + * the Free Software Foundation, either version 3 of the License, or + * (at your option) any later version. + * + * This program is distributed in the hope that it will be useful, + * but WITHOUT ANY WARRANTY; without even the implied warranty of + * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + * GNU General Public License for more details. + * + * You should have received a copy of the GNU General Public License + * along with this program. If not, see http://www.gnu.org/licenses/. + * ==========================License-End============================== + */ + +package org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules; + +import edu.stanford.nlp.ling.Word; +import edu.stanford.nlp.trees.tregex.TregexMatcher; +import edu.stanford.nlp.trees.tregex.TregexPattern; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.Relation; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.Extraction; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.ExtractionRule; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.model.Leaf; +import org.lambda3.text.simplification.discourse.utils.parseTree.ParseTreeException; +import org.lambda3.text.simplification.discourse.utils.parseTree.ParseTreeExtractionUtils; +import org.lambda3.text.simplification.discourse.utils.words.WordsUtils; + +import java.util.ArrayList; +import java.util.Arrays; +import java.util.List; +import java.util.Optional; + +/** + * + */ +public class SubordinationPostExtractor extends ExtractionRule { + + @Override + public Optional extract(Leaf leaf) throws ParseTreeException { + TregexPattern p = TregexPattern.compile("ROOT <<: (S < (NP $.. (VP <+(VP) (SBAR=sbar < (S=s < (NP $.. VP))))))"); + TregexMatcher matcher = p.matcher(leaf.getParseTree()); + + while (matcher.findAt(leaf.getParseTree())) { + + // the left, superordinate constituent + List leftConstituentWords = new ArrayList<>(); + leftConstituentWords.addAll(ParseTreeExtractionUtils.getPrecedingWords(leaf.getParseTree(), matcher.getNode("sbar"), false)); + leftConstituentWords.addAll(ParseTreeExtractionUtils.getFollowingWords(leaf.getParseTree(), matcher.getNode("sbar"), false)); + Leaf leftConstituent = new Leaf(getClass().getSimpleName(), WordsUtils.wordsToProperSentenceString(leftConstituentWords)); + + // the right, subordinate constituent + List rightConstituentWords = ParseTreeExtractionUtils.getContainingWords(matcher.getNode("s")); + Leaf rightConstituent = new Leaf(getClass().getSimpleName(), WordsUtils.wordsToProperSentenceString(rightConstituentWords)); + + // relation + List cuePhraseWords = ParseTreeExtractionUtils.getPrecedingWords(matcher.getNode("sbar"), matcher.getNode("s"), false); + Relation relation = classifer.classifySubordinating(cuePhraseWords).orElse(Relation.UNKNOWN_SUBORDINATION); + + //TODO not always doDiscourseExtraction? + Extraction res = new Extraction( + getClass().getSimpleName(), + false, + cuePhraseWords, + relation, + true, + Arrays.asList(leftConstituent, rightConstituent) + ); + + return Optional.of(res); + } + + return Optional.empty(); + } +} diff --git a/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/SubordinationPostExtractor2.java b/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/SubordinationPostExtractor2.java new file mode 100644 index 0000000..366a137 --- /dev/null +++ b/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/SubordinationPostExtractor2.java @@ -0,0 +1,85 @@ +/* + * ==========================License-Start============================= + * DiscourseSimplification : SubordinationPostISAExtractor + * + * Copyright © 2017 Lambda³ + * + * GNU General Public License 3 + * This program is free software: you can redistribute it and/or modify + * it under the terms of the GNU General Public License as published by + * the Free Software Foundation, either version 3 of the License, or + * (at your option) any later version. + * + * This program is distributed in the hope that it will be useful, + * but WITHOUT ANY WARRANTY; without even the implied warranty of + * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + * GNU General Public License for more details. + * + * You should have received a copy of the GNU General Public License + * along with this program. If not, see http://www.gnu.org/licenses/. + * ==========================License-End============================== + */ + +package org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules; + +import edu.stanford.nlp.ling.Word; +import edu.stanford.nlp.trees.tregex.TregexMatcher; +import edu.stanford.nlp.trees.tregex.TregexPattern; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.Relation; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.ExtractionRule; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.Extraction; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.model.Leaf; +import org.lambda3.text.simplification.discourse.utils.parseTree.ParseTreeException; +import org.lambda3.text.simplification.discourse.utils.parseTree.ParseTreeExtractionUtils; +import org.lambda3.text.simplification.discourse.utils.words.WordsUtils; + +import java.util.ArrayList; +import java.util.Arrays; +import java.util.List; +import java.util.Optional; + +/** + * + */ +public class SubordinationPostExtractor2 extends ExtractionRule { + + @Override + public Optional extract(Leaf leaf) throws ParseTreeException { + TregexPattern p = TregexPattern.compile("ROOT <<: (S < (NP $.. (VP <+(VP) (SBAR=sbar <<, /that/ < (S=s)))))"); + TregexMatcher matcher = p.matcher(leaf.getParseTree()); + + while (matcher.findAt(leaf.getParseTree())) { + + // the left, !subordinate! constituent + List leftConstituentWords = new ArrayList<>(); + leftConstituentWords.addAll(ParseTreeExtractionUtils.getPrecedingWords(leaf.getParseTree(), matcher.getNode("sbar"), false)); + leftConstituentWords.addAll(ParseTreeExtractionUtils.getFollowingWords(leaf.getParseTree(), matcher.getNode("sbar"), false)); + + // rephrase + leftConstituentWords = rephraseIntraSententialAttribution(leftConstituentWords); + Leaf leftConstituent = new Leaf(getClass().getSimpleName(), WordsUtils.wordsToProperSentenceString(leftConstituentWords)); + leftConstituent.dontAllowSplit(); + leftConstituent.setToSimpleContext(true); + + // the right, !superordinate! constituent + List rightConstituentWords = ParseTreeExtractionUtils.getContainingWords(matcher.getNode("s")); + Leaf rightConstituent = new Leaf(getClass().getSimpleName(), WordsUtils.wordsToProperSentenceString(rightConstituentWords)); + + // relation + Relation relation = Relation.UNKNOWN_SUBORDINATION; + + Extraction res = new Extraction( + getClass().getSimpleName(), + false, + null, + relation, + false, + Arrays.asList(leftConstituent, rightConstituent) + ); + + return Optional.of(res); + } + + return Optional.empty(); + } +} diff --git a/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/SubordinationPostPurposeExtractor.java b/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/SubordinationPostPurposeExtractor.java new file mode 100644 index 0000000..c59da4a --- /dev/null +++ b/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/SubordinationPostPurposeExtractor.java @@ -0,0 +1,85 @@ +/* + * ==========================License-Start============================= + * DiscourseSimplification : SubordinationPostEnablementExtractor + * + * Copyright © 2017 Lambda³ + * + * GNU General Public License 3 + * This program is free software: you can redistribute it and/or modify + * it under the terms of the GNU General Public License as published by + * the Free Software Foundation, either version 3 of the License, or + * (at your option) any later version. + * + * This program is distributed in the hope that it will be useful, + * but WITHOUT ANY WARRANTY; without even the implied warranty of + * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + * GNU General Public License for more details. + * + * You should have received a copy of the GNU General Public License + * along with this program. If not, see http://www.gnu.org/licenses/. + * ==========================License-End============================== + */ + +package org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules; + +import edu.stanford.nlp.ling.Word; +import edu.stanford.nlp.trees.tregex.TregexMatcher; +import edu.stanford.nlp.trees.tregex.TregexPattern; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.Relation; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.ExtractionRule; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.Extraction; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.model.Leaf; +import org.lambda3.text.simplification.discourse.utils.parseTree.ParseTreeException; +import org.lambda3.text.simplification.discourse.utils.parseTree.ParseTreeExtractionUtils; +import org.lambda3.text.simplification.discourse.utils.words.WordsUtils; + +import java.util.ArrayList; +import java.util.Arrays; +import java.util.List; +import java.util.Optional; + +/** + * + */ +public class SubordinationPostPurposeExtractor extends ExtractionRule { + + @Override + public Optional extract(Leaf leaf) throws ParseTreeException { + TregexPattern p = TregexPattern.compile("ROOT <<: (S < (NP $.. (VP=vp <+(VP) (SBAR=sbar < (S=s <<, (VP <<, /(T|t)o/))))))"); + TregexMatcher matcher = p.matcher(leaf.getParseTree()); + + while (matcher.findAt(leaf.getParseTree())) { + + // the left, superordinate constituent + List leftConstituentWords = new ArrayList<>(); + leftConstituentWords.addAll(ParseTreeExtractionUtils.getPrecedingWords(leaf.getParseTree(), matcher.getNode("sbar"), false)); + leftConstituentWords.addAll(ParseTreeExtractionUtils.getFollowingWords(leaf.getParseTree(), matcher.getNode("sbar"), false)); + Leaf leftConstituent = new Leaf(getClass().getSimpleName(), WordsUtils.wordsToProperSentenceString(leftConstituentWords)); + + // the right, subordinate constituent +// List rightConstituentWords = ParseTreeExtractionUtils.getContainingWords(matcher.getNode("s")); + + // rephrase + List rightConstituentWords = rephraseEnablement(matcher.getNode("s"), matcher.getNode("vp")); + Leaf rightConstituent = new Leaf(getClass().getSimpleName(), WordsUtils.wordsToProperSentenceString(rightConstituentWords)); + rightConstituent.dontAllowSplit(); + rightConstituent.setToSimpleContext(true); + + // relation + Relation relation = Relation.PURPOSE; + + Extraction res = new Extraction( + getClass().getSimpleName(), + false, + null, + relation, + true, + Arrays.asList(leftConstituent, rightConstituent) + ); + + return Optional.of(res); + } + + return Optional.empty(); + } +} diff --git a/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/SubordinationPreExtractor.java b/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/SubordinationPreExtractor.java new file mode 100644 index 0000000..34a7c37 --- /dev/null +++ b/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/SubordinationPreExtractor.java @@ -0,0 +1,81 @@ +/* + * ==========================License-Start============================= + * DiscourseSimplification : SubordinationPreExtractor + * + * Copyright © 2017 Lambda³ + * + * GNU General Public License 3 + * This program is free software: you can redistribute it and/or modify + * it under the terms of the GNU General Public License as published by + * the Free Software Foundation, either version 3 of the License, or + * (at your option) any later version. + * + * This program is distributed in the hope that it will be useful, + * but WITHOUT ANY WARRANTY; without even the implied warranty of + * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + * GNU General Public License for more details. + * + * You should have received a copy of the GNU General Public License + * along with this program. If not, see http://www.gnu.org/licenses/. + * ==========================License-End============================== + */ + +package org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules; + +import edu.stanford.nlp.ling.Word; +import edu.stanford.nlp.trees.tregex.TregexMatcher; +import edu.stanford.nlp.trees.tregex.TregexPattern; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.Relation; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.Extraction; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.ExtractionRule; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.model.Leaf; +import org.lambda3.text.simplification.discourse.utils.parseTree.ParseTreeException; +import org.lambda3.text.simplification.discourse.utils.parseTree.ParseTreeExtractionUtils; +import org.lambda3.text.simplification.discourse.utils.words.WordsUtils; + +import java.util.ArrayList; +import java.util.Arrays; +import java.util.List; +import java.util.Optional; + +/** + * + */ +public class SubordinationPreExtractor extends ExtractionRule { + + @Override + public Optional extract(Leaf leaf) throws ParseTreeException { + TregexPattern p = TregexPattern.compile("ROOT <<: (S < (SBAR=sbar < (S=s < (NP $.. VP)) $.. (NP $.. VP)))"); + TregexMatcher matcher = p.matcher(leaf.getParseTree()); + + while (matcher.findAt(leaf.getParseTree())) { + + // the left, subordinate constituent + List leftConstituentWords = ParseTreeExtractionUtils.getContainingWords(matcher.getNode("s")); + Leaf leftConstituent = new Leaf(getClass().getSimpleName(), WordsUtils.wordsToProperSentenceString(leftConstituentWords)); + + // the right, superordinate constituent + List rightConstituentWords = new ArrayList<>(); + rightConstituentWords.addAll(ParseTreeExtractionUtils.getPrecedingWords(leaf.getParseTree(), matcher.getNode("sbar"), false)); + rightConstituentWords.addAll(ParseTreeExtractionUtils.getFollowingWords(leaf.getParseTree(), matcher.getNode("sbar"), false)); + Leaf rightConstituent = new Leaf(getClass().getSimpleName(), WordsUtils.wordsToProperSentenceString(rightConstituentWords)); + + // relation + List cuePhraseWords = ParseTreeExtractionUtils.getPrecedingWords(matcher.getNode("sbar"), matcher.getNode("s"), false); + Relation relation = classifer.classifySubordinating(cuePhraseWords).orElse(Relation.UNKNOWN_SUBORDINATION); + + Extraction res = new Extraction( + getClass().getSimpleName(), + false, + cuePhraseWords, + relation, + false, + Arrays.asList(leftConstituent, rightConstituent) + ); + + return Optional.of(res); + } + + return Optional.empty(); + } +} diff --git a/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/SubordinationPrePurposeExtractor.java b/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/SubordinationPrePurposeExtractor.java new file mode 100644 index 0000000..3772269 --- /dev/null +++ b/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/rules/SubordinationPrePurposeExtractor.java @@ -0,0 +1,85 @@ +/* + * ==========================License-Start============================= + * DiscourseSimplification : SubordinationPreEnablementExtractor + * + * Copyright © 2017 Lambda³ + * + * GNU General Public License 3 + * This program is free software: you can redistribute it and/or modify + * it under the terms of the GNU General Public License as published by + * the Free Software Foundation, either version 3 of the License, or + * (at your option) any later version. + * + * This program is distributed in the hope that it will be useful, + * but WITHOUT ANY WARRANTY; without even the implied warranty of + * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + * GNU General Public License for more details. + * + * You should have received a copy of the GNU General Public License + * along with this program. If not, see http://www.gnu.org/licenses/. + * ==========================License-End============================== + */ + +package org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules; + +import edu.stanford.nlp.ling.Word; +import edu.stanford.nlp.trees.tregex.TregexMatcher; +import edu.stanford.nlp.trees.tregex.TregexPattern; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.Relation; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.ExtractionRule; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.Extraction; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.model.Leaf; +import org.lambda3.text.simplification.discourse.utils.parseTree.ParseTreeException; +import org.lambda3.text.simplification.discourse.utils.parseTree.ParseTreeExtractionUtils; +import org.lambda3.text.simplification.discourse.utils.words.WordsUtils; + +import java.util.ArrayList; +import java.util.Arrays; +import java.util.List; +import java.util.Optional; + +/** + * + */ +public class SubordinationPrePurposeExtractor extends ExtractionRule { + + @Override + public Optional extract(Leaf leaf) throws ParseTreeException { + TregexPattern p = TregexPattern.compile("ROOT <<: (S < (SBAR=sbar < (S=s <<, (VP <<, /(T|t)o/)) $.. (NP $.. VP=vp)))"); + TregexMatcher matcher = p.matcher(leaf.getParseTree()); + + while (matcher.findAt(leaf.getParseTree())) { + + // the left, subordinate constituent + List leftConstituentWords = ParseTreeExtractionUtils.getContainingWords(matcher.getNode("s")); + + // rephrase + leftConstituentWords = rephraseEnablement(matcher.getNode("s"), matcher.getNode("vp")); + Leaf leftConstituent = new Leaf(getClass().getSimpleName(), WordsUtils.wordsToProperSentenceString(leftConstituentWords)); + leftConstituent.dontAllowSplit(); + leftConstituent.setToSimpleContext(true); + + // the right, superordinate constituent + List rightConstituentWords = new ArrayList<>(); + rightConstituentWords.addAll(ParseTreeExtractionUtils.getPrecedingWords(leaf.getParseTree(), matcher.getNode("sbar"), false)); + rightConstituentWords.addAll(ParseTreeExtractionUtils.getFollowingWords(leaf.getParseTree(), matcher.getNode("sbar"), false)); + Leaf rightConstituent = new Leaf(getClass().getSimpleName(), WordsUtils.wordsToProperSentenceString(rightConstituentWords)); + + // relation + Relation relation = Relation.PURPOSE; + + Extraction res = new Extraction( + getClass().getSimpleName(), + false, + null, + relation, + false, + Arrays.asList(leftConstituent, rightConstituent) + ); + + return Optional.of(res); + } + + return Optional.empty(); + } +} diff --git a/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/utils/ListNPSplitter.java b/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/utils/ListNPSplitter.java new file mode 100644 index 0000000..cd57e2d --- /dev/null +++ b/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/utils/ListNPSplitter.java @@ -0,0 +1,234 @@ +/* + * ==========================License-Start============================= + * DiscourseSimplification : ListNPSplitter + * + * Copyright © 2017 Lambda³ + * + * GNU General Public License 3 + * This program is free software: you can redistribute it and/or modify + * it under the terms of the GNU General Public License as published by + * the Free Software Foundation, either version 3 of the License, or + * (at your option) any later version. + * + * This program is distributed in the hope that it will be useful, + * but WITHOUT ANY WARRANTY; without even the implied warranty of + * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + * GNU General Public License for more details. + * + * You should have received a copy of the GNU General Public License + * along with this program. If not, see http://www.gnu.org/licenses/. + * ==========================License-End============================== + */ + +package org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.utils; + +import edu.stanford.nlp.ling.Word; +import edu.stanford.nlp.trees.Tree; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.Relation; +import org.lambda3.text.simplification.discourse.utils.parseTree.ParseTreeExtractionUtils; +import org.slf4j.LoggerFactory; + +import java.util.ArrayList; +import java.util.List; +import java.util.Optional; +import java.util.stream.Collectors; + +import static org.lambda3.text.simplification.discourse.utils.parseTree.ParseTreeExtractionUtils.findLeaves; +import static org.lambda3.text.simplification.discourse.utils.parseTree.ParseTreeExtractionUtils.splitLeaves; + +/** + * + */ +public class ListNPSplitter { + private static final org.slf4j.Logger LOGGER = LoggerFactory.getLogger(ListNPSplitter.class); + + public static class Result { + private final List introductionWords; //optional + private final List> elementsWords; + + private final Relation relation; + + public Result(List introductionWords, List> elementsWords, Relation relation) { + this.introductionWords = introductionWords; + this.elementsWords = elementsWords; + this.relation = relation; + } + + public Optional> getIntroductionWords() { + return Optional.ofNullable(introductionWords); + } + + public List> getElementsWords() { + return elementsWords; + } + + public Relation getRelation() { + return relation; + } + + } + + private static class ConjunctionLeafChecker implements ParseTreeExtractionUtils.INodeChecker { + private final String word; + + public ConjunctionLeafChecker(String word) { + this.word = word; + } + + @Override + public boolean check(Tree anchorTree, Tree leaf) { + return ((leaf.yieldWords().get(0).value().equals(word)) && (leaf.parent(anchorTree) != null) && (leaf.parent(anchorTree).value().equals("CC"))); + } + } + + private static class ValueLeafChecker implements ParseTreeExtractionUtils.INodeChecker { + private final String word; + + public ValueLeafChecker(String word) { + this.word = word; + } + + @Override + public boolean check(Tree anchorTree, Tree leaf) { + return leaf.value().equals(word); + } + } + + private static boolean checkElementLeaves(Tree anchorTree, List leaves) { + Optional spanningTree = ParseTreeExtractionUtils.findSpanningTree(anchorTree, leaves.get(0), leaves.get(leaves.size() - 1)); + return (spanningTree.isPresent()) && (spanningTree.get().value().equals("NP")); + + } + + private static boolean isFollowedByConjDisjunction(Tree anchorTree, Tree np, ParseTreeExtractionUtils.INodeChecker conjDisjChecker, ParseTreeExtractionUtils.INodeChecker separatorChecker) { + List followingLeaves = ParseTreeExtractionUtils.getFollowingLeaves(anchorTree, np, false); + for (Tree followingLeaf : followingLeaves) { + if (conjDisjChecker.check(anchorTree, followingLeaf)) { + return true; + } else if (separatorChecker.check(anchorTree, followingLeaf)) { + // nothing + } else { + return false; + } + } + return false; + } + + private static Optional check(Tree anchorTree, Tree np, ParseTreeExtractionUtils.INodeChecker conjDisjChecker, ParseTreeExtractionUtils.INodeChecker separatorChecker, Relation relation) { + List checkLeaves = ParseTreeExtractionUtils.getContainingLeaves(np); + + // find introduction + List introductionWords = null; + List introSeparators = findLeaves(anchorTree, checkLeaves, new ValueLeafChecker(":"), false); + if (introSeparators.size() > 0) { + List iws = ParseTreeExtractionUtils.getPrecedingWords(np, introSeparators.get(0), false); + if (iws.size() > 0) { + introductionWords = iws; + checkLeaves = ParseTreeExtractionUtils.getFollowingLeaves(np, introSeparators.get(0), false); + } + } + + if (checkLeaves.size() == 0) { + return Optional.empty(); + } + + // special case (Con/Disjunction is right after the NP e.g. initiating a verb phrase) + // e.g. "To leave monuments to his reign , he built [the Collège des Quatre-Nations , Place Vendôme , Place des Victoires ,] and began Les Invalides ." + if (isFollowedByConjDisjunction(anchorTree, np, conjDisjChecker, separatorChecker)) { + List> elements = splitLeaves(np, checkLeaves, separatorChecker, true); + boolean valid = true; + + // check elements + if (elements.size() >= 2) { + for (List element : elements) { + if (!checkElementLeaves(np, element)) { + valid = false; + break; + } + } + } else { + valid = false; + } + + if (valid) { + List> elementsWords = elements.stream().map(e -> ParseTreeExtractionUtils.leavesToWords(e)).collect(Collectors.toList()); + + return Optional.of(new Result(introductionWords, elementsWords, relation)); + } + } + + // check different conjunction/disjunction leaves (from right to left) + for (Tree cdLeaf : findLeaves(np, checkLeaves, conjDisjChecker, true)) { + boolean valid = true; + List beforeLeaves = ParseTreeExtractionUtils.getLeavesInBetween(np, checkLeaves.get(0), cdLeaf, true, false); + List afterLeaves = ParseTreeExtractionUtils.getLeavesInBetween(np, cdLeaf, checkLeaves.get(checkLeaves.size() - 1), false, true); + + List> beforeElements = splitLeaves(np, beforeLeaves, separatorChecker, true); + List afterElement = afterLeaves; + + // check before elements + if (beforeElements.size() >= 1) { + for (List beforeElement : beforeElements) { + if (!checkElementLeaves(np, beforeElement)) { + valid = false; + break; + } + } + } else { + valid = false; + } + + // check after element + if (afterElement.size() >= 1) { +// if (!checkElementLeaves(anchorTree, afterElement)) { +// valid = false; +// } + } else { + valid = false; + } + + if (valid) { + List> elementsWords = new ArrayList<>(); + elementsWords.addAll(beforeElements.stream().map(e -> ParseTreeExtractionUtils.leavesToWords(e)).collect(Collectors.toList())); + elementsWords.add(ParseTreeExtractionUtils.leavesToWords(afterLeaves)); + + return Optional.of(new Result(introductionWords, elementsWords, relation)); + } + } + + return Optional.empty(); + } + + public static Optional splitList(Tree anchorTree, Tree np) { + boolean containsSemicolon = ParseTreeExtractionUtils.findLeaves(np, ParseTreeExtractionUtils.getContainingLeaves(np), new ValueLeafChecker(";"), false).size() > 0; + if (containsSemicolon) { + + // check for conjunction with elements separated by ; + Optional r = check(anchorTree, np, new ConjunctionLeafChecker("and"), new ValueLeafChecker(";"), Relation.LIST); + if (r.isPresent()) { + return r; + } + + // check for disjunction with elements separated by ; + r = check(anchorTree, np, new ConjunctionLeafChecker("or"), new ValueLeafChecker(";"), Relation.DISJUNCTION); + if (r.isPresent()) { + return r; + } + } else { + + // check for conjunction with elements separated by , + Optional r = check(anchorTree, np, new ConjunctionLeafChecker("and"), new ValueLeafChecker(","), Relation.LIST); + if (r.isPresent()) { + return r; + } + + // check for disjunction with elements separated by , + r = check(anchorTree, np, new ConjunctionLeafChecker("or"), new ValueLeafChecker(","), Relation.DISJUNCTION); + if (r.isPresent()) { + return r; + } + } + + return Optional.empty(); + } +} diff --git a/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/utils/TregexUtils.java b/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/utils/TregexUtils.java new file mode 100644 index 0000000..2cf9242 --- /dev/null +++ b/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/extraction/utils/TregexUtils.java @@ -0,0 +1,111 @@ +/* + * ==========================License-Start============================= + * DiscourseSimplification : TregexUtils + * + * Copyright © 2017 Lambda³ + * + * GNU General Public License 3 + * This program is free software: you can redistribute it and/or modify + * it under the terms of the GNU General Public License as published by + * the Free Software Foundation, either version 3 of the License, or + * (at your option) any later version. + * + * This program is distributed in the hope that it will be useful, + * but WITHOUT ANY WARRANTY; without even the implied warranty of + * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + * GNU General Public License for more details. + * + * You should have received a copy of the GNU General Public License + * along with this program. If not, see http://www.gnu.org/licenses/. + * ==========================License-End============================== + */ + +package org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.utils; + +import edu.stanford.nlp.trees.Tree; +import edu.stanford.nlp.trees.tregex.TregexMatcher; +import edu.stanford.nlp.trees.tregex.TregexPattern; + +import java.util.ArrayList; +import java.util.HashMap; +import java.util.List; + +/** + * + */ +public class TregexUtils { + + public static List sortedFindAt(Tree parseTree, TregexPattern p, List groupsToOrder) { + List res = new ArrayList<>(); + + TregexMatcher matcher = p.matcher(parseTree); + while (matcher.findAt(parseTree)) { + HashMap groups = new HashMap<>(); + for (String name : matcher.getNodeNames()) { + groups.put(name, matcher.getNode(name)); + } + res.add(new MyMatch(groups)); + } + + // sort groups + res.sort(new MyMatch.Comparator(parseTree, groupsToOrder)); + + return res; + } + + public static List sortedFind(Tree parseTree, TregexPattern p, List groupsToOrder) { + List res = new ArrayList<>(); + + TregexMatcher matcher = p.matcher(parseTree); + while (matcher.find()) { + HashMap groups = new HashMap<>(); + for (String name : matcher.getNodeNames()) { + groups.put(name, matcher.getNode(name)); + } + res.add(new MyMatch(groups)); + } + + // sort groups + res.sort(new MyMatch.Comparator(parseTree, groupsToOrder)); + + return res; + } + + public static class MyMatch { + private final HashMap groups; + + public MyMatch(HashMap groups) { + this.groups = groups; + } + + public Tree getNode(String name) { + if (groups.containsKey(name)) { + return groups.get(name); + } else { + throw new IllegalArgumentException("No discourse_tree for name: '" + name + "'"); + } + } + + public static class Comparator implements java.util.Comparator { + private final Tree anchorTree; + private final List names; + + public Comparator(Tree anchorTree, List names) { + this.anchorTree = anchorTree; + this.names = names; + } + + @Override + public int compare(MyMatch myMatch, MyMatch otherMatch) { + int myMatchValue = 0; + int otherMatchValue = 0; + for (String name : names) { + myMatchValue += myMatch.getNode(name).nodeNumber(anchorTree); + otherMatchValue += otherMatch.getNode(name).nodeNumber(anchorTree); + } + + return myMatchValue - otherMatchValue; + } + } + } +} diff --git a/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/model/Coordination.java b/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/model/Coordination.java new file mode 100644 index 0000000..cbf9160 --- /dev/null +++ b/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/model/Coordination.java @@ -0,0 +1,133 @@ +/* + * ==========================License-Start============================= + * DiscourseSimplification : Coordination + * + * Copyright © 2017 Lambda³ + * + * GNU General Public License 3 + * This program is free software: you can redistribute it and/or modify + * it under the terms of the GNU General Public License as published by + * the Free Software Foundation, either version 3 of the License, or + * (at your option) any later version. + * + * This program is distributed in the hope that it will be useful, + * but WITHOUT ANY WARRANTY; without even the implied warranty of + * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + * GNU General Public License for more details. + * + * You should have received a copy of the GNU General Public License + * along with this program. If not, see http://www.gnu.org/licenses/. + * ==========================License-End============================== + */ + +package org.lambda3.text.simplification.discourse.runner.discourse_tree.model; + +import org.lambda3.text.simplification.discourse.runner.discourse_tree.Relation; +import org.lambda3.text.simplification.discourse.utils.PrettyTreePrinter; + +import java.util.ArrayList; +import java.util.Collections; +import java.util.List; +import java.util.stream.Collectors; + +/** + * + */ +public class Coordination extends DiscourseTree { + final Relation relation; + private final String cuePhrase; // optional + private final List coordinations; + + public Coordination(String extractionRule, Relation relation, String cuePhrase, List coordinations) { + super(extractionRule); + this.relation = relation; + this.cuePhrase = cuePhrase; + this.coordinations = new ArrayList<>(); + coordinations.forEach(this::addCoordination); + } + + public void addCoordination(DiscourseTree coordination) { + this.coordinations.add(coordination); + coordination.parent = this; + } + + public void invalidateCoordination(DiscourseTree coordination) { + replaceCoordination(coordination, new Invalidation()); + } + + public void replaceCoordination(DiscourseTree oldCoordination, DiscourseTree newCoordination) { + for (int i = 0; i < coordinations.size(); i++) { + if (coordinations.get(i).equals(oldCoordination)) { + coordinations.set(i, newCoordination); + newCoordination.parent = this; + newCoordination.setRecursiveUnsetSentenceIdx(oldCoordination.getSentenceIdx()); + break; + } + } + } + + public void removeInvalidations() { + for (int i = coordinations.size() - 1; i >= 0; i--) { + if (coordinations.get(i) instanceof Invalidation) { + coordinations.remove(i); + } + } + } + + public Relation getRelation() { + return relation; + } + + public List getCoordinations() { + return coordinations; + } + + public List getOtherCoordinations(DiscourseTree coordination) { + return coordinations.stream().filter(c -> !c.equals(coordination)).collect(Collectors.toList()); + } + + public List getOtherPrecedingCoordinations(DiscourseTree coordination) { + List res = new ArrayList<>(); + + for (DiscourseTree child : coordinations) { + if (child.equals(coordination)) { + break; + } else { + res.add(child); + } + } + + return res; + } + + public List getOtherFollowingCoordinations(DiscourseTree coordination) { + List res = new ArrayList<>(); + + boolean found = false; + for (DiscourseTree child : coordinations) { + if (child.equals(coordination)) { + found = true; + } else { + if (found) { + res.add(child); + } + } + } + + return res; + } + + // VISUALIZATION /////////////////////////////////////////////////////////////////////////////////////////////////// + + @Override + public List getPTPCaption() { + String cuePhraseStr = (cuePhrase != null) ? "'" + cuePhrase + "'" : "NULL"; + return Collections.singletonList("CO/" + relation + " (" + cuePhraseStr + ", " + extractionRule + ")"); + } + + @Override + public List getPTPEdges() { + return coordinations.stream().map(c -> new PrettyTreePrinter.DefaultEdge("n", c, true)).collect(Collectors.toList()); + } + +} diff --git a/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/model/DiscourseTree.java b/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/model/DiscourseTree.java new file mode 100644 index 0000000..a84190c --- /dev/null +++ b/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/model/DiscourseTree.java @@ -0,0 +1,160 @@ +/* + * ==========================License-Start============================= + * DiscourseSimplification : DiscourseTree + * + * Copyright © 2017 Lambda³ + * + * GNU General Public License 3 + * This program is free software: you can redistribute it and/or modify + * it under the terms of the GNU General Public License as published by + * the Free Software Foundation, either version 3 of the License, or + * (at your option) any later version. + * + * This program is distributed in the hope that it will be useful, + * but WITHOUT ANY WARRANTY; without even the implied warranty of + * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + * GNU General Public License for more details. + * + * You should have received a copy of the GNU General Public License + * along with this program. If not, see http://www.gnu.org/licenses/. + * ==========================License-End============================== + */ + +package org.lambda3.text.simplification.discourse.runner.discourse_tree.model; + +import org.lambda3.text.simplification.discourse.runner.discourse_tree.Relation; +import org.lambda3.text.simplification.discourse.utils.PrettyTreePrinter; + +import java.util.ArrayList; +import java.util.List; +import java.util.Optional; + +public abstract class DiscourseTree implements PrettyTreePrinter.Node { + final String extractionRule; + DiscourseTree parent; //optional + private boolean processed; + private int sentenceIdx; + + DiscourseTree(String extractionRule) { + this.extractionRule = extractionRule; + this.processed = false; + this.parent = null; // should be set by inherited classes + this.sentenceIdx = -1; // should be set by inherited classes + } + + void setRecursiveUnsetSentenceIdx(int sentenceIdx) { + if (this.sentenceIdx < 0) { + this.sentenceIdx = sentenceIdx; + + // recursive + if (this instanceof Coordination) { + ((Coordination) this).getCoordinations().forEach(c -> c.setRecursiveUnsetSentenceIdx(sentenceIdx)); + } + if (this instanceof Subordination) { + ((Subordination) this).getLeftConstituent().setRecursiveUnsetSentenceIdx(sentenceIdx); + ((Subordination) this).getRightConstituent().setRecursiveUnsetSentenceIdx(sentenceIdx); + } + } + } + + public void cleanup() { + if (this instanceof Coordination) { + + // remove invalidations + ((Coordination) this).removeInvalidations(); + + // recursion + ((Coordination) this).getCoordinations().forEach(DiscourseTree::cleanup); + } + + if (this instanceof Subordination) { + + // recursion + ((Subordination) this).getLeftConstituent().cleanup(); + ((Subordination) this).getRightConstituent().cleanup(); + } + } + + public boolean usableAsReference() { + return ((parent != null) && (parent instanceof Coordination) && (((Coordination) parent).relation.equals(Relation.UNKNOWN_COORDINATION))); + } + + public void useAsReference() { + if (usableAsReference()) { + ((Coordination) parent).invalidateCoordination(this); + } else { + throw new AssertionError("Not useable as reference"); + } + } + + public List getCorePathLeaves() { + List res = new ArrayList<>(); + + if (this instanceof Leaf) { + res.add((Leaf) this); + } else { + // recursion on coordinations + if (this instanceof Coordination) { + for (DiscourseTree child : ((Coordination) this).getCoordinations()) { + res.addAll(child.getCorePathLeaves()); + } + } + + // recursion on superordinations + if (this instanceof Subordination) { + res.addAll(((Subordination) this).getSuperordination().getCorePathLeaves()); + } + } + + return res; + } + + public Optional getPreviousNode() { + if (parent != null) { + if (parent instanceof Coordination) { + Coordination p = (Coordination) parent; + DiscourseTree prev = null; + for (DiscourseTree child : p.getCoordinations()) { + if ((child.equals(this)) && (prev != null)) { + return Optional.of(prev); + } + prev = child; + } + } + if (parent instanceof Subordination) { + Subordination p = (Subordination) parent; + if (p.getRightConstituent().equals(this)) { + return Optional.of(p.getLeftConstituent()); + } + } + + // recursion + return parent.getPreviousNode(); + } + + return Optional.empty(); + } + + public void setProcessed() { + this.processed = true; + } + + public boolean isNotProcessed() { + return !processed; + } + + public String getExtractionRule() { + return extractionRule; + } + + public int getSentenceIdx() { + return sentenceIdx; + } + + // VISUALIZATION /////////////////////////////////////////////////////////////////////////////////////////////////// + + @Override + public String toString() { + return PrettyTreePrinter.prettyPrint(this, false); + } +} diff --git a/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/model/Invalidation.java b/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/model/Invalidation.java new file mode 100644 index 0000000..48ffef3 --- /dev/null +++ b/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/model/Invalidation.java @@ -0,0 +1,51 @@ +/* + * ==========================License-Start============================= + * DiscourseSimplification : Invalidation + * + * Copyright © 2017 Lambda³ + * + * GNU General Public License 3 + * This program is free software: you can redistribute it and/or modify + * it under the terms of the GNU General Public License as published by + * the Free Software Foundation, either version 3 of the License, or + * (at your option) any later version. + * + * This program is distributed in the hope that it will be useful, + * but WITHOUT ANY WARRANTY; without even the implied warranty of + * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + * GNU General Public License for more details. + * + * You should have received a copy of the GNU General Public License + * along with this program. If not, see http://www.gnu.org/licenses/. + * ==========================License-End============================== + */ + +package org.lambda3.text.simplification.discourse.runner.discourse_tree.model; + +import org.lambda3.text.simplification.discourse.utils.PrettyTreePrinter; + +import java.util.ArrayList; +import java.util.Collections; +import java.util.List; + +/** + * + */ +public class Invalidation extends DiscourseTree { + + public Invalidation() { + super(""); + } + + // VISUALIZATION /////////////////////////////////////////////////////////////////////////////////////////////////// + + @Override + public List getPTPCaption() { + return Collections.singletonList("INVALIDATED"); + } + + @Override + public List getPTPEdges() { + return new ArrayList<>(); + } +} diff --git a/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/model/Leaf.java b/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/model/Leaf.java new file mode 100644 index 0000000..62a3027 --- /dev/null +++ b/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/model/Leaf.java @@ -0,0 +1,99 @@ +/* + * ==========================License-Start============================= + * DiscourseSimplification : Leaf + * + * Copyright © 2017 Lambda³ + * + * GNU General Public License 3 + * This program is free software: you can redistribute it and/or modify + * it under the terms of the GNU General Public License as published by + * the Free Software Foundation, either version 3 of the License, or + * (at your option) any later version. + * + * This program is distributed in the hope that it will be useful, + * but WITHOUT ANY WARRANTY; without even the implied warranty of + * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + * GNU General Public License for more details. + * + * You should have received a copy of the GNU General Public License + * along with this program. If not, see http://www.gnu.org/licenses/. + * ==========================License-End============================== + */ + +package org.lambda3.text.simplification.discourse.runner.discourse_tree.model; + +import edu.stanford.nlp.trees.Tree; +import org.lambda3.text.simplification.discourse.utils.PrettyTreePrinter; +import org.lambda3.text.simplification.discourse.utils.parseTree.ParseTreeException; +import org.lambda3.text.simplification.discourse.utils.parseTree.ParseTreeExtractionUtils; +import org.lambda3.text.simplification.discourse.utils.parseTree.ParseTreeParser; +import org.lambda3.text.simplification.discourse.utils.words.WordsUtils; + +import java.util.ArrayList; +import java.util.Collections; +import java.util.List; + +/** + * + */ +public class Leaf extends DiscourseTree { + private Tree parseTree; + private boolean allowSplit; // true, if extraction-rules will be applied on the text + private boolean toSimpleContext; + + public Leaf() { + super("UNKNOWN"); + } + + public Leaf(String extractionRule, Tree parseTree) { + super(extractionRule); + this.parseTree = parseTree; + this.allowSplit = true; + this.toSimpleContext = false; + } + + // not efficient -> prefer to use constructor with tree + public Leaf(String extractionRule, String text) throws ParseTreeException { + this(extractionRule, ParseTreeParser.parse(text)); + } + + public void dontAllowSplit() { + this.allowSplit = false; + } + + public Tree getParseTree() { + return parseTree; + } + + public void setParseTree(Tree parseTree) { + this.parseTree = parseTree; + } + + public String getText() { + return WordsUtils.wordsToString(ParseTreeExtractionUtils.getContainingWords(parseTree)); + } + + public void setToSimpleContext(boolean toSimpleContext) { + this.toSimpleContext = toSimpleContext; + } + + public boolean isAllowSplit() { + return allowSplit; + } + + public boolean isToSimpleContext() { + return toSimpleContext; + } + + // VISUALIZATION /////////////////////////////////////////////////////////////////////////////////////////////////// + + @Override + public List getPTPCaption() { + return Collections.singletonList("'" + getText() + "'"); + } + + @Override + public List getPTPEdges() { + return new ArrayList<>(); + } +} diff --git a/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/model/SentenceLeaf.java b/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/model/SentenceLeaf.java new file mode 100644 index 0000000..5fc226b --- /dev/null +++ b/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/model/SentenceLeaf.java @@ -0,0 +1,36 @@ +/* + * ==========================License-Start============================= + * DiscourseSimplification : SentenceLeaf + * + * Copyright © 2017 Lambda³ + * + * GNU General Public License 3 + * This program is free software: you can redistribute it and/or modify + * it under the terms of the GNU General Public License as published by + * the Free Software Foundation, either version 3 of the License, or + * (at your option) any later version. + * + * This program is distributed in the hope that it will be useful, + * but WITHOUT ANY WARRANTY; without even the implied warranty of + * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + * GNU General Public License for more details. + * + * You should have received a copy of the GNU General Public License + * along with this program. If not, see http://www.gnu.org/licenses/. + * ==========================License-End============================== + */ + +package org.lambda3.text.simplification.discourse.runner.discourse_tree.model; + +import org.lambda3.text.simplification.discourse.utils.parseTree.ParseTreeException; + +/** + * + */ +public class SentenceLeaf extends Leaf { + + public SentenceLeaf(String sentence, int sentenceIdx) throws ParseTreeException { + super("SENTENCE", sentence); + this.setRecursiveUnsetSentenceIdx(sentenceIdx); + } +} diff --git a/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/model/Subordination.java b/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/model/Subordination.java new file mode 100644 index 0000000..2df7d81 --- /dev/null +++ b/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/model/Subordination.java @@ -0,0 +1,121 @@ +/* + * ==========================License-Start============================= + * DiscourseSimplification : Subordination + * + * Copyright © 2017 Lambda³ + * + * GNU General Public License 3 + * This program is free software: you can redistribute it and/or modify + * it under the terms of the GNU General Public License as published by + * the Free Software Foundation, either version 3 of the License, or + * (at your option) any later version. + * + * This program is distributed in the hope that it will be useful, + * but WITHOUT ANY WARRANTY; without even the implied warranty of + * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + * GNU General Public License for more details. + * + * You should have received a copy of the GNU General Public License + * along with this program. If not, see http://www.gnu.org/licenses/. + * ==========================License-End============================== + */ + +package org.lambda3.text.simplification.discourse.runner.discourse_tree.model; + +import org.lambda3.text.simplification.discourse.runner.discourse_tree.Relation; +import org.lambda3.text.simplification.discourse.utils.PrettyTreePrinter; + +import java.util.ArrayList; +import java.util.Collections; +import java.util.List; + +/** + * + */ +public class Subordination extends DiscourseTree { + private final Relation relation; + private final String cuePhrase; // optional + private final boolean contextRight; + private DiscourseTree leftConstituent; + private DiscourseTree rightConstituent; + + public Subordination(String extractionRule, Relation relation, String cuePhrase, DiscourseTree leftConstituent, DiscourseTree rightConstituent, boolean contextRight) { + super(extractionRule); + this.relation = relation; + this.cuePhrase = cuePhrase; + this.contextRight = contextRight; + + this.leftConstituent = new Leaf(); //tmp + this.rightConstituent = new Leaf(); //tmp + replaceLeftConstituent(leftConstituent); + replaceRightConstituent(rightConstituent); + } + + public void replaceLeftConstituent(DiscourseTree newLeftConstituent) { + DiscourseTree oldLeftConstituent = this.leftConstituent; + this.leftConstituent = newLeftConstituent; + newLeftConstituent.parent = this; + newLeftConstituent.setRecursiveUnsetSentenceIdx(oldLeftConstituent.getSentenceIdx()); + } + + private void replaceRightConstituent(DiscourseTree newRightConstituent) { + DiscourseTree oldRightConstituent = this.rightConstituent; + this.rightConstituent = newRightConstituent; + newRightConstituent.parent = this; + newRightConstituent.setRecursiveUnsetSentenceIdx(oldRightConstituent.getSentenceIdx()); + } + + public void replaceSuperordination(DiscourseTree newSuperordination) { + if (contextRight) { + replaceLeftConstituent(newSuperordination); + } else { + replaceRightConstituent(newSuperordination); + } + } + + public void replaceSubordination(DiscourseTree newSubordination) { + if (contextRight) { + replaceRightConstituent(newSubordination); + } else { + replaceLeftConstituent(newSubordination); + } + } + + public Relation getRelation() { + return relation; + } + + public DiscourseTree getLeftConstituent() { + return leftConstituent; + } + + public DiscourseTree getRightConstituent() { + return rightConstituent; + } + + public DiscourseTree getSuperordination() { + return (contextRight) ? leftConstituent : rightConstituent; + } + + public DiscourseTree getSubordination() { + return (contextRight) ? rightConstituent : leftConstituent; + } + + // VISUALIZATION /////////////////////////////////////////////////////////////////////////////////////////////////// + + @Override + public List getPTPCaption() { + String cuePhraseStr = (cuePhrase != null) ? "'" + cuePhrase + "'" : "NULL"; + return Collections.singletonList("SUB/" + relation + " (" + cuePhraseStr + ", " + extractionRule + ")"); + } + + @Override + public List getPTPEdges() { + List res = new ArrayList<>(); + res.add(new PrettyTreePrinter.DefaultEdge((contextRight) ? "n" : "s", leftConstituent, true)); + res.add(new PrettyTreePrinter.DefaultEdge((contextRight) ? "s" : "n", rightConstituent, true)); + + return res; + } + +} diff --git a/src/main/java/org/lambda3/text/simplification/discourse/runner/sentence_simplification/SentenceSimplifier.java b/src/main/java/org/lambda3/text/simplification/discourse/runner/sentence_simplification/SentenceSimplifier.java new file mode 100644 index 0000000..09f2a27 --- /dev/null +++ b/src/main/java/org/lambda3/text/simplification/discourse/runner/sentence_simplification/SentenceSimplifier.java @@ -0,0 +1,142 @@ +/* + * ==========================License-Start============================= + * DiscourseSimplification : SentenceSimplifier + * + * Copyright © 2017 Lambda³ + * + * GNU General Public License 3 + * This program is free software: you can redistribute it and/or modify + * it under the terms of the GNU General Public License as published by + * the Free Software Foundation, either version 3 of the License, or + * (at your option) any later version. + * + * This program is distributed in the hope that it will be useful, + * but WITHOUT ANY WARRANTY; without even the implied warranty of + * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + * GNU General Public License for more details. + * + * You should have received a copy of the GNU General Public License + * along with this program. If not, see http://www.gnu.org/licenses/. + * ==========================License-End============================== + */ + +package org.lambda3.text.simplification.discourse.runner.sentence_simplification; + +import com.typesafe.config.Config; +import edu.stanford.nlp.trees.Tree; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.Relation; +import org.lambda3.text.simplification.discourse.model.Element; +import org.lambda3.text.simplification.discourse.model.OutSentence; +import org.lambda3.text.simplification.discourse.model.SimpleContext; +import org.lambda3.text.simplification.discourse.runner.sentence_simplification.classification.ContextClassifier; +import org.lambda3.text.simplification.discourse.runner.sentence_simplification.classification.SimpleContextClassifier; +import org.lambda3.text.simplification.discourse.utils.parseTree.ParseTreeExtractionUtils; +import org.lambda3.text.simplification.discourse.utils.words.WordsUtils; +import org.lambda3.text.simplification.sentence.transformation.CoreContextSentence; +import org.lambda3.text.simplification.sentence.transformation.SentenceSimplifyingException; +import org.lambda3.text.simplification.sentence.transformation.Transformer; +import org.slf4j.Logger; +import org.slf4j.LoggerFactory; + +import java.util.ArrayList; +import java.util.Collections; +import java.util.List; +import java.util.stream.Collectors; + +public class SentenceSimplifier { + private static class Result { + private Tree core; + private List contexts; + + public Result(Tree core, List contexts) { + this.core = core; + this.contexts = contexts; + } + + public Tree getCore() { + return core; + } + + public List getContexts() { + return contexts; + } + } + + private final Logger logger = LoggerFactory.getLogger(this.getClass()); + private final ContextClassifier contextClassifier; + + private final Config config; + + public SentenceSimplifier(Config config) { + this.config = config; + this.contextClassifier = new SimpleContextClassifier(config); + } + + private Result simplify(Tree parseTree) { + Transformer transformer = new Transformer(); + CoreContextSentence s; + try { + s = transformer.simplify(WordsUtils.wordsToString(ParseTreeExtractionUtils.getContainingWords(parseTree))); //TODO change transformer to accept parsed tree + + Tree core = parseTree; + if ((s.getCore() != null) && (s.getCore().size() > 0) && (s.getCore().get(0) != null)) { + core = s.getCore().get(0); + } + + List contexts = Collections.emptyList(); + if (s.getContext() != null) { + contexts = s.getContext().stream().filter(c -> c != null).collect(Collectors.toList()); + } + + return new Result(core, contexts); + } catch (SentenceSimplifyingException e) { + logger.warn("Failed to simplify: \"{}\"", WordsUtils.wordsToString(ParseTreeExtractionUtils.getContainingWords(parseTree))); + return new Result(parseTree, Collections.emptyList()); + } + } + + private void simplifyContexts(Element element) { + + // simple contexts + List newSimpleContexts = new ArrayList<>(); + for (SimpleContext simpleContext : element.getSimpleContexts()) { + + // INTRA SENT ATTR + if (simpleContext.getRelation().equals(Relation.ATTRIBUTION)) { + Result r = simplify(simpleContext.getParseTree()); + simpleContext.setParseTree(r.getCore()); + for (Tree c : r.getContexts()) { + SimpleContext sc = new SimpleContext(c); + + // classify + contextClassifier.classify(sc); + + // add only if it is noun based + if (sc.getRelation().equals(Relation.NOUN_BASED)) { + newSimpleContexts.add(sc); + } + } + } + } + newSimpleContexts.forEach(c -> element.addSimpleContext(c)); + } + + public void doSentenceSimplification(OutSentence sentence) { + for (Element element : sentence.getElements()) { + Result r = simplify(element.getParseTree()); + + simplifyContexts(element); + + element.setParseTree(r.getCore()); + for (Tree c : r.getContexts()) { + SimpleContext simpleContext = new SimpleContext(c); + + // classify + contextClassifier.classify(simpleContext); + + // add simple context + element.addSimpleContext(simpleContext); + } + } + } +} diff --git a/src/main/java/org/lambda3/text/simplification/discourse/runner/sentence_simplification/classification/ClassificationResult.java b/src/main/java/org/lambda3/text/simplification/discourse/runner/sentence_simplification/classification/ClassificationResult.java new file mode 100644 index 0000000..e3aef63 --- /dev/null +++ b/src/main/java/org/lambda3/text/simplification/discourse/runner/sentence_simplification/classification/ClassificationResult.java @@ -0,0 +1,53 @@ +/* + * ==========================License-Start============================= + * DiscourseSimplification : ClassificationResult + * + * Copyright © 2017 Lambda³ + * + * GNU General Public License 3 + * This program is free software: you can redistribute it and/or modify + * it under the terms of the GNU General Public License as published by + * the Free Software Foundation, either version 3 of the License, or + * (at your option) any later version. + * + * This program is distributed in the hope that it will be useful, + * but WITHOUT ANY WARRANTY; without even the implied warranty of + * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + * GNU General Public License for more details. + * + * You should have received a copy of the GNU General Public License + * along with this program. If not, see http://www.gnu.org/licenses/. + * ==========================License-End============================== + */ + +package org.lambda3.text.simplification.discourse.runner.sentence_simplification.classification; + +import org.lambda3.text.simplification.discourse.runner.discourse_tree.Relation; +import org.lambda3.text.simplification.discourse.model.TimeInformation; + +import java.util.Optional; + +/** + * + */ +public class ClassificationResult { + private Relation relation; + private TimeInformation timeInformation; // optional + + public ClassificationResult(Relation relation) { + this.relation = relation; + this.timeInformation = null; + } + + public void setTimeInformation(TimeInformation timeInformation) { + this.timeInformation = timeInformation; + } + + public Relation getRelation() { + return relation; + } + + public Optional getTimeInformation() { + return Optional.ofNullable(timeInformation); + } +} diff --git a/src/main/java/org/lambda3/text/simplification/discourse/runner/sentence_simplification/classification/ContextClassifier.java b/src/main/java/org/lambda3/text/simplification/discourse/runner/sentence_simplification/classification/ContextClassifier.java new file mode 100644 index 0000000..7b6b707 --- /dev/null +++ b/src/main/java/org/lambda3/text/simplification/discourse/runner/sentence_simplification/classification/ContextClassifier.java @@ -0,0 +1,32 @@ +/* + * ==========================License-Start============================= + * DiscourseSimplification : ContextClassifier + * + * Copyright © 2017 Lambda³ + * + * GNU General Public License 3 + * This program is free software: you can redistribute it and/or modify + * it under the terms of the GNU General Public License as published by + * the Free Software Foundation, either version 3 of the License, or + * (at your option) any later version. + * + * This program is distributed in the hope that it will be useful, + * but WITHOUT ANY WARRANTY; without even the implied warranty of + * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + * GNU General Public License for more details. + * + * You should have received a copy of the GNU General Public License + * along with this program. If not, see http://www.gnu.org/licenses/. + * ==========================License-End============================== + */ + +package org.lambda3.text.simplification.discourse.runner.sentence_simplification.classification; + +import org.lambda3.text.simplification.discourse.model.SimpleContext; + +/** + * + */ +public interface ContextClassifier { + void classify(SimpleContext simpleContext); +} diff --git a/src/main/java/org/lambda3/text/simplification/discourse/runner/sentence_simplification/classification/ExtContextClassifier.java b/src/main/java/org/lambda3/text/simplification/discourse/runner/sentence_simplification/classification/ExtContextClassifier.java new file mode 100644 index 0000000..03199df --- /dev/null +++ b/src/main/java/org/lambda3/text/simplification/discourse/runner/sentence_simplification/classification/ExtContextClassifier.java @@ -0,0 +1,166 @@ +/* + * ==========================License-Start============================= + * DiscourseSimplification : ExtContextClassifier + * + * Copyright © 2017 Lambda³ + * + * GNU General Public License 3 + * This program is free software: you can redistribute it and/or modify + * it under the terms of the GNU General Public License as published by + * the Free Software Foundation, either version 3 of the License, or + * (at your option) any later version. + * + * This program is distributed in the hope that it will be useful, + * but WITHOUT ANY WARRANTY; without even the implied warranty of + * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + * GNU General Public License for more details. + * + * You should have received a copy of the GNU General Public License + * along with this program. If not, see http://www.gnu.org/licenses/. + * ==========================License-End============================== + */ + +package org.lambda3.text.simplification.discourse.runner.sentence_simplification.classification; + +import com.typesafe.config.Config; +import edu.stanford.nlp.ling.Word; +import edu.stanford.nlp.pipeline.Annotation; +import edu.stanford.nlp.pipeline.AnnotationPipeline; +import edu.stanford.nlp.pipeline.TokenizerAnnotator; +import edu.stanford.nlp.time.SUTime; +import edu.stanford.nlp.time.TimeAnnotations; +import edu.stanford.nlp.time.TimeAnnotator; +import edu.stanford.nlp.time.TimeExpression; +import edu.stanford.nlp.util.CoreMap; +import org.lambda3.text.simplification.discourse.model.SimpleContext; +import org.lambda3.text.simplification.discourse.model.TimeInformation; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.Relation; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.classification.CuePhraseClassifier; +import org.lambda3.text.simplification.discourse.utils.ner.NERString; +import org.lambda3.text.simplification.discourse.utils.ner.NERStringParser; +import org.lambda3.text.simplification.discourse.utils.parseTree.ParseTreeExtractionUtils; +import org.lambda3.text.simplification.discourse.utils.words.WordsUtils; +import org.slf4j.Logger; +import org.slf4j.LoggerFactory; + +import java.util.List; +import java.util.Optional; +import java.util.Properties; + +public class ExtContextClassifier implements ContextClassifier { + private static final Logger LOG = LoggerFactory.getLogger(ExtContextClassifier.class); + + private static final Properties PROPS = new Properties(); + private static final AnnotationPipeline PIPELINE = new AnnotationPipeline(); + static { + PIPELINE.addAnnotator(new TokenizerAnnotator(false)); + PIPELINE.addAnnotator(new TimeAnnotator("sutime", PROPS)); + } + + private final CuePhraseClassifier cuePhraseClassifier; + + public ExtContextClassifier(Config config) { + this.cuePhraseClassifier = new CuePhraseClassifier(config); + } + + private boolean checkTemporal(SimpleContext simpleContext) { + + // use first 10 words as cue phrase + List cuePhraseWords = ParseTreeExtractionUtils.getContainingWords(simpleContext.getPhrase()); + if (cuePhraseWords.size() > 10) { + cuePhraseWords = cuePhraseWords.subList(0, 10); + } + String cuePhrase = WordsUtils.wordsToString(cuePhraseWords); + + Annotation annotation = new Annotation(cuePhrase); +// annotation.set(CoreAnnotations.DocDateAnnotation.class, "2013-07-14"); // not yet supported by Graphene + PIPELINE.annotate(annotation); + List timexAnnsAll = annotation.get(TimeAnnotations.TimexAnnotations.class); + + // only fetch first occurrence + if (timexAnnsAll.size() > 0) { + CoreMap cm = timexAnnsAll.get(0); + SUTime.Temporal temporal = cm.get(TimeExpression.Annotation.class).getTemporal(); + + Relation relation = Relation.TEMPORAL; + switch (temporal.getTimexType()) { + case TIME: + relation = Relation.TEMPORAL_TIME; + break; + case DURATION: + relation = Relation.TEMPORAL_DURATION; + break; + case DATE: + relation = Relation.TEMPORAL_DATE; + break; + case SET: + relation = Relation.TEMPORAL_SET; + break; + } + + simpleContext.setRelation(relation); + simpleContext.setTimeInformation(new TimeInformation(temporal.getTimexValue())); + + return true; + } + + return false; + } + + private boolean checkSpatial(SimpleContext simpleContext) { + + // use first 10 words as cue phrase + List cuePhraseWords = ParseTreeExtractionUtils.getContainingWords(simpleContext.getPhrase()); + if (cuePhraseWords.size() > 10) { + cuePhraseWords = cuePhraseWords.subList(0, 10); + } + String cuePhrase = WordsUtils.wordsToString(cuePhraseWords); + + NERString ner = NERStringParser.parse(cuePhrase); + + if (ner.getTokens().stream().anyMatch(t -> t.getCategory().equals("LOCATION"))) { + simpleContext.setRelation(Relation.SPATIAL); + return true; + } + + return false; + } + + private boolean checkCues(SimpleContext simpleContext) { + + // use first 3 words as cue phrase + List cuePhraseWords = ParseTreeExtractionUtils.getContainingWords(simpleContext.getPhrase()); + if (cuePhraseWords.size() > 3) { + cuePhraseWords = cuePhraseWords.subList(0, 3); + } + String cuePhrase = WordsUtils.wordsToString(cuePhraseWords); + + Optional relation = cuePhraseClassifier.classifySubordinating(cuePhrase); + if (relation.isPresent()) { + simpleContext.setRelation(relation.get()); + return true; + } + + return false; + } + + @Override + public void classify(SimpleContext simpleContext) { + + // CUE + if (checkCues(simpleContext)) { + return; + } + + // TEMPORAL + if (checkTemporal(simpleContext)) { + return; + } + + // SPATIAL + if (checkSpatial(simpleContext)) { + return; + } + } + +} diff --git a/src/main/java/org/lambda3/text/simplification/discourse/runner/sentence_simplification/classification/SimpleContextClassifier.java b/src/main/java/org/lambda3/text/simplification/discourse/runner/sentence_simplification/classification/SimpleContextClassifier.java new file mode 100644 index 0000000..7163b38 --- /dev/null +++ b/src/main/java/org/lambda3/text/simplification/discourse/runner/sentence_simplification/classification/SimpleContextClassifier.java @@ -0,0 +1,163 @@ +/* + * ==========================License-Start============================= + * DiscourseSimplification : SimpleContextClassifier + * + * Copyright © 2017 Lambda³ + * + * GNU General Public License 3 + * This program is free software: you can redistribute it and/or modify + * it under the terms of the GNU General Public License as published by + * the Free Software Foundation, either version 3 of the License, or + * (at your option) any later version. + * + * This program is distributed in the hope that it will be useful, + * but WITHOUT ANY WARRANTY; without even the implied warranty of + * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + * GNU General Public License for more details. + * + * You should have received a copy of the GNU General Public License + * along with this program. If not, see http://www.gnu.org/licenses/. + * ==========================License-End============================== + */ + +package org.lambda3.text.simplification.discourse.runner.sentence_simplification.classification; + +import com.typesafe.config.Config; +import edu.stanford.nlp.ling.Word; +import org.lambda3.text.simplification.discourse.model.SimpleContext; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.Relation; +import org.lambda3.text.simplification.discourse.runner.discourse_tree.classification.CuePhraseClassifier; +import org.lambda3.text.simplification.discourse.utils.ner.NERString; +import org.lambda3.text.simplification.discourse.utils.ner.NERStringParser; +import org.lambda3.text.simplification.discourse.utils.parseTree.ParseTreeExtractionUtils; +import org.lambda3.text.simplification.discourse.utils.words.WordsUtils; +import org.slf4j.Logger; +import org.slf4j.LoggerFactory; + +import java.util.List; +import java.util.Optional; +import java.util.stream.Collectors; +import java.util.stream.Stream; + +public class SimpleContextClassifier implements ContextClassifier { + private static final Logger LOG = LoggerFactory.getLogger(SimpleContextClassifier.class); + + private static final String PATTERN_PREFIX = "^(?i:.*(? MONTH_PATTERNS = Stream.of( + "january", "jan\\.", + "february", "feb\\.", + "march", "mar\\.", + "april", "apr\\.", + "may", + "june", + "july", + "august", "aug\\.", + "september", "sept\\.", + "october", "oct\\.", + "november", "nov\\.", + "december", "dec\\." + ).map(p -> PATTERN_PREFIX + p + PATTERN_SUFFIX).collect(Collectors.toList()); + + private static final List DAY_PATTERNS = Stream.of( + "today", "yesterday", + "monday", "mon\\.", + "tuesday", "tues\\.", + "wednesday", "wed\\.", + "thursday", "thurs\\.", + "friday", "fri\\.", + "saturday", "sat\\.", + "sunday", "sun\\." + ).map(p -> PATTERN_PREFIX + p + PATTERN_SUFFIX).collect(Collectors.toList()); + + private static final String YEAR_PATTERN = PATTERN_PREFIX + "[1-2]\\d\\d\\d" + PATTERN_SUFFIX; + private static final String BC_AD_PATTERN = PATTERN_PREFIX + "(\\d+\\s+(bc|ad)|ad\\s+\\d+)" + PATTERN_SUFFIX; + private static final String CENTURY_PATTERN = PATTERN_PREFIX + "(1st|2nd|3rd|\\d+th)\\s+century" + PATTERN_SUFFIX; + private static final String TIME_PATTERN = PATTERN_PREFIX + "([0-1]?\\d|2[0-4])\\s*:\\s*[0-5]\\d" + PATTERN_SUFFIX; + + private final CuePhraseClassifier cuePhraseClassifier; + + public SimpleContextClassifier(Config config) { + this.cuePhraseClassifier = new CuePhraseClassifier(config); + } + + private boolean checkTemporal(SimpleContext simpleContext) { + + // use first 10 words as cue phrase + List cuePhraseWords = ParseTreeExtractionUtils.getContainingWords(simpleContext.getPhrase()); + if (cuePhraseWords.size() > 10) { + cuePhraseWords = cuePhraseWords.subList(0, 10); + } + String cuePhrase = WordsUtils.wordsToString(cuePhraseWords); + + if ((MONTH_PATTERNS.stream().anyMatch(cuePhrase::matches)) + || (DAY_PATTERNS.stream().anyMatch(cuePhrase::matches)) + || (cuePhrase.matches(YEAR_PATTERN)) + || (cuePhrase.matches(BC_AD_PATTERN)) + || (cuePhrase.matches(CENTURY_PATTERN)) + || (cuePhrase.matches(TIME_PATTERN))) { + + simpleContext.setRelation(Relation.TEMPORAL); + return true; + } + + return false; + } + + private boolean checkSpatial(SimpleContext simpleContext) { + + // use first 10 words as cue phrase + List cuePhraseWords = ParseTreeExtractionUtils.getContainingWords(simpleContext.getPhrase()); + if (cuePhraseWords.size() > 10) { + cuePhraseWords = cuePhraseWords.subList(0, 10); + } + String cuePhrase = WordsUtils.wordsToString(cuePhraseWords); + + NERString ner = NERStringParser.parse(cuePhrase); + + if (ner.getTokens().stream().anyMatch(t -> t.getCategory().equals("LOCATION"))) { + simpleContext.setRelation(Relation.SPATIAL); + return true; + } + + return false; + } + + private boolean checkCues(SimpleContext simpleContext) { + + // use first 3 words as cue phrase + List cuePhraseWords = ParseTreeExtractionUtils.getContainingWords(simpleContext.getPhrase()); + if (cuePhraseWords.size() > 3) { + cuePhraseWords = cuePhraseWords.subList(0, 3); + } + String cuePhrase = WordsUtils.wordsToString(cuePhraseWords); + + Optional relation = cuePhraseClassifier.classifySubordinating(cuePhrase); + if (relation.isPresent()) { + simpleContext.setRelation(relation.get()); + return true; + } + + return false; + } + + @Override + public void classify(SimpleContext simpleContext) { + + // CUE + if (checkCues(simpleContext)) { + return; + } + + // TEMPORAL + if (checkTemporal(simpleContext)) { + return; + } + + // SPATIAL + if (checkSpatial(simpleContext)) { + return; + } + } +} diff --git a/src/main/java/org/lambda3/text/simplification/discourse/utils/ConfigUtils.java b/src/main/java/org/lambda3/text/simplification/discourse/utils/ConfigUtils.java new file mode 100644 index 0000000..4bd850e --- /dev/null +++ b/src/main/java/org/lambda3/text/simplification/discourse/utils/ConfigUtils.java @@ -0,0 +1,37 @@ +/* + * ==========================License-Start============================= + * DiscourseSimplification : ConfigUtils + * + * Copyright © 2017 Lambda³ + * + * GNU General Public License 3 + * This program is free software: you can redistribute it and/or modify + * it under the terms of the GNU General Public License as published by + * the Free Software Foundation, either version 3 of the License, or + * (at your option) any later version. + * + * This program is distributed in the hope that it will be useful, + * but WITHOUT ANY WARRANTY; without even the implied warranty of + * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + * GNU General Public License for more details. + * + * You should have received a copy of the GNU General Public License + * along with this program. If not, see http://www.gnu.org/licenses/. + * ==========================License-End============================== + */ + +package org.lambda3.text.simplification.discourse.utils; + +import com.typesafe.config.Config; +import com.typesafe.config.ConfigRenderOptions; + +/** + * + */ +public class ConfigUtils { + public static String prettyPrint(Config config) { + return config == null + ? null + : config.root().render(ConfigRenderOptions.concise().setFormatted(true)); + } +} diff --git a/src/main/java/org/lambda3/text/simplification/discourse/utils/IDGenerator.java b/src/main/java/org/lambda3/text/simplification/discourse/utils/IDGenerator.java new file mode 100644 index 0000000..a8e7e1f --- /dev/null +++ b/src/main/java/org/lambda3/text/simplification/discourse/utils/IDGenerator.java @@ -0,0 +1,31 @@ +/* + * ==========================License-Start============================= + * DiscourseSimplification : IDGenerator + * + * Copyright © 2017 Lambda³ + * + * GNU General Public License 3 + * This program is free software: you can redistribute it and/or modify + * it under the terms of the GNU General Public License as published by + * the Free Software Foundation, either version 3 of the License, or + * (at your option) any later version. + * + * This program is distributed in the hope that it will be useful, + * but WITHOUT ANY WARRANTY; without even the implied warranty of + * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + * GNU General Public License for more details. + * + * You should have received a copy of the GNU General Public License + * along with this program. If not, see http://www.gnu.org/licenses/. + * ==========================License-End============================== + */ + +package org.lambda3.text.simplification.discourse.utils; + +import java.util.UUID; + +public class IDGenerator { + public static String generateUUID() { + return String.valueOf(UUID.randomUUID()).replaceAll("-", ""); + } +} diff --git a/src/main/java/org/lambda3/text/simplification/discourse/utils/IndexRange.java b/src/main/java/org/lambda3/text/simplification/discourse/utils/IndexRange.java new file mode 100644 index 0000000..b13eafe --- /dev/null +++ b/src/main/java/org/lambda3/text/simplification/discourse/utils/IndexRange.java @@ -0,0 +1,49 @@ +/* + * ==========================License-Start============================= + * DiscourseSimplification : IndexRange + * + * Copyright © 2017 Lambda³ + * + * GNU General Public License 3 + * This program is free software: you can redistribute it and/or modify + * it under the terms of the GNU General Public License as published by + * the Free Software Foundation, either version 3 of the License, or + * (at your option) any later version. + * + * This program is distributed in the hope that it will be useful, + * but WITHOUT ANY WARRANTY; without even the implied warranty of + * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + * GNU General Public License for more details. + * + * You should have received a copy of the GNU General Public License + * along with this program. If not, see http://www.gnu.org/licenses/. + * ==========================License-End============================== + */ + +package org.lambda3.text.simplification.discourse.utils; + +/** + * + */ +public class IndexRange { + private final int fromIdx; + private final int toIdx; + + public IndexRange(int fromIdx, int toIdx) { + this.fromIdx = fromIdx; + this.toIdx = toIdx; + } + + public int getFromIdx() { + return fromIdx; + } + + public int getToIdx() { + return toIdx; + } + + @Override + public String toString() { + return "(" + fromIdx + " | " + toIdx + ")"; + } +} diff --git a/src/main/java/org/lambda3/text/simplification/discourse/utils/PrettyTreePrinter.java b/src/main/java/org/lambda3/text/simplification/discourse/utils/PrettyTreePrinter.java new file mode 100644 index 0000000..410a011 --- /dev/null +++ b/src/main/java/org/lambda3/text/simplification/discourse/utils/PrettyTreePrinter.java @@ -0,0 +1,360 @@ +/* + * ==========================License-Start============================= + * DiscourseSimplification : PrettyTreePrinter + * + * Copyright © 2017 Lambda³ + * + * GNU General Public License 3 + * This program is free software: you can redistribute it and/or modify + * it under the terms of the GNU General Public License as published by + * the Free Software Foundation, either version 3 of the License, or + * (at your option) any later version. + * + * This program is distributed in the hope that it will be useful, + * but WITHOUT ANY WARRANTY; without even the implied warranty of + * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + * GNU General Public License for more details. + * + * You should have received a copy of the GNU General Public License + * along with this program. If not, see http://www.gnu.org/licenses/. + * ==========================License-End============================== + */ + +package org.lambda3.text.simplification.discourse.utils; + +import java.io.BufferedWriter; +import java.io.FileWriter; +import java.io.IOException; +import java.util.*; +import java.util.stream.Collectors; + +public class PrettyTreePrinter { + + private static final String DOT_INDENT = " "; + + private static final NodeShape DEFAULT_NODE_SHAPE = NodeShape.box; + private static final List DEFAULT_NODE_STYLES = Collections.singletonList(NodeStyle.solid); + private static final String DEFAULT_NODE_COLOR = "black"; + private static final String DEFAULT_NODE_FILLCOLOR = "white"; + + private static final EdgeShape DEFAULT_EDGE_SHAPE = EdgeShape.box; + private static final List DEFAULT_EDGE_STYLES = Collections.singletonList(EdgeStyle.solid); + private static final String DEFAULT_EDGE_COLOR = "black"; + + // INTERFACES & CLASSES //////////////////////////////////////////////////////////////////////////////////////////// + + public interface Node { + List getPTPCaption(); + List getPTPEdges(); + } + + public interface Edge { + String getPTPCaption(); + Node getPTPChild(); + boolean followPTPChild(); + } + + public interface GNode extends Node { + NodeShape getPTPNodeShape(); + List getPTPNodeStyles(); + String getPTPColor(); + String getPTPFillColor(); + } + + public interface GEdge extends Edge { + EdgeShape getPTPEdgeShape(); + List getPTPEdgeStyles(); + String getPTPColor(); + } + + public static class DefaultEdge implements Edge { + private final String caption; + private final Node child; + private final boolean followPTPChild; + + public DefaultEdge(String caption, Node child, boolean followPTPChild) { + this.caption = caption; + this.child = child; + this.followPTPChild = followPTPChild; + } + + @Override + public String getPTPCaption() { + return caption; + } + + @Override + public Node getPTPChild() { + return child; + } + + @Override + public boolean followPTPChild() { + return followPTPChild; + } + + } + + // GRAPHICAL ENUMS ///////////////////////////////////////////////////////////////////////////////////////////////// + + public enum NodeShape { + box, + polygon, + ellipse, + circle, + point, + egg, + triangle, + plaintext, + diamond, + trapezium, + parallelogram, + house, + pentagon, + hexagon, + septagon, + octagon, + doublecircle, + doubleoctagon, + tripleoctagon, + invtriangle, + invtrapezium, + invhouse, + Mdiamond, + Msquare, + Mcircle, + rect, + rectangle, + square, + none, + note, + tab, + folder, + box3d, + component + } + + public enum NodeStyle { + dashed, + dotted, + solid, + invis, + bold, + filled, + diagonals, + rounded + } + + public enum EdgeShape { + box, + crow, + diamond, + dot, + inv, + none, + normal, + tee, + vee + } + + public enum EdgeStyle { + dashed, + dotted, + solid, + invis, + bold + } + + public enum EdgeDir { + forward, + back, + both, + none + } + + // GENERAL FUNCTIONS /////////////////////////////////////////////////////////////////////////////////////////////// + + private static String trimText(String text, Integer maxTextLen) { + final String SUFFIX = "..."; + + if ((maxTextLen != null) && (text.length() > maxTextLen)) { + if (maxTextLen < SUFFIX.length()) { + throw new IllegalArgumentException("maxTextLen should have at least the length: " + SUFFIX.length()); + } + + return text.substring(0, maxTextLen - SUFFIX.length()) + SUFFIX; + } else { + return text; + } + } + + // TEXTUAL REPRESENTATION ////////////////////////////////////////////////////////////////////////////////////////// + + private static int getBottomDepth(Node node, boolean follow) { + if ((!follow) || (node.getPTPEdges().size() <= 0)) { + return 0; + } else { + return node.getPTPEdges().stream().mapToInt(e -> getBottomDepth(e.getPTPChild(), e.followPTPChild())).max().getAsInt() + 1; + } + } + + private static String getEdgeIndent(int size, String edgeCaption, boolean lastChild) { + String front = (lastChild)? "└─" : "├─"; + String back = "─> "; + + String middle = trimText(edgeCaption, size - front.length() - back.length()); + + boolean right = true; + while (front.length() + middle.length() + back.length() < size) { + middle = (right)? middle + "─" : "─" + middle; + right = !right; + } + + return front + middle + back; + } + + private static String getIndent(int size, boolean lastChild) { + String res = (lastChild)? " " : "|"; + while (res.length() < size) { + res = res + " "; + } + + return res; + } + + private static List prettyPrintRec(Node node, boolean follow, boolean reversed, int size) { + List res = new ArrayList(); + + int bottomDepth = getBottomDepth(node, follow); + + // this node + res.addAll(node.getPTPCaption()); + + // edges + if (follow) { + + ListIterator iter = (reversed) ? node.getPTPEdges().listIterator(node.getPTPEdges().size()) : node.getPTPEdges().listIterator(); + while ((reversed) ? iter.hasPrevious() : iter.hasNext()) { + Edge edge = (reversed) ? iter.previous() : iter.next(); + boolean endChild = ((reversed) ? !iter.hasPrevious() : !iter.hasNext()); + int indentSize = (bottomDepth - getBottomDepth(edge.getPTPChild(), edge.followPTPChild())) * size; + + boolean firstChildLine = true; + for (String childLine : prettyPrintRec(edge.getPTPChild(), edge.followPTPChild(), reversed, size)) { + if (firstChildLine) { + res.add(getEdgeIndent(indentSize, edge.getPTPCaption(), endChild) + childLine); + firstChildLine = false; + } else { + res.add(getIndent(indentSize, endChild) + childLine); + } + } + } + } + + return res; + } + + public static String prettyPrint(Node node, boolean reversed, int size) { + return prettyPrintRec(node, true, reversed, size).stream().collect(Collectors.joining("\n")); + } + + public static String prettyPrint(Node node, boolean reversed) { + return prettyPrint(node, reversed, 10); + } + + public static String prettyPrint(Node node, int size) { + return prettyPrint(node, false, size); + } + + public static String prettyPrint(Node node) { + return prettyPrintRec(node, true, false, 10).stream().collect(Collectors.joining("\n")); + } + + // GRAPHICAL REPRESENTATION //////////////////////////////////////////////////////////////////////////////////////// + + private static long addDotLineRec(Node node, boolean follow, StringBuilder strb, HashMap idMap) { + + long id; + if (idMap.containsKey(node)) { + id = idMap.get(node); + } else { + id = idMap.size(); + idMap.put(node, id); + } + + NodeShape nodeShape = (node instanceof GNode)? ((GNode)node).getPTPNodeShape() : DEFAULT_NODE_SHAPE; + List nodeStyles = (node instanceof GNode)? ((GNode)node).getPTPNodeStyles() : DEFAULT_NODE_STYLES; + String nodeColor = (node instanceof GNode)? ((GNode)node).getPTPFillColor() : DEFAULT_NODE_COLOR; + String nodeFillColor = (node instanceof GNode)? ((GNode)node).getPTPFillColor() : DEFAULT_NODE_FILLCOLOR; + String nodeLabel = node.getPTPCaption().stream().collect(Collectors.joining("\n")); + nodeLabel = nodeLabel.replaceAll("\\n", "\\\\n"); + + // this node + String nodeLine = String.format("\"%d\" [shape=\"%s\", style=\"%s\", color=\"%s\", fillcolor=\"%s\", label=\"%s\"];", + id, + nodeShape, + nodeStyles.stream().map(s -> s.name()).collect(Collectors.joining(",")), + nodeColor, + nodeFillColor, + nodeLabel + ); + strb.append(DOT_INDENT + nodeLine + "\n"); + + // edges + if (follow) { + + for (Edge edge : node.getPTPEdges()) { + + // child (recursion) + long childId = addDotLineRec(edge.getPTPChild(), edge.followPTPChild(), strb, idMap); + + EdgeShape edgeShape = (edge instanceof GEdge) ? ((GEdge) edge).getPTPEdgeShape() : DEFAULT_EDGE_SHAPE; + List edgeStyles = (edge instanceof GEdge) ? ((GEdge) edge).getPTPEdgeStyles() : DEFAULT_EDGE_STYLES; + String edgeColor = (edge instanceof GEdge) ? ((GEdge) edge).getPTPColor() : DEFAULT_EDGE_COLOR; + String edgeLabel = edge.getPTPCaption(); + edgeLabel = edgeLabel.replaceAll("\\n", "\\\\n"); + + String edgeLine = String.format("\"%s\" -> \"%s\" [shape=\"%s\", style=\"%s\", color=\"%s\", label=\"%s\"];", + id, + childId, + edgeShape, + edgeStyles.stream().map(s -> s.name()).collect(Collectors.joining(",")), + edgeColor, + edgeLabel + ); + strb.append(DOT_INDENT + edgeLine + "\n"); + } + } + + return id; + } + + public static String visualize(Node node, String graphName, String title) { + StringBuilder strb = new StringBuilder(); + strb.append(String.format("digraph %s {", graphName) + "\n"); + + if (title != null) { + strb.append(DOT_INDENT + "labelloc=\"t\";" + "\n"); + strb.append(DOT_INDENT + String.format("label=\"%s\";", title) + "\n"); + } + + HashMap idMap = new HashMap<>(); + addDotLineRec(node, true, strb, idMap); + + List leafIDs = idMap.keySet().stream().filter(n -> n.getPTPEdges().size() <= 0).map(n -> idMap.get(n)).collect(Collectors.toList()); + String sameRankLine = String.format("{rank = same; %s};", leafIDs.stream().map(i -> "\"" + i + "\"").collect(Collectors.joining("; "))); + strb.append(DOT_INDENT + sameRankLine + "\n"); + + strb.append("}"); + return strb.toString(); + } + + public static void visualizeToFile(Node node, String graphName, String title, String filepath) throws IOException { + String str = visualize(node, graphName, title); + + BufferedWriter writer; + writer = new BufferedWriter(new FileWriter(filepath)); + writer.write(str); + writer.close(); + } +} \ No newline at end of file diff --git a/src/main/java/org/lambda3/text/simplification/discourse/utils/SPOSplitter.java b/src/main/java/org/lambda3/text/simplification/discourse/utils/SPOSplitter.java new file mode 100644 index 0000000..1fdebeb --- /dev/null +++ b/src/main/java/org/lambda3/text/simplification/discourse/utils/SPOSplitter.java @@ -0,0 +1,127 @@ +/* + * ==========================License-Start============================= + * DiscourseSimplification : SPOSplitter + * + * Copyright © 2017 Lambda³ + * + * GNU General Public License 3 + * This program is free software: you can redistribute it and/or modify + * it under the terms of the GNU General Public License as published by + * the Free Software Foundation, either version 3 of the License, or + * (at your option) any later version. + * + * This program is distributed in the hope that it will be useful, + * but WITHOUT ANY WARRANTY; without even the implied warranty of + * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + * GNU General Public License for more details. + * + * You should have received a copy of the GNU General Public License + * along with this program. If not, see http://www.gnu.org/licenses/. + * ==========================License-End============================== + */ + +package org.lambda3.text.simplification.discourse.utils; + +import edu.stanford.nlp.ling.Word; +import edu.stanford.nlp.trees.Tree; +import edu.stanford.nlp.trees.tregex.TregexMatcher; +import edu.stanford.nlp.trees.tregex.TregexPattern; +import org.lambda3.text.simplification.discourse.App; +import org.lambda3.text.simplification.discourse.utils.parseTree.ParseTreeException; +import org.lambda3.text.simplification.discourse.utils.parseTree.ParseTreeExtractionUtils; +import org.lambda3.text.simplification.discourse.utils.parseTree.ParseTreeParser; +import org.lambda3.text.simplification.discourse.utils.parseTree.ParseTreeVisualizer; +import org.lambda3.text.simplification.discourse.utils.words.WordsUtils; +import org.slf4j.LoggerFactory; + +import java.util.ArrayList; +import java.util.List; +import java.util.Optional; + +/** + * + */ +public class SPOSplitter { + private static final org.slf4j.Logger LOGGER = LoggerFactory.getLogger(App.class); + + public static class Result { + private final String subject; + private final String predicate; + private final String object; + + public Result(String subject, String predicate, String object) { + this.subject = subject; + this.predicate = predicate; + this.object = object; + } + + public String getSubject() { + return subject; + } + + public String getPredicate() { + return predicate; + } + + public String getObject() { + return object; + } + + @Override + public String toString() { + return "Result{" + + "subject='" + subject + '\'' + + ", predicate='" + predicate + '\'' + + ", object='" + object + '\'' + + '}'; + } + } + + public static Optional split(String sentence) { + try { + Tree parseTree = ParseTreeParser.parse(sentence); +// LOGGER.info(ParseTreeVisualizer.prettyPrint(parseTree)); + + // pattern with object + TregexPattern p = TregexPattern.compile("ROOT <<: (S < (NP=np $.. (VP=vp [ <+(VP) (VP=lowestvp !< VP) | ==VP=lowestvp !< VP ])))"); + TregexMatcher matcher = p.matcher(parseTree); + while (matcher.findAt(parseTree)) { + Tree np = matcher.getNode("np"); + Tree vp = matcher.getNode("vp"); + Tree lowestvp = matcher.getNode("lowestvp"); + + // has object? + TregexPattern op = TregexPattern.compile(lowestvp.value() + " < (PP|NP|S|SBAR=ob !$,, (PP|NP|S|SBAR))"); + TregexMatcher omatcher = op.matcher(lowestvp); + if (omatcher.findAt(lowestvp)) { + Tree ob = omatcher.getNode("ob"); + + List subjectWords = ParseTreeExtractionUtils.getContainingWords(np); + List predicateWords = ParseTreeExtractionUtils.getWordsInBetween(parseTree, vp, ob, true, false); + List objectWords = ParseTreeExtractionUtils.getFollowingWords(vp, ob, true); + + return Optional.of(new Result( + WordsUtils.wordsToString(subjectWords), + WordsUtils.wordsToString(predicateWords), + WordsUtils.wordsToString(objectWords) + )); + } else { + List subjectWords = ParseTreeExtractionUtils.getContainingWords(np); + List predicateWords = ParseTreeExtractionUtils.getContainingWords(vp); + List objectWords = new ArrayList<>(); + + return Optional.of(new Result( + WordsUtils.wordsToString(subjectWords), + WordsUtils.wordsToString(predicateWords), + WordsUtils.wordsToString(objectWords) + )); + } + } + + } catch (ParseTreeException e) { + LOGGER.error("Could not parse sentence '{}'", sentence); + } + + return Optional.empty(); + } +} diff --git a/src/main/java/org/lambda3/text/simplification/discourse/utils/ner/NERExtractionUtils.java b/src/main/java/org/lambda3/text/simplification/discourse/utils/ner/NERExtractionUtils.java new file mode 100644 index 0000000..b14c417 --- /dev/null +++ b/src/main/java/org/lambda3/text/simplification/discourse/utils/ner/NERExtractionUtils.java @@ -0,0 +1,44 @@ +/* + * ==========================License-Start============================= + * DiscourseSimplification : NERExtractionUtils + * + * Copyright © 2017 Lambda³ + * + * GNU General Public License 3 + * This program is free software: you can redistribute it and/or modify + * it under the terms of the GNU General Public License as published by + * the Free Software Foundation, either version 3 of the License, or + * (at your option) any later version. + * + * This program is distributed in the hope that it will be useful, + * but WITHOUT ANY WARRANTY; without even the implied warranty of + * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + * GNU General Public License for more details. + * + * You should have received a copy of the GNU General Public License + * along with this program. If not, see http://www.gnu.org/licenses/. + * ==========================License-End============================== + */ + +package org.lambda3.text.simplification.discourse.utils.ner; + +import org.lambda3.text.simplification.discourse.utils.IndexRange; + +import java.util.ArrayList; +import java.util.List; + +/** + * + */ +public class NERExtractionUtils { + + public static List getNERIndexRanges(NERString nerString) { + List res = new ArrayList<>(); + + for (NERTokenGroup group : nerString.getGroups()) { + res.add(new IndexRange(group.getFromTokenIndex(), group.getToTokenIndex())); + } + + return res; + } +} diff --git a/src/main/java/org/lambda3/text/simplification/discourse/utils/ner/NERString.java b/src/main/java/org/lambda3/text/simplification/discourse/utils/ner/NERString.java new file mode 100644 index 0000000..c4d0f51 --- /dev/null +++ b/src/main/java/org/lambda3/text/simplification/discourse/utils/ner/NERString.java @@ -0,0 +1,86 @@ +/* + * ==========================License-Start============================= + * DiscourseSimplification : NERString + * + * Copyright © 2017 Lambda³ + * + * GNU General Public License 3 + * This program is free software: you can redistribute it and/or modify + * it under the terms of the GNU General Public License as published by + * the Free Software Foundation, either version 3 of the License, or + * (at your option) any later version. + * + * This program is distributed in the hope that it will be useful, + * but WITHOUT ANY WARRANTY; without even the implied warranty of + * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + * GNU General Public License for more details. + * + * You should have received a copy of the GNU General Public License + * along with this program. If not, see http://www.gnu.org/licenses/. + * ==========================License-End============================== + */ + +package org.lambda3.text.simplification.discourse.utils.ner; + +import edu.stanford.nlp.ling.Word; + +import java.util.ArrayList; +import java.util.List; +import java.util.stream.Collectors; + +/** + * + */ +public class NERString { + public static final String NO_CATEGORY = "O"; + + protected final List tokens; + private List groups; + + public NERString(List tokens) { + this.tokens = tokens; + this.createGroups(); + } + + private void createGroups() { + this.groups = new ArrayList<>(); + + String lastCategory = null; + List currGroupTokens = new ArrayList<>(); + for (NERToken nerToken : this.tokens) { + + if ((lastCategory != null) && (!nerToken.getCategory().equals(lastCategory))) { + // add + this.groups.add(new NERTokenGroup(currGroupTokens)); + currGroupTokens = new ArrayList<>(); + } + + currGroupTokens.add(nerToken); + lastCategory = nerToken.getCategory(); + } + + // add + this.groups.add(new NERTokenGroup(currGroupTokens)); + } + + public List getTokens() { + return tokens; + } + + public List getGroups() { + return groups; + } + + private List getWords(int fromIndex, int toIndex) { + return tokens.subList(fromIndex, toIndex).stream().map(t -> new Word(t.getText())).collect(Collectors.toList()); + } + + public List getWords() { + return getWords(0, tokens.size()); + } + + @Override + public String toString() { + return tokens.stream().map(NERToken::toString).collect(Collectors.joining("\n")); + } +} diff --git a/src/main/java/org/lambda3/text/simplification/discourse/utils/ner/NERStringParseException.java b/src/main/java/org/lambda3/text/simplification/discourse/utils/ner/NERStringParseException.java new file mode 100644 index 0000000..a9783ef --- /dev/null +++ b/src/main/java/org/lambda3/text/simplification/discourse/utils/ner/NERStringParseException.java @@ -0,0 +1,33 @@ +/* + * ==========================License-Start============================= + * DiscourseSimplification : NERStringParseException + * + * Copyright © 2017 Lambda³ + * + * GNU General Public License 3 + * This program is free software: you can redistribute it and/or modify + * it under the terms of the GNU General Public License as published by + * the Free Software Foundation, either version 3 of the License, or + * (at your option) any later version. + * + * This program is distributed in the hope that it will be useful, + * but WITHOUT ANY WARRANTY; without even the implied warranty of + * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + * GNU General Public License for more details. + * + * You should have received a copy of the GNU General Public License + * along with this program. If not, see http://www.gnu.org/licenses/. + * ==========================License-End============================== + */ + +package org.lambda3.text.simplification.discourse.utils.ner; + +/** + * + */ +public class NERStringParseException extends Exception { + + public NERStringParseException(String msg) { + super(msg); + } +} diff --git a/src/main/java/org/lambda3/text/simplification/discourse/utils/ner/NERStringParser.java b/src/main/java/org/lambda3/text/simplification/discourse/utils/ner/NERStringParser.java new file mode 100644 index 0000000..b63ae32 --- /dev/null +++ b/src/main/java/org/lambda3/text/simplification/discourse/utils/ner/NERStringParser.java @@ -0,0 +1,91 @@ +/* + * ==========================License-Start============================= + * DiscourseSimplification : NERStringParser + * + * Copyright © 2017 Lambda³ + * + * GNU General Public License 3 + * This program is free software: you can redistribute it and/or modify + * it under the terms of the GNU General Public License as published by + * the Free Software Foundation, either version 3 of the License, or + * (at your option) any later version. + * + * This program is distributed in the hope that it will be useful, + * but WITHOUT ANY WARRANTY; without even the implied warranty of + * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + * GNU General Public License for more details. + * + * You should have received a copy of the GNU General Public License + * along with this program. If not, see http://www.gnu.org/licenses/. + * ==========================License-End============================== + */ + +package org.lambda3.text.simplification.discourse.utils.ner; + +import edu.stanford.nlp.ie.AbstractSequenceClassifier; +import edu.stanford.nlp.ie.crf.CRFClassifier; +import edu.stanford.nlp.trees.Tree; +import org.lambda3.text.simplification.discourse.utils.ner.tner.TNERString; +import org.lambda3.text.simplification.discourse.utils.ner.tner.TNERToken; +import org.lambda3.text.simplification.discourse.utils.parseTree.ParseTreeExtractionUtils; +import org.lambda3.text.simplification.discourse.utils.words.WordsUtils; + +import java.util.ArrayList; +import java.util.List; + +/** + * + */ +public class NERStringParser { + + private static final AbstractSequenceClassifier NER_CLASSIFIER = CRFClassifier.getClassifierNoExceptions("edu/stanford/nlp/models/ner/english.all.3class.distsim.crf.ser.gz"); + + public static NERString parse(String text) { + List tokens = new ArrayList<>(); + + String nerString = NER_CLASSIFIER.classifyToString(text); + String[] nerTokens = nerString.split(" "); + + int idx = 0; + for (String nerToken : nerTokens) { + int sep_idx = nerToken.lastIndexOf("/"); + + // create text + String txt = nerToken.substring(0, sep_idx); + String category = nerToken.substring(sep_idx + 1); + NERToken token = new NERToken(idx, txt, category); + tokens.add(token); + + ++idx; + } + + return new NERString(tokens); + } + + public static TNERString parse(Tree parseTree) throws NERStringParseException { + List tokens = new ArrayList<>(); + + List parseTreeLeafNumbers = ParseTreeExtractionUtils.getLeafNumbers(parseTree, parseTree); + String nerString = NER_CLASSIFIER.classifyToString(WordsUtils.wordsToString(parseTree.yieldWords())); + String[] nerTokens = nerString.split(" "); + + if (parseTreeLeafNumbers.size() != nerTokens.length) { + throw new NERStringParseException("Could not map NER string to parseTree"); + } + + int idx = 0; + for (String nerToken : nerTokens) { + int sep_idx = nerToken.lastIndexOf("/"); + + // create token + String text = nerToken.substring(0, sep_idx); + String category = nerToken.substring(sep_idx + 1); + TNERToken token = new TNERToken(idx, text, category, parseTree.getNodeNumber(parseTreeLeafNumbers.get(idx))); + tokens.add(token); + + ++idx; + } + + return new TNERString(tokens, parseTree); + } +} diff --git a/src/main/java/org/lambda3/text/simplification/discourse/utils/ner/NERToken.java b/src/main/java/org/lambda3/text/simplification/discourse/utils/ner/NERToken.java new file mode 100644 index 0000000..2d02714 --- /dev/null +++ b/src/main/java/org/lambda3/text/simplification/discourse/utils/ner/NERToken.java @@ -0,0 +1,61 @@ +/* + * ==========================License-Start============================= + * DiscourseSimplification : NERToken + * + * Copyright © 2017 Lambda³ + * + * GNU General Public License 3 + * This program is free software: you can redistribute it and/or modify + * it under the terms of the GNU General Public License as published by + * the Free Software Foundation, either version 3 of the License, or + * (at your option) any later version. + * + * This program is distributed in the hope that it will be useful, + * but WITHOUT ANY WARRANTY; without even the implied warranty of + * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + * GNU General Public License for more details. + * + * You should have received a copy of the GNU General Public License + * along with this program. If not, see http://www.gnu.org/licenses/. + * ==========================License-End============================== + */ + +package org.lambda3.text.simplification.discourse.utils.ner; + +import edu.stanford.nlp.ling.Word; + +/** + * + */ +public class NERToken { + protected final int index; + protected final String text; + protected final String category; + + public NERToken(int index, String text, String category) { + this.index = index; + this.text = text; + this.category = category; + } + + public int getIndex() { + return index; + } + + public String getText() { + return text; + } + + public Word getWord() { + return new Word(text); + } + + public String getCategory() { + return category; + } + + @Override + public String toString() { + return "(" + index + ": " + category + ", '" + text + "')"; + } +} diff --git a/src/main/java/org/lambda3/text/simplification/discourse/utils/ner/NERTokenGroup.java b/src/main/java/org/lambda3/text/simplification/discourse/utils/ner/NERTokenGroup.java new file mode 100644 index 0000000..6e41098 --- /dev/null +++ b/src/main/java/org/lambda3/text/simplification/discourse/utils/ner/NERTokenGroup.java @@ -0,0 +1,68 @@ +/* + * ==========================License-Start============================= + * DiscourseSimplification : NERTokenGroup + * + * Copyright © 2017 Lambda³ + * + * GNU General Public License 3 + * This program is free software: you can redistribute it and/or modify + * it under the terms of the GNU General Public License as published by + * the Free Software Foundation, either version 3 of the License, or + * (at your option) any later version. + * + * This program is distributed in the hope that it will be useful, + * but WITHOUT ANY WARRANTY; without even the implied warranty of + * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + * GNU General Public License for more details. + * + * You should have received a copy of the GNU General Public License + * along with this program. If not, see http://www.gnu.org/licenses/. + * ==========================License-End============================== + */ + +package org.lambda3.text.simplification.discourse.utils.ner; + +import edu.stanford.nlp.ling.Word; + +import java.util.List; +import java.util.stream.Collectors; + +/** + * + */ +class NERTokenGroup { + private final List tokens; + + public NERTokenGroup(List tokens) { + this.tokens = tokens; + } + + public int getFromTokenIndex() { + return tokens.get(0).index; + } + + public int getToTokenIndex() { + return tokens.get(tokens.size() - 1).index; + } + + public List getTokens() { + return tokens; + } + + private String getCategory() { + return tokens.get(0).getCategory(); + } + + public boolean isNamedEntity() { + return !getCategory().equals(NERString.NO_CATEGORY); + } + + public List getWords() { + return tokens.stream().map(t -> new Word(t.getText())).collect(Collectors.toList()); + } + + @Override + public String toString() { + return "[\n" + tokens.stream().map(t -> "\t" + t.toString()).collect(Collectors.joining("\n")) + "\n]"; + } +} diff --git a/src/main/java/org/lambda3/text/simplification/discourse/utils/ner/tner/TNERString.java b/src/main/java/org/lambda3/text/simplification/discourse/utils/ner/tner/TNERString.java new file mode 100644 index 0000000..56df00f --- /dev/null +++ b/src/main/java/org/lambda3/text/simplification/discourse/utils/ner/tner/TNERString.java @@ -0,0 +1,46 @@ +/* + * ==========================License-Start============================= + * DiscourseSimplification : TNERString + * + * Copyright © 2017 Lambda³ + * + * GNU General Public License 3 + * This program is free software: you can redistribute it and/or modify + * it under the terms of the GNU General Public License as published by + * the Free Software Foundation, either version 3 of the License, or + * (at your option) any later version. + * + * This program is distributed in the hope that it will be useful, + * but WITHOUT ANY WARRANTY; without even the implied warranty of + * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + * GNU General Public License for more details. + * + * You should have received a copy of the GNU General Public License + * along with this program. If not, see http://www.gnu.org/licenses/. + * ==========================License-End============================== + */ + +package org.lambda3.text.simplification.discourse.utils.ner.tner; + +import edu.stanford.nlp.trees.Tree; +import org.lambda3.text.simplification.discourse.utils.ner.NERString; + +import java.util.ArrayList; +import java.util.List; + +/** + * + */ +public class TNERString extends NERString { + private final Tree parseTree; + + public TNERString(List tokens, Tree parseTree) { + super(new ArrayList<>(tokens)); + this.parseTree = parseTree; + this.tokens.forEach(t -> ((TNERToken) t).setNerString(this)); + } + + public Tree getParseTree() { + return parseTree; + } +} diff --git a/src/main/java/org/lambda3/text/simplification/discourse/utils/ner/tner/TNERToken.java b/src/main/java/org/lambda3/text/simplification/discourse/utils/ner/tner/TNERToken.java new file mode 100644 index 0000000..be56769 --- /dev/null +++ b/src/main/java/org/lambda3/text/simplification/discourse/utils/ner/tner/TNERToken.java @@ -0,0 +1,69 @@ +/* + * ==========================License-Start============================= + * DiscourseSimplification : TNERToken + * + * Copyright © 2017 Lambda³ + * + * GNU General Public License 3 + * This program is free software: you can redistribute it and/or modify + * it under the terms of the GNU General Public License as published by + * the Free Software Foundation, either version 3 of the License, or + * (at your option) any later version. + * + * This program is distributed in the hope that it will be useful, + * but WITHOUT ANY WARRANTY; without even the implied warranty of + * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + * GNU General Public License for more details. + * + * You should have received a copy of the GNU General Public License + * along with this program. If not, see http://www.gnu.org/licenses/. + * ==========================License-End============================== + */ + +package org.lambda3.text.simplification.discourse.utils.ner.tner; + +import edu.stanford.nlp.trees.Tree; +import org.lambda3.text.simplification.discourse.utils.ner.NERToken; + +/** + * + */ +public class TNERToken extends NERToken { + + private final Tree leafNode; + private TNERString nerString; + private Tree posNode; + + public TNERToken(int index, String token, String category, Tree leafNode) { + super(index, token, category); + this.nerString = null; + this.leafNode = leafNode; + this.posNode = null; // wait until nerString is set + } + + public void setNerString(TNERString nerString) { + this.nerString = nerString; + this.posNode = leafNode.parent(getParseTree()); + } + + private Tree getParseTree() { + return nerString.getParseTree(); + } + + public Tree getLeafNode() { + return leafNode; + } + + public Tree getPosNode() { + return posNode; + } + + private String getPOSTag() { + return posNode.value(); + } + + @Override + public String toString() { + return "(" + index + ": " + category + ", '" + text + "', " + getPOSTag() + ")"; + } +} diff --git a/src/main/java/org/lambda3/text/simplification/discourse/utils/parseTree/ParseTreeException.java b/src/main/java/org/lambda3/text/simplification/discourse/utils/parseTree/ParseTreeException.java new file mode 100644 index 0000000..4c40e23 --- /dev/null +++ b/src/main/java/org/lambda3/text/simplification/discourse/utils/parseTree/ParseTreeException.java @@ -0,0 +1,33 @@ +/* + * ==========================License-Start============================= + * DiscourseSimplification : ParseTreeException + * + * Copyright © 2017 Lambda³ + * + * GNU General Public License 3 + * This program is free software: you can redistribute it and/or modify + * it under the terms of the GNU General Public License as published by + * the Free Software Foundation, either version 3 of the License, or + * (at your option) any later version. + * + * This program is distributed in the hope that it will be useful, + * but WITHOUT ANY WARRANTY; without even the implied warranty of + * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + * GNU General Public License for more details. + * + * You should have received a copy of the GNU General Public License + * along with this program. If not, see http://www.gnu.org/licenses/. + * ==========================License-End============================== + */ + +package org.lambda3.text.simplification.discourse.utils.parseTree; + +/** + * + */ +public class ParseTreeException extends Exception { + + public ParseTreeException(String text) { + super("Failed to parse text: \"" + text + "\""); + } +} diff --git a/src/main/java/org/lambda3/text/simplification/discourse/utils/parseTree/ParseTreeExtractionUtils.java b/src/main/java/org/lambda3/text/simplification/discourse/utils/parseTree/ParseTreeExtractionUtils.java new file mode 100644 index 0000000..81f3726 --- /dev/null +++ b/src/main/java/org/lambda3/text/simplification/discourse/utils/parseTree/ParseTreeExtractionUtils.java @@ -0,0 +1,222 @@ +/* + * ==========================License-Start============================= + * DiscourseSimplification : ParseTreeExtractionUtils + * + * Copyright © 2017 Lambda³ + * + * GNU General Public License 3 + * This program is free software: you can redistribute it and/or modify + * it under the terms of the GNU General Public License as published by + * the Free Software Foundation, either version 3 of the License, or + * (at your option) any later version. + * + * This program is distributed in the hope that it will be useful, + * but WITHOUT ANY WARRANTY; without even the implied warranty of + * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + * GNU General Public License for more details. + * + * You should have received a copy of the GNU General Public License + * along with this program. If not, see http://www.gnu.org/licenses/. + * ==========================License-End============================== + */ + +package org.lambda3.text.simplification.discourse.utils.parseTree; + +import edu.stanford.nlp.ling.Word; +import edu.stanford.nlp.trees.Tree; +import org.lambda3.text.simplification.discourse.utils.IndexRange; +import org.lambda3.text.simplification.discourse.utils.ner.NERExtractionUtils; +import org.lambda3.text.simplification.discourse.utils.ner.NERString; + +import java.util.ArrayList; +import java.util.Collections; +import java.util.List; +import java.util.Optional; +import java.util.stream.Collectors; + +public class ParseTreeExtractionUtils { + + public interface INodeChecker { + boolean check(Tree anchorTree, Tree node); + } + + + public static List getLeafNumbers(Tree anchorTree, Tree node) { + List res = new ArrayList<>(); + for (Tree leaf : node.getLeaves()) { + res.add(leaf.nodeNumber(anchorTree)); + } + return res; + } + + private static IndexRange getLeafIndexRange(Tree anchorTree, Tree node) { + int fromIdx = -1; + int toIdx = -1; + + List leafNumbers = getLeafNumbers(anchorTree, anchorTree); + List nodeLeafNumbers = getLeafNumbers(anchorTree, node); + int fromNumber = nodeLeafNumbers.get(0); + int toNumber = nodeLeafNumbers.get(nodeLeafNumbers.size() - 1); + + int idx = 0; + for (int leafNumber : leafNumbers) { + if (leafNumber == fromNumber) { + fromIdx = idx; + } + if (leafNumber == toNumber) { + toIdx = idx; + } + ++idx; + } + + if ((fromIdx >= 0) && (toIdx >= 0)) { + return new IndexRange(fromIdx, toIdx); + } else { + throw new IllegalArgumentException("node should be a subtree of anchorTree."); + } + } + + // returns True, if the model of node would not check/divide a NER group, else False + public static boolean isNERSafeExtraction(Tree anchorTree, NERString anchorNERString, Tree node) { + IndexRange leafIdxRange = getLeafIndexRange(anchorTree, node); + List nerIdxRanges = NERExtractionUtils.getNERIndexRanges(anchorNERString); + + for (IndexRange nerIdxRange : nerIdxRanges) { + if (((nerIdxRange.getFromIdx() < leafIdxRange.getFromIdx()) && (leafIdxRange.getFromIdx() <= nerIdxRange.getToIdx())) + || ((nerIdxRange.getFromIdx() <= leafIdxRange.getToIdx()) && (leafIdxRange.getToIdx() < nerIdxRange.getToIdx()))) { + return false; + } + } + + return true; + } + + + + + public static List leavesToWords(List leaves) { + return leaves.stream().map(l -> l.yieldWords().get(0)).collect(Collectors.toList()); + } + + public static List> splitLeaves(Tree anchorTree, List leaves, INodeChecker leafChecker, boolean removeEmpty) { + List> res = new ArrayList<>(); + List currElement = new ArrayList<>(); + for (Tree leaf : leaves) { + if (leafChecker.check(anchorTree, leaf)) { + if ((currElement.size() > 0) || (!removeEmpty)) + res.add(currElement); + currElement = new ArrayList<>(); + } else { + currElement.add(leaf); + } + } + if ((currElement.size() > 0) || (!removeEmpty)) + res.add(currElement); + + return res; + } + + public static List findLeaves(Tree anchorTree, List leaves, INodeChecker leafChecker, boolean reversed) { + List res = leaves.stream().filter(l -> leafChecker.check(anchorTree, l)).collect(Collectors.toList()); + if (reversed) { + Collections.reverse(res); + } + return res; + } + + public static Tree getFirstLeaf(Tree tree) { + if (tree.isLeaf()) { + return tree; + } else { + return getFirstLeaf(tree.firstChild()); + } + } + + public static Tree getLastLeaf(Tree tree) { + if (tree.isLeaf()) { + return tree; + } else { + return getLastLeaf(tree.lastChild()); + } + } + + public static List getLeavesInBetween(Tree anchorTree, Tree leftNode, Tree rightNode, boolean includeLeft, boolean includeRight) { + List res = new ArrayList<>(); + + if (leftNode == null) { + leftNode = getFirstLeaf(anchorTree); + } + if (rightNode == null) { + rightNode = getLastLeaf(anchorTree); + } + + int startLeafNumber = (includeLeft) ? getFirstLeaf(leftNode).nodeNumber(anchorTree) : getLastLeaf(leftNode).nodeNumber(anchorTree) + 1; + int endLeafNumber = (includeRight) ? getLastLeaf(rightNode).nodeNumber(anchorTree) : getFirstLeaf(rightNode).nodeNumber(anchorTree) - 1; + if ((startLeafNumber < 0) || (endLeafNumber < 0)) { + return res; + } + + for (int i = startLeafNumber; i <= endLeafNumber; ++i) { + Tree node = anchorTree.getNodeNumber(i); + if (node.isLeaf()) { + res.addAll(node); + } + } + + return res; + } + + public static List getPrecedingLeaves(Tree anchorTree, Tree node, boolean include) { + return getLeavesInBetween(anchorTree, getFirstLeaf(anchorTree), node, true, include); + } + + public static List getFollowingLeaves(Tree anchorTree, Tree node, boolean include) { + return getLeavesInBetween(anchorTree, node, getLastLeaf(anchorTree), include, true); + } + + public static List getContainingLeaves(Tree node) { + return getLeavesInBetween(node, getFirstLeaf(node), getLastLeaf(node), true, true); + } + + public static List getWordsInBetween(Tree anchorTree, Tree leftNode, Tree rightNode, boolean includeLeft, boolean includeRight) { + return leavesToWords(getLeavesInBetween(anchorTree, leftNode, rightNode, includeLeft, includeRight)); + } + + public static List getPrecedingWords(Tree anchorTree, Tree node, boolean include) { + return leavesToWords(getPrecedingLeaves(anchorTree, node, include)); + } + + public static List getFollowingWords(Tree anchorTree, Tree node, boolean include) { + return leavesToWords(getFollowingLeaves(anchorTree, node, include)); + } + + public static List getContainingWords(Tree node) { + return leavesToWords(getContainingLeaves(node)); + } + + public static Optional findSpanningTree(Tree anchorTree, Tree firstLeaf, Tree lastLeaf) { + return findSpanningTreeRec(anchorTree, anchorTree, firstLeaf, lastLeaf); + } + + private static Optional findSpanningTreeRec(Tree anchorTree, Tree currTree, Tree firstLeaf, Tree lastLeaf) { + int firstNumber = firstLeaf.nodeNumber(anchorTree); + int lastNumber = lastLeaf.nodeNumber(anchorTree); + int currFirstNumber = getFirstLeaf(currTree).nodeNumber(anchorTree); + int currLastNumber = getLastLeaf(currTree).nodeNumber(anchorTree); + if (((currFirstNumber <= firstNumber) && (firstNumber <= currLastNumber)) && ((currFirstNumber <= lastNumber) && (lastNumber <= currLastNumber))) { + if ((currFirstNumber == firstNumber) && (lastNumber == currLastNumber)) { + return Optional.of(currTree); + } else { + // recursion + for (Tree child : currTree.getChildrenAsList()) { + Optional cr = findSpanningTreeRec(anchorTree, child, firstLeaf, lastLeaf); + if (cr.isPresent()) { + return Optional.of(cr.get()); + } + } + } + } + + return Optional.empty(); + } +} diff --git a/src/main/java/org/lambda3/text/simplification/discourse/utils/parseTree/ParseTreeParser.java b/src/main/java/org/lambda3/text/simplification/discourse/utils/parseTree/ParseTreeParser.java new file mode 100644 index 0000000..92f0736 --- /dev/null +++ b/src/main/java/org/lambda3/text/simplification/discourse/utils/parseTree/ParseTreeParser.java @@ -0,0 +1,56 @@ +/* + * ==========================License-Start============================= + * DiscourseSimplification : ParseTreeParser + * + * Copyright © 2017 Lambda³ + * + * GNU General Public License 3 + * This program is free software: you can redistribute it and/or modify + * it under the terms of the GNU General Public License as published by + * the Free Software Foundation, either version 3 of the License, or + * (at your option) any later version. + * + * This program is distributed in the hope that it will be useful, + * but WITHOUT ANY WARRANTY; without even the implied warranty of + * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + * GNU General Public License for more details. + * + * You should have received a copy of the GNU General Public License + * along with this program. If not, see http://www.gnu.org/licenses/. + * ==========================License-End============================== + */ + +package org.lambda3.text.simplification.discourse.utils.parseTree; + +import edu.stanford.nlp.ling.CoreLabel; +import edu.stanford.nlp.parser.lexparser.LexicalizedParser; +import edu.stanford.nlp.process.CoreLabelTokenFactory; +import edu.stanford.nlp.process.PTBTokenizer; +import edu.stanford.nlp.process.TokenizerFactory; +import edu.stanford.nlp.trees.Tree; + +import java.io.StringReader; +import java.util.List; + +/** + * + */ +public class ParseTreeParser { + + private static final TokenizerFactory TOKENIZER_FACTORY = PTBTokenizer.factory(new CoreLabelTokenFactory(), ""); + private static final LexicalizedParser LEX_PARSER = LexicalizedParser.loadModel("edu/stanford/nlp/models/lexparser/englishPCFG.ser.gz"); + + static { + LEX_PARSER.setOptionFlags("-outputFormat", "penn,typedDependenciesCollapsed", "-retainTmpSubcategories"); + } + + public static Tree parse(String text) throws ParseTreeException { + List rawWords = TOKENIZER_FACTORY.getTokenizer(new StringReader(text)).tokenize(); + Tree bestParse = LEX_PARSER.parseTree(rawWords); + if (bestParse == null) { + throw new ParseTreeException(text); + } + + return bestParse; + } +} diff --git a/src/main/java/org/lambda3/text/simplification/discourse/utils/parseTree/ParseTreeVisualizer.java b/src/main/java/org/lambda3/text/simplification/discourse/utils/parseTree/ParseTreeVisualizer.java new file mode 100644 index 0000000..c095ec6 --- /dev/null +++ b/src/main/java/org/lambda3/text/simplification/discourse/utils/parseTree/ParseTreeVisualizer.java @@ -0,0 +1,68 @@ +/* + * ==========================License-Start============================= + * DiscourseSimplification : ParseTreeVisualizer + * + * Copyright © 2017 Lambda³ + * + * GNU General Public License 3 + * This program is free software: you can redistribute it and/or modify + * it under the terms of the GNU General Public License as published by + * the Free Software Foundation, either version 3 of the License, or + * (at your option) any later version. + * + * This program is distributed in the hope that it will be useful, + * but WITHOUT ANY WARRANTY; without even the implied warranty of + * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + * GNU General Public License for more details. + * + * You should have received a copy of the GNU General Public License + * along with this program. If not, see http://www.gnu.org/licenses/. + * ==========================License-End============================== + */ + +package org.lambda3.text.simplification.discourse.utils.parseTree; + +import edu.stanford.nlp.trees.Tree; +import org.lambda3.text.simplification.discourse.utils.PrettyTreePrinter; + +import java.util.ArrayList; +import java.util.Arrays; +import java.util.List; +import java.util.stream.Collectors; + +/** + * + */ +public class ParseTreeVisualizer { + + public static String prettyPrint(Tree parseTree) { + MyNode node = new MyNode(parseTree, parseTree); + return PrettyTreePrinter.prettyPrint(node, false); + } + + private static class MyNode implements PrettyTreePrinter.Node { + private final List children; + private final String caption; + private final int nr; + + public MyNode(Tree parseNode, Tree anchor) { + this.caption = parseNode.value(); + this.children = new ArrayList<>(); + for (Tree childNode : parseNode.getChildrenAsList()) { + this.children.add(new MyNode(childNode, anchor)); + } + this.nr = parseNode.nodeNumber(anchor); + } + + @Override + public List getPTPCaption() { + return Arrays.asList(caption, "#" + nr); + } + + @Override + public List getPTPEdges() { + return children.stream().map(c -> new PrettyTreePrinter.DefaultEdge("", c, true)).collect(Collectors.toList()); + } + + } +} diff --git a/src/main/java/org/lambda3/text/simplification/discourse/utils/pos/POSTagger.java b/src/main/java/org/lambda3/text/simplification/discourse/utils/pos/POSTagger.java new file mode 100644 index 0000000..cabcc35 --- /dev/null +++ b/src/main/java/org/lambda3/text/simplification/discourse/utils/pos/POSTagger.java @@ -0,0 +1,58 @@ +/* + * ==========================License-Start============================= + * DiscourseSimplification : POSTagger + * + * Copyright © 2017 Lambda³ + * + * GNU General Public License 3 + * This program is free software: you can redistribute it and/or modify + * it under the terms of the GNU General Public License as published by + * the Free Software Foundation, either version 3 of the License, or + * (at your option) any later version. + * + * This program is distributed in the hope that it will be useful, + * but WITHOUT ANY WARRANTY; without even the implied warranty of + * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + * GNU General Public License for more details. + * + * You should have received a copy of the GNU General Public License + * along with this program. If not, see http://www.gnu.org/licenses/. + * ==========================License-End============================== + */ + +package org.lambda3.text.simplification.discourse.utils.pos; + +import edu.stanford.nlp.tagger.maxent.MaxentTagger; + +import java.util.ArrayList; +import java.util.List; + +/** + * + */ +public class POSTagger { + private static final MaxentTagger TAGGER = new MaxentTagger("edu/stanford/nlp/models/pos-tagger/english-left3words/english-left3words-distsim.tagger"); + + public static List parse(String text) { + List tokens = new ArrayList<>(); + + String posString = TAGGER.tagString(text); + + String[] posTokens = posString.split(" "); + + int idx = 0; + for (String posToken : posTokens) { + int sep_idx = posToken.lastIndexOf("_"); + + // create text + String txt = posToken.substring(0, sep_idx); + String pos = posToken.substring(sep_idx + 1); + POSToken token = new POSToken(idx, txt, pos); + tokens.add(token); + + ++idx; + } + + return tokens; + } +} diff --git a/src/main/java/org/lambda3/text/simplification/discourse/utils/pos/POSToken.java b/src/main/java/org/lambda3/text/simplification/discourse/utils/pos/POSToken.java new file mode 100644 index 0000000..99b121d --- /dev/null +++ b/src/main/java/org/lambda3/text/simplification/discourse/utils/pos/POSToken.java @@ -0,0 +1,54 @@ +/* + * ==========================License-Start============================= + * DiscourseSimplification : POSToken + * + * Copyright © 2017 Lambda³ + * + * GNU General Public License 3 + * This program is free software: you can redistribute it and/or modify + * it under the terms of the GNU General Public License as published by + * the Free Software Foundation, either version 3 of the License, or + * (at your option) any later version. + * + * This program is distributed in the hope that it will be useful, + * but WITHOUT ANY WARRANTY; without even the implied warranty of + * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + * GNU General Public License for more details. + * + * You should have received a copy of the GNU General Public License + * along with this program. If not, see http://www.gnu.org/licenses/. + * ==========================License-End============================== + */ + +package org.lambda3.text.simplification.discourse.utils.pos; + +/** + * + */ +public class POSToken { + private final int index; + private final String text; + private final String pos; + + public POSToken(int index, String text, String pos) { + this.index = index; + this.text = text; + this.pos = pos; + } + + public int getIndex() { + return index; + } + + public String getText() { + return text; + } + + public String getPos() { + return pos; + } + + public String toString() { + return "(" + index + ": " + pos + ", '" + text + "')"; + } +} diff --git a/src/main/java/org/lambda3/text/simplification/discourse/utils/sentences/SentencesUtils.java b/src/main/java/org/lambda3/text/simplification/discourse/utils/sentences/SentencesUtils.java new file mode 100644 index 0000000..c540e9a --- /dev/null +++ b/src/main/java/org/lambda3/text/simplification/discourse/utils/sentences/SentencesUtils.java @@ -0,0 +1,69 @@ +/* + * ==========================License-Start============================= + * DiscourseSimplification : SentencesUtils + * + * Copyright © 2017 Lambda³ + * + * GNU General Public License 3 + * This program is free software: you can redistribute it and/or modify + * it under the terms of the GNU General Public License as published by + * the Free Software Foundation, either version 3 of the License, or + * (at your option) any later version. + * + * This program is distributed in the hope that it will be useful, + * but WITHOUT ANY WARRANTY; without even the implied warranty of + * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + * GNU General Public License for more details. + * + * You should have received a copy of the GNU General Public License + * along with this program. If not, see http://www.gnu.org/licenses/. + * ==========================License-End============================== + */ + +package org.lambda3.text.simplification.discourse.utils.sentences; + +import edu.stanford.nlp.ling.HasWord; +import edu.stanford.nlp.ling.SentenceUtils; +import edu.stanford.nlp.process.DocumentPreprocessor; + +import java.io.*; +import java.util.ArrayList; +import java.util.List; + +/** + * + */ +public class SentencesUtils { + + private static List splitIntoSentences(Reader reader) { + List res = new ArrayList<>(); + + DocumentPreprocessor dp = new DocumentPreprocessor(reader); + for (List sentence : dp) { + res.add(SentenceUtils.listToString(sentence)); + } + + return res; + } + + public static List splitIntoSentences(String text) { + return splitIntoSentences(new StringReader(text)); + } + + public static List splitIntoSentencesFromFile(File file, boolean byLines) throws IOException { + if (byLines) { + List res = new ArrayList<>(); + + try (BufferedReader br = new BufferedReader(new FileReader(file))) { + String line; + while ((line = br.readLine()) != null) { + res.add(line); + } + } + + return res; + } else { + return splitIntoSentences(new BufferedReader(new FileReader(file))); + } + } +} diff --git a/src/main/java/org/lambda3/text/simplification/discourse/utils/words/WordsUtils.java b/src/main/java/org/lambda3/text/simplification/discourse/utils/words/WordsUtils.java new file mode 100644 index 0000000..b9a781e --- /dev/null +++ b/src/main/java/org/lambda3/text/simplification/discourse/utils/words/WordsUtils.java @@ -0,0 +1,114 @@ +/* + * ==========================License-Start============================= + * DiscourseSimplification : WordsUtils + * + * Copyright © 2017 Lambda³ + * + * GNU General Public License 3 + * This program is free software: you can redistribute it and/or modify + * it under the terms of the GNU General Public License as published by + * the Free Software Foundation, either version 3 of the License, or + * (at your option) any later version. + * + * This program is distributed in the hope that it will be useful, + * but WITHOUT ANY WARRANTY; without even the implied warranty of + * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + * GNU General Public License for more details. + * + * You should have received a copy of the GNU General Public License + * along with this program. If not, see http://www.gnu.org/licenses/. + * ==========================License-End============================== + */ + +package org.lambda3.text.simplification.discourse.utils.words; + +import edu.stanford.nlp.ling.CoreLabel; +import edu.stanford.nlp.ling.SentenceUtils; +import edu.stanford.nlp.ling.Word; +import edu.stanford.nlp.process.CoreLabelTokenFactory; +import edu.stanford.nlp.process.PTBTokenizer; +import edu.stanford.nlp.simple.Sentence; +import org.lambda3.text.simplification.sentence.transformation.Core; + +import java.io.StringReader; +import java.util.ArrayList; +import java.util.Arrays; +import java.util.Iterator; +import java.util.List; + +/** + * + */ +public class WordsUtils { + + public static Word lemmatize(Word word) { + Sentence sentence = new Sentence(word.value()); + return new Word(sentence.lemma(0)); + } + + public static List splitIntoWords(String sentence) { + PTBTokenizer ptbt = new PTBTokenizer<>(new StringReader(sentence), new CoreLabelTokenFactory(), ""); + List words = new ArrayList<>(); + + while (ptbt.hasNext()) { + CoreLabel label = ptbt.next(); + words.add(new Word(label)); + } + + return words; + } + + public static String wordsToString(List words) { + return SentenceUtils.listToString(words); + } + + public static String wordsToProperSentenceString(List words) { + return wordsToString(wordsToProperSentence(words)); + } + + private static Word capitalizeWord(Word word) { + String s = word.value(); + if (s.length() > 0) { + s = s.substring(0, 1).toUpperCase() + s.substring(1); + } + + return new Word(s); + } + + public static Word lowercaseWord(Word word) { + return new Word(word.value().toLowerCase()); + } + + private static List wordsToProperSentence(List words) { + List res = new ArrayList<>(); + res.addAll(words); + + // trim '.' and ',' at beginning and the end and remove multiple, consecutive occurrences + for (String c : Arrays.asList(".", ",")) { + Word prev = null; + Iterator it = res.iterator(); + while (it.hasNext()) { + Word word = it.next(); + if (word.value().equals(c)) { + if (prev == null || prev.value().equals(word.value())) { + it.remove(); + } + } + prev = word; + } + if ((!res.isEmpty()) && (res.get(res.size() - 1).value().equals(c))) { + res.remove(res.size() - 1); + } + } + + // add a '.' at the end + res.add(new Word(".")); + + // capitalize first word + if (!res.isEmpty()) { + res.set(0, capitalizeWord(res.get(0))); + } + + return res; + } +} diff --git a/src/main/resources/attribution_verbs.conf b/src/main/resources/attribution_verbs.conf new file mode 100644 index 0000000..d379511 --- /dev/null +++ b/src/main/resources/attribution_verbs.conf @@ -0,0 +1,249 @@ +attribution_verbs = [ +comment, +have faith in, +consider, +demand, +apprise, +report, +evince, +identify, +enlighten, +utter, +ruminate, +give away, +discern, +hold, +acknowledge, +explain, +hypothesize, +forbid, +shout, +theorise, +betray, +turn down, +traverse , +pipe up, +cogitate, +confide, +hope, +dispute, +notify, +conjecture, +televise, +signify , +read, +propose, +void, +express, +perceive, +mention, +meditate, +insist, +presume, +judge, +compute, +speculate, +discuss, +counter, +reveal, +contradict, +conceive, +proclaim, +hypothesise, +ascertain, +signal, +mean, +respond, +prohibit, +signify, +weight, +urge, +repudiate, +pronounce, +deduce, +asseverate, +design, +expect, +critique, +adjudge, +enounce, +wonder, +educate, +detect, +deliberate, +confess, +rehearse, +publish, +verbalize, +veto, +state, +suspect, +disprove, +blur, +manifest, +disclose, +reiterate, +avow, +slur, +disagree, +communicate, +enunciate, +disallow, +disclaim, +contemplate, +reason, +brood, +imagine, +distinguish, +estimate, +narrate, +surmise , +remark, +theorize, +clarify, +study, +disavow, +keep back, +recollect, +display, +admit, +credit, +belie, +entertain, +verbalise, +dismiss, +argue, +think, +recite, +invalidate, +abjure, +speak up, +feel, +relate, +renounce, +articulate, +assess, +instruct, +guess , +esteem, +trust, +teach, +speak, +ventilate, +guess, +edify, +acquaint, +connote, +vocalize, +question, +mediate, +submit, +mark, +indicate, +iterate , +whisper, +familiarize, +tell, +garble, +offer, +share, +expose, +regard, +refuse, +muse, +clue, +assert, +observe, +differentiate, +argue against, +recount, +believe, +count, +reflect on, +affirm, +recall, +anticipate, +spill, +controvert, +air, +warn, +record, +suppose, +espouse, +voice, +declare, +announce, +exhibit, +claim, +gather, +recognize, +describe, +influence, +predicate, +denote, +say, +deem, +embrace, +contest, +sense, +phrase, +allege, +publicise, +surmise, +ponder, +discriminate, +refute, +agree, +divulge, +couch, +note, +discredit, +reject, +answer, +oppose, +advise, +infer, +bear in mind, +repeat, +intend, +allow, +mispronounce, +reckon, +familiarise, +vocalise, +make known, +reflect, +concede, +purpose, +recognise, +recount , +disown, +broadcast, +deny, +let slip, +renounce , +remember, +rationalize, +assume, +bid, +register, +make out, +withhold, +inform, +command, +unburden , +publicize, +recant, +order, +talk, +know, +promote, +advertise, +swear, +emphasize, +underline, +testify, +cite, +message, +ask +] \ No newline at end of file diff --git a/src/main/resources/cue_phrases.conf b/src/main/resources/cue_phrases.conf new file mode 100644 index 0000000..b0201ac --- /dev/null +++ b/src/main/resources/cue_phrases.conf @@ -0,0 +1,137 @@ +cue_phrases { + default_phrases { + matching = contained + phrases { + // CONTRAST + "although" = CONTRAST + "but" = CONTRAST + "but now" = CONTRAST + "despite" = CONTRAST + "even though" = CONTRAST + "even when" = CONTRAST + "except when" = CONTRAST + "however" = CONTRAST + "instead" = CONTRAST + "rather" = CONTRAST + "still" = CONTRAST + "though" = CONTRAST + "thus" = CONTRAST + "until recently" = CONTRAST + "while" = CONTRAST + "yet" = CONTRAST + + // LIST + "and" = LIST + "in addition" = LIST + "in addition to" = LIST + "moreover" = LIST + + // DISJUNCTION + "or" = DISJUNCTION + + // CAUSE +// "largely because" = CAUSE_C + "because" = CAUSE_C // changed from EXPLANATION TO CAUSE + "since" = CAUSE_C // changed from TEMPORAL_AFTER TO CAUSE + + // RESULT + "as a result" = RESULT_C + "as a result of" = RESULT_C + + // TEMPORAL_AFTER + "after" = TEMPORAL_AFTER_C + "and after" = TEMPORAL_AFTER_C + "next" = TEMPORAL_AFTER_C + "then" = TEMPORAL_AFTER_C + + // TEMPORAL_BEFORE + "before" = TEMPORAL_BEFORE_C + "previously" = TEMPORAL_BEFORE_C // changed from BACKGROUND TO TEMPORAL_BEFORE + + // BACKGROUND + "as" = BACKGROUND + "now" = BACKGROUND + "once" = BACKGROUND + "when" = BACKGROUND + "with" = BACKGROUND + "without" = BACKGROUND + + // CONDITION + "if" = CONDITION + "in case" = CONDITION + "unless" = CONDITION + "until" = CONDITION + + // ELABORATION + "more provocatively" = ELABORATION + "even before" = ELABORATION + "for example" = ELABORATION + "further" = ELABORATION + "recently" = ELABORATION + "since(\\W(.*?\\W)?)now" = ELABORATION + "so" = ELABORATION + "so far" = ELABORATION + "where" = ELABORATION + "whereby" = ELABORATION + "whether" = ELABORATION + +// // EXPLANATION +// "simply because" = EXPLANATION +// "because of" = EXPLANATION +// "indeed" = EXPLANATION +// "so(\\W(.*?\\W)?)that" = EXPLANATION + } + } + + subordinating_phrases { + matching = contained + phrases = ${cue_phrases.default_phrases.phrases} + phrases { + // CAUSE +// "largely because" = CAUSE + "because" = CAUSE // changed from EXPLANATION TO CAUSE + "since" = CAUSE // changed from TEMPORAL_AFTER TO CAUSE + + // RESULT + "as a result" = RESULT + "as a result of" = RESULT + + // TEMPORAL_AFTER + "after" = TEMPORAL_BEFORE + "and after" = TEMPORAL_BEFORE + "next" = TEMPORAL_AFTER + "then" = TEMPORAL_AFTER + + // TEMPORAL_BEFORE + "before" = TEMPORAL_AFTER + "previously" = TEMPORAL_AFTER // changed from BACKGROUND TO TEMPORAL_BEFORE + } + } + + coordinating_phrases { + matching = contained + phrases = ${cue_phrases.default_phrases.phrases} + } + + adverbial_phrases { + matching = exact + phrases = ${cue_phrases.default_phrases.phrases} + phrases { + // CAUSE +// "largely because(\\W(.*?\\W)?)(this|that)" = CAUSE_C + "because(\\W(.*?\\W)?)(this|that)" = CAUSE_C // changed from EXPLANATION TO CAUSE + + // RESULT + "as a result(\\W(.*?\\W)?)(this|that)" = RESULT_C + "as a result of(\\W(.*?\\W)?)(this|that)" = RESULT_C + + // TEMPORAL_AFTER + "after(\\W(.*?\\W)?)(this|that)" = TEMPORAL_AFTER_C + "and after(\\W(.*?\\W)?)(this|that)" = TEMPORAL_AFTER_C + + // TEMPORAL_BEFORE + "before(\\W(.*?\\W)?)(this|that)" = TEMPORAL_BEFORE_C + "previously(\\W(.*?\\W)?)(this|that)" = TEMPORAL_BEFORE_C // changed from BACKGROUND TO TEMPORAL_BEFORE + } + } +} \ No newline at end of file diff --git a/src/main/resources/logback.xml b/src/main/resources/logback.xml new file mode 100644 index 0000000..a223dcf --- /dev/null +++ b/src/main/resources/logback.xml @@ -0,0 +1,51 @@ + + + + + + + + + + + %msg%n%n + + + + + ${LOG_DIR}/out.log + false + + + %msg%n%n + + + + + + + + + + + \ No newline at end of file diff --git a/src/main/resources/reference.conf b/src/main/resources/reference.conf new file mode 100644 index 0000000..7f717d7 --- /dev/null +++ b/src/main/resources/reference.conf @@ -0,0 +1,75 @@ +include "attribution_verbs" +include "cue_phrases" + +discourse-simplification { + rules = [ + org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules.ReferenceInitialConjunctionExtractor, + org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules.ReferenceInitialAdverbialExtractor, + org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules.ReferenceMedialAdverbialExtractor, + org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules.ReferenceFinalAdverbialExtractor, + org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules.CoordinationExtractor, + + + + org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules.NonRestrictiveRelativeClauseWhomExtractor, + org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules.NonRestrictiveRelativeClauseWhoWhichExtractor, + org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules.NonRestrictiveRelativeClauseWhereExtractor, + org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules.NonRestrictiveRelativeClausePrepWhichWhoExtractor, + org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules.NonRestrictiveRelativeClauseWhoseExtractor, + + org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules.RestrictiveAppositionExtractor, + //org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules.NonRestrictiveAppositionExtractorEntityFirst, + org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules.NonRestrictiveAppositionExtractor, + //org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules.NonRestrictiveAppositionExtractorFinal, + //org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules.NonRestrictiveAppositionExtractorEntitySecondFinal, + + org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules.PurposePreExtractor, + org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules.SubordinationPrePurposeExtractor, + org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules.SharedNPPreParticipalExtractor, + org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules.SubordinationPreExtractor, + + org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules.SharedNPPostCoordinationExtractor, + org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules.SharedNPPostParticipalExtractor, + org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules.SubordinationPostPurposeExtractor, + org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules.PurposePostExtractor, + //org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules.SubordinationPostExtractor2, + org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules.QuotedAttributionPostExtractor, + org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules.SubordinationPostAttributionExtractor2, + org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules.SubordinationPostAttributionExtractor, + org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules.SubordinationPostExtractor, + org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules.QuotedAttributionPreExtractor, + org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules.PreAttributionExtractor, + + org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules.ParticipialMiddleExtractor, + + org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules.RestrictiveRelativeClauseWhoWhichExtractor, + org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules.RestrictiveRelativeClauseWhoseExtractor, + org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules.RestrictiveRelativeClauseWithoutRelativePronounExtractor, + org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules.RestrictiveRelativeClauseWhomExtractor, + + org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules.PrepositionalAttachedtoVPExtractor, + + org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules.RestrictiveParticipialExtractor, + + org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules.AdjectivalAdverbialMiddleFinalExtractor, + org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules.AdjectivalAdverbialInitialExtractor, + //org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules.AdjectivalAdverbialFinalExtractor, + + org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules.LeadNPExtractor, + + org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules.PrepositionalInitialExtractor, + org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules.PrepositionalMiddleFinalExtractor, + //org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules.PrepositionalFinalExtractor, + + // should be applied last (because they dont allow further splitting) + org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules.ListNP.PreListNPExtractor, + org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules.ListNP.PostListNPExtractor + ] + ignored-relations = [ + UNKNOWN_COORDINATION, + ] + attribution_verbs = ${attribution_verbs} + cue_phrases = ${cue_phrases} + with-sentence-simplification = false + remove-brackets = false +} diff --git a/src/test/java/org/lambda3/text/simplification/discourse/processing/DiscourseSimplifierTest.java b/src/test/java/org/lambda3/text/simplification/discourse/processing/DiscourseSimplifierTest.java new file mode 100644 index 0000000..c49fcb9 --- /dev/null +++ b/src/test/java/org/lambda3/text/simplification/discourse/processing/DiscourseSimplifierTest.java @@ -0,0 +1,74 @@ +/* + * ==========================License-Start============================= + * DiscourseSimplification : DiscourseSimplifierTest + * + * Copyright © 2017 Lambda³ + * + * GNU General Public License 3 + * This program is free software: you can redistribute it and/or modify + * it under the terms of the GNU General Public License as published by + * the Free Software Foundation, either version 3 of the License, or + * (at your option) any later version. + * + * This program is distributed in the hope that it will be useful, + * but WITHOUT ANY WARRANTY; without even the implied warranty of + * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + * GNU General Public License for more details. + * + * You should have received a copy of the GNU General Public License + * along with this program. If not, see http://www.gnu.org/licenses/. + * ==========================License-End============================== + */ + +package org.lambda3.text.simplification.discourse.processing; + +import org.junit.jupiter.api.Assertions; +import org.junit.jupiter.api.Test; +import org.lambda3.text.simplification.discourse.model.OutSentence; +import org.lambda3.text.simplification.discourse.model.SimplificationContent; +import org.slf4j.LoggerFactory; + +import java.io.File; +import java.io.IOException; + +/** + * + */ +class DiscourseSimplifierTest { + private org.slf4j.Logger log = LoggerFactory.getLogger(this.getClass()); + private DiscourseSimplifier simplifier = new DiscourseSimplifier(); + + @Test + void processSingleSentence() { + String text = "Peter went to Paris because he likes the city."; + SimplificationContent c = simplifier.doDiscourseSimplification(text, ProcessingType.WHOLE); + + Assertions.assertEquals(1, c.getSentences().size()); + OutSentence sent = c.getSentences().get(0); + + Assertions.assertEquals(2, sent.getElements().size()); + } + + @Test + void serializationTest() throws IOException { + String text = "After graduating from Columbia University in 1983, Barack Obama worked as a community organizer in Chicago."; + SimplificationContent c = simplifier.doDiscourseSimplification(text, ProcessingType.WHOLE); + + final String filename = "tmp-w8weg3q493ewqieh.json"; + + log.info("SAVE TO FILE..."); + c.serializeToJSON(new File(filename)); + + log.info("LOAD FROM FILE..."); + SimplificationContent loaded = SimplificationContent.deserializeFromJSON(new File(filename), SimplificationContent.class); + + log.info(loaded.prettyPrintJSON()); + log.info("---------------------------------"); + log.info(loaded.defaultFormat(false)); + + log.info("DELETE FILE..."); + File file = new File(filename); + file.delete(); + } + +} \ No newline at end of file diff --git a/src/test/java/org/lambda3/text/simplification/discourse/processing/SentencePreprocessorTest.java b/src/test/java/org/lambda3/text/simplification/discourse/processing/SentencePreprocessorTest.java new file mode 100644 index 0000000..7b93229 --- /dev/null +++ b/src/test/java/org/lambda3/text/simplification/discourse/processing/SentencePreprocessorTest.java @@ -0,0 +1,47 @@ +/* + * ==========================License-Start============================= + * DiscourseSimplification : SentencePreprocessorTest + * + * Copyright © 2018 Lambda³ + * + * GNU General Public License 3 + * This program is free software: you can redistribute it and/or modify + * it under the terms of the GNU General Public License as published by + * the Free Software Foundation, either version 3 of the License, or + * (at your option) any later version. + * + * This program is distributed in the hope that it will be useful, + * but WITHOUT ANY WARRANTY; without even the implied warranty of + * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + * GNU General Public License for more details. + * + * You should have received a copy of the GNU General Public License + * along with this program. If not, see http://www.gnu.org/licenses/. + * ==========================License-End============================== + */ + +package org.lambda3.text.simplification.discourse.processing; + +import com.typesafe.config.Config; +import com.typesafe.config.ConfigFactory; +import org.junit.jupiter.api.Assertions; +import org.junit.jupiter.api.Test; + +public class SentencePreprocessorTest { + private final Config config = ConfigFactory.load().getConfig("discourse-simplification"); + private final SentencePreprocessor preprocessor = new SentencePreprocessor(config); + + @Test + void preprocessSentence() { + preprocessor.setRemoveBrackets(true); + + String sentence = "This is a test (in brackets) and [the last (one)]."; + String sentence2 = "This is -LRB- a second test -RRB-."; + + String psentence = preprocessor.preprocessSentence(sentence); + Assertions.assertEquals("This is a test and .", psentence); + + String psentence2 = preprocessor.preprocessSentence(sentence2); + Assertions.assertEquals("This is .", psentence2); + } +} diff --git a/src/test/java/org/lambda3/text/simplification/discourse/utils/words/WordUtilsTest.java b/src/test/java/org/lambda3/text/simplification/discourse/utils/words/WordUtilsTest.java new file mode 100644 index 0000000..dc929f8 --- /dev/null +++ b/src/test/java/org/lambda3/text/simplification/discourse/utils/words/WordUtilsTest.java @@ -0,0 +1,57 @@ +/* + * ==========================License-Start============================= + * DiscourseSimplification : WordUtilsTest + * + * Copyright © 2017 Lambda³ + * + * GNU General Public License 3 + * This program is free software: you can redistribute it and/or modify + * it under the terms of the GNU General Public License as published by + * the Free Software Foundation, either version 3 of the License, or + * (at your option) any later version. + * + * This program is distributed in the hope that it will be useful, + * but WITHOUT ANY WARRANTY; without even the implied warranty of + * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + * GNU General Public License for more details. + * + * You should have received a copy of the GNU General Public License + * along with this program. If not, see http://www.gnu.org/licenses/. + * ==========================License-End============================== + */ + +package org.lambda3.text.simplification.discourse.utils.words; + +import edu.stanford.nlp.ling.Word; +import org.junit.jupiter.api.Assertions; +import org.junit.jupiter.api.Test; +import org.lambda3.text.simplification.discourse.utils.words.WordsUtils; + +import java.util.Arrays; +import java.util.List; + +/** + * + */ +class WordUtilsTest { + + @Test + void wordsToProperSentence() throws Exception { + List words = Arrays.asList( + new Word("."), + new Word("."), + new Word("hello"), + new Word(","), + new Word(","), + new Word("this"), + new Word("is"), + new Word("a"), + new Word("test"), + new Word("."), + new Word(".") + ); + + String sentence = WordsUtils.wordsToProperSentenceString(words); + Assertions.assertEquals("Hello , this is a test .", sentence); + } +} \ No newline at end of file From 46fb5c1bee77bff28ce01fb3ce0b0a49ab0c379f Mon Sep 17 00:00:00 2001 From: Mischn Date: Thu, 29 Nov 2018 12:30:06 +0100 Subject: [PATCH 2/2] 8.2.0: Merged PR with new Sentence-Simplification patterns, removed SentenceSimplification dependencies. --- .travis.yml | 2 +- DiscourseSimplification.iml | 8 +- README.md | 15 +- install-SentenceSimplification.sh | 7 - log/out.log | 17618 ++-------------- pom.xml | 15 +- .../text/simplification/discourse/App.java | 1 - .../processing/DiscourseSimplifier.java | 25 - .../runner/discourse_tree/Relation.java | 4 - .../SentenceSimplifier.java | 142 - .../classification/ClassificationResult.java | 53 - .../classification/ContextClassifier.java | 32 - .../classification/ExtContextClassifier.java | 166 - .../SimpleContextClassifier.java | 163 - .../discourse/utils/words/WordsUtils.java | 1 - src/main/resources/reference.conf | 38 +- 16 files changed, 2029 insertions(+), 16261 deletions(-) delete mode 100755 install-SentenceSimplification.sh delete mode 100644 src/main/java/org/lambda3/text/simplification/discourse/runner/sentence_simplification/SentenceSimplifier.java delete mode 100644 src/main/java/org/lambda3/text/simplification/discourse/runner/sentence_simplification/classification/ClassificationResult.java delete mode 100644 src/main/java/org/lambda3/text/simplification/discourse/runner/sentence_simplification/classification/ContextClassifier.java delete mode 100644 src/main/java/org/lambda3/text/simplification/discourse/runner/sentence_simplification/classification/ExtContextClassifier.java delete mode 100644 src/main/java/org/lambda3/text/simplification/discourse/runner/sentence_simplification/classification/SimpleContextClassifier.java diff --git a/.travis.yml b/.travis.yml index 8246aac..b6f39d6 100644 --- a/.travis.yml +++ b/.travis.yml @@ -5,7 +5,7 @@ cache: directories: - "$HOME/.m2" before_install: - - "./install-SentenceSimplification.sh" + notifications: slack: on_success: always diff --git a/DiscourseSimplification.iml b/DiscourseSimplification.iml index 6df30cf..756ca01 100644 --- a/DiscourseSimplification.iml +++ b/DiscourseSimplification.iml @@ -12,7 +12,11 @@ - + + + + + @@ -33,9 +37,9 @@ + - diff --git a/README.md b/README.md index bea434b..63140c5 100644 --- a/README.md +++ b/README.md @@ -3,21 +3,12 @@ # Discourse Simplification A project for simplifying sentences wrt. discourse/rhetorical structures. -This works as a wrapper for the [SentenceSimplification](https://github.com/Lambda-3/SentenceSimplification) project. -## Dependencies +This is the core component of the [Graphene](https://github.com/Lambda-3/Graphene) project. -### SentenceSimplification +## Setup -Clone and install locally - - git clone --branch v5.0.0 https://github.com/Lambda-3/SentenceSimplification.git - cd SentenceSimplification - mvn install - -## Building and Running - - mvn package + mvn clean install -DskipTests ### Run the program Create a new text file with the input diff --git a/install-SentenceSimplification.sh b/install-SentenceSimplification.sh deleted file mode 100755 index 7de0be1..0000000 --- a/install-SentenceSimplification.sh +++ /dev/null @@ -1,7 +0,0 @@ -#!/bin/sh -VERSION=5.0.0 - -set -ex -wget https://github.com/Lambda-3/SentenceSimplification/archive/v$VERSION.tar.gz -tar xfa v$VERSION.tar.gz -cd SentenceSimplification-$VERSION && mvn install -B -DskipTest diff --git a/log/out.log b/log/out.log index df51130..54a1862 100644 --- a/log/out.log +++ b/log/out.log @@ -533,17667 +533,4053 @@ DiscourseSimplifier initialized "org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules.PrepositionalMiddleFinalExtractor", "org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules.ListNP.PreListNPExtractor", "org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules.ListNP.PostListNPExtractor" - ], - "with-sentence-simplification" : false + ] } -# Processing sentence 1/527 # +# Processing sentence 1/554 # -'Last night, he drove home.' +'Aidsham Hall , which was finished in 1931 , is located in Sri Lanka and has an architectural style known as Tudor and Jacabian .' ### Step 1) CREATE SENTENCE DISCOURSE TREE ### -Loading parser from serialized file edu/stanford/nlp/models/lexparser/englishPCFG.ser.gz ... done [0,9 sec]. +Loading parser from serialized file edu/stanford/nlp/models/lexparser/englishPCFG.ser.gz ... done [0.3 sec]. -Loading classifier from edu/stanford/nlp/models/ner/english.all.3class.distsim.crf.ser.gz ... done [2,7 sec]. +Loading classifier from edu/stanford/nlp/models/ner/english.all.3class.distsim.crf.ser.gz ... done [0.7 sec]. -Loading POS tagger from edu/stanford/nlp/models/pos-tagger/english-left3words/english-left3words-distsim.tagger ... done [0,9 sec]. +Loading POS tagger from edu/stanford/nlp/models/pos-tagger/english-left3words/english-left3words-distsim.tagger ... done [1.1 sec]. CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> 'Last night , he drove home .' +└───n───> SUB/DESCRIBING_DEFINITION ('which', NonRestrictiveRelativeClauseWhoWhichExtractor) + ├───n───> CO/LIST ('and', SharedNPPostCoordinationExtractor) + | ├────────n────────> 'Aidsham Hall is located in Sri Lanka .' + | └───n───> SUB/IDENTIFYING_DEFINITION ('', RestrictiveParticipialExtractor) + | ├───n───> 'Aidsham Hall has an architectural style .' + | └───s───> 'An architectural style was known as Tudor and Jacabian .' + └─────────────s─────────────> 'Aidsham Hall was finished in 1931 .' ### STEP 2) DO DISCOURSE EXTRACTION ### -# Last night, he drove home. +# Aidsham Hall , which was finished in 1931 , is located in Sri Lanka and has an architectural style known as Tudor and Jacabian . -e53a7f7351814b1fb0660fefe192eca5 0 Last night , he drove home . +d7dc1ae62c0f438e8b541753383e73d8 0 Aidsham Hall is located in Sri Lanka . + L:LIST 6276ec6536f94a01af12417fcac5f405 + L:DESCRIBING_DEFINITION 7a86c4a0dfa94d70a958dee393719e2d +6276ec6536f94a01af12417fcac5f405 0 Aidsham Hall has an architectural style . + L:IDENTIFYING_DEFINITION a0bdc5c4dc18497e8f06cc9372f86ac1 + L:LIST d7dc1ae62c0f438e8b541753383e73d8 + L:DESCRIBING_DEFINITION 7a86c4a0dfa94d70a958dee393719e2d -### STEP 3) DO SENTENCE SIMPLIFICATION ### +a0bdc5c4dc18497e8f06cc9372f86ac1 1 An architectural style was known as Tudor and Jacabian . -DEACTIVATED +7a86c4a0dfa94d70a958dee393719e2d 1 Aidsham Hall was finished in 1931 . -# Processing sentence 2/527 # -'Barack Hussein Obama II (/bəˈrɑːk huːˈseɪn oʊˈbɑːmə/ (About this sound listen);' +# Processing sentence 2/554 # + +'The Polish Academy of Sciences , headquartered in Warsaw , Poland , publishes Acta Palaeontologica Polonica .' ### Step 1) CREATE SENTENCE DISCOURSE TREE ### CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> 'Barack Hussein Obama II -LRB- / bəˈrɑːk huːˈseɪn oʊˈbɑːmə / -LRB- About this sound listen -RRB- ;' +└───n───> SUB/UNKNOWN_SUBORDINATION ('', ParticipialMiddleExtractor) + ├───n───> 'The Polish Academy of Sciences publishes Acta Palaeontologica Polonica .' + └───s───> 'The Polish Academy of Sciences is headquartered in Warsaw , Poland .' ### STEP 2) DO DISCOURSE EXTRACTION ### -# Barack Hussein Obama II (/bəˈrɑːk huːˈseɪn oʊˈbɑːmə/ (About this sound listen); +# The Polish Academy of Sciences , headquartered in Warsaw , Poland , publishes Acta Palaeontologica Polonica . -087c0b85a6544895bff710adbc9f83e4 0 Barack Hussein Obama II -LRB- / bəˈrɑːk huːˈseɪn oʊˈbɑːmə / -LRB- About this sound listen -RRB- ; +bc1e3bbabfdd4b94a7b75cb1a310b9c5 0 The Polish Academy of Sciences publishes Acta Palaeontologica Polonica . + L:UNKNOWN_SUBORDINATION d2e4f30e880747dfb3fab9bf15242787 +d2e4f30e880747dfb3fab9bf15242787 1 The Polish Academy of Sciences is headquartered in Warsaw , Poland . -### STEP 3) DO SENTENCE SIMPLIFICATION ### -DEACTIVATED +# Processing sentence 3/554 # -# Processing sentence 3/527 # - -'born August 4, 1961) is an American politician who served as the 44th President of the United States from January 20, 2009, to January 20, 2017.' +'Adisham Hall is located in Haputalethe , Sri Lanka , where Sri Jayawardenepura Kotte is the capital and the Tamil language is spoken .' ### Step 1) CREATE SENTENCE DISCOURSE TREE ### CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> CO/UNKNOWN_COORDINATION ('', SharedNPPreParticipalExtractor) - ├──────────────────n──────────────────> '1961 was born August 4 .' - └───n───> SUB/IDENTIFYING_DEFINITION ('who', RestrictiveRelativeClauseWhoWhichExtractor) - ├─────────────n─────────────> '1961 -RRB- is an American politician .' - └───s───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) - ├────────s────────> 'This was from January 20 , 2009 .' - └───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) - ├───s───> 'This was to January 20 , 2017 .' - └───n───> 'An American politician served as the 44th President of the United States .' +└───n───> CO/LIST ('and', CoordinationExtractor) + ├───n───> SUB/SPATIAL (NULL, NonRestrictiveRelativeClauseWhereExtractor) + | ├───n───> SUB/ELABORATION (NULL, NonRestrictiveAppositionExtractor) + | | ├───s───> 'Haputalethe was Sri Lanka .' + | | └───n───> 'Adisham Hall is located in Haputalethe .' + | └────────s────────> 'Sri Jayawardenepura Kotte is the capital .' + └─────────────n─────────────> 'The Tamil language is spoken .' ### STEP 2) DO DISCOURSE EXTRACTION ### -# born August 4, 1961) is an American politician who served as the 44th President of the United States from January 20, 2009, to January 20, 2017. +# Adisham Hall is located in Haputalethe , Sri Lanka , where Sri Jayawardenepura Kotte is the capital and the Tamil language is spoken . -0d72bbfd933d4175a802bc0d07b3d4fa 0 1961 was born August 4 . +65cadf39d8a24fe9bdf3c76e5597e0f7 0 Adisham Hall is located in Haputalethe . + L:ELABORATION 2fcdbab0e4324a828ce5d04a05901045 + L:SPATIAL e2d7105b93024805bd2af2388ef988d1 + L:LIST 58d0623bb8d24886b3667c3c8869ede7 -758db1e013fc44df9da28ea328dbfce6 0 1961 -RRB- is an American politician . - L:IDENTIFYING_DEFINITION 14382154f90b4587bd6431861f61215c +2fcdbab0e4324a828ce5d04a05901045 1 Haputalethe was Sri Lanka . -14382154f90b4587bd6431861f61215c 1 An American politician served as the 44th President of the United States . - S:TEMPORAL This was to January 20 , 2017 . - S:TEMPORAL This was from January 20 , 2009 . +e2d7105b93024805bd2af2388ef988d1 1 Sri Jayawardenepura Kotte is the capital . +58d0623bb8d24886b3667c3c8869ede7 0 The Tamil language is spoken . + L:LIST 65cadf39d8a24fe9bdf3c76e5597e0f7 -### STEP 3) DO SENTENCE SIMPLIFICATION ### -DEACTIVATED +# Processing sentence 4/554 # -# Processing sentence 4/527 # - -'A member of the Democratic Party, he was the first African American to assume the presidency and previously served as a United States Senator from Illinois (2005–2008).' +'The Alan B. Millar Hall was completed on 1st June 2009 and currently hosts the US Mason School of Business .' ### Step 1) CREATE SENTENCE DISCOURSE TREE ### -Loading POS tagger from edu/stanford/nlp/models/pos-tagger/english-left3words/english-left3words-distsim.tagger ... done [2,0 sec]. - CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> CO/TEMPORAL_BEFORE_C ('and previously', SharedNPPostCoordinationExtractor) - ├───n───> SUB/IDENTIFYING_DEFINITION ('', RestrictiveRelativeClauseWithoutRelativePronounExtractor) - | ├───n───> 'A member of the Democratic Party , he was the first African American .' - | └───s───> 'To assume the presidency the first African American .' - └───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) - ├───s───> 'This was from Illinois .' - └───n───> 'A member of the Democratic Party , he served as a United States Senator -LRB- 2005 -- 2008 -RRB- .' +└───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) + ├─────────────s─────────────> 'Mason School of Business was the US .' + └───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) + ├────────s────────> 'Mason School of Business was hosts .' + └───n───> CO/LIST (NULL, PostListNPExtractor) + ├───n───> 'The Alan B. Millar Hall was completed on 1st June 2009 .' + └───n───> 'The Alan B. Millar Hall was completed on currently Mason School of Business .' ### STEP 2) DO DISCOURSE EXTRACTION ### -# A member of the Democratic Party, he was the first African American to assume the presidency and previously served as a United States Senator from Illinois (2005–2008). +# The Alan B. Millar Hall was completed on 1st June 2009 and currently hosts the US Mason School of Business . -d2d27caf39df4c969e372a429efec061 0 A member of the Democratic Party , he was the first African American . - L:IDENTIFYING_DEFINITION 0f4add98711742dfb39c051f0d324ddf - L:TEMPORAL_BEFORE_C 8c477deecc2c421ca1c284db82d49cff +cb03ecb5c2274cf99dc07ed9d934e102 0 The Alan B. Millar Hall was completed on 1st June 2009 . + L:LIST dec09069fcbd4489b6bd52d1275fa839 + L:ELABORATION 602388f387f8431e86ed194b10198523 + L:ELABORATION b4fe6579d2804a31ad30773ff613f644 -0f4add98711742dfb39c051f0d324ddf 1 To assume the presidency the first African American . +dec09069fcbd4489b6bd52d1275fa839 0 The Alan B. Millar Hall was completed on currently Mason School of Business . + L:LIST cb03ecb5c2274cf99dc07ed9d934e102 + L:ELABORATION 602388f387f8431e86ed194b10198523 + L:ELABORATION b4fe6579d2804a31ad30773ff613f644 -8c477deecc2c421ca1c284db82d49cff 0 A member of the Democratic Party , he served as a United States Senator -LRB- 2005 -- 2008 -RRB- . - S:SPATIAL This was from Illinois . - L:TEMPORAL_AFTER_C d2d27caf39df4c969e372a429efec061 +602388f387f8431e86ed194b10198523 1 Mason School of Business was hosts . +b4fe6579d2804a31ad30773ff613f644 1 Mason School of Business was the US . -### STEP 3) DO SENTENCE SIMPLIFICATION ### -DEACTIVATED +# Processing sentence 5/554 # -# Processing sentence 5/527 # - -'Obama was born in 1961 in Honolulu, Hawaii, two years after the territory was admitted to the Union as the 50th state.' +'1634 : The Bavarian Crisis is written by Virginia DeMarce and Eric Flint and was preceded by Grantville Gazette III .' ### Step 1) CREATE SENTENCE DISCOURSE TREE ### CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/TEMPORAL_BEFORE ('two years after', SubordinationPostExtractor) - ├───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) - | ├───s───> 'This was in Honolulu , Hawaii .' - | └───n───> 'Obama was born in 1961 .' - └───s───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - ├───s───> 'This was as the 50th state .' - └───n───> 'The territory was admitted to the Union .' +└───n───> '1634 : The Bavarian Crisis is written by Virginia DeMarce and Eric Flint and was preceded by Grantville Gazette III .' ### STEP 2) DO DISCOURSE EXTRACTION ### -# Obama was born in 1961 in Honolulu, Hawaii, two years after the territory was admitted to the Union as the 50th state. - -84295a190e4a4ff5a3966aee32f153df 0 Obama was born in 1961 . - S:SPATIAL This was in Honolulu , Hawaii . - L:TEMPORAL_BEFORE 6e869e7ff5e44f47ac4a210919abdfe4 +# 1634 : The Bavarian Crisis is written by Virginia DeMarce and Eric Flint and was preceded by Grantville Gazette III . -6e869e7ff5e44f47ac4a210919abdfe4 1 The territory was admitted to the Union . - S:UNKNOWN_SUBORDINATION This was as the 50th state . +7f6803590b7f47b583412d353a6c24b6 0 1634 : The Bavarian Crisis is written by Virginia DeMarce and Eric Flint and was preceded by Grantville Gazette III . -### STEP 3) DO SENTENCE SIMPLIFICATION ### +# Processing sentence 6/554 # -DEACTIVATED - -# Processing sentence 6/527 # - -'Raised largely in Hawaii, he also spent one year of his childhood in the State of Washington and four years in Indonesia.' +'The AIDS journal is published by Lippincott , Williams & Wilkins in the United Kingdom , where David Cameron is the leader and the capital city is London .' ### Step 1) CREATE SENTENCE DISCOURSE TREE ### CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> CO/UNKNOWN_COORDINATION ('', SharedNPPreParticipalExtractor) - ├─────────────n─────────────> 'He was raised largely in Hawaii .' - └───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) - ├───s───> CO/LIST (NULL, PostListNPExtractor) - | ├───n───> 'This was in the State of Washington .' - | └───n───> 'This was in four years in Indonesia .' - └────────n────────> 'He also spent one year of his childhood .' +└───n───> CO/LIST ('and', CoordinationExtractor) + ├───n───> SUB/SPATIAL (NULL, NonRestrictiveRelativeClauseWhereExtractor) + | ├───n───> 'The AIDS journal is published by Lippincott , Williams & Wilkins in the United Kingdom .' + | └───s───> 'David Cameron is the leader .' + └────────n────────> 'The capital city is London .' ### STEP 2) DO DISCOURSE EXTRACTION ### -# Raised largely in Hawaii, he also spent one year of his childhood in the State of Washington and four years in Indonesia. - -812510f68af44aaa96708caa73e3ec87 0 He was raised largely in Hawaii . - -d8481580dcc84cd7aec587badf3ab5a2 0 He also spent one year of his childhood . - L:SPATIAL 84f2c2142acc4e60b9a2ce32b4916b2b - L:SPATIAL 539895f3e61f4aeb8b6a15376d2a7a93 +# The AIDS journal is published by Lippincott , Williams & Wilkins in the United Kingdom , where David Cameron is the leader and the capital city is London . -84f2c2142acc4e60b9a2ce32b4916b2b 1 This was in the State of Washington . - L:LIST 539895f3e61f4aeb8b6a15376d2a7a93 +c4085c3f9b2b42ada677e5633e073155 0 The AIDS journal is published by Lippincott , Williams & Wilkins in the United Kingdom . + L:SPATIAL ae5c9212fe024a659b24ad14db7e5ca8 + L:LIST c673baf1ad6b4ed3856c9428a77beca3 -539895f3e61f4aeb8b6a15376d2a7a93 1 This was in four years in Indonesia . - L:LIST 84f2c2142acc4e60b9a2ce32b4916b2b +ae5c9212fe024a659b24ad14db7e5ca8 1 David Cameron is the leader . +c673baf1ad6b4ed3856c9428a77beca3 0 The capital city is London . + L:LIST c4085c3f9b2b42ada677e5633e073155 -### STEP 3) DO SENTENCE SIMPLIFICATION ### -DEACTIVATED +# Processing sentence 7/554 # -# Processing sentence 7/527 # - -'After graduating from Columbia University in 1983, he worked as a community organizer in Chicago.' +'A Severed Wasp , ISBN number 0-374-26131-8 , is currently in print .' ### Step 1) CREATE SENTENCE DISCOURSE TREE ### CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/TEMPORAL_BEFORE ('After', SharedNPPreParticipalExtractor) - ├────────s────────> 'He was graduating from Columbia University in 1983 .' - └───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) - ├───s───> 'This was in Chicago .' - └───n───> 'He worked as a community organizer .' +└───n───> SUB/ELABORATION (NULL, NonRestrictiveAppositionExtractor) + ├───s───> 'A Severed Wasp is ISBN number 0-374-26131-8 .' + └───n───> 'A Severed Wasp is currently in print .' ### STEP 2) DO DISCOURSE EXTRACTION ### -# After graduating from Columbia University in 1983, he worked as a community organizer in Chicago. - -c95eb79157e54727afaa070848188395 0 He worked as a community organizer . - S:SPATIAL This was in Chicago . - L:TEMPORAL_BEFORE c4521185457043be8224510b5935f723 +# A Severed Wasp , ISBN number 0-374-26131-8 , is currently in print . -c4521185457043be8224510b5935f723 1 He was graduating from Columbia University in 1983 . +85944adeeef8476a9c16ddc0043a2e7e 0 A Severed Wasp is currently in print . + L:ELABORATION cc3ce440089a4190a148cbb5c6a52f6b +cc3ce440089a4190a148cbb5c6a52f6b 1 A Severed Wasp is ISBN number 0-374-26131-8 . -### STEP 3) DO SENTENCE SIMPLIFICATION ### -DEACTIVATED +# Processing sentence 8/554 # -# Processing sentence 8/527 # - -'In 1988, he enrolled in Harvard Law School, where he was the first black president of the Harvard Law Review.' +'Alan Shepard was born in New Hampshire and he served as the Chief of the Astronaut Office .' ### Step 1) CREATE SENTENCE DISCOURSE TREE ### CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/SPATIAL (NULL, NonRestrictiveRelativeClauseWhereExtractor) - ├───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - | ├───s───> 'This was in 1988 .' - | └───n───> 'He enrolled in Harvard Law School .' - └────────s────────> 'He was the first black president of the Harvard Law Review .' +└───n───> CO/LIST ('and', CoordinationExtractor) + ├───n───> 'Alan Shepard was born in New Hampshire .' + └───n───> 'He served as the Chief of the Astronaut Office .' ### STEP 2) DO DISCOURSE EXTRACTION ### -# In 1988, he enrolled in Harvard Law School, where he was the first black president of the Harvard Law Review. - -e2c50cc5c1ef40619676f924c9a8adbf 0 He enrolled in Harvard Law School . - S:TEMPORAL This was in 1988 . - L:SPATIAL ae311be5a508418dadba6d6cdfefe2d5 +# Alan Shepard was born in New Hampshire and he served as the Chief of the Astronaut Office . -ae311be5a508418dadba6d6cdfefe2d5 1 He was the first black president of the Harvard Law Review . +721d83a256c0469ebd1e9b9712cdcd1c 0 Alan Shepard was born in New Hampshire . + L:LIST f35b749272e04b369492fad6d1683629 +f35b749272e04b369492fad6d1683629 0 He served as the Chief of the Astronaut Office . + L:LIST 721d83a256c0469ebd1e9b9712cdcd1c -### STEP 3) DO SENTENCE SIMPLIFICATION ### -DEACTIVATED +# Processing sentence 9/554 # -# Processing sentence 9/527 # - -'After graduating, he became a civil rights attorney and a professor, teaching constitutional law at the University of Chicago Law School from 1992 to 2004.' +'' 1634 : The Bavarian Crisis ' which was written by Eric Flint , is available in hardcover .' ### Step 1) CREATE SENTENCE DISCOURSE TREE ### CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> CO/UNKNOWN_COORDINATION (NULL, SharedNPPostParticipalExtractor) - ├───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalInitialExtractor) - | ├────────s────────> 'This was after graduating .' - | └───n───> CO/LIST (NULL, PostListNPExtractor) - | ├───n───> 'He became a civil rights attorney .' - | └───n───> 'He became a professor .' - └───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) - ├────────s────────> 'This was at the University of Chicago Law School from 1992 to 2004 .' - └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalInitialExtractor) - ├───s───> 'This was after graduating .' - └───n───> 'He was teaching constitutional law .' +└───n───> CO/UNKNOWN_COORDINATION (':', CoordinationExtractor) + ├────────n────────> '' 1634 .' + └───n───> SUB/IDENTIFYING_DEFINITION ('which', RestrictiveRelativeClauseWhoWhichExtractor) + ├───n───> 'The Bavarian Crisis ' , is available in hardcover .' + └───s───> 'The Bavarian Crisis ' was written by Eric Flint .' ### STEP 2) DO DISCOURSE EXTRACTION ### -# After graduating, he became a civil rights attorney and a professor, teaching constitutional law at the University of Chicago Law School from 1992 to 2004. - -92b33637fc0047fcb7a81b9368af66fa 0 He became a civil rights attorney . - S:UNKNOWN_SUBORDINATION This was after graduating . - L:LIST 6191915305ac4eafa42e27be242622d7 +# ' 1634 : The Bavarian Crisis ' which was written by Eric Flint , is available in hardcover . -6191915305ac4eafa42e27be242622d7 0 He became a professor . - S:UNKNOWN_SUBORDINATION This was after graduating . - L:LIST 92b33637fc0047fcb7a81b9368af66fa +d13eb820bfb84511b0815d5caaaba6cf 0 ' 1634 . -24374b265d214579a33193ce09fbe52e 0 He was teaching constitutional law . - S:UNKNOWN_SUBORDINATION This was after graduating . - S:TEMPORAL This was at the University of Chicago Law School from 1992 to 2004 . +010619c5535b47d49e3372d24a7d0cf4 0 The Bavarian Crisis ' , is available in hardcover . + L:IDENTIFYING_DEFINITION 34c0376aaf3943da9346e22f476c80da +34c0376aaf3943da9346e22f476c80da 1 The Bavarian Crisis ' was written by Eric Flint . -### STEP 3) DO SENTENCE SIMPLIFICATION ### -DEACTIVATED +# Processing sentence 10/554 # -# Processing sentence 10/527 # - -'He represented the 13th district for three terms in the Illinois Senate from 1997 to 2004, when he ran for the U.S. Senate.' +'Eric Flint is the author of 1634 : The Bavarian Crisis , which was preceded by 1634 : The Ram Rebellion .' ### Step 1) CREATE SENTENCE DISCOURSE TREE ### CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/SPATIAL (NULL, NonRestrictiveRelativeClauseWhereExtractor) - ├───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) - | ├─────────────s─────────────> 'This was for three terms in the Illinois Senate .' - | └───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) - | ├────────s────────> 'This was from 1997 .' - | └───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) - | ├───s───> 'This was to 2004 .' - | └───n───> 'He represented the 13th district .' - └──────────────────s──────────────────> 'He ran for the U.S. Senate .' +└───n───> SUB/DESCRIBING_DEFINITION ('which', NonRestrictiveRelativeClauseWhoWhichExtractor) + ├───n───> 'Eric Flint is the author of 1634 : The Bavarian Crisis .' + └───s───> 'The Bavarian Crisis was preceded by 1634 : The Ram Rebellion .' ### STEP 2) DO DISCOURSE EXTRACTION ### -# He represented the 13th district for three terms in the Illinois Senate from 1997 to 2004, when he ran for the U.S. Senate. - -920f2f6cfc9148a5bf27483b17d83b37 0 He represented the 13th district . - S:TEMPORAL This was to 2004 . - S:TEMPORAL This was from 1997 . - S:TEMPORAL This was for three terms in the Illinois Senate . - L:SPATIAL 83b4a14f1a204daa9756fc326a89779d - -83b4a14f1a204daa9756fc326a89779d 1 He ran for the U.S. Senate . +# Eric Flint is the author of 1634 : The Bavarian Crisis , which was preceded by 1634 : The Ram Rebellion . +78e1b142d6c544ccb5e4637697decc0e 0 Eric Flint is the author of 1634 : The Bavarian Crisis . + L:DESCRIBING_DEFINITION 2df5c6340bd341b6aaa5ecaa750de87c -### STEP 3) DO SENTENCE SIMPLIFICATION ### +2df5c6340bd341b6aaa5ecaa750de87c 1 The Bavarian Crisis was preceded by 1634 : The Ram Rebellion . -DEACTIVATED -# Processing sentence 11/527 # +# Processing sentence 11/554 # -'He received national attention in 2004 with his March primary win, his well-received July Democratic National Convention keynote address, and his landslide November election to the Senate.' +'AC Hotel Bella Sky Copenhagen , a tenant of Marriott International Hotel , has 23 floors and is located in Copenhagen Denmark .' ### Step 1) CREATE SENTENCE DISCOURSE TREE ### CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) - ├─────────────s─────────────> 'This was in 2004 .' - └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - ├───s───> CO/LIST (NULL, PostListNPExtractor) - | ├───n───> 'This was with his March primary win .' - | ├───n───> 'This was with his well-received July Democratic National Convention keynote address .' - | └───n───> 'This was with his landslide November election .' - └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - ├───s───> 'This was to the Senate .' - └───n───> 'He received national attention .' +└───n───> SUB/ELABORATION (NULL, NonRestrictiveAppositionExtractor) + ├───s───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) + | ├───s───> 'Copenhagen was AC Hotel Bella Sky .' + | └───n───> 'Copenhagen was a tenant of Marriott International Hotel .' + └───n───> CO/LIST ('and', SharedNPPostCoordinationExtractor) + ├───n───> 'AC Hotel Bella Sky Copenhagen has 23 floors .' + └───n───> 'AC Hotel Bella Sky Copenhagen is located in Copenhagen Denmark .' ### STEP 2) DO DISCOURSE EXTRACTION ### -# He received national attention in 2004 with his March primary win, his well-received July Democratic National Convention keynote address, and his landslide November election to the Senate. - -9b2576a206624fb887714f70ea57ed7e 0 He received national attention . - S:UNKNOWN_SUBORDINATION This was to the Senate . - S:TEMPORAL This was in 2004 . - L:UNKNOWN_SUBORDINATION d306447524d84ab4b7f0d5c55bb67eb5 - L:UNKNOWN_SUBORDINATION 49e91cdf796142598989ed7848d46577 - L:UNKNOWN_SUBORDINATION b120bd37f4844bf3a2d16f2fd876978a +# AC Hotel Bella Sky Copenhagen , a tenant of Marriott International Hotel , has 23 floors and is located in Copenhagen Denmark . -d306447524d84ab4b7f0d5c55bb67eb5 1 This was with his March primary win . - L:LIST 49e91cdf796142598989ed7848d46577 - L:LIST b120bd37f4844bf3a2d16f2fd876978a +d1a82152c9034b6c807fb0854b5be189 0 AC Hotel Bella Sky Copenhagen has 23 floors . + L:LIST 9e61e303cef441a0b332b47698bbd3ef + L:ELABORATION 908f2722ce754a2183afdaf6f8412c07 -49e91cdf796142598989ed7848d46577 1 This was with his well-received July Democratic National Convention keynote address . - L:LIST b120bd37f4844bf3a2d16f2fd876978a - L:LIST d306447524d84ab4b7f0d5c55bb67eb5 +9e61e303cef441a0b332b47698bbd3ef 0 AC Hotel Bella Sky Copenhagen is located in Copenhagen Denmark . + L:LIST d1a82152c9034b6c807fb0854b5be189 + L:ELABORATION 908f2722ce754a2183afdaf6f8412c07 -b120bd37f4844bf3a2d16f2fd876978a 1 This was with his landslide November election . - L:LIST d306447524d84ab4b7f0d5c55bb67eb5 - L:LIST 49e91cdf796142598989ed7848d46577 +908f2722ce754a2183afdaf6f8412c07 1 Copenhagen was a tenant of Marriott International Hotel . + L:ELABORATION bbf9da2bbecc47ccbcf8843c79bea8fb +bbf9da2bbecc47ccbcf8843c79bea8fb 2 Copenhagen was AC Hotel Bella Sky . -### STEP 3) DO SENTENCE SIMPLIFICATION ### -DEACTIVATED +# Processing sentence 12/554 # -# Processing sentence 12/527 # - -'In 2008, he was nominated for president a year after his campaign began and after a close primary campaign against Hillary Clinton.' +'AZ Alkmaar has has 17023 members and their ground is the AFAS Stadion .' ### Step 1) CREATE SENTENCE DISCOURSE TREE ### CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/TEMPORAL_BEFORE ('after', SubordinationPostExtractor) - ├───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - | ├───s───> 'This was in 2008 .' - | └───n───> 'He was nominated for president a year .' - └───s───> CO/LIST ('and', SharedNPPostCoordinationExtractor) - ├───n───> 'His campaign began .' - └───n───> 'His campaign after a close primary campaign against Hillary Clinton .' +└───n───> CO/LIST ('and', CoordinationExtractor) + ├───n───> 'AZ Alkmaar has has 17023 members .' + └───n───> 'Their ground is the AFAS Stadion .' ### STEP 2) DO DISCOURSE EXTRACTION ### -# In 2008, he was nominated for president a year after his campaign began and after a close primary campaign against Hillary Clinton. - -3e53d126fb0b4cff84600b9ed880f105 0 He was nominated for president a year . - S:TEMPORAL This was in 2008 . - L:TEMPORAL_BEFORE c89e563de5944f25bc0972a33e3731cb - L:TEMPORAL_BEFORE 3583d17c87bf4506a03c798237993695 - -c89e563de5944f25bc0972a33e3731cb 1 His campaign began . - L:LIST 3583d17c87bf4506a03c798237993695 - -3583d17c87bf4506a03c798237993695 1 His campaign after a close primary campaign against Hillary Clinton . - L:LIST c89e563de5944f25bc0972a33e3731cb +# AZ Alkmaar has has 17023 members and their ground is the AFAS Stadion . +9d71e78f22b94f4789d9ba28d6ed1ae2 0 AZ Alkmaar has has 17023 members . + L:LIST cd93be0fc17545309cb8beb442f69960 -### STEP 3) DO SENTENCE SIMPLIFICATION ### +cd93be0fc17545309cb8beb442f69960 0 Their ground is the AFAS Stadion . + L:LIST 9d71e78f22b94f4789d9ba28d6ed1ae2 -DEACTIVATED -# Processing sentence 13/527 # +# Processing sentence 13/554 # -'He was elected over Republican John McCain and was inaugurated on January 20, 2009.' +'The address , 11 Diagonal Street is located in South Africa and Jacob Zuma is a leader in Asian South Africans .' ### Step 1) CREATE SENTENCE DISCOURSE TREE ### CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) - ├────────s────────> 'John McCain was Republican .' - └───n───> CO/LIST ('and', SharedNPPostCoordinationExtractor) - ├───n───> 'He was elected over John McCain .' - └───n───> 'He was inaugurated on January 20 , 2009 .' +└───n───> SUB/ELABORATION (NULL, NonRestrictiveAppositionExtractor) + ├───s───> SUB/IDENTIFYING_DEFINITION ('', RestrictiveRelativeClauseWithoutRelativePronounExtractor) + | ├────────n────────> 'The address is 11 .' + | └───s───> CO/LIST (NULL, PostListNPExtractor) + | ├───n───> 'Diagonal Street is located in South Africa .' + | └───n───> 'Diagonal Street is located in Jacob Zuma 11 .' + └─────────────n─────────────> 'The address is a leader in Asian South Africans .' ### STEP 2) DO DISCOURSE EXTRACTION ### -# He was elected over Republican John McCain and was inaugurated on January 20, 2009. +# The address , 11 Diagonal Street is located in South Africa and Jacob Zuma is a leader in Asian South Africans . -25fdca63e52e4743b98def09531921d9 0 He was elected over John McCain . - L:LIST 828c78724fc843e4918f71c9a0a6c310 - L:ELABORATION a61594a1b919446fa210da9e80738d8a +9214414b66584ec096d4425bb4afdd16 0 The address is a leader in Asian South Africans . + L:ELABORATION 94cf589f1e2f4a90bbe810870e44f1fa -828c78724fc843e4918f71c9a0a6c310 0 He was inaugurated on January 20 , 2009 . - L:LIST 25fdca63e52e4743b98def09531921d9 - L:ELABORATION a61594a1b919446fa210da9e80738d8a +94cf589f1e2f4a90bbe810870e44f1fa 1 The address is 11 . + L:IDENTIFYING_DEFINITION eb882d1c37734c76a421d4f35e1c6ed1 + L:IDENTIFYING_DEFINITION 03eb2262c3fa4ed99e7948892f695ef8 -a61594a1b919446fa210da9e80738d8a 1 John McCain was Republican . +eb882d1c37734c76a421d4f35e1c6ed1 2 Diagonal Street is located in South Africa . + L:LIST 03eb2262c3fa4ed99e7948892f695ef8 +03eb2262c3fa4ed99e7948892f695ef8 2 Diagonal Street is located in Jacob Zuma 11 . + L:LIST eb882d1c37734c76a421d4f35e1c6ed1 -### STEP 3) DO SENTENCE SIMPLIFICATION ### -DEACTIVATED +# Processing sentence 14/554 # -# Processing sentence 14/527 # - -'Nine months later, he was named the 2009 Nobel Peace Prize laureate, accepting the award with the caveat that he felt there were others far more deserving of this honor than I.' +'Alexander L. Wolf is the leader of the Association for Computing Machine which is the publisher of ACM Transactions on Information Systems .' ### Step 1) CREATE SENTENCE DISCOURSE TREE ### CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/UNKNOWN_SUBORDINATION ('', ParticipialMiddleExtractor) - ├─────────────n─────────────> 'Nine months later , he was named the 2009 Nobel Peace Prize laureate .' - └───s───> SUB/UNKNOWN_SUBORDINATION ('that', SubordinationPostExtractor) - ├───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - | ├───s───> 'This was with the caveat .' - | └───n───> 'The 2009 Nobel Peace Prize laureate was accepting the award .' - └───s───> SUB/ATTRIBUTION (NULL, SubordinationPostAttributionExtractor) - ├───s───> 'This was what he felt .' - └───n───> 'There were others far more deserving of this honor than I. .' +└───n───> SUB/IDENTIFYING_DEFINITION ('which', RestrictiveRelativeClauseWhoWhichExtractor) + ├───n───> 'Alexander L. Wolf is the leader of the Association for Computing Machine .' + └───s───> 'Computing Machine is the publisher of ACM Transactions on Information Systems .' ### STEP 2) DO DISCOURSE EXTRACTION ### -# Nine months later, he was named the 2009 Nobel Peace Prize laureate, accepting the award with the caveat that he felt there were others far more deserving of this honor than I. - -9b76f52f3cb041e4aa541c5c269a592f 0 Nine months later , he was named the 2009 Nobel Peace Prize laureate . - L:UNKNOWN_SUBORDINATION 85e090a60de84de99fa3961e723834b2 +# Alexander L. Wolf is the leader of the Association for Computing Machine which is the publisher of ACM Transactions on Information Systems . -85e090a60de84de99fa3961e723834b2 1 The 2009 Nobel Peace Prize laureate was accepting the award . - S:UNKNOWN_SUBORDINATION This was with the caveat . - L:UNKNOWN_SUBORDINATION 687dd34691af4b84b8a7eaba8072e3b4 +559edd01b1824b6082f9559f45a8cede 0 Alexander L. Wolf is the leader of the Association for Computing Machine . + L:IDENTIFYING_DEFINITION 3b85e8f562874defb49c380cccc0249a -687dd34691af4b84b8a7eaba8072e3b4 2 There were others far more deserving of this honor than I. . - S:ATTRIBUTION This was what he felt . +3b85e8f562874defb49c380cccc0249a 1 Computing Machine is the publisher of ACM Transactions on Information Systems . -### STEP 3) DO SENTENCE SIMPLIFICATION ### +# Processing sentence 15/554 # -DEACTIVATED - -# Processing sentence 15/527 # - -'During his first two years in office, Obama signed many landmark bills into law.' +'Aenir , which was written by Garth Nix has the OCLC number 45644811 and the ISBN number 0-439-17684-0 .' ### Step 1) CREATE SENTENCE DISCOURSE TREE ### CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - ├────────s────────> 'This was into law .' - └───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - ├───s───> 'This was during his first two years in office .' - └───n───> 'Obama signed many landmark bills .' +└───n───> SUB/DESCRIBING_DEFINITION ('which', NonRestrictiveRelativeClauseWhoWhichExtractor) + ├───n───> CO/LIST (NULL, PostListNPExtractor) + | ├───n───> 'Aenir has the OCLC number 45644811 .' + | └───n───> 'Aenir has the ISBN number 0-439-17684-0 .' + └────────s────────> 'Aenir was written by Garth Nix .' ### STEP 2) DO DISCOURSE EXTRACTION ### -# During his first two years in office, Obama signed many landmark bills into law. +# Aenir , which was written by Garth Nix has the OCLC number 45644811 and the ISBN number 0-439-17684-0 . -6b42004e06b5434c9a3d5d05540a96a5 0 Obama signed many landmark bills . - S:TEMPORAL This was during his first two years in office . - S:UNKNOWN_SUBORDINATION This was into law . +5f5f43d5e8b34499a5d6b9bf230ee432 0 Aenir has the OCLC number 45644811 . + L:LIST 2f8148fc814e4098b1b2a610dc455576 + L:DESCRIBING_DEFINITION 838703aa65024aa2bb5127764844c8fe +2f8148fc814e4098b1b2a610dc455576 0 Aenir has the ISBN number 0-439-17684-0 . + L:LIST 5f5f43d5e8b34499a5d6b9bf230ee432 + L:DESCRIBING_DEFINITION 838703aa65024aa2bb5127764844c8fe -### STEP 3) DO SENTENCE SIMPLIFICATION ### +838703aa65024aa2bb5127764844c8fe 1 Aenir was written by Garth Nix . -DEACTIVATED -# Processing sentence 16/527 # +# Processing sentence 16/554 # -'The main reforms were the Patient Protection and Affordable Care Act (often referred to as Obamacare, shortened as the Affordable Care Act), the Dodd–Frank Wall Street Reform and Consumer Protection Act, and the Don't Ask, Don't Tell Repeal Act of 2010.' +'3Arena in Dublin part of Leinster is owned by Live National Entertainment .' ### Step 1) CREATE SENTENCE DISCOURSE TREE ### CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> 'The main reforms were the Patient Protection and Affordable Care Act -LRB- often referred to as Obamacare , shortened as the Affordable Care Act -RRB- , the Dodd -- Frank Wall Street Reform and Consumer Protection Act , and the Do n't Ask , Do n't Tell Repeal Act of 2010 .' +└───n───> '3Arena in Dublin part of Leinster is owned by Live National Entertainment .' ### STEP 2) DO DISCOURSE EXTRACTION ### -# The main reforms were the Patient Protection and Affordable Care Act (often referred to as Obamacare, shortened as the Affordable Care Act), the Dodd–Frank Wall Street Reform and Consumer Protection Act, and the Don't Ask, Don't Tell Repeal Act of 2010. +# 3Arena in Dublin part of Leinster is owned by Live National Entertainment . -2711ac02c0654431b3eb49454d7bdc06 0 The main reforms were the Patient Protection and Affordable Care Act -LRB- often referred to as Obamacare , shortened as the Affordable Care Act -RRB- , the Dodd -- Frank Wall Street Reform and Consumer Protection Act , and the Do n't Ask , Do n't Tell Repeal Act of 2010 . +4f4e6c6fc2874ca0a41a1c1f06a152b1 0 3Arena in Dublin part of Leinster is owned by Live National Entertainment . -### STEP 3) DO SENTENCE SIMPLIFICATION ### +# Processing sentence 17/554 # -DEACTIVATED - -# Processing sentence 17/527 # - -'The American Recovery and Reinvestment Act of 2009 and Tax Relief, Unemployment Insurance Reauthorization, and Job Creation Act of 2010 served as economic stimulus amidst the Great Recession' +'1634 : The Ram Rebellion was written in the US ; which is home to many Asian Americans .' ### Step 1) CREATE SENTENCE DISCOURSE TREE ### CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> CO/LIST (NULL, PreListNPExtractor) - ├───n───> 'The American Recovery and Reinvestment Act of 2009 and Tax Relief served as economic stimulus amidst the Great Recession .' - ├───n───> 'Unemployment Insurance Reauthorization served as economic stimulus amidst the Great Recession .' - └───n───> 'Job Creation Act of 2010 served as economic stimulus amidst the Great Recession .' +└───n───> '1634 : The Ram Rebellion was written in the US ; which is home to many Asian Americans .' ### STEP 2) DO DISCOURSE EXTRACTION ### -# The American Recovery and Reinvestment Act of 2009 and Tax Relief, Unemployment Insurance Reauthorization, and Job Creation Act of 2010 served as economic stimulus amidst the Great Recession - -5743bf8917cc4b8c96ae65397ffca9bb 0 The American Recovery and Reinvestment Act of 2009 and Tax Relief served as economic stimulus amidst the Great Recession . - L:LIST 708b6290f85942519dbdb6ba0938cc89 - L:LIST d2fe533c55a0447c94fb82c7deebdbd7 +# 1634 : The Ram Rebellion was written in the US ; which is home to many Asian Americans . -708b6290f85942519dbdb6ba0938cc89 0 Unemployment Insurance Reauthorization served as economic stimulus amidst the Great Recession . - L:LIST d2fe533c55a0447c94fb82c7deebdbd7 - L:LIST 5743bf8917cc4b8c96ae65397ffca9bb +58187e306cca436b87803787262e00ca 0 1634 : The Ram Rebellion was written in the US ; which is home to many Asian Americans . -d2fe533c55a0447c94fb82c7deebdbd7 0 Job Creation Act of 2010 served as economic stimulus amidst the Great Recession . - L:LIST 5743bf8917cc4b8c96ae65397ffca9bb - L:LIST 708b6290f85942519dbdb6ba0938cc89 +# Processing sentence 18/554 # -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 18/527 # - -'After a lengthy debate over the national debt limit, he signed the Budget Control and the American Taxpayer Relief Acts.' +'The Acharya Institute of Technology is located in Bangalore , India and its motto is : `` Nurturing Excellence '' .' ### Step 1) CREATE SENTENCE DISCOURSE TREE ### CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalInitialExtractor) - ├────────s────────> 'This was after a lengthy debate over the national debt limit .' - └───n───> CO/LIST (NULL, PostListNPExtractor) - ├───n───> 'He signed the Budget Control .' - └───n───> 'He signed the American Taxpayer Relief Acts .' +└───n───> CO/LIST ('and', CoordinationExtractor) + ├───n───> 'The Acharya Institute of Technology is located in Bangalore , India .' + └───n───> 'Its motto is : `` Nurturing Excellence '' .' ### STEP 2) DO DISCOURSE EXTRACTION ### -# After a lengthy debate over the national debt limit, he signed the Budget Control and the American Taxpayer Relief Acts. - -e0c8eb6761a54003a9cb0253a33dbeb8 0 He signed the Budget Control . - S:UNKNOWN_SUBORDINATION This was after a lengthy debate over the national debt limit . - L:LIST 5edb52bf52af4c169a50067d96946657 +# The Acharya Institute of Technology is located in Bangalore , India and its motto is : `` Nurturing Excellence '' . -5edb52bf52af4c169a50067d96946657 0 He signed the American Taxpayer Relief Acts . - S:UNKNOWN_SUBORDINATION This was after a lengthy debate over the national debt limit . - L:LIST e0c8eb6761a54003a9cb0253a33dbeb8 +b085af7199ad45848bd2022162d1fc8e 0 The Acharya Institute of Technology is located in Bangalore , India . + L:LIST ae796f6193194a838dfc56b2d1bc8baa +ae796f6193194a838dfc56b2d1bc8baa 0 Its motto is : `` Nurturing Excellence '' . + L:LIST b085af7199ad45848bd2022162d1fc8e -### STEP 3) DO SENTENCE SIMPLIFICATION ### -DEACTIVATED +# Processing sentence 19/554 # -# Processing sentence 19/527 # - -'In foreign policy, he increased U.S. troop levels in Afghanistan, reduced nuclear weapons with the United States–Russia New START treaty, and ended military involvement in the Iraq War.' +'The book ' A Long Long Way ' with the OCLC number 57399346 is available in hardcover and has 292 pages .' ### Step 1) CREATE SENTENCE DISCOURSE TREE ### CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> CO/UNKNOWN_COORDINATION (NULL, SharedNPPostCoordinationExtractor) - ├───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) - | ├────────s────────> 'This was in Afghanistan .' - | └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalInitialExtractor) - | ├───s───> 'This was in foreign policy .' - | └───n───> 'He increased U.S. troop levels .' - ├───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) - | ├────────s────────> 'This was with the United States .' - | └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalInitialExtractor) - | ├───s───> 'This was in foreign policy .' - | └───n───> 'He reduced nuclear weapons -- Russia New START treaty .' - └───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) - ├────────s────────> 'This was in the Iraq War .' - └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalInitialExtractor) - ├───s───> 'This was in foreign policy .' - └───n───> 'He ended military involvement .' +└───n───> CO/LIST ('and', SharedNPPostCoordinationExtractor) + ├───n───> 'The book ' A Long Long Way ' with the OCLC number 57399346 is available in hardcover .' + └───n───> 'The book ' A Long Long Way ' with the OCLC number 57399346 has 292 pages .' ### STEP 2) DO DISCOURSE EXTRACTION ### -# In foreign policy, he increased U.S. troop levels in Afghanistan, reduced nuclear weapons with the United States–Russia New START treaty, and ended military involvement in the Iraq War. - -a440e24fd3394c62bcdb2355826c8897 0 He increased U.S. troop levels . - S:UNKNOWN_SUBORDINATION This was in foreign policy . - S:SPATIAL This was in Afghanistan . - -5f5dd544afc54dd9bee455ddba83beb2 0 He reduced nuclear weapons -- Russia New START treaty . - S:UNKNOWN_SUBORDINATION This was in foreign policy . - S:SPATIAL This was with the United States . - -598fc46f864249818b2333fd20b22687 0 He ended military involvement . - S:UNKNOWN_SUBORDINATION This was in foreign policy . - S:SPATIAL This was in the Iraq War . +# The book ' A Long Long Way ' with the OCLC number 57399346 is available in hardcover and has 292 pages . +9168792e06124651a06f80679d56f000 0 The book ' A Long Long Way ' with the OCLC number 57399346 is available in hardcover . + L:LIST b3c94c354b5f411aad4c32d5de180a25 -### STEP 3) DO SENTENCE SIMPLIFICATION ### +b3c94c354b5f411aad4c32d5de180a25 0 The book ' A Long Long Way ' with the OCLC number 57399346 has 292 pages . + L:LIST 9168792e06124651a06f80679d56f000 -DEACTIVATED -# Processing sentence 20/527 # +# Processing sentence 20/554 # -'He ordered military involvement in Libya in opposition to Muammar Gaddafi; Gaddafi was killed by NATO-assisted forces, and he also ordered the military operation that resulted in the deaths of Osama bin Laden and suspected Yemeni Al-Qaeda operative Anwar al-Awlaki.' +'Akita Museum of Art is located in Akita , Japan .' ### Step 1) CREATE SENTENCE DISCOURSE TREE ### CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> CO/UNKNOWN_COORDINATION (';', CoordinationExtractor) - ├────────n────────> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) - | ├────────s────────> 'This was in Libya in opposition .' - | └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - | ├───s───> 'This was to Muammar Gaddafi .' - | └───n───> 'He ordered military involvement .' - └───n───> CO/LIST (', and', CoordinationExtractor) - ├─────────────n─────────────> 'Gaddafi was killed by NATO-assisted forces .' - └───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) - ├────────s────────> 'Anwar al-Awlaki was Yemeni Al-Qaeda operative .' - └───n───> SUB/IDENTIFYING_DEFINITION ('that', RestrictiveRelativeClauseWhoWhichExtractor) - ├───n───> 'He also ordered the military operation .' - └───s───> 'The military operation resulted in the deaths of Osama bin Laden and suspected Anwar al-Awlaki .' +└───n───> 'Akita Museum of Art is located in Akita , Japan .' ### STEP 2) DO DISCOURSE EXTRACTION ### -# He ordered military involvement in Libya in opposition to Muammar Gaddafi; Gaddafi was killed by NATO-assisted forces, and he also ordered the military operation that resulted in the deaths of Osama bin Laden and suspected Yemeni Al-Qaeda operative Anwar al-Awlaki. - -64358fc43e4d482789e74c58b70290d1 0 He ordered military involvement . - S:UNKNOWN_SUBORDINATION This was to Muammar Gaddafi . - S:SPATIAL This was in Libya in opposition . - -48ffa67644cd4d9a9eed6aa6adc6c447 0 Gaddafi was killed by NATO-assisted forces . - L:LIST 282834c72f0f432a9b55a42bcfce8adc - -282834c72f0f432a9b55a42bcfce8adc 0 He also ordered the military operation . - L:IDENTIFYING_DEFINITION a5f4d4f3bce847ae91afb2319ccaf325 - L:ELABORATION 0f983263173d4ffc9677b72991a24366 - L:LIST 48ffa67644cd4d9a9eed6aa6adc6c447 - -a5f4d4f3bce847ae91afb2319ccaf325 1 The military operation resulted in the deaths of Osama bin Laden and suspected Anwar al-Awlaki . +# Akita Museum of Art is located in Akita , Japan . -0f983263173d4ffc9677b72991a24366 1 Anwar al-Awlaki was Yemeni Al-Qaeda operative . +a4e96c39dec3494b93b872cecd79592d 0 Akita Museum of Art is located in Akita , Japan . -### STEP 3) DO SENTENCE SIMPLIFICATION ### +# Processing sentence 21/554 # -DEACTIVATED - -# Processing sentence 21/527 # - -'After winning re-election by defeating Republican opponent Mitt Romney, Obama was sworn in for a second term in 2013.' +'Amdavad ni Gufa is located in Ahmedabad , in India , the country where T S Thakur and Sumitra Mahajan are leaders .' ### Step 1) CREATE SENTENCE DISCOURSE TREE ### CO/UNKNOWN_COORDINATION (NULL, ROOT) └───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) - ├─────────────s─────────────> 'Mitt Romney was Republican opponent .' - └───n───> SUB/TEMPORAL_BEFORE ('After', SharedNPPreParticipalExtractor) - ├───s───> CO/UNKNOWN_COORDINATION (NULL, SharedNPPostParticipalExtractor) - | ├───n───> 'Obama was winning re-election .' - | └───n───> 'Obama was defeating Mitt Romney .' - └────────n────────> 'Obama was sworn in for a second term in 2013 .' + ├─────────────s─────────────> 'Gufa was Amdavad ni .' + └───n───> SUB/ELABORATION (NULL, NonRestrictiveAppositionExtractor) + ├────────s────────> 'The country where T S Thakur and Sumitra Mahajan are leaders were India .' + └───n───> SUB/SPATIAL (NULL, PrepositionalMiddleFinalExtractor) + ├───s───> 'This was in India .' + └───n───> 'Gufa is located in Ahmedabad .' ### STEP 2) DO DISCOURSE EXTRACTION ### -# After winning re-election by defeating Republican opponent Mitt Romney, Obama was sworn in for a second term in 2013. - -315170186cc24adcbb2dc93972f41ff1 0 Obama was sworn in for a second term in 2013 . - L:TEMPORAL_BEFORE 4b25f807477a405bb9d8d67836e64a11 - L:TEMPORAL_BEFORE 72920602d9494d07b4c8af88f3782650 - L:ELABORATION 7fc218fafb664e0fb75b9176360de100 +# Amdavad ni Gufa is located in Ahmedabad , in India , the country where T S Thakur and Sumitra Mahajan are leaders . -4b25f807477a405bb9d8d67836e64a11 1 Obama was winning re-election . +9af84e9d437c4662bb63f3d4f1d23f72 0 Gufa is located in Ahmedabad . + S:SPATIAL This was in India . + L:ELABORATION 1177912a8f1141e3b3430a29b7389a78 + L:ELABORATION 7f144362d9e84a7a8f9749e22217df2c -72920602d9494d07b4c8af88f3782650 1 Obama was defeating Mitt Romney . +1177912a8f1141e3b3430a29b7389a78 1 The country where T S Thakur and Sumitra Mahajan are leaders were India . -7fc218fafb664e0fb75b9176360de100 1 Mitt Romney was Republican opponent . +7f144362d9e84a7a8f9749e22217df2c 1 Gufa was Amdavad ni . -### STEP 3) DO SENTENCE SIMPLIFICATION ### +# Processing sentence 22/554 # -DEACTIVATED - -# Processing sentence 22/527 # - -'During this term, he promoted inclusiveness for LGBT Americans.' +'The Amsterdamsche Football Club Ajax Amateurs is the complete name for the AFC Ajax -LRB- amateurs -RRB- who played in the Topklasse in the 2014-2015 season .' ### Step 1) CREATE SENTENCE DISCOURSE TREE ### CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - ├────────s────────> 'This was for LGBT Americans .' - └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalInitialExtractor) - ├───s───> 'This was during this term .' - └───n───> 'He promoted inclusiveness .' +└───n───> SUB/IDENTIFYING_DEFINITION ('who', RestrictiveRelativeClauseWhoWhichExtractor) + ├────────n────────> 'The Amsterdamsche Football Club Ajax Amateurs is the complete name for the AFC Ajax -LRB- amateurs -RRB- .' + └───s───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) + ├───s───> 'This was in the 2014-2015 season .' + └───n───> 'The complete name for the AFC Ajax -LRB- amateurs -RRB- played in the Topklasse .' ### STEP 2) DO DISCOURSE EXTRACTION ### -# During this term, he promoted inclusiveness for LGBT Americans. - -7fbeebd6d94847e292b6ff0a77ee7c88 0 He promoted inclusiveness . - S:UNKNOWN_SUBORDINATION This was during this term . - S:UNKNOWN_SUBORDINATION This was for LGBT Americans . +# The Amsterdamsche Football Club Ajax Amateurs is the complete name for the AFC Ajax -LRB- amateurs -RRB- who played in the Topklasse in the 2014-2015 season . +6ae8196cd93c4e85abc644387f6e3de7 0 The Amsterdamsche Football Club Ajax Amateurs is the complete name for the AFC Ajax -LRB- amateurs -RRB- . + L:IDENTIFYING_DEFINITION 3aec7c03b9214f9aa201eb6cc9b4b335 -### STEP 3) DO SENTENCE SIMPLIFICATION ### +3aec7c03b9214f9aa201eb6cc9b4b335 1 The complete name for the AFC Ajax -LRB- amateurs -RRB- played in the Topklasse . + S:TEMPORAL This was in the 2014-2015 season . -DEACTIVATED -# Processing sentence 23/527 # +# Processing sentence 23/554 # -'His administration filed briefs that urged the Supreme Court to strike down same-sex marriage bans as unconstitutional (United States v. Windsor and Obergefell v. Hodges); same-sex marriage was fully legalized in 2015 after the Court ruled that a same-sex marriage ban was unconstitutional in Obergefell.' +'The book , A Loyal Character Dancer , has the ISBN number of 1-56947-301-3 which has 360 pages .' ### Step 1) CREATE SENTENCE DISCOURSE TREE ### CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> CO/UNKNOWN_COORDINATION (';', CoordinationExtractor) - ├───n───> SUB/IDENTIFYING_DEFINITION ('that', RestrictiveRelativeClauseWhoWhichExtractor) - | ├────────n────────> 'His administration filed briefs .' - | └───s───> CO/LIST (NULL, PostListNPExtractor) - | ├───n───> 'Briefs urged the Supreme Court to strike down same-sex marriage bans as unconstitutional -LRB- United States v. Windsor -RRB- .' - | └───n───> 'Briefs urged the Supreme Court to strike down same-sex marriage bans as unconstitutional -LRB- Obergefell v. Hodges -RRB- .' - └───n───> SUB/TEMPORAL_BEFORE ('after', SubordinationPostExtractor) - ├────────n────────> 'Same-sex marriage was fully legalized in 2015 .' - └───s───> SUB/UNKNOWN_SUBORDINATION ('that', SubordinationPostExtractor) - ├───n───> 'The Court ruled .' - └───s───> 'A same-sex marriage ban was unconstitutional in Obergefell .' +└───n───> SUB/ELABORATION (NULL, NonRestrictiveAppositionExtractor) + ├────────s────────> 'The book is a Loyal Character Dancer .' + └───n───> SUB/IDENTIFYING_DEFINITION ('which', RestrictiveRelativeClauseWhoWhichExtractor) + ├───n───> 'The book has the ISBN number of 1-56947-301-3 .' + └───s───> 'The ISBN number of 1-56947-301-3 has 360 pages .' ### STEP 2) DO DISCOURSE EXTRACTION ### -# His administration filed briefs that urged the Supreme Court to strike down same-sex marriage bans as unconstitutional (United States v. Windsor and Obergefell v. Hodges); same-sex marriage was fully legalized in 2015 after the Court ruled that a same-sex marriage ban was unconstitutional in Obergefell. - -01c5a2075e794dbf9c9fad4ea1b2dcdc 0 His administration filed briefs . - L:IDENTIFYING_DEFINITION 5c9f45b75b324404a4bf3e492b75f13c - L:IDENTIFYING_DEFINITION a78192a1a8cd4028af0947d78c2871fd - -5c9f45b75b324404a4bf3e492b75f13c 1 Briefs urged the Supreme Court to strike down same-sex marriage bans as unconstitutional -LRB- United States v. Windsor -RRB- . - L:LIST a78192a1a8cd4028af0947d78c2871fd - -a78192a1a8cd4028af0947d78c2871fd 1 Briefs urged the Supreme Court to strike down same-sex marriage bans as unconstitutional -LRB- Obergefell v. Hodges -RRB- . - L:LIST 5c9f45b75b324404a4bf3e492b75f13c - -501d73449d1048899b66534cd880d5d0 0 Same-sex marriage was fully legalized in 2015 . - L:TEMPORAL_BEFORE 329c78e5108a4d94b69c619a28f10b5a +# The book , A Loyal Character Dancer , has the ISBN number of 1-56947-301-3 which has 360 pages . -329c78e5108a4d94b69c619a28f10b5a 1 The Court ruled . - L:UNKNOWN_SUBORDINATION 70e752d0d43849ca8c9174a5ef8668a3 +fd43cd027ccf4a5fa70e0906910fa3a8 0 The book has the ISBN number of 1-56947-301-3 . + L:IDENTIFYING_DEFINITION 81e31535b60e43bf8bccf7e3532d32a0 + L:ELABORATION cb8a670730c44bbf986a010c95aafafa -70e752d0d43849ca8c9174a5ef8668a3 2 A same-sex marriage ban was unconstitutional in Obergefell . +81e31535b60e43bf8bccf7e3532d32a0 1 The ISBN number of 1-56947-301-3 has 360 pages . +cb8a670730c44bbf986a010c95aafafa 1 The book is a Loyal Character Dancer . -### STEP 3) DO SENTENCE SIMPLIFICATION ### -DEACTIVATED +# Processing sentence 24/554 # -# Processing sentence 24/527 # - -'He advocated for gun control in response to the Sandy Hook Elementary School shooting, indicating support for a ban on assault weapons, and issued wide-ranging executive actions concerning climate change and immigration.' +'The novel A Long Long Way was followed by The Secret Scripture published by Faber and Faber .' ### Step 1) CREATE SENTENCE DISCOURSE TREE ### CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> CO/LIST (', and', SharedNPPostCoordinationExtractor) - ├───n───> CO/UNKNOWN_COORDINATION (NULL, SharedNPPostParticipalExtractor) - | ├───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - | | ├────────s────────> 'This was to the Sandy Hook Elementary School shooting .' - | | └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - | | ├───s───> 'This was in response .' - | | └───n───> 'He advocated for gun control .' - | └────────n────────> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - | ├───s───> 'This was for a ban on assault weapons .' - | └───n───> 'He was indicating support .' - └──────────────────n──────────────────> 'He issued wide-ranging executive actions concerning climate change and immigration .' +└───n───> SUB/IDENTIFYING_DEFINITION ('', RestrictiveRelativeClauseWithoutRelativePronounExtractor) + ├───n───> 'The novel published by Faber and Faber .' + └───s───> 'A Long Long Way was followed by The Secret Scripture The novel .' ### STEP 2) DO DISCOURSE EXTRACTION ### -# He advocated for gun control in response to the Sandy Hook Elementary School shooting, indicating support for a ban on assault weapons, and issued wide-ranging executive actions concerning climate change and immigration. - -b61c5e15d55342c4bd46128783474935 0 He advocated for gun control . - S:UNKNOWN_SUBORDINATION This was in response . - S:UNKNOWN_SUBORDINATION This was to the Sandy Hook Elementary School shooting . - L:LIST 1ced4e22ceb9422aba2df842f93e2c91 +# The novel A Long Long Way was followed by The Secret Scripture published by Faber and Faber . -6576317b709e441db06f41c9030bc37b 0 He was indicating support . - S:UNKNOWN_SUBORDINATION This was for a ban on assault weapons . - L:LIST 1ced4e22ceb9422aba2df842f93e2c91 +10f24db639274cdba0dad7dd4dc3397e 0 The novel published by Faber and Faber . + L:IDENTIFYING_DEFINITION 4fbadb85151c43be8abf11c52da302a1 -1ced4e22ceb9422aba2df842f93e2c91 0 He issued wide-ranging executive actions concerning climate change and immigration . - L:LIST b61c5e15d55342c4bd46128783474935 - L:LIST 6576317b709e441db06f41c9030bc37b +4fbadb85151c43be8abf11c52da302a1 1 A Long Long Way was followed by The Secret Scripture The novel . -### STEP 3) DO SENTENCE SIMPLIFICATION ### +# Processing sentence 25/554 # -DEACTIVATED - -# Processing sentence 25/527 # - -'In foreign policy, he ordered military intervention in Iraq in response to gains made by ISIL after the 2011 withdrawal from Iraq, continued the process of ending U.S. combat operations in Afghanistan, promoted discussions that led to the 2015 Paris Agreement on global climate change, initiated sanctions against Russia following the invasion in Ukraine and again after Russian interference in the 2016 United States elections, brokered a nuclear deal with Iran, and normalized U.S. relations with Cuba.' +'The manager of 1. FC Koln is Peter Stoger who is affiliated with the SC Wiener Neustadt club and plays for the Austria national football team .' ### Step 1) CREATE SENTENCE DISCOURSE TREE ### CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> CO/UNKNOWN_COORDINATION (NULL, SharedNPPostCoordinationExtractor) - ├───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) - | ├────────────────────────────s────────────────────────────> 'This was in Iraq .' - | └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - | ├───────────────────────s───────────────────────> 'This was in response .' - | └───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) - | ├───s───> SUB/IDENTIFYING_DEFINITION ('', RestrictiveParticipialExtractor) - | | ├─────────────n─────────────> 'This was to gains .' - | | └───s───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) - | | ├────────s────────> 'This was after the 2011 withdrawal .' - | | └───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) - | | ├───s───> 'This was from Iraq .' - | | └───n───> 'Gains were made by ISIL .' - | └─────────────n─────────────> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalInitialExtractor) - | ├───s───> 'This was in foreign policy .' - | └───n───> 'He ordered military intervention .' - ├────────────────────────────n────────────────────────────> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalInitialExtractor) - | ├───s───> 'This was in foreign policy .' - | └───n───> 'He continued the process of ending U.S. combat operations in Afghanistan .' - ├───────────────────────n───────────────────────> SUB/IDENTIFYING_DEFINITION ('that', RestrictiveRelativeClauseWhoWhichExtractor) - | ├───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalInitialExtractor) - | | ├───s───> 'This was in foreign policy .' - | | └───n───> 'He promoted discussions .' - | └───s───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - | ├───s───> 'This was on global climate change .' - | └───n───> 'Discussions led to the 2015 Paris Agreement .' - ├───────────────────────n───────────────────────> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) - | ├───s───> CO/LIST (NULL, PostListNPExtractor) - | | ├───n───> 'This was against Russia following the invasion in Ukraine .' - | | └───n───> 'This was against Russia following again after Russian interference in the 2016 United States elections .' - | └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalInitialExtractor) - | ├───s───> 'This was in foreign policy .' - | └───n───> 'He initiated sanctions .' - ├───────────────────────n───────────────────────> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) - | ├────────s────────> 'This was with Iran .' - | └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalInitialExtractor) - | ├───s───> 'This was in foreign policy .' - | └───n───> 'He brokered a nuclear deal .' - └───────────────────────n───────────────────────> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) - ├────────s────────> 'This was with Cuba .' - └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalInitialExtractor) - ├───s───> 'This was in foreign policy .' - └───n───> 'He normalized U.S. relations .' +└───n───> 'The manager of 1 . FC Koln is Peter Stoger who is affiliated with the SC Wiener Neustadt club and plays for the Austria national football team .' ### STEP 2) DO DISCOURSE EXTRACTION ### -# In foreign policy, he ordered military intervention in Iraq in response to gains made by ISIL after the 2011 withdrawal from Iraq, continued the process of ending U.S. combat operations in Afghanistan, promoted discussions that led to the 2015 Paris Agreement on global climate change, initiated sanctions against Russia following the invasion in Ukraine and again after Russian interference in the 2016 United States elections, brokered a nuclear deal with Iran, and normalized U.S. relations with Cuba. +# The manager of 1. FC Koln is Peter Stoger who is affiliated with the SC Wiener Neustadt club and plays for the Austria national football team . -a5acacdda4f744868cc5e7a746f55e38 0 He ordered military intervention . - S:UNKNOWN_SUBORDINATION This was in foreign policy . - S:UNKNOWN_SUBORDINATION This was in response . - S:SPATIAL This was in Iraq . - L:SPATIAL eca5cb9b0a7943f78aa84231331c5306 +332c896aaafd4309a308dfff5817863f 0 The manager of 1 . FC Koln is Peter Stoger who is affiliated with the SC Wiener Neustadt club and plays for the Austria national football team . -eca5cb9b0a7943f78aa84231331c5306 1 This was to gains . - L:IDENTIFYING_DEFINITION 138b435902ca41cda010815d95e59bd2 -138b435902ca41cda010815d95e59bd2 2 Gains were made by ISIL . - S:SPATIAL This was from Iraq . - S:TEMPORAL This was after the 2011 withdrawal . +# Processing sentence 26/554 # -3d89b52fffd3407c95c1df49f04656b4 0 He continued the process of ending U.S. combat operations in Afghanistan . - S:UNKNOWN_SUBORDINATION This was in foreign policy . +'William Anders was born on the 17th of October 1933 and graduated from AFIT in 1962 with an M.S.' -42326b4e888843de92e37ad4c855496a 0 He promoted discussions . - S:UNKNOWN_SUBORDINATION This was in foreign policy . - L:IDENTIFYING_DEFINITION a8972274335a4852af27887e931c18ad - -a8972274335a4852af27887e931c18ad 1 Discussions led to the 2015 Paris Agreement . - S:UNKNOWN_SUBORDINATION This was on global climate change . - -03c9f72b408144efba534c3c60af6e9d 0 He initiated sanctions . - S:UNKNOWN_SUBORDINATION This was in foreign policy . - L:SPATIAL 0e88d9c082be4be9901b10f45fe25eb7 - L:SPATIAL 10e5375de51f4e369d41cef33485da51 - -0e88d9c082be4be9901b10f45fe25eb7 1 This was against Russia following the invasion in Ukraine . - L:LIST 10e5375de51f4e369d41cef33485da51 +### Step 1) CREATE SENTENCE DISCOURSE TREE ### -10e5375de51f4e369d41cef33485da51 1 This was against Russia following again after Russian interference in the 2016 United States elections . - L:LIST 0e88d9c082be4be9901b10f45fe25eb7 +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> CO/LIST ('and', SharedNPPostCoordinationExtractor) + ├─────────────n─────────────> 'William Anders was born on the 17th of October 1933 .' + └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + ├────────s────────> 'This was with an M.S. .' + └───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) + ├───s───> 'This was in 1962 .' + └───n───> 'William Anders was graduated from AFIT .' -24ee63080118419888cdacb351cfb9bd 0 He brokered a nuclear deal . - S:UNKNOWN_SUBORDINATION This was in foreign policy . - S:SPATIAL This was with Iran . +### STEP 2) DO DISCOURSE EXTRACTION ### -91d78740493c419d963866e2704e213c 0 He normalized U.S. relations . - S:UNKNOWN_SUBORDINATION This was in foreign policy . - S:SPATIAL This was with Cuba . +# William Anders was born on the 17th of October 1933 and graduated from AFIT in 1962 with an M.S. +5a09c31ada0648d0821c62f6b0a0c945 0 William Anders was born on the 17th of October 1933 . + L:LIST 45775f8f96c9442ebc68f9d07954e83b -### STEP 3) DO SENTENCE SIMPLIFICATION ### +45775f8f96c9442ebc68f9d07954e83b 0 William Anders was graduated from AFIT . + S:TEMPORAL This was in 1962 . + S:UNKNOWN_SUBORDINATION This was with an M.S. . + L:LIST 5a09c31ada0648d0821c62f6b0a0c945 -DEACTIVATED -# Processing sentence 26/527 # +# Processing sentence 27/554 # -'Obama left office in January 2017 with a 60% approval rating and currently resides in Washington, D.C.' +'Alcatraz Versus the Evil Librarians is from The United States where one of the ethnic groups are the Native Americans and the English language is spoken .' ### Step 1) CREATE SENTENCE DISCOURSE TREE ### CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> CO/LIST ('and', SharedNPPostCoordinationExtractor) - ├───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) - | ├────────s────────> 'This was in January 2017 .' - | └───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) - | ├───s───> 'This was with a 60 % approval rating .' - | └───n───> 'Obama left office .' - └─────────────n─────────────> 'Obama currently resides in Washington , D.C. .' +└───n───> SUB/IDENTIFYING_DEFINITION ('', RestrictiveRelativeClauseWithoutRelativePronounExtractor) + ├────────n────────> 'Alcatraz Versus is spoken .' + └───s───> CO/LIST (NULL, PostListNPExtractor) + ├───n───> 'The Evil Librarians is Alcatraz Versus from The United States where one of the ethnic groups are the Native Americans .' + └───n───> 'The Evil Librarians is Alcatraz Versus from The United States where one of the ethnic groups are the English language .' ### STEP 2) DO DISCOURSE EXTRACTION ### -# Obama left office in January 2017 with a 60% approval rating and currently resides in Washington, D.C. +# Alcatraz Versus the Evil Librarians is from The United States where one of the ethnic groups are the Native Americans and the English language is spoken . -ae257aebb1ff478c9bbfa695bcdcdb39 0 Obama left office . - S:TEMPORAL This was with a 60 % approval rating . - S:TEMPORAL This was in January 2017 . - L:LIST d98482ce4aea4afca034fec11d3942d3 +27bf3d2f36a640beb979f8fd90903ffa 0 Alcatraz Versus is spoken . + L:IDENTIFYING_DEFINITION 3ff8219d738947e19cdc4017c166acf7 + L:IDENTIFYING_DEFINITION b2ca292340b8465bba47b26d9aaebe47 -d98482ce4aea4afca034fec11d3942d3 0 Obama currently resides in Washington , D.C. . - L:LIST ae257aebb1ff478c9bbfa695bcdcdb39 +3ff8219d738947e19cdc4017c166acf7 1 The Evil Librarians is Alcatraz Versus from The United States where one of the ethnic groups are the Native Americans . + L:LIST b2ca292340b8465bba47b26d9aaebe47 +b2ca292340b8465bba47b26d9aaebe47 1 The Evil Librarians is Alcatraz Versus from The United States where one of the ethnic groups are the English language . + L:LIST 3ff8219d738947e19cdc4017c166acf7 -### STEP 3) DO SENTENCE SIMPLIFICATION ### -DEACTIVATED +# Processing sentence 28/554 # -# Processing sentence 27/527 # - -'Since then, his presidency has been favorably ranked by historians and the general public.' +'Julia Morgan , born in San Francisco , designed the California landmark Los Angeles Herald examiner building and The Asilomar Conference Grounds .' ### Step 1) CREATE SENTENCE DISCOURSE TREE ### CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalInitialExtractor) - ├────────s────────> 'This was since then .' - └───n───> CO/LIST (NULL, PostListNPExtractor) - ├───n───> 'His presidency has been favorably ranked by historians .' - └───n───> 'His presidency has been favorably ranked by the general public .' +└───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) + ├─────────────s─────────────> 'Los Angeles Herald was the California landmark .' + └───n───> SUB/UNKNOWN_SUBORDINATION ('', ParticipialMiddleExtractor) + ├───n───> CO/LIST (NULL, PostListNPExtractor) + | ├───n───> 'Julia Morgan designed Los Angeles Herald examiner building .' + | └───n───> 'Julia Morgan designed The Asilomar Conference Grounds .' + └────────s────────> 'Julia Morgan was born in San Francisco .' ### STEP 2) DO DISCOURSE EXTRACTION ### -# Since then, his presidency has been favorably ranked by historians and the general public. +# Julia Morgan , born in San Francisco , designed the California landmark Los Angeles Herald examiner building and The Asilomar Conference Grounds . -3b11d6a8c468428dbc7b741e49ec37ff 0 His presidency has been favorably ranked by historians . - S:UNKNOWN_SUBORDINATION This was since then . - L:LIST b0aa6da1966342f0858436eece1bf051 +cfaa3d2ecc4f485f957807a5522d2923 0 Julia Morgan designed Los Angeles Herald examiner building . + L:LIST dd8ceca23c4b4e36b6e8dbb7bcb98f1d + L:UNKNOWN_SUBORDINATION a13346c1d45c45c0a5a9a69f3dc9da8b + L:ELABORATION 76f1f0b15b894b2487cfb6985304ac83 -b0aa6da1966342f0858436eece1bf051 0 His presidency has been favorably ranked by the general public . - S:UNKNOWN_SUBORDINATION This was since then . - L:LIST 3b11d6a8c468428dbc7b741e49ec37ff +dd8ceca23c4b4e36b6e8dbb7bcb98f1d 0 Julia Morgan designed The Asilomar Conference Grounds . + L:LIST cfaa3d2ecc4f485f957807a5522d2923 + L:UNKNOWN_SUBORDINATION a13346c1d45c45c0a5a9a69f3dc9da8b + L:ELABORATION 76f1f0b15b894b2487cfb6985304ac83 +a13346c1d45c45c0a5a9a69f3dc9da8b 1 Julia Morgan was born in San Francisco . -### STEP 3) DO SENTENCE SIMPLIFICATION ### +76f1f0b15b894b2487cfb6985304ac83 1 Los Angeles Herald was the California landmark . -DEACTIVATED -# Processing sentence 28/527 # +# Processing sentence 29/554 # -'He also had a high global approval rating, and the United States' reputation saw a dramatic upward shift during his presidency.' +'Birmingham , which is lead by the Labour politician John Clancy , is the home town of the architect John Madin who designed 103 Colmore Row .' ### Step 1) CREATE SENTENCE DISCOURSE TREE ### CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> CO/LIST (', and', CoordinationExtractor) - ├────────n────────> 'He also had a high global approval rating .' - └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - ├───s───> 'This was during his presidency .' - └───n───> 'The United States ' reputation saw a dramatic upward shift .' +└───n───> SUB/DESCRIBING_DEFINITION ('which', NonRestrictiveRelativeClauseWhoWhichExtractor) + ├───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) + | ├────────s────────> 'John Madin was the home town of the architect .' + | └───n───> SUB/IDENTIFYING_DEFINITION ('who', RestrictiveRelativeClauseWhoWhichExtractor) + | ├───n───> 'Birmingham is John Madin .' + | └───s───> 'John Madin designed 103 Colmore Row .' + └────────s────────> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) + ├───s───> 'John Clancy is the Labour politician .' + └───n───> 'Birmingham is lead by John Clancy .' ### STEP 2) DO DISCOURSE EXTRACTION ### -# He also had a high global approval rating, and the United States' reputation saw a dramatic upward shift during his presidency. +# Birmingham , which is lead by the Labour politician John Clancy , is the home town of the architect John Madin who designed 103 Colmore Row . -e0f30df9345944ef95ca4110cf67d563 0 He also had a high global approval rating . - L:LIST 37f4db11f4774beebbadacda59abe644 +a323d774a4ca42699645ff88940082dd 0 Birmingham is John Madin . + L:IDENTIFYING_DEFINITION 49edfe47d8d141eaa201ad998138654d + L:ELABORATION 878d7651c0d340439d6599dd73d8c7b9 + L:DESCRIBING_DEFINITION 590ec16dd09d47ff92857f6a8f056df9 -37f4db11f4774beebbadacda59abe644 0 The United States ' reputation saw a dramatic upward shift . - S:UNKNOWN_SUBORDINATION This was during his presidency . - L:LIST e0f30df9345944ef95ca4110cf67d563 +49edfe47d8d141eaa201ad998138654d 1 John Madin designed 103 Colmore Row . +878d7651c0d340439d6599dd73d8c7b9 1 John Madin was the home town of the architect . -### STEP 3) DO SENTENCE SIMPLIFICATION ### +590ec16dd09d47ff92857f6a8f056df9 1 Birmingham is lead by John Clancy . + L:ELABORATION 1fe2a43585194be8a708b2822b4d3a95 -DEACTIVATED +1fe2a43585194be8a708b2822b4d3a95 2 John Clancy is the Labour politician . -# Processing sentence 29/527 # -'Obama was born on August 4, 1961, at Kapiolani Medical Center for Women and Children in Honolulu, Hawaii.' +# Processing sentence 30/554 # + +'Eric Flint 's book , `` 1634 : The Bavarian Crisis , '' was preceded by `` Grantville Gazette II . ''' ### Step 1) CREATE SENTENCE DISCOURSE TREE ### +Loading POS tagger from edu/stanford/nlp/models/pos-tagger/english-left3words/english-left3words-distsim.tagger ... done [0.4 sec]. + CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) - ├────────s────────> 'This was at Kapiolani Medical Center for Women and Children .' - └───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) - ├───s───> 'This was in Honolulu , Hawaii .' - └───n───> 'Obama was born on August 4 , 1961 .' +└───n───> 'Eric Flint 's book , `` 1634 : The Bavarian Crisis , '' was preceded by `` Grantville Gazette II . ''' ### STEP 2) DO DISCOURSE EXTRACTION ### -# Obama was born on August 4, 1961, at Kapiolani Medical Center for Women and Children in Honolulu, Hawaii. +# Eric Flint 's book , `` 1634 : The Bavarian Crisis , '' was preceded by `` Grantville Gazette II . '' -6f562ec4fca846048678e3c773e4a469 0 Obama was born on August 4 , 1961 . - S:SPATIAL This was in Honolulu , Hawaii . - S:SPATIAL This was at Kapiolani Medical Center for Women and Children . +fdd30ceec9db49c0819aac369e34ceb7 0 Eric Flint 's book , `` 1634 : The Bavarian Crisis , '' was preceded by `` Grantville Gazette II . '' -### STEP 3) DO SENTENCE SIMPLIFICATION ### +# Processing sentence 31/554 # -DEACTIVATED - -# Processing sentence 30/527 # - -'He is the only President who was born in Hawaii and the only President who was born outside of the contiguous 48 states.' +'The native name of the Baku Turkish Martyrs ' Memorial is Turk Sehitleri Aniti and is made of red granite and white marble .' ### Step 1) CREATE SENTENCE DISCOURSE TREE ### CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/IDENTIFYING_DEFINITION ('who', RestrictiveRelativeClauseWhoWhichExtractor) - ├───n───> SUB/IDENTIFYING_DEFINITION ('who', RestrictiveRelativeClauseWhoWhichExtractor) - | ├───n───> CO/LIST (NULL, PostListNPExtractor) - | | ├───n───> 'He is the only President .' - | | └───n───> 'He is the only President .' - | └────────s────────> 'The only President was born outside of the contiguous 48 states .' - └─────────────s─────────────> 'The only President was born in Hawaii .' +└───n───> CO/LIST ('and', SharedNPPostCoordinationExtractor) + ├────────n────────> 'The native name of the Baku Turkish Martyrs ' Memorial is Turk Sehitleri Aniti .' + └───n───> CO/LIST (NULL, PostListNPExtractor) + ├───n───> 'The native name of the Baku Turkish Martyrs ' Memorial is made of red granite .' + └───n───> 'The native name of the Baku Turkish Martyrs ' Memorial is made of white marble .' ### STEP 2) DO DISCOURSE EXTRACTION ### -# He is the only President who was born in Hawaii and the only President who was born outside of the contiguous 48 states. - -2e44601d79254426a73d56207e00c36b 0 He is the only President . - L:LIST f50f90f79f694a4a9cca04635369d1d6 - L:IDENTIFYING_DEFINITION d4c5a93bcea14adbbc751df16072103e - L:IDENTIFYING_DEFINITION 7bb0fd9a08cb435ca5cdd447a5b645a8 - -f50f90f79f694a4a9cca04635369d1d6 0 He is the only President . - L:LIST 2e44601d79254426a73d56207e00c36b - L:IDENTIFYING_DEFINITION d4c5a93bcea14adbbc751df16072103e - L:IDENTIFYING_DEFINITION 7bb0fd9a08cb435ca5cdd447a5b645a8 +# The native name of the Baku Turkish Martyrs ' Memorial is Turk Sehitleri Aniti and is made of red granite and white marble . -d4c5a93bcea14adbbc751df16072103e 1 The only President was born outside of the contiguous 48 states . +71e16307dba54d6898f6229c9fc15a63 0 The native name of the Baku Turkish Martyrs ' Memorial is Turk Sehitleri Aniti . + L:LIST 30b8f3cde6ff46f190a58fda9cb9692b + L:LIST 3752d72229ff48738de1e0068a4d1cf5 -7bb0fd9a08cb435ca5cdd447a5b645a8 1 The only President was born in Hawaii . +30b8f3cde6ff46f190a58fda9cb9692b 0 The native name of the Baku Turkish Martyrs ' Memorial is made of red granite . + L:LIST 3752d72229ff48738de1e0068a4d1cf5 + L:LIST 71e16307dba54d6898f6229c9fc15a63 +3752d72229ff48738de1e0068a4d1cf5 0 The native name of the Baku Turkish Martyrs ' Memorial is made of white marble . + L:LIST 30b8f3cde6ff46f190a58fda9cb9692b + L:LIST 71e16307dba54d6898f6229c9fc15a63 -### STEP 3) DO SENTENCE SIMPLIFICATION ### -DEACTIVATED +# Processing sentence 32/554 # -# Processing sentence 31/527 # - -'He was born to a white mother and a black father.' +'Construction of 250 Delaware Avenue began in January 2014 and has 12 floors with an area of 30843.8 square metres .' ### Step 1) CREATE SENTENCE DISCOURSE TREE ### CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> CO/LIST (NULL, PostListNPExtractor) - ├───n───> 'He was born to a white mother .' - └───n───> 'He was born to a black father .' +└───n───> CO/LIST ('and', SharedNPPostCoordinationExtractor) + ├───n───> 'Construction of 250 Delaware Avenue began in January 2014 .' + └───n───> 'Construction of 250 Delaware Avenue has 12 floors with an area of 30843.8 square metres .' ### STEP 2) DO DISCOURSE EXTRACTION ### -# He was born to a white mother and a black father. - -5fe0db2e252a43a68cd4bc91c436c3c4 0 He was born to a white mother . - L:LIST 3220563bb8224779807b27eef3a373ef +# Construction of 250 Delaware Avenue began in January 2014 and has 12 floors with an area of 30843.8 square metres . -3220563bb8224779807b27eef3a373ef 0 He was born to a black father . - L:LIST 5fe0db2e252a43a68cd4bc91c436c3c4 +36abd1acd45941b3ab6d9187e67128d3 0 Construction of 250 Delaware Avenue began in January 2014 . + L:LIST 47a5087a1fc44558951c99f6b13dfb3c +47a5087a1fc44558951c99f6b13dfb3c 0 Construction of 250 Delaware Avenue has 12 floors with an area of 30843.8 square metres . + L:LIST 36abd1acd45941b3ab6d9187e67128d3 -### STEP 3) DO SENTENCE SIMPLIFICATION ### -DEACTIVATED +# Processing sentence 33/554 # -# Processing sentence 32/527 # - -'His mother, Ann Dunham (1942–1995), was born in Wichita, Kansas; she was mostly of English descent, with some German, Irish, Scottish, Swiss, and Welsh ancestry.' +'The address , 11 Diagonal Street is located in South Africa where Jacob Zuma is a leader and some coloured people live .' ### Step 1) CREATE SENTENCE DISCOURSE TREE ### CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> CO/UNKNOWN_COORDINATION (';', CoordinationExtractor) - ├───n───> SUB/ELABORATION (NULL, NonRestrictiveAppositionExtractor) - | ├───s───> 'Ann Dunham -LRB- 1942 -- 1995 -RRB- was his mother .' - | └───n───> 'His mother was born in Wichita , Kansas .' - └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalMiddleFinalExtractor) - ├───s───> 'This was with some German , Irish , Scottish , Swiss , and Welsh ancestry .' - └───n───> 'She was mostly of English descent .' +└───n───> SUB/ELABORATION (NULL, NonRestrictiveAppositionExtractor) + ├───s───> SUB/IDENTIFYING_DEFINITION ('', RestrictiveRelativeClauseWithoutRelativePronounExtractor) + | ├────────n────────> 'The address is 11 .' + | └───s───> CO/LIST (NULL, PostListNPExtractor) + | ├───n───> 'Diagonal Street is located in South Africa where Jacob Zuma is a leader .' + | └───n───> 'Diagonal Street is located in South Africa where Jacob Zuma is some coloured people 11 .' + └─────────────n─────────────> 'The address live .' ### STEP 2) DO DISCOURSE EXTRACTION ### -# His mother, Ann Dunham (1942–1995), was born in Wichita, Kansas; she was mostly of English descent, with some German, Irish, Scottish, Swiss, and Welsh ancestry. +# The address , 11 Diagonal Street is located in South Africa where Jacob Zuma is a leader and some coloured people live . -b5abb7833f924439901c46b9bae46d10 0 His mother was born in Wichita , Kansas . - L:ELABORATION 665b594f18ef4603beb778be253f0e77 +5d27a07b4f764ce4b58325e188cb40c6 0 The address live . + L:ELABORATION e144af1fe6e64ef5ac021761b7e87667 -665b594f18ef4603beb778be253f0e77 1 Ann Dunham -LRB- 1942 -- 1995 -RRB- was his mother . +e144af1fe6e64ef5ac021761b7e87667 1 The address is 11 . + L:IDENTIFYING_DEFINITION d6ccfc0abbaa43238baf9bea69f0bf92 + L:IDENTIFYING_DEFINITION 9f4476b3550e4bb5b21ffe76a0748f26 -8ed3154467864eaea531e364c3fa0d33 0 She was mostly of English descent . - S:UNKNOWN_SUBORDINATION This was with some German , Irish , Scottish , Swiss , and Welsh ancestry . +d6ccfc0abbaa43238baf9bea69f0bf92 2 Diagonal Street is located in South Africa where Jacob Zuma is a leader . + L:LIST 9f4476b3550e4bb5b21ffe76a0748f26 +9f4476b3550e4bb5b21ffe76a0748f26 2 Diagonal Street is located in South Africa where Jacob Zuma is some coloured people 11 . + L:LIST d6ccfc0abbaa43238baf9bea69f0bf92 -### STEP 3) DO SENTENCE SIMPLIFICATION ### -DEACTIVATED +# Processing sentence 34/554 # -# Processing sentence 33/527 # - -'His father, Barack Obama Sr.' +'HOK SVE was the architect of the 3Arena which is located at `` North Wall Quay '' .' ### Step 1) CREATE SENTENCE DISCOURSE TREE ### CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> 'His father , Barack Obama Sr. .' +└───n───> SUB/IDENTIFYING_DEFINITION ('which', RestrictiveRelativeClauseWhoWhichExtractor) + ├───n───> 'HOK SVE was the architect of the 3Arena .' + └───s───> 'The 3Arena is located at `` North Wall Quay '' .' ### STEP 2) DO DISCOURSE EXTRACTION ### -# His father, Barack Obama Sr. - -3a0fff848e6f4659b4a291eb35d78b4a 0 His father , Barack Obama Sr. . +# HOK SVE was the architect of the 3Arena which is located at `` North Wall Quay '' . +7f68a0a1e7b24f5892b116d7c9b009de 0 HOK SVE was the architect of the 3Arena . + L:IDENTIFYING_DEFINITION 079c0b3210414e57baea87f601c9c8df -### STEP 3) DO SENTENCE SIMPLIFICATION ### +079c0b3210414e57baea87f601c9c8df 1 The 3Arena is located at `` North Wall Quay '' . -DEACTIVATED -# Processing sentence 34/527 # +# Processing sentence 35/554 # -'(1936–1982), was a married Luo Kenyan man from Nyang'oma Kogelo.' +'A T Charlie Johnson lives in the US and is the editor of AIP Advances which was published by the American Institute of Physics .' ### Step 1) CREATE SENTENCE DISCOURSE TREE ### CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> '-LRB- 1936 -- 1982 -RRB- , was a married Luo Kenyan man from Nyang ` oma Kogelo .' +└───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) + ├─────────────s─────────────> 'Charlie Johnson was A T .' + └───n───> CO/LIST ('and', SharedNPPostCoordinationExtractor) + ├────────n────────> 'Charlie Johnson lives in the US .' + └───n───> SUB/IDENTIFYING_DEFINITION ('which', RestrictiveRelativeClauseWhoWhichExtractor) + ├───n───> 'Charlie Johnson is the editor of AIP Advances .' + └───s───> 'The editor of AIP Advances was published by the American Institute of Physics .' ### STEP 2) DO DISCOURSE EXTRACTION ### -# (1936–1982), was a married Luo Kenyan man from Nyang'oma Kogelo. +# A T Charlie Johnson lives in the US and is the editor of AIP Advances which was published by the American Institute of Physics . -7688e3fc44b94bc6909ee6da3ae4648e 0 -LRB- 1936 -- 1982 -RRB- , was a married Luo Kenyan man from Nyang ` oma Kogelo . +c43344a2528a4f68b06f719bbb2027ce 0 Charlie Johnson lives in the US . + L:LIST 5ad4b033de52445cb5d91c6ba44c2453 + L:ELABORATION 62e10f349dd54e2fb490739b3bfbbd5d +5ad4b033de52445cb5d91c6ba44c2453 0 Charlie Johnson is the editor of AIP Advances . + L:IDENTIFYING_DEFINITION 7d3272170ede4abfb1dfe18682029c91 + L:LIST c43344a2528a4f68b06f719bbb2027ce + L:ELABORATION 62e10f349dd54e2fb490739b3bfbbd5d -### STEP 3) DO SENTENCE SIMPLIFICATION ### +7d3272170ede4abfb1dfe18682029c91 1 The editor of AIP Advances was published by the American Institute of Physics . -DEACTIVATED +62e10f349dd54e2fb490739b3bfbbd5d 1 Charlie Johnson was A T . -# Processing sentence 35/527 # -'Obama's parents met in 1960 in a Russian language class at the University of Hawaii at Manoa, where his father was a foreign student on a scholarship.' +# Processing sentence 36/554 # + +'AFC Fylde -LRB- full name : Association Football Club Fylde -RRB- , played in 2014 and their ground in Lancashire holds 3180 fans .' ### Step 1) CREATE SENTENCE DISCOURSE TREE ### CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/SPATIAL (NULL, NonRestrictiveRelativeClauseWhereExtractor) - ├───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - | ├────────s────────> 'This was in a Russian language class at the University of Hawaii .' - | └───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) - | ├───s───> 'This was at Manoa .' - | └───n───> 'Obama 's parents met in 1960 .' - └─────────────s─────────────> 'His father was a foreign student on a scholarship .' +└───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) + ├───s───> 'This is in Lancashire .' + └───n───> 'AFC Fylde -LRB- full name : Association Football Club Fylde -RRB- , played in 2014 and their ground holds 3180 fans .' ### STEP 2) DO DISCOURSE EXTRACTION ### -# Obama's parents met in 1960 in a Russian language class at the University of Hawaii at Manoa, where his father was a foreign student on a scholarship. - -7dc359e9255842ce870bd4665d7fdbde 0 Obama 's parents met in 1960 . - S:SPATIAL This was at Manoa . - S:UNKNOWN_SUBORDINATION This was in a Russian language class at the University of Hawaii . - L:SPATIAL e62f9b42943f4fbb8f154cdf030cff22 +# AFC Fylde -LRB- full name : Association Football Club Fylde -RRB- , played in 2014 and their ground in Lancashire holds 3180 fans . -e62f9b42943f4fbb8f154cdf030cff22 1 His father was a foreign student on a scholarship . +70d40d154a0747cd8f2d05a61a0cb315 0 AFC Fylde -LRB- full name : Association Football Club Fylde -RRB- , played in 2014 and their ground holds 3180 fans . + S:SPATIAL This is in Lancashire . -### STEP 3) DO SENTENCE SIMPLIFICATION ### +# Processing sentence 37/554 # -DEACTIVATED - -# Processing sentence 36/527 # - -'The couple married in Wailuku, Hawaii on February 2, 1961, six months before Obama was born.' +'Agremiação Sportiva Arapiraquense , managed by Vica , has 17000 members .' ### Step 1) CREATE SENTENCE DISCOURSE TREE ### CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/TEMPORAL_AFTER ('before', SubordinationPostExtractor) - ├───n───> 'The couple married in Wailuku , Hawaii on February 2 , 1961 , six months .' - └───s───> 'Obama was born .' +└───n───> SUB/UNKNOWN_SUBORDINATION ('', ParticipialMiddleExtractor) + ├───n───> 'Agremiação Sportiva Arapiraquense has 17000 members .' + └───s───> 'Agremiação Sportiva Arapiraquense is managed by Vica .' ### STEP 2) DO DISCOURSE EXTRACTION ### -# The couple married in Wailuku, Hawaii on February 2, 1961, six months before Obama was born. - -98c12cc147ad4b29a5f1d6a508ba6245 0 The couple married in Wailuku , Hawaii on February 2 , 1961 , six months . - L:TEMPORAL_AFTER 004277ba392d4a818b14281a13d0da04 +# Agremiação Sportiva Arapiraquense , managed by Vica , has 17000 members . -004277ba392d4a818b14281a13d0da04 1 Obama was born . +d76a4e24b8b5436f8335317e3a1f2247 0 Agremiação Sportiva Arapiraquense has 17000 members . + L:UNKNOWN_SUBORDINATION ddc120ad39a447c89112f49a1097d166 +ddc120ad39a447c89112f49a1097d166 1 Agremiação Sportiva Arapiraquense is managed by Vica . -### STEP 3) DO SENTENCE SIMPLIFICATION ### -DEACTIVATED +# Processing sentence 38/554 # -# Processing sentence 37/527 # - -'In late August 1961 (only a few weeks after he was born), Barack and his mother moved to the University of Washington in Seattle, where they lived for a year.' +'AFC Ajax -LRB- amateurs -RRB- , who have 5000 members played in the 2014 season .' ### Step 1) CREATE SENTENCE DISCOURSE TREE ### CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/SPATIAL (NULL, NonRestrictiveRelativeClauseWhereExtractor) - ├───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) - | ├─────────────s─────────────> 'This was in Seattle .' - | └───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - | ├────────s────────> 'This was in late August 1961 -LRB- only a few weeks after he was born -RRB- .' - | └───n───> CO/LIST (NULL, PreListNPExtractor) - | ├───n───> 'Barack moved to the University of Washington .' - | └───n───> 'His mother moved to the University of Washington .' - └──────────────────s──────────────────> 'They lived for a year .' +└───n───> SUB/DESCRIBING_DEFINITION ('who', NonRestrictiveRelativeClauseWhoWhichExtractor) + ├───n───> 'AFC Ajax -LRB- amateurs -RRB- played in the 2014 season .' + └───s───> 'AFC Ajax -LRB- amateurs -RRB- have 5000 members .' ### STEP 2) DO DISCOURSE EXTRACTION ### -# In late August 1961 (only a few weeks after he was born), Barack and his mother moved to the University of Washington in Seattle, where they lived for a year. - -00d83b5943944c55a4dcbed4a5cdac63 0 Barack moved to the University of Washington . - S:TEMPORAL This was in late August 1961 -LRB- only a few weeks after he was born -RRB- . - S:SPATIAL This was in Seattle . - L:LIST e4d194b484f54a949e0a7ce3f0c4398a - L:SPATIAL 2b29cf657aa446febd6d4839df90d763 +# AFC Ajax -LRB- amateurs -RRB- , who have 5000 members played in the 2014 season . -e4d194b484f54a949e0a7ce3f0c4398a 0 His mother moved to the University of Washington . - S:TEMPORAL This was in late August 1961 -LRB- only a few weeks after he was born -RRB- . - S:SPATIAL This was in Seattle . - L:LIST 00d83b5943944c55a4dcbed4a5cdac63 - L:SPATIAL 2b29cf657aa446febd6d4839df90d763 +cdea8f11210a48af8aa9e2b7a28620ee 0 AFC Ajax -LRB- amateurs -RRB- played in the 2014 season . + L:DESCRIBING_DEFINITION d8535f7e8dda4ce3a7b8c407050577a3 -2b29cf657aa446febd6d4839df90d763 1 They lived for a year . +d8535f7e8dda4ce3a7b8c407050577a3 1 AFC Ajax -LRB- amateurs -RRB- have 5000 members . -### STEP 3) DO SENTENCE SIMPLIFICATION ### +# Processing sentence 39/554 # -DEACTIVATED - -# Processing sentence 38/527 # - -'During that time, the elder Obama completed his undergraduate degree in economics in Hawaii, graduating in June 1962.' +'A Loyal Character Dancer is published by Soho Press in the United States where one of the ethnic groups is Native Americans .' ### Step 1) CREATE SENTENCE DISCOURSE TREE ### CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> CO/UNKNOWN_COORDINATION (NULL, SharedNPPostParticipalExtractor) - ├───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - | ├─────────────s─────────────> 'This was in economics .' - | └───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) - | ├────────s────────> 'This was in Hawaii .' - | └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalInitialExtractor) - | ├───s───> 'This was during that time .' - | └───n───> 'The elder Obama completed his undergraduate degree .' - └─────────────n─────────────> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalInitialExtractor) - ├───s───> 'This was during that time .' - └───n───> 'The elder Obama was graduating in June 1962 .' +└───n───> SUB/ATTRIBUTION (NULL, SubordinationPostAttributionExtractor) + ├───s───> 'This was what a Loyal Character Dancer is published by Soho Press in the United States .' + └───n───> 'Where one of the ethnic groups is Native Americans .' ### STEP 2) DO DISCOURSE EXTRACTION ### -# During that time, the elder Obama completed his undergraduate degree in economics in Hawaii, graduating in June 1962. - -34e003ef2e7b4f00af8703c4f572e21e 0 The elder Obama completed his undergraduate degree . - S:UNKNOWN_SUBORDINATION This was during that time . - S:SPATIAL This was in Hawaii . - S:UNKNOWN_SUBORDINATION This was in economics . +# A Loyal Character Dancer is published by Soho Press in the United States where one of the ethnic groups is Native Americans . -998c5e044cc64f1281ae307cbd8680be 0 The elder Obama was graduating in June 1962 . - S:UNKNOWN_SUBORDINATION This was during that time . +5a50f461838b400e8bc74936c9d532ca 0 Where one of the ethnic groups is Native Americans . + S:ATTRIBUTION This was what a Loyal Character Dancer is published by Soho Press in the United States . -### STEP 3) DO SENTENCE SIMPLIFICATION ### +# Processing sentence 40/554 # -DEACTIVATED - -# Processing sentence 39/527 # - -'He then left to attend graduate school on a scholarship at Harvard University, where he earned an M.A. in economics.' +'Alexis Tsipras and Nikos Voutsis are leaders in Greece , where Athens is the capital , Greek is spoken and where A.E Dimitra Efxeinoupolis is located .' ### Step 1) CREATE SENTENCE DISCOURSE TREE ### CO/UNKNOWN_COORDINATION (NULL, ROOT) └───n───> SUB/SPATIAL (NULL, NonRestrictiveRelativeClauseWhereExtractor) - ├───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - | ├───s───> 'This was on a scholarship at Harvard University .' - | └───n───> 'He then left to attend graduate school .' - └───s───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - ├───s───> 'This was in economics .' - └───n───> 'He earned an M.A. .' + ├───n───> 'Alexis Tsipras and Nikos Voutsis are leaders in Greece .' + └───s───> 'Athens is the capital , Greek is spoken and where A.E Dimitra Efxeinoupolis is located .' ### STEP 2) DO DISCOURSE EXTRACTION ### -# He then left to attend graduate school on a scholarship at Harvard University, where he earned an M.A. in economics. - -5d3a157771b34e85ab6489d552ee74eb 0 He then left to attend graduate school . - S:UNKNOWN_SUBORDINATION This was on a scholarship at Harvard University . - L:SPATIAL 72e9b54e1a514b308ba33d84769e01cf +# Alexis Tsipras and Nikos Voutsis are leaders in Greece , where Athens is the capital , Greek is spoken and where A.E Dimitra Efxeinoupolis is located . -72e9b54e1a514b308ba33d84769e01cf 1 He earned an M.A. . - S:UNKNOWN_SUBORDINATION This was in economics . +78dd58a45d8e47f0ac9f3f7e433013fd 0 Alexis Tsipras and Nikos Voutsis are leaders in Greece . + L:SPATIAL 4bdcc50f1dbf4fa982e3606bdba0fc3e +4bdcc50f1dbf4fa982e3606bdba0fc3e 1 Athens is the capital , Greek is spoken and where A.E Dimitra Efxeinoupolis is located . -### STEP 3) DO SENTENCE SIMPLIFICATION ### -DEACTIVATED +# Processing sentence 41/554 # -# Processing sentence 40/527 # - -'Obama's parents divorced in March 1964.' +'A.F.C. Blackpool fullname is `` Association Football Club Blackpool '' , they have 1500 members and their ground is located in Blackpool .' ### Step 1) CREATE SENTENCE DISCOURSE TREE ### CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> 'Obama 's parents divorced in March 1964 .' +└───n───> CO/UNKNOWN_COORDINATION (NULL, CoordinationExtractor) + ├───n───> 'A.F.C. Blackpool fullname is `` Association Football Club Blackpool '' .' + ├───n───> 'They have 1500 members .' + └───n───> 'Their ground is located in Blackpool .' ### STEP 2) DO DISCOURSE EXTRACTION ### -# Obama's parents divorced in March 1964. +# A.F.C. Blackpool fullname is `` Association Football Club Blackpool '' , they have 1500 members and their ground is located in Blackpool . -71c6eb2ff9d34a4bab9edb94300d29fe 0 Obama 's parents divorced in March 1964 . +efbecfeec9d8493aa43167051f87410b 0 A.F.C. Blackpool fullname is `` Association Football Club Blackpool '' . +9e1b6780192b4813a1a7d5455ea7f931 0 They have 1500 members . -### STEP 3) DO SENTENCE SIMPLIFICATION ### +198a7c0592e249168a3db8879b009728 0 Their ground is located in Blackpool . -DEACTIVATED -# Processing sentence 41/527 # +# Processing sentence 42/554 # -'Obama Sr. returned to Kenya in 1964, where he married for a third time.' +'200 Public Square is located at Public Square , Cleveland and has a floor count of 45 .' ### Step 1) CREATE SENTENCE DISCOURSE TREE ### CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/SPATIAL (NULL, NonRestrictiveRelativeClauseWhereExtractor) - ├───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) - | ├───s───> 'This was in 1964 .' - | └───n───> 'Obama Sr. returned to Kenya .' - └────────s────────> 'He married for a third time .' +└───n───> SUB/ELABORATION (NULL, NonRestrictiveAppositionExtractor) + ├────────s────────> 'Public Square was Cleveland .' + └───n───> CO/LIST ('and', SharedNPPostCoordinationExtractor) + ├───n───> '200 Public Square is located at Public Square .' + └───n───> '200 Public Square has a floor count of 45 .' ### STEP 2) DO DISCOURSE EXTRACTION ### -# Obama Sr. returned to Kenya in 1964, where he married for a third time. +# 200 Public Square is located at Public Square , Cleveland and has a floor count of 45 . -87de8d0fe0f34fc7a650141424c12c39 0 Obama Sr. returned to Kenya . - S:TEMPORAL This was in 1964 . - L:SPATIAL 1e27acb7253f4a4684ceed8da4c2a039 +e661a5cb436843b9882f9f63144362a8 0 200 Public Square is located at Public Square . + L:LIST e49c251db27149ee99acd190ff654b9f + L:ELABORATION 145220a587f14ff2b7109207f849f68c -1e27acb7253f4a4684ceed8da4c2a039 1 He married for a third time . +e49c251db27149ee99acd190ff654b9f 0 200 Public Square has a floor count of 45 . + L:LIST e661a5cb436843b9882f9f63144362a8 + L:ELABORATION 145220a587f14ff2b7109207f849f68c +145220a587f14ff2b7109207f849f68c 1 Public Square was Cleveland . -### STEP 3) DO SENTENCE SIMPLIFICATION ### -DEACTIVATED +# Processing sentence 43/554 # -# Processing sentence 42/527 # - -'He visited his son in Hawaii only once, at Christmas time in 1971, before he was killed in an automobile accident in 1982, when Obama was 21 years old.' +'AEK Athens FC , whose home ground is in Greece , has 69618 members and compete in the Superleague Greece .' ### Step 1) CREATE SENTENCE DISCOURSE TREE ### CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/SPATIAL (NULL, NonRestrictiveRelativeClauseWhereExtractor) - ├───n───> SUB/TEMPORAL_AFTER ('before', SubordinationPostExtractor) - | ├───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) - | | ├────────s────────> 'This was in Hawaii .' - | | └───n───> SUB/TEMPORAL (NULL, PrepositionalMiddleFinalExtractor) - | | ├───s───> 'This was at Christmas time in 1971 .' - | | └───n───> 'He visited his son only once .' - | └─────────────s─────────────> 'He was killed in an automobile accident in 1982 .' - └──────────────────s──────────────────> 'Obama was 21 years old .' +└───n───> SUB/DESCRIBING_DEFINITION (NULL, NonRestrictiveRelativeClauseWhoseExtractor) + ├───n───> CO/LIST ('and', SharedNPPostCoordinationExtractor) + | ├────────n────────> 'AEK Athens FC has 69618 members .' + | └───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) + | ├───s───> 'Greece is the Superleague .' + | └───n───> 'AEK Athens FC compete in Greece .' + └────────s────────> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) + ├───s───> 'AEK Athens FC is Greece .' + └───n───> 'Ground is in AEK Athens FC 's home .' ### STEP 2) DO DISCOURSE EXTRACTION ### -# He visited his son in Hawaii only once, at Christmas time in 1971, before he was killed in an automobile accident in 1982, when Obama was 21 years old. +# AEK Athens FC , whose home ground is in Greece , has 69618 members and compete in the Superleague Greece . -91554378d6ad47768f2d6a7b2517e6a7 0 He visited his son only once . - S:TEMPORAL This was at Christmas time in 1971 . - S:SPATIAL This was in Hawaii . - L:TEMPORAL_AFTER c6efb5e19dcd4abea71b237238bee02a - L:SPATIAL e171fe9ac23948679e3f68f875f31c87 +0942990b02df45dc896bd7cb12199892 0 AEK Athens FC has 69618 members . + L:LIST 1f8ff39edf334fb5882bd66d1574e620 + L:DESCRIBING_DEFINITION ddfeb1bb7bc04b2a9075530ac763f27f -c6efb5e19dcd4abea71b237238bee02a 1 He was killed in an automobile accident in 1982 . +1f8ff39edf334fb5882bd66d1574e620 0 AEK Athens FC compete in Greece . + L:ELABORATION 8e5495aafe674699beaf65936ed21d3f + L:LIST 0942990b02df45dc896bd7cb12199892 + L:DESCRIBING_DEFINITION ddfeb1bb7bc04b2a9075530ac763f27f -e171fe9ac23948679e3f68f875f31c87 1 Obama was 21 years old . +8e5495aafe674699beaf65936ed21d3f 1 Greece is the Superleague . +ddfeb1bb7bc04b2a9075530ac763f27f 1 Ground is in AEK Athens FC 's home . + L:ELABORATION 83177a6223d8412fa1ae72443a9170f1 -### STEP 3) DO SENTENCE SIMPLIFICATION ### +83177a6223d8412fa1ae72443a9170f1 2 AEK Athens FC is Greece . -DEACTIVATED -# Processing sentence 43/527 # +# Processing sentence 44/554 # -'Recalling his early childhood, Obama said, That my father looked nothing like the people around me – that he was black as pitch, my mother white as milk – barely registered in my mind.' +'Asser Levy Public Baths are in New York City of which New Netherland is a part .' ### Step 1) CREATE SENTENCE DISCOURSE TREE ### CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/ELABORATION (NULL, NonRestrictiveAppositionExtractor) - ├─────────────s─────────────> 'Pitch was my mother white .' - └───n───> CO/UNKNOWN_COORDINATION ('', SharedNPPreParticipalExtractor) - ├────────n────────> 'Obama was recalling his early childhood .' - └───n───> SUB/ATTRIBUTION (NULL, SubordinationPostAttributionExtractor) - ├───s───> 'This was what Obama said .' - └───n───> 'That my father looked nothing like the people around me -- that he was black as pitch as milk -- barely registered in my mind .' +└───n───> 'Asser Levy Public Baths are in New York City of which New Netherland is a part .' ### STEP 2) DO DISCOURSE EXTRACTION ### -# Recalling his early childhood, Obama said, That my father looked nothing like the people around me – that he was black as pitch, my mother white as milk – barely registered in my mind. - -83b167094895453aa4a0505fa9e18558 0 Obama was recalling his early childhood . - L:ELABORATION fc16fe27b9e6454786ec4fd8dd9c5a8e - -f46108fe1dbe4f00a39dbd6d9f2ef7a4 0 That my father looked nothing like the people around me -- that he was black as pitch as milk -- barely registered in my mind . - S:ATTRIBUTION This was what Obama said . - L:ELABORATION fc16fe27b9e6454786ec4fd8dd9c5a8e - -fc16fe27b9e6454786ec4fd8dd9c5a8e 1 Pitch was my mother white . - +# Asser Levy Public Baths are in New York City of which New Netherland is a part . -### STEP 3) DO SENTENCE SIMPLIFICATION ### +d8fd1101321b40e39f398f4117da395c 0 Asser Levy Public Baths are in New York City of which New Netherland is a part . -DEACTIVATED -# Processing sentence 44/527 # +# Processing sentence 45/554 # -'He described his struggles as a young adult to reconcile social perceptions of his multiracial heritage.' +'Alfred Giles , architect of The Asher and Mary Isabelle Richardson House died in Kendall County , Texas .' ### Step 1) CREATE SENTENCE DISCOURSE TREE ### CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/PURPOSE (NULL, PurposePostExtractor) - ├───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - | ├───s───> 'This was as a young adult .' - | └───n───> 'He described his struggles .' - └────────s────────> 'This was to reconcile social perceptions of his multiracial heritage .' +└───n───> SUB/ELABORATION (NULL, NonRestrictiveAppositionExtractor) + ├───s───> CO/LIST (NULL, PostListNPExtractor) + | ├───n───> 'Alfred Giles was architect of The Asher .' + | └───n───> 'Alfred Giles was architect of Mary Isabelle Richardson House .' + └────────n────────> 'Alfred Giles died in Kendall County , Texas .' ### STEP 2) DO DISCOURSE EXTRACTION ### -# He described his struggles as a young adult to reconcile social perceptions of his multiracial heritage. +# Alfred Giles , architect of The Asher and Mary Isabelle Richardson House died in Kendall County , Texas . -ed011e3e841d4a9789238da4bebc8d13 0 He described his struggles . - S:UNKNOWN_SUBORDINATION This was as a young adult . - S:PURPOSE This was to reconcile social perceptions of his multiracial heritage . +204830d689844b4aa744d2d60d569c93 0 Alfred Giles died in Kendall County , Texas . + L:ELABORATION 763a04516d5942998fda1d3ce16f15ba + L:ELABORATION a3d4b406b79a45538d5dbf73b813e025 +763a04516d5942998fda1d3ce16f15ba 1 Alfred Giles was architect of The Asher . + L:LIST a3d4b406b79a45538d5dbf73b813e025 -### STEP 3) DO SENTENCE SIMPLIFICATION ### +a3d4b406b79a45538d5dbf73b813e025 1 Alfred Giles was architect of Mary Isabelle Richardson House . + L:LIST 763a04516d5942998fda1d3ce16f15ba -DEACTIVATED -# Processing sentence 45/527 # +# Processing sentence 46/554 # -'In 1963, Dunham met Lolo Soetoro at the University of Hawaii; he was an Indonesian East–West Center graduate student in geography.' +'The Akita Museum of Art is located in Akita Prefecture in Japan .' ### Step 1) CREATE SENTENCE DISCOURSE TREE ### CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> CO/UNKNOWN_COORDINATION (';', CoordinationExtractor) - ├───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - | ├───s───> 'This was in 1963 .' - | └───n───> 'Dunham met Lolo Soetoro at the University of Hawaii .' - └────────n────────> 'He was an Indonesian East -- West Center graduate student in geography .' +└───n───> 'The Akita Museum of Art is located in Akita Prefecture in Japan .' ### STEP 2) DO DISCOURSE EXTRACTION ### -# In 1963, Dunham met Lolo Soetoro at the University of Hawaii; he was an Indonesian East–West Center graduate student in geography. - -8a4792d278ba48d2bf16b988dcd69325 0 Dunham met Lolo Soetoro at the University of Hawaii . - S:TEMPORAL This was in 1963 . - -d818221d61e04f7c909ed3a7a1546458 0 He was an Indonesian East -- West Center graduate student in geography . +# The Akita Museum of Art is located in Akita Prefecture in Japan . +15f8f123a52d47bba0c2515139f1a9e7 0 The Akita Museum of Art is located in Akita Prefecture in Japan . -### STEP 3) DO SENTENCE SIMPLIFICATION ### -DEACTIVATED +# Processing sentence 47/554 # -# Processing sentence 46/527 # - -'The couple married on Molokai on March 15, 1965.' +'Alan Shepard was a test pilot who was born in New Hampshire on November 18th , 1923 .' ### Step 1) CREATE SENTENCE DISCOURSE TREE ### CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) - ├───s───> 'This was on March 15 , 1965 .' - └───n───> 'The couple married on Molokai .' +└───n───> SUB/IDENTIFYING_DEFINITION ('who', RestrictiveRelativeClauseWhoWhichExtractor) + ├───n───> 'Alan Shepard was a test pilot .' + └───s───> 'A test pilot was born in New Hampshire on November 18th , 1923 .' ### STEP 2) DO DISCOURSE EXTRACTION ### -# The couple married on Molokai on March 15, 1965. +# Alan Shepard was a test pilot who was born in New Hampshire on November 18th , 1923 . -9552b6d8229f42a2967ef7bac04b3508 0 The couple married on Molokai . - S:TEMPORAL This was on March 15 , 1965 . +ea707fc1e052492ca7487dcaa1b12d16 0 Alan Shepard was a test pilot . + L:IDENTIFYING_DEFINITION 402cc79851aa4102b8a98bd51e4fcf9a +402cc79851aa4102b8a98bd51e4fcf9a 1 A test pilot was born in New Hampshire on November 18th , 1923 . -### STEP 3) DO SENTENCE SIMPLIFICATION ### -DEACTIVATED +# Processing sentence 48/554 # -# Processing sentence 47/527 # - -'After two one-year extensions of his J-1 visa, Lolo returned to Indonesia in 1966.' +'The book `` A Fortress of Grey Ice '' was written by J V Jones , can be found in print and has 672 pages .' ### Step 1) CREATE SENTENCE DISCOURSE TREE ### CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) - ├────────s────────> 'This was in 1966 .' - └───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - ├───s───> 'This was after two one-year extensions of his J-1 visa .' - └───n───> 'Lolo returned to Indonesia .' +└───n───> CO/UNKNOWN_COORDINATION (NULL, SharedNPPostCoordinationExtractor) + ├───n───> 'The book `` A Fortress of Grey Ice '' was written by J V Jones .' + ├───n───> 'The book `` A Fortress of Grey Ice '' can be found in print .' + └───n───> 'The book `` A Fortress of Grey Ice '' has 672 pages .' ### STEP 2) DO DISCOURSE EXTRACTION ### -# After two one-year extensions of his J-1 visa, Lolo returned to Indonesia in 1966. +# The book `` A Fortress of Grey Ice '' was written by J V Jones , can be found in print and has 672 pages . -5dda3e0e107d42ab8aa394864f3362a0 0 Lolo returned to Indonesia . - S:TEMPORAL This was after two one-year extensions of his J-1 visa . - S:TEMPORAL This was in 1966 . +da94f8e0a1644c3192fd7b489bd0237a 0 The book `` A Fortress of Grey Ice '' was written by J V Jones . +68755f9411684c7b9c13516d8680fae2 0 The book `` A Fortress of Grey Ice '' can be found in print . -### STEP 3) DO SENTENCE SIMPLIFICATION ### +abcfa97127e849d0ba308998471fb6db 0 The book `` A Fortress of Grey Ice '' has 672 pages . -DEACTIVATED -# Processing sentence 48/527 # +# Processing sentence 49/554 # -'His wife and stepson followed sixteen months later in 1967.' +'Max Huiberts owns AZ Alkmaar which has 17023 members .' ### Step 1) CREATE SENTENCE DISCOURSE TREE ### CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> 'His wife and stepson followed sixteen months later in 1967 .' +└───n───> SUB/IDENTIFYING_DEFINITION ('which', RestrictiveRelativeClauseWhoWhichExtractor) + ├───n───> 'Max Huiberts owns AZ Alkmaar .' + └───s───> 'AZ Alkmaar has 17023 members .' ### STEP 2) DO DISCOURSE EXTRACTION ### -# His wife and stepson followed sixteen months later in 1967. +# Max Huiberts owns AZ Alkmaar which has 17023 members . -6cf1b5ec01af4ad7853859fde0c10662 0 His wife and stepson followed sixteen months later in 1967 . +0dbe648ca1e84d3890c0ffe6344ea9d2 0 Max Huiberts owns AZ Alkmaar . + L:IDENTIFYING_DEFINITION 84549a992422419fb0697e3ebbb2a6fc +84549a992422419fb0697e3ebbb2a6fc 1 AZ Alkmaar has 17023 members . -### STEP 3) DO SENTENCE SIMPLIFICATION ### -DEACTIVATED +# Processing sentence 50/554 # -# Processing sentence 49/527 # - -'The family initially lived in a Menteng Dalam neighborhood in the Tebet subdistrict of south Jakarta.' +'American Buzz Aldrin , who was born in Glen Ridge , New Jersey , was part of Apollo 11 and earlier in time , a fighter pilot .' ### Step 1) CREATE SENTENCE DISCOURSE TREE ### CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) - ├───s───> 'This was in the Tebet subdistrict of south Jakarta .' - └───n───> 'The family initially lived in a Menteng Dalam neighborhood .' +└───n───> SUB/DESCRIBING_DEFINITION ('who', NonRestrictiveRelativeClauseWhoWhichExtractor) + ├───n───> SUB/ELABORATION (NULL, NonRestrictiveAppositionExtractor) + | ├────────s────────> 'Time was a fighter pilot .' + | └───n───> CO/LIST (NULL, PostListNPExtractor) + | ├───n───> 'American Buzz Aldrin was part of Apollo 11 .' + | └───n───> 'American Buzz Aldrin was earlier in time .' + └────────s────────> SUB/ELABORATION (NULL, NonRestrictiveAppositionExtractor) + ├───s───> 'Glen Ridge was New Jersey .' + └───n───> 'American Buzz Aldrin was born in Glen Ridge .' ### STEP 2) DO DISCOURSE EXTRACTION ### -# The family initially lived in a Menteng Dalam neighborhood in the Tebet subdistrict of south Jakarta. +# American Buzz Aldrin , who was born in Glen Ridge , New Jersey , was part of Apollo 11 and earlier in time , a fighter pilot . -fdfa73c32b374e1e9ad1f51e0088627e 0 The family initially lived in a Menteng Dalam neighborhood . - S:SPATIAL This was in the Tebet subdistrict of south Jakarta . +679d1fac50b04041b387fdf9e1079376 0 American Buzz Aldrin was part of Apollo 11 . + L:LIST 033ac085de8447af970819db3efec13f + L:ELABORATION 339d8d881e5d46b3899651a27e88369b + L:DESCRIBING_DEFINITION d67d471404214c1cb2c078877861e754 +033ac085de8447af970819db3efec13f 0 American Buzz Aldrin was earlier in time . + L:LIST 679d1fac50b04041b387fdf9e1079376 + L:ELABORATION 339d8d881e5d46b3899651a27e88369b + L:DESCRIBING_DEFINITION d67d471404214c1cb2c078877861e754 -### STEP 3) DO SENTENCE SIMPLIFICATION ### +339d8d881e5d46b3899651a27e88369b 1 Time was a fighter pilot . -DEACTIVATED +d67d471404214c1cb2c078877861e754 1 American Buzz Aldrin was born in Glen Ridge . + L:ELABORATION 8a4d9c996677454ab5d6052921001e44 -# Processing sentence 50/527 # +8a4d9c996677454ab5d6052921001e44 2 Glen Ridge was New Jersey . -'From 1970, they lived in a wealthier neighborhood in the Menteng subdistrict of central Jakarta.' + +# Processing sentence 51/554 # + +'A.S. Livorno Calcio are managed by Christian Panucci who plays for A.S. Roma and is attached to the club Genoa CFC .' ### Step 1) CREATE SENTENCE DISCOURSE TREE ### CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) - ├────────s────────> 'This was in the Menteng subdistrict of central Jakarta .' - └───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - ├───s───> 'This was from 1970 .' - └───n───> 'They lived in a wealthier neighborhood .' +└───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) + ├─────────────s─────────────> 'Genoa CFC was the club .' + └───n───> SUB/IDENTIFYING_DEFINITION ('who', RestrictiveRelativeClauseWhoWhichExtractor) + ├────────n────────> 'A.S. Livorno Calcio are managed by Christian Panucci .' + └───s───> CO/LIST ('and', SharedNPPostCoordinationExtractor) + ├───n───> 'Christian Panucci plays for A.S. Roma .' + └───n───> 'Christian Panucci is attached to Genoa CFC .' ### STEP 2) DO DISCOURSE EXTRACTION ### -# From 1970, they lived in a wealthier neighborhood in the Menteng subdistrict of central Jakarta. +# A.S. Livorno Calcio are managed by Christian Panucci who plays for A.S. Roma and is attached to the club Genoa CFC . + +9dc98ba5665d40b794aaa9b34dbc894b 0 A.S. Livorno Calcio are managed by Christian Panucci . + L:IDENTIFYING_DEFINITION 0975ff8375df43c5b1e562ba8100e5ce + L:IDENTIFYING_DEFINITION 9735f8aca5144491ad1e6f70629557e0 + L:ELABORATION 57c7450817e24efa9a98622c2d338e1b -9b7000ab8626478b928ad8aeb20ff041 0 They lived in a wealthier neighborhood . - S:TEMPORAL This was from 1970 . - S:SPATIAL This was in the Menteng subdistrict of central Jakarta . +0975ff8375df43c5b1e562ba8100e5ce 1 Christian Panucci plays for A.S. Roma . + L:LIST 9735f8aca5144491ad1e6f70629557e0 +9735f8aca5144491ad1e6f70629557e0 1 Christian Panucci is attached to Genoa CFC . + L:LIST 0975ff8375df43c5b1e562ba8100e5ce -### STEP 3) DO SENTENCE SIMPLIFICATION ### +57c7450817e24efa9a98622c2d338e1b 1 Genoa CFC was the club . -DEACTIVATED -# Processing sentence 51/527 # +# Processing sentence 52/554 # -'From age six to ten, Obama attended local Indonesian-language schools: Sekolah Dasar Katolik Santo Fransiskus' +'These books by John Cowper Powys were published in the following order : A Glastonbury Romance , Weymouth Sands and Maiden Castle .' ### Step 1) CREATE SENTENCE DISCOURSE TREE ### CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - ├───s───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) - | ├───s───> 'This was to ten .' - | └───n───> 'This was from age six .' - └────────n────────> 'Obama attended local Indonesian-language schools : Sekolah Dasar Katolik Santo Fransiskus .' +└───n───> CO/LIST (NULL, PostListNPExtractor) + ├───n───> 'These books by John Cowper Powys were published in the following order .' + ├───n───> 'These books by John Cowper Powys were published in A Glastonbury Romance .' + ├───n───> 'These books by John Cowper Powys were published in Weymouth Sands .' + └───n───> 'These books by John Cowper Powys were published in Maiden Castle .' ### STEP 2) DO DISCOURSE EXTRACTION ### -# From age six to ten, Obama attended local Indonesian-language schools: Sekolah Dasar Katolik Santo Fransiskus +# These books by John Cowper Powys were published in the following order : A Glastonbury Romance , Weymouth Sands and Maiden Castle . -eeb5c426a6ab4954879a4c546fc45292 0 Obama attended local Indonesian-language schools : Sekolah Dasar Katolik Santo Fransiskus . - L:TEMPORAL e57336b84fce4c11a2ac6c719fe0960e +4dcfc1ee82d841b4a6b15c8689ba95e4 0 These books by John Cowper Powys were published in the following order . + L:LIST f7355a7cb8b644c8ad230bede73b4728 + L:LIST dfbabe36b1b04c058965fe47f45fe5b3 + L:LIST d799d62373fb49638a1aa42f758091c2 -e57336b84fce4c11a2ac6c719fe0960e 1 This was from age six . - S:TEMPORAL This was to ten . +f7355a7cb8b644c8ad230bede73b4728 0 These books by John Cowper Powys were published in A Glastonbury Romance . + L:LIST dfbabe36b1b04c058965fe47f45fe5b3 + L:LIST d799d62373fb49638a1aa42f758091c2 + L:LIST 4dcfc1ee82d841b4a6b15c8689ba95e4 +dfbabe36b1b04c058965fe47f45fe5b3 0 These books by John Cowper Powys were published in Weymouth Sands . + L:LIST d799d62373fb49638a1aa42f758091c2 + L:LIST 4dcfc1ee82d841b4a6b15c8689ba95e4 + L:LIST f7355a7cb8b644c8ad230bede73b4728 -### STEP 3) DO SENTENCE SIMPLIFICATION ### +d799d62373fb49638a1aa42f758091c2 0 These books by John Cowper Powys were published in Maiden Castle . + L:LIST 4dcfc1ee82d841b4a6b15c8689ba95e4 + L:LIST f7355a7cb8b644c8ad230bede73b4728 + L:LIST dfbabe36b1b04c058965fe47f45fe5b3 -DEACTIVATED -# Processing sentence 52/527 # +# Processing sentence 53/554 # -'Asisi (St. Francis of Assisi Catholic Elementary School) for two years and Sekolah Dasar Negeri Menteng 01' +'Elliot See was born in Dallas in the United States and died in St Louis .' ### Step 1) CREATE SENTENCE DISCOURSE TREE ### CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> 'Asisi -LRB- St. Francis of Assisi Catholic Elementary School -RRB- for two years and Sekolah Dasar Negeri Menteng 01' +└───n───> CO/LIST ('and', SharedNPPostCoordinationExtractor) + ├───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) + | ├───s───> 'This was in the United States .' + | └───n───> 'Elliot See was born in Dallas .' + └────────n────────> 'Elliot See was died in St Louis .' ### STEP 2) DO DISCOURSE EXTRACTION ### -# Asisi (St. Francis of Assisi Catholic Elementary School) for two years and Sekolah Dasar Negeri Menteng 01 - -dc4753735b8e4df19e718ff1294c6032 0 Asisi -LRB- St. Francis of Assisi Catholic Elementary School -RRB- for two years and Sekolah Dasar Negeri Menteng 01 +# Elliot See was born in Dallas in the United States and died in St Louis . +5eb62781071442918f5e358af76c499e 0 Elliot See was born in Dallas . + S:SPATIAL This was in the United States . + L:LIST f668d41e6ba54a71ac0fa34f1d9bc04b -### STEP 3) DO SENTENCE SIMPLIFICATION ### +f668d41e6ba54a71ac0fa34f1d9bc04b 0 Elliot See was died in St Louis . + L:LIST 5eb62781071442918f5e358af76c499e -DEACTIVATED -# Processing sentence 53/527 # +# Processing sentence 54/554 # -'(State Elementary School Menteng 01/Besuki' +'1634 The Ram Rebellion comes from the United States where one of the ethnic groups are the Native Americans and the leader is known as the President .' ### Step 1) CREATE SENTENCE DISCOURSE TREE ### CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> '-LRB- State Elementary School Menteng 01/Besuki' +└───n───> SUB/IDENTIFYING_DEFINITION ('', RestrictiveRelativeClauseWithoutRelativePronounExtractor) + ├─────────────n─────────────> '1634 is known as the President .' + └───s───> SUB/ELABORATION ('where', SubordinationPostExtractor) + ├───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) + | ├───s───> 'This is from the United States .' + | └───n───> 'The Ram Rebellion comes 1634 .' + └───s───> CO/LIST (NULL, PostListNPExtractor) + ├───n───> 'One of the ethnic groups are the Native Americans .' + └───n───> 'One of the ethnic groups are the leader .' ### STEP 2) DO DISCOURSE EXTRACTION ### -# (State Elementary School Menteng 01/Besuki +# 1634 The Ram Rebellion comes from the United States where one of the ethnic groups are the Native Americans and the leader is known as the President . + +992cb8bbe93545e3b4f98704792b7bdc 0 1634 is known as the President . + L:IDENTIFYING_DEFINITION 60280b98805948cbabac6a76d672e0f0 -f8639320f52d4f28813a79e8ff951440 0 -LRB- State Elementary School Menteng 01/Besuki +60280b98805948cbabac6a76d672e0f0 1 The Ram Rebellion comes 1634 . + S:SPATIAL This is from the United States . + L:ELABORATION e6db716231a6442bbf90cac19007509d + L:ELABORATION e6051c50de584b6b8ee69bfcd1b20500 +e6db716231a6442bbf90cac19007509d 2 One of the ethnic groups are the Native Americans . + L:LIST e6051c50de584b6b8ee69bfcd1b20500 -### STEP 3) DO SENTENCE SIMPLIFICATION ### +e6051c50de584b6b8ee69bfcd1b20500 2 One of the ethnic groups are the leader . + L:LIST e6db716231a6442bbf90cac19007509d -DEACTIVATED -# Processing sentence 54/527 # +# Processing sentence 55/554 # -'Public School) for one and a half years, supplemented by English-language Calvert School homeschooling by his mother.' +'AFC Ajax 's manager is Frank de Boer , who played for the Ajax Youth Academy .' ### Step 1) CREATE SENTENCE DISCOURSE TREE ### CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - ├───s───> 'This was by his mother .' - └───n───> 'Public School -RRB- for one and a half years , supplemented by English-language Calvert School homeschooling .' +└───n───> SUB/DESCRIBING_DEFINITION ('who', NonRestrictiveRelativeClauseWhoWhichExtractor) + ├───n───> 'AFC Ajax 's manager is Frank de Boer .' + └───s───> 'Frank de Boer played for the Ajax Youth Academy .' ### STEP 2) DO DISCOURSE EXTRACTION ### -# Public School) for one and a half years, supplemented by English-language Calvert School homeschooling by his mother. +# AFC Ajax 's manager is Frank de Boer , who played for the Ajax Youth Academy . -91e477001aa7478789d4af0cf20df1e0 0 Public School -RRB- for one and a half years , supplemented by English-language Calvert School homeschooling . - S:UNKNOWN_SUBORDINATION This was by his mother . +2d1778ba16d74ac3bb5f92376249dff8 0 AFC Ajax 's manager is Frank de Boer . + L:DESCRIBING_DEFINITION 18616b95a5414c91950c7c41ae481ed0 +18616b95a5414c91950c7c41ae481ed0 1 Frank de Boer played for the Ajax Youth Academy . -### STEP 3) DO SENTENCE SIMPLIFICATION ### -DEACTIVATED +# Processing sentence 56/554 # -# Processing sentence 55/527 # - -'As a result of those four years in Jakarta, he was able to speak Indonesian fluently as a child.' +'The Administrative Science Quarterly -LRB- abbrv. Admin. Sci. Q , ISSN : 0001-8392 , LCCN : 57059226 -RRB- comes under the academic discipline of Management .' ### Step 1) CREATE SENTENCE DISCOURSE TREE ### CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/SPATIAL (NULL, PrepositionalInitialExtractor) - ├───s───> 'This was as a result of those four years in Jakarta .' - └───n───> 'He was able to speak Indonesian fluently as a child .' +└───n───> 'The Administrative Science Quarterly -LRB- abbrv . Admin . Sci . Q , ISSN : 0001-8392 , LCCN : 57059226 -RRB- comes under the academic discipline of Management .' ### STEP 2) DO DISCOURSE EXTRACTION ### -# As a result of those four years in Jakarta, he was able to speak Indonesian fluently as a child. - -8135a399f01e471ca7e7de2c81f72eae 0 He was able to speak Indonesian fluently as a child . - S:SPATIAL This was as a result of those four years in Jakarta . +# The Administrative Science Quarterly -LRB- abbrv. Admin. Sci. Q , ISSN : 0001-8392 , LCCN : 57059226 -RRB- comes under the academic discipline of Management . +35fb52779bec4344a1202aae73c551a7 0 The Administrative Science Quarterly -LRB- abbrv . Admin . Sci . Q , ISSN : 0001-8392 , LCCN : 57059226 -RRB- comes under the academic discipline of Management . -### STEP 3) DO SENTENCE SIMPLIFICATION ### -DEACTIVATED +# Processing sentence 57/554 # -# Processing sentence 56/527 # - -'During his time in Indonesia, Obama's step-father taught him to be resilient and gave him a pretty hardheaded assessment of how the world works.' +'AZAL PFK has 3500 members and competed in the 2014season .' ### Step 1) CREATE SENTENCE DISCOURSE TREE ### CO/UNKNOWN_COORDINATION (NULL, ROOT) └───n───> CO/LIST ('and', SharedNPPostCoordinationExtractor) - ├───n───> SUB/SPATIAL (NULL, PrepositionalInitialExtractor) - | ├───s───> 'This was during his time in Indonesia .' - | └───n───> 'Obama 's step-father taught him to be resilient .' - └───n───> SUB/SPATIAL (NULL, PrepositionalInitialExtractor) - ├───s───> 'This was during his time in Indonesia .' - └───n───> 'Obama 's step-father gave him a pretty hardheaded assessment of how the world works .' + ├───n───> 'AZAL PFK has 3500 members .' + └───n───> 'AZAL PFK competed in the 2014season .' ### STEP 2) DO DISCOURSE EXTRACTION ### -# During his time in Indonesia, Obama's step-father taught him to be resilient and gave him a pretty hardheaded assessment of how the world works. - -efc311677d844cafa8b1f6d2ef288277 0 Obama 's step-father taught him to be resilient . - S:SPATIAL This was during his time in Indonesia . - L:LIST e1acac9033044a53941387c3a04d59f6 +# AZAL PFK has 3500 members and competed in the 2014season . -e1acac9033044a53941387c3a04d59f6 0 Obama 's step-father gave him a pretty hardheaded assessment of how the world works . - S:SPATIAL This was during his time in Indonesia . - L:LIST efc311677d844cafa8b1f6d2ef288277 +fe7edeea041c4328b70cf7cca20985ac 0 AZAL PFK has 3500 members . + L:LIST 8ff03056e1444646bbecff858ab5ac6a +8ff03056e1444646bbecff858ab5ac6a 0 AZAL PFK competed in the 2014season . + L:LIST fe7edeea041c4328b70cf7cca20985ac -### STEP 3) DO SENTENCE SIMPLIFICATION ### -DEACTIVATED +# Processing sentence 58/554 # -# Processing sentence 57/527 # - -'In 1971, Obama returned to Honolulu to live with his maternal grandparents, Madelyn and Stanley Dunham.' +'ACM Trans. Inf. Syst. is the abbreviation of ACM Transactions on Information Systems which is part of the academic Discipline of Computer Science .' ### Step 1) CREATE SENTENCE DISCOURSE TREE ### CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/PURPOSE (NULL, PurposePostExtractor) - ├───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - | ├───s───> 'This was in 1971 .' - | └───n───> 'Obama returned to Honolulu .' - └────────s────────> 'This was to live with his maternal grandparents , Madelyn and Stanley Dunham .' +└───n───> SUB/IDENTIFYING_DEFINITION ('which', RestrictiveRelativeClauseWhoWhichExtractor) + ├───n───> 'ACM Trans . Inf . Syst . is the abbreviation of ACM Transactions on Information Systems .' + └───s───> 'The abbreviation of ACM Transactions on Information Systems is part of the academic Discipline of Computer Science .' ### STEP 2) DO DISCOURSE EXTRACTION ### -# In 1971, Obama returned to Honolulu to live with his maternal grandparents, Madelyn and Stanley Dunham. - -a8c61cbadb424d4f8fedb8f82886f7d6 0 Obama returned to Honolulu . - S:TEMPORAL This was in 1971 . - S:PURPOSE This was to live with his maternal grandparents , Madelyn and Stanley Dunham . +# ACM Trans. Inf. Syst. is the abbreviation of ACM Transactions on Information Systems which is part of the academic Discipline of Computer Science . +101a8e54de64457781162f75e7236b2e 0 ACM Trans . Inf . Syst . is the abbreviation of ACM Transactions on Information Systems . + L:IDENTIFYING_DEFINITION 9b29c8a3ee8145aab1604dfcbaec9c6e -### STEP 3) DO SENTENCE SIMPLIFICATION ### +9b29c8a3ee8145aab1604dfcbaec9c6e 1 The abbreviation of ACM Transactions on Information Systems is part of the academic Discipline of Computer Science . -DEACTIVATED -# Processing sentence 58/527 # +# Processing sentence 59/554 # -'He attended Punahou School, a private college preparatory school, with the aid of a scholarship from fifth grade until he graduated from high school in 1979.' +'The book Alcatraz Versus the Evil Librarians is in print and has the ISBN number 0-439-92550-9 as well as the OCLC number of 7877110 .' ### Step 1) CREATE SENTENCE DISCOURSE TREE ### CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/ELABORATION (NULL, NonRestrictiveAppositionExtractor) - ├─────────────s─────────────> 'Punahou School was a private college preparatory school .' - └───n───> SUB/CONDITION ('until', SubordinationPostExtractor) - ├───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - | ├───s───> 'This was with the aid of a scholarship .' - | └───n───> 'He attended Punahou School from fifth grade .' - └───s───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) - ├───s───> 'This was in 1979 .' - └───n───> 'He graduated from high school .' +└───n───> CO/LIST ('and', SharedNPPostCoordinationExtractor) + ├───n───> SUB/UNKNOWN_SUBORDINATION ('', SubordinationPostExtractor) + | ├───n───> 'The book Alcatraz Versus .' + | └───s───> 'The Evil Librarians is in print .' + └───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) + ├───s───> 'Alcatraz is The book .' + └───n───> 'Alcatraz has the ISBN number 0-439-92550-9 as well as the OCLC number of 7877110 .' ### STEP 2) DO DISCOURSE EXTRACTION ### -# He attended Punahou School, a private college preparatory school, with the aid of a scholarship from fifth grade until he graduated from high school in 1979. - -35d9527990784d4cb2b6cd1775b8739e 0 He attended Punahou School from fifth grade . - S:UNKNOWN_SUBORDINATION This was with the aid of a scholarship . - L:CONDITION 6618aeefb3414fe5bc0c5db5b0f369fc - L:ELABORATION 7f66294306b8430da5808999c5341c27 +# The book Alcatraz Versus the Evil Librarians is in print and has the ISBN number 0-439-92550-9 as well as the OCLC number of 7877110 . -6618aeefb3414fe5bc0c5db5b0f369fc 1 He graduated from high school . - S:TEMPORAL This was in 1979 . +2840be97ef6d47828ec0bf88cdd7c968 0 The book Alcatraz Versus . + L:UNKNOWN_SUBORDINATION 5ed84b2829c84ba38657491b13f4f550 + L:LIST f70e823f6855447c9b490906862ccd0f -7f66294306b8430da5808999c5341c27 1 Punahou School was a private college preparatory school . +5ed84b2829c84ba38657491b13f4f550 1 The Evil Librarians is in print . +f70e823f6855447c9b490906862ccd0f 0 Alcatraz has the ISBN number 0-439-92550-9 as well as the OCLC number of 7877110 . + L:ELABORATION 905cb7bf3a2f4fcba83927bff09eece7 + L:LIST 2840be97ef6d47828ec0bf88cdd7c968 -### STEP 3) DO SENTENCE SIMPLIFICATION ### +905cb7bf3a2f4fcba83927bff09eece7 1 Alcatraz is The book . -DEACTIVATED -# Processing sentence 59/527 # +# Processing sentence 60/554 # -'In his youth, Obama went by the nickname Barry.' +'Amdavad ni Gufa can be found in Gujarat which is in the Indian city of Ahmedabad .' ### Step 1) CREATE SENTENCE DISCOURSE TREE ### CO/UNKNOWN_COORDINATION (NULL, ROOT) └───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) - ├────────s────────> 'Barry was the nickname .' - └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalInitialExtractor) - ├───s───> 'This was in his youth .' - └───n───> 'Obama went by Barry .' + ├────────s────────> 'Gufa was Amdavad ni .' + └───n───> SUB/IDENTIFYING_DEFINITION ('which', RestrictiveRelativeClauseWhoWhichExtractor) + ├───n───> 'Gufa can be found in Gujarat .' + └───s───> 'Gujarat is in the Indian city of Ahmedabad .' ### STEP 2) DO DISCOURSE EXTRACTION ### -# In his youth, Obama went by the nickname Barry. - -6127a4df04894d0ab41c056292e0aeb2 0 Obama went by Barry . - S:UNKNOWN_SUBORDINATION This was in his youth . - L:ELABORATION 323a450720a34570aefefdf9b576cf4d +# Amdavad ni Gufa can be found in Gujarat which is in the Indian city of Ahmedabad . -323a450720a34570aefefdf9b576cf4d 1 Barry was the nickname . +9b581688b09a49929b00644416071057 0 Gufa can be found in Gujarat . + L:IDENTIFYING_DEFINITION 2321a6915d574affa44d34243230120f + L:ELABORATION 5be6b4f819d94ccd9fad3850fa0ca0b8 +2321a6915d574affa44d34243230120f 1 Gujarat is in the Indian city of Ahmedabad . -### STEP 3) DO SENTENCE SIMPLIFICATION ### +5be6b4f819d94ccd9fad3850fa0ca0b8 1 Gufa was Amdavad ni . -DEACTIVATED -# Processing sentence 60/527 # +# Processing sentence 61/554 # -'Obama lived with his mother and half-sister, Maya Soetoro, in Hawaii for three years from 1972 to 1975 while his mother was a graduate student in anthropology at the University of Hawaii.' +'A.C. Lumezzane , with 4150 members , plays in the Lega Pro and were active in 2014 .' ### Step 1) CREATE SENTENCE DISCOURSE TREE ### CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/ELABORATION (NULL, NonRestrictiveAppositionExtractor) - ├──────────────────s──────────────────> 'Maya Soetoro was his mother and half-sister .' - └───n───> CO/CONTRAST ('while', SubordinationPostExtractor) - ├───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) - | ├────────s────────> 'This was in Hawaii .' - | └───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) - | ├───s───> 'This was for three years from 1972 to 1975 .' - | └───n───> 'Obama lived with his mother and half-sister .' - └────────n────────> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - ├───s───> 'This was at the University of Hawaii .' - └───n───> 'His mother was a graduate student in anthropology .' +└───n───> CO/LIST ('and', SharedNPPostCoordinationExtractor) + ├───n───> SUB/TEMPORAL (NULL, PrepositionalMiddleFinalExtractor) + | ├───s───> 'This is with 4150 members .' + | └───n───> 'A.C. Lumezzane plays in the Lega Pro .' + └───n───> SUB/TEMPORAL (NULL, PrepositionalMiddleFinalExtractor) + ├───s───> 'This was with 4150 members .' + └───n───> 'A.C. Lumezzane were active in 2014 .' ### STEP 2) DO DISCOURSE EXTRACTION ### -# Obama lived with his mother and half-sister, Maya Soetoro, in Hawaii for three years from 1972 to 1975 while his mother was a graduate student in anthropology at the University of Hawaii. - -965dab0b517148358a07ae24d4a30d2e 0 Obama lived with his mother and half-sister . - S:TEMPORAL This was for three years from 1972 to 1975 . - S:SPATIAL This was in Hawaii . - L:CONTRAST ca8c0cf95cff468c967fecc4dc8a37fd - L:ELABORATION f1e2568743834f1f8e4c201f50abd4ff +# A.C. Lumezzane , with 4150 members , plays in the Lega Pro and were active in 2014 . -ca8c0cf95cff468c967fecc4dc8a37fd 0 His mother was a graduate student in anthropology . - S:UNKNOWN_SUBORDINATION This was at the University of Hawaii . - L:CONTRAST 965dab0b517148358a07ae24d4a30d2e - L:ELABORATION f1e2568743834f1f8e4c201f50abd4ff +8321ee52dcf84ab0be9b938588cdafc7 0 A.C. Lumezzane plays in the Lega Pro . + S:TEMPORAL This is with 4150 members . + L:LIST cec5d376113f4ec39ae814bbe3a32217 -f1e2568743834f1f8e4c201f50abd4ff 1 Maya Soetoro was his mother and half-sister . +cec5d376113f4ec39ae814bbe3a32217 0 A.C. Lumezzane were active in 2014 . + S:TEMPORAL This was with 4150 members . + L:LIST 8321ee52dcf84ab0be9b938588cdafc7 -### STEP 3) DO SENTENCE SIMPLIFICATION ### +# Processing sentence 62/554 # -DEACTIVATED - -# Processing sentence 61/527 # - -'Obama chose to stay in Hawaii with his grandparents for high school at Punahou when his mother and half-sister returned to Indonesia in 1975 so his mother could begin anthropology field work.' +'The architect of Adare Manor is Augustus Pugin , whose birthplace is Bloomsbury .' ### Step 1) CREATE SENTENCE DISCOURSE TREE ### CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) - ├───s───> 'This was with his grandparents for high school at Punahou .' - └───n───> 'Obama chose to stay in Hawaii when his mother and half-sister returned to Indonesia in 1975 so his mother could begin anthropology field work .' +└───n───> SUB/DESCRIBING_DEFINITION (NULL, NonRestrictiveRelativeClauseWhoseExtractor) + ├───n───> 'The architect of Adare Manor is Augustus Pugin .' + └───s───> 'Augustus Pugin 's birthplace is Bloomsbury .' ### STEP 2) DO DISCOURSE EXTRACTION ### -# Obama chose to stay in Hawaii with his grandparents for high school at Punahou when his mother and half-sister returned to Indonesia in 1975 so his mother could begin anthropology field work. - -0058f6ea744f44268f55cdef4eeec725 0 Obama chose to stay in Hawaii when his mother and half-sister returned to Indonesia in 1975 so his mother could begin anthropology field work . - S:SPATIAL This was with his grandparents for high school at Punahou . +# The architect of Adare Manor is Augustus Pugin , whose birthplace is Bloomsbury . +7017716ce4264e559e332206b6641ce4 0 The architect of Adare Manor is Augustus Pugin . + L:DESCRIBING_DEFINITION ddd6af0d0365408aa14c62b456efae14 -### STEP 3) DO SENTENCE SIMPLIFICATION ### +ddd6af0d0365408aa14c62b456efae14 1 Augustus Pugin 's birthplace is Bloomsbury . -DEACTIVATED -# Processing sentence 62/527 # +# Processing sentence 63/554 # -'His mother spent most of the next two decades in Indonesia, divorcing Lolo in 1980 and earning a PhD degree in 1992, before dying in 1995 in Hawaii following unsuccessful treatment for ovarian and uterine cancer.' +'Owned by Live Nation Entertainment , 3Arena can be found in Dublin in the Republic of Ireland , a Republic run by Lord Mayor Críona Ní Dhálaigh .' ### Step 1) CREATE SENTENCE DISCOURSE TREE ### CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> CO/UNKNOWN_COORDINATION (NULL, SharedNPPostParticipalExtractor) - ├─────────────n─────────────> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) - | ├───s───> 'This was in Indonesia .' - | └───n───> 'His mother spent most of the next two decades .' - └───n───> CO/LIST ('and', SharedNPPostCoordinationExtractor) - ├─────────────n─────────────> 'His mother was divorcing Lolo in 1980 .' - └───n───> SUB/TEMPORAL_AFTER (NULL, SharedNPPostParticipalExtractor) - ├───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) - | ├───s───> 'This was in 1992 .' - | └───n───> 'His mother was earning a PhD degree .' - └───s───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) - ├───s───> 'This was in Hawaii following unsuccessful treatment for ovarian and uterine cancer .' - └───n───> 'His mother was dying in 1995 .' +└───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) + ├──────────────────s──────────────────> 'Críona Ní Dhálaigh is Lord Mayor .' + └───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) + ├─────────────s─────────────> 'This is in the Republic of Ireland .' + └───n───> SUB/ELABORATION (NULL, NonRestrictiveAppositionExtractor) + ├────────s────────> 'A Republic run by Críona Ní Dhálaigh was Dublin .' + └───n───> CO/UNKNOWN_COORDINATION ('', SharedNPPreParticipalExtractor) + ├───n───> '3Arena were owned by Live Nation Entertainment .' + └───n───> '3Arena can be found in Dublin .' ### STEP 2) DO DISCOURSE EXTRACTION ### -# His mother spent most of the next two decades in Indonesia, divorcing Lolo in 1980 and earning a PhD degree in 1992, before dying in 1995 in Hawaii following unsuccessful treatment for ovarian and uterine cancer. +# Owned by Live Nation Entertainment , 3Arena can be found in Dublin in the Republic of Ireland , a Republic run by Lord Mayor Críona Ní Dhálaigh . -03c245cb572240fca911041e071e70b6 0 His mother spent most of the next two decades . - S:SPATIAL This was in Indonesia . +20823066a7ed45889ec3713e5e6c5b6a 0 3Arena were owned by Live Nation Entertainment . + S:SPATIAL This is in the Republic of Ireland . + L:ELABORATION 42ff94be39de43ee9c44b88089f1563f + L:ELABORATION 7f1ebfc0f6f84c90a04a539809622186 -4f3fc98441ac43ae9dc173c9c6f87810 0 His mother was divorcing Lolo in 1980 . - L:LIST d52bc8301ec24e3eb4211a1f2170c5b9 +486d24f4132342239b266873a8c618e0 0 3Arena can be found in Dublin . + S:SPATIAL This is in the Republic of Ireland . + L:ELABORATION 42ff94be39de43ee9c44b88089f1563f + L:ELABORATION 7f1ebfc0f6f84c90a04a539809622186 -d52bc8301ec24e3eb4211a1f2170c5b9 0 His mother was earning a PhD degree . - S:TEMPORAL This was in 1992 . - L:TEMPORAL_AFTER 234cc7be040443a9afe6f91e98d82d96 - L:LIST 4f3fc98441ac43ae9dc173c9c6f87810 +42ff94be39de43ee9c44b88089f1563f 1 A Republic run by Críona Ní Dhálaigh was Dublin . -234cc7be040443a9afe6f91e98d82d96 1 His mother was dying in 1995 . - S:SPATIAL This was in Hawaii following unsuccessful treatment for ovarian and uterine cancer . +7f1ebfc0f6f84c90a04a539809622186 1 Críona Ní Dhálaigh is Lord Mayor . -### STEP 3) DO SENTENCE SIMPLIFICATION ### +# Processing sentence 64/554 # -DEACTIVATED - -# Processing sentence 63/527 # - -'Obama later reflected on his years in Honolulu and wrote: The opportunity that Hawaii offered – to experience a variety of cultures in a climate of mutual respect – became an integral part of my world view, and a basis for the values that I hold most dear.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> CO/UNKNOWN_COORDINATION (':', CoordinationExtractor) - ├───n───> CO/LIST ('and', SharedNPPostCoordinationExtractor) - | ├───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) - | | ├───s───> 'This was in Honolulu .' - | | └───n───> 'Obama later reflected on his years .' - | └────────n────────> 'Obama later wrote .' - └───n───> SUB/UNKNOWN_SUBORDINATION ('that', SubordinationPostExtractor) - ├───n───> CO/LIST (NULL, PostListNPExtractor) - | ├───n───> 'The opportunity that Hawaii offered -- to experience a variety of cultures in a climate of mutual respect -- became an integral part of my world view .' - | └───n───> 'The opportunity that Hawaii offered -- to experience a variety of cultures in a climate of mutual respect -- became a basis for the values .' - └────────s────────> 'I hold most dear .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# Obama later reflected on his years in Honolulu and wrote: The opportunity that Hawaii offered – to experience a variety of cultures in a climate of mutual respect – became an integral part of my world view, and a basis for the values that I hold most dear. - -972b47d056804b11a4cae4c288cb3e77 0 Obama later reflected on his years . - S:SPATIAL This was in Honolulu . - L:LIST 5c0183442db54a9093ee80adbfdbff21 - -5c0183442db54a9093ee80adbfdbff21 0 Obama later wrote . - L:LIST 972b47d056804b11a4cae4c288cb3e77 - -999b137bbfff4c11bc599a4b46a9e588 0 The opportunity that Hawaii offered -- to experience a variety of cultures in a climate of mutual respect -- became an integral part of my world view . - L:LIST b9c820187db24445b6bec181aed4cc9d - L:UNKNOWN_SUBORDINATION e7fd9c692d7341ef928b7cc4627371f4 - -b9c820187db24445b6bec181aed4cc9d 0 The opportunity that Hawaii offered -- to experience a variety of cultures in a climate of mutual respect -- became a basis for the values . - L:LIST 999b137bbfff4c11bc599a4b46a9e588 - L:UNKNOWN_SUBORDINATION e7fd9c692d7341ef928b7cc4627371f4 - -e7fd9c692d7341ef928b7cc4627371f4 1 I hold most dear . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 64/527 # - -'Obama has also written and talked about using alcohol, marijuana, and cocaine during his teenage years to push questions of who I was out of my mind.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> 'Obama has also written and talked about using alcohol , marijuana , and cocaine during his teenage years to push questions of who I was out of my mind .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# Obama has also written and talked about using alcohol, marijuana, and cocaine during his teenage years to push questions of who I was out of my mind. - -6031a1cc75214532adf4fa3cece6b6ed 0 Obama has also written and talked about using alcohol , marijuana , and cocaine during his teenage years to push questions of who I was out of my mind . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 65/527 # - -'Obama was also a member of the choom gang, a self-named group of friends that spent time together and occasionally smoked marijuana.' +'A.S Roma has 70634 members and their ground is Stadio Olimpico .' ### Step 1) CREATE SENTENCE DISCOURSE TREE ### CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/ELABORATION (NULL, NonRestrictiveAppositionExtractor) - ├───s───> SUB/IDENTIFYING_DEFINITION ('that', RestrictiveRelativeClauseWhoWhichExtractor) - | ├────────n────────> 'The choom gang was a self-named group of friends .' - | └───s───> CO/LIST ('and', SharedNPPostCoordinationExtractor) - | ├───n───> 'Friends spent time together .' - | └───n───> 'Friends occasionally smoked marijuana .' - └─────────────n─────────────> 'Obama was also a member of the choom gang .' +└───n───> CO/LIST ('and', CoordinationExtractor) + ├───n───> 'A.S Roma has 70634 members .' + └───n───> 'Their ground is Stadio Olimpico .' ### STEP 2) DO DISCOURSE EXTRACTION ### -# Obama was also a member of the choom gang, a self-named group of friends that spent time together and occasionally smoked marijuana. - -0aa2c68933f54d29ab6faa1773725270 0 Obama was also a member of the choom gang . - L:ELABORATION 781a9932524f484f93e63a47d88353e4 - -781a9932524f484f93e63a47d88353e4 1 The choom gang was a self-named group of friends . - L:IDENTIFYING_DEFINITION 4fe6dc89f37f4974960a902f63d93421 - L:IDENTIFYING_DEFINITION 450e21014582484f8ef6c89f20164dd0 +# A.S Roma has 70634 members and their ground is Stadio Olimpico . -4fe6dc89f37f4974960a902f63d93421 2 Friends spent time together . - L:LIST 450e21014582484f8ef6c89f20164dd0 +1423685e5a7a4de3bc4f74c84d7f16c6 0 A.S Roma has 70634 members . + L:LIST 1ea4cf05ddaf4ff4b587d6ca6f411048 -450e21014582484f8ef6c89f20164dd0 2 Friends occasionally smoked marijuana . - L:LIST 4fe6dc89f37f4974960a902f63d93421 +1ea4cf05ddaf4ff4b587d6ca6f411048 0 Their ground is Stadio Olimpico . + L:LIST 1423685e5a7a4de3bc4f74c84d7f16c6 -### STEP 3) DO SENTENCE SIMPLIFICATION ### +# Processing sentence 65/554 # -DEACTIVATED - -# Processing sentence 66/527 # - -'After graduating from high school in 1979, Obama moved to Los Angeles to attend Occidental College.' +'There are many aspects of United States culture , from the title A Wizard of Mars , to the Native American , to the President Barack Obama , to the English language which is also spoken in Britain .' ### Step 1) CREATE SENTENCE DISCOURSE TREE ### CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/TEMPORAL_BEFORE ('After', SharedNPPreParticipalExtractor) - ├────────s────────> 'Obama was graduating from high school in 1979 .' - └───n───> SUB/PURPOSE (NULL, PurposePostExtractor) - ├───n───> 'Obama moved to Los Angeles .' - └───s───> 'This was to attend Occidental College .' +└───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) + ├────────────────────────────s────────────────────────────> 'Barack Obama was the President .' + └───n───> SUB/IDENTIFYING_DEFINITION ('which', RestrictiveRelativeClauseWhoWhichExtractor) + ├───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + | ├──────────────────s──────────────────> 'This is to Barack Obama .' + | └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + | ├─────────────s─────────────> 'This is to the English language .' + | └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalMiddleFinalExtractor) + | ├────────s────────> 'This is to the Native American .' + | └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalMiddleFinalExtractor) + | ├───s───> 'This is from the title .' + | └───n───> 'There are many aspects of United States culture A Wizard of Mars .' + └───────────────────────s───────────────────────> 'The English language is also spoken in Britain .' ### STEP 2) DO DISCOURSE EXTRACTION ### -# After graduating from high school in 1979, Obama moved to Los Angeles to attend Occidental College. +# There are many aspects of United States culture , from the title A Wizard of Mars , to the Native American , to the President Barack Obama , to the English language which is also spoken in Britain . -2bf6c8f0ba5e4b309f6032854ede3ac3 0 Obama moved to Los Angeles . - S:PURPOSE This was to attend Occidental College . - L:TEMPORAL_BEFORE 98d0368acb15429c87f3e98323304557 +bf63089e4638457d937a81ac53a112d5 0 There are many aspects of United States culture A Wizard of Mars . + S:UNKNOWN_SUBORDINATION This is from the title . + S:UNKNOWN_SUBORDINATION This is to the Native American . + S:UNKNOWN_SUBORDINATION This is to the English language . + S:UNKNOWN_SUBORDINATION This is to Barack Obama . + L:IDENTIFYING_DEFINITION ba494f200a4e48a5919e005b53b99527 + L:ELABORATION 5f93209ad6974d5c8ea2c807807aeffe -98d0368acb15429c87f3e98323304557 1 Obama was graduating from high school in 1979 . +ba494f200a4e48a5919e005b53b99527 1 The English language is also spoken in Britain . +5f93209ad6974d5c8ea2c807807aeffe 1 Barack Obama was the President . -### STEP 3) DO SENTENCE SIMPLIFICATION ### -DEACTIVATED +# Processing sentence 66/554 # -# Processing sentence 67/527 # - -'In February 1981, Obama made his first public speech, calling for Occidental to participate in the disinvestment from South Africa in response to that nation's policy of apartheid.' +'A Wizard of Mars was published in English -LRB- language of Great Britain -RRB- in the United States , where the leader is called a `` president '' and part of the population is African American .' ### Step 1) CREATE SENTENCE DISCOURSE TREE ### CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> CO/UNKNOWN_COORDINATION (NULL, SharedNPPostParticipalExtractor) - ├────────n────────> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - | ├───s───> 'This was in February 1981 .' - | └───n───> 'Obama made his first public speech .' - └───n───> SUB/PURPOSE (NULL, PurposePostExtractor) - ├───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - | ├───s───> 'This was in February 1981 .' - | └───n───> 'Obama was calling for Occidental .' - └────────s────────> 'This was to participate in the disinvestment from South Africa in response to that nation 's policy of apartheid .' +└───n───> SUB/SPATIAL (NULL, NonRestrictiveRelativeClauseWhereExtractor) + ├────────n────────> 'A Wizard of Mars was published in English -LRB- language of Great Britain -RRB- in the United States .' + └───s───> CO/LIST ('and', CoordinationExtractor) + ├───n───> 'The leader is called a `` president '' .' + └───n───> 'Part of the population is African American .' ### STEP 2) DO DISCOURSE EXTRACTION ### -# In February 1981, Obama made his first public speech, calling for Occidental to participate in the disinvestment from South Africa in response to that nation's policy of apartheid. +# A Wizard of Mars was published in English -LRB- language of Great Britain -RRB- in the United States , where the leader is called a `` president '' and part of the population is African American . -8212a6b1db8c431cacdd963313c6f8e5 0 Obama made his first public speech . - S:TEMPORAL This was in February 1981 . +d047b0296b8c4ac8addc72c1c011696d 0 A Wizard of Mars was published in English -LRB- language of Great Britain -RRB- in the United States . + L:SPATIAL 064d28aa7e8b401b9038afaa7dea3732 + L:SPATIAL 0385d0ce8c18492e8b0aea24c7d38dc1 -ad6a8741257e41208ff3f62ce116d037 0 Obama was calling for Occidental . - S:TEMPORAL This was in February 1981 . - S:PURPOSE This was to participate in the disinvestment from South Africa in response to that nation 's policy of apartheid . +064d28aa7e8b401b9038afaa7dea3732 1 The leader is called a `` president '' . + L:LIST 0385d0ce8c18492e8b0aea24c7d38dc1 +0385d0ce8c18492e8b0aea24c7d38dc1 1 Part of the population is African American . + L:LIST 064d28aa7e8b401b9038afaa7dea3732 -### STEP 3) DO SENTENCE SIMPLIFICATION ### -DEACTIVATED +# Processing sentence 67/554 # -# Processing sentence 68/527 # - -'In mid-1981, Obama traveled to Indonesia to visit his mother and half-sister Maya, and visited the families of college friends in Pakistan and India for three weeks.' +'T S Thakur is a leader in India , which is the country where Amdavad ni Gufa -LRB- Ahmedabad -RRB- is located .' ### Step 1) CREATE SENTENCE DISCOURSE TREE ### CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) - ├───────────────────────s───────────────────────> 'Maya were his mother and half-sister .' - └───n───> CO/LIST (', and', SharedNPPostCoordinationExtractor) - ├────────n────────> SUB/PURPOSE (NULL, PurposePostExtractor) - | ├───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalInitialExtractor) - | | ├───s───> 'This was in mid-1981 .' - | | └───n───> 'Obama traveled to Indonesia .' - | └────────s────────> 'This was to visit Maya .' - └───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) - ├─────────────s─────────────> 'This was in Pakistan and India .' - └───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) - ├────────s────────> 'This was for three weeks .' - └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalInitialExtractor) - ├───s───> 'This was in mid-1981 .' - └───n───> 'Obama visited the families of college friends .' +└───n───> SUB/DESCRIBING_DEFINITION ('which', NonRestrictiveRelativeClauseWhoWhichExtractor) + ├───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) + | ├───s───> 'Thakur is T S .' + | └───n───> 'Thakur is a leader in India .' + └────────s────────> 'India is the country where Amdavad ni Gufa -LRB- Ahmedabad -RRB- is located .' ### STEP 2) DO DISCOURSE EXTRACTION ### -# In mid-1981, Obama traveled to Indonesia to visit his mother and half-sister Maya, and visited the families of college friends in Pakistan and India for three weeks. +# T S Thakur is a leader in India , which is the country where Amdavad ni Gufa -LRB- Ahmedabad -RRB- is located . -2018ad44c43449dab8991a9fe79c2134 0 Obama traveled to Indonesia . - S:UNKNOWN_SUBORDINATION This was in mid-1981 . - S:PURPOSE This was to visit Maya . - L:LIST 81bc4c5254e84cfa85b1d57d8f1da714 - L:ELABORATION e53920a0d34d4476af3ef5caa95be556 +a4724f3173104a6abd58ecc548f54584 0 Thakur is a leader in India . + L:ELABORATION 65fe11f67c6d492b9c74bce526642ad7 + L:DESCRIBING_DEFINITION e4c2d70ffbee43fdb1d530c5196458d6 -81bc4c5254e84cfa85b1d57d8f1da714 0 Obama visited the families of college friends . - S:UNKNOWN_SUBORDINATION This was in mid-1981 . - S:TEMPORAL This was for three weeks . - S:SPATIAL This was in Pakistan and India . - L:LIST 2018ad44c43449dab8991a9fe79c2134 - L:ELABORATION e53920a0d34d4476af3ef5caa95be556 +65fe11f67c6d492b9c74bce526642ad7 1 Thakur is T S . -e53920a0d34d4476af3ef5caa95be556 1 Maya were his mother and half-sister . +e4c2d70ffbee43fdb1d530c5196458d6 1 India is the country where Amdavad ni Gufa -LRB- Ahmedabad -RRB- is located . -### STEP 3) DO SENTENCE SIMPLIFICATION ### +# Processing sentence 68/554 # -DEACTIVATED - -# Processing sentence 69/527 # - -'Later in 1981, he transferred as a junior to Columbia University in New York City, where he majored in political science with a specialty in international relations and in English literature and lived off-campus on West 109th Street.' +'The Mason School of Business are the current tenants of Alan B Miller Hall which was completed on 1st June 2009 and is situated in Virginia , in the United States .' ### Step 1) CREATE SENTENCE DISCOURSE TREE ### CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/SPATIAL (NULL, NonRestrictiveRelativeClauseWhereExtractor) - ├───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) - | ├────────s────────> 'This was to Columbia University in New York City .' - | └───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - | ├───s───> 'This was later in 1981 .' - | └───n───> 'He transferred as a junior .' +└───n───> SUB/IDENTIFYING_DEFINITION ('which', RestrictiveRelativeClauseWhoWhichExtractor) + ├─────────────n─────────────> 'The Mason School of Business are the current tenants of Alan B Miller Hall .' └───s───> CO/LIST ('and', SharedNPPostCoordinationExtractor) - ├───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - | ├───s───> 'This was with a specialty in international relations and in English literature .' - | └───n───> 'He majored in political science .' - └───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) - ├───s───> 'This was on West 109th Street .' - └───n───> 'He lived off-campus .' + ├────────n────────> 'Alan B Miller Hall was completed on 1st June 2009 .' + └───n───> SUB/SPATIAL (NULL, PrepositionalMiddleFinalExtractor) + ├───s───> 'This was in the United States .' + └───n───> 'Alan B Miller Hall is situated in Virginia .' ### STEP 2) DO DISCOURSE EXTRACTION ### -# Later in 1981, he transferred as a junior to Columbia University in New York City, where he majored in political science with a specialty in international relations and in English literature and lived off-campus on West 109th Street. - -d258826d05724347aa5afdcd1e81eea8 0 He transferred as a junior . - S:TEMPORAL This was later in 1981 . - S:SPATIAL This was to Columbia University in New York City . - L:SPATIAL b4d6a2e8c4104cf48755227e9fe465c3 - L:SPATIAL 5134b8ac11604783a53f26d1432ee11b +# The Mason School of Business are the current tenants of Alan B Miller Hall which was completed on 1st June 2009 and is situated in Virginia , in the United States . -b4d6a2e8c4104cf48755227e9fe465c3 1 He majored in political science . - S:UNKNOWN_SUBORDINATION This was with a specialty in international relations and in English literature . - L:LIST 5134b8ac11604783a53f26d1432ee11b +44aa29f5270448d3bbac56a31fbec3d4 0 The Mason School of Business are the current tenants of Alan B Miller Hall . + L:IDENTIFYING_DEFINITION 3312d6bc052a4d4d976d678e02ab9e1a + L:IDENTIFYING_DEFINITION c97c5cd35ce04524a8042b2bf56e3ec1 -5134b8ac11604783a53f26d1432ee11b 1 He lived off-campus . - S:SPATIAL This was on West 109th Street . - L:LIST b4d6a2e8c4104cf48755227e9fe465c3 +3312d6bc052a4d4d976d678e02ab9e1a 1 Alan B Miller Hall was completed on 1st June 2009 . + L:LIST c97c5cd35ce04524a8042b2bf56e3ec1 +c97c5cd35ce04524a8042b2bf56e3ec1 1 Alan B Miller Hall is situated in Virginia . + S:SPATIAL This was in the United States . + L:LIST 3312d6bc052a4d4d976d678e02ab9e1a -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED -# Processing sentence 70/527 # +# Processing sentence 69/554 # -'He graduated with a BA degree in 1983 and worked for about a year at the Business International Corporation, where he was a financial researcher and writer, then as a project coordinator for the New York Public Interest Research Group on the City College of New York campus for three months in 1985.' +'Alan Shepard was born in New Hampshire , where the purple finch is a native bird .' ### Step 1) CREATE SENTENCE DISCOURSE TREE ### CO/UNKNOWN_COORDINATION (NULL, ROOT) └───n───> SUB/SPATIAL (NULL, NonRestrictiveRelativeClauseWhereExtractor) - ├───n───> CO/LIST ('and', SharedNPPostCoordinationExtractor) - | ├──────────────────n──────────────────> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) - | | ├───s───> 'This was in 1983 .' - | | └───n───> 'He graduated with a BA degree .' - | └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - | ├──────────────────s──────────────────> 'This was as a project coordinator for the New York Public Interest Research Group .' - | └───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) - | ├─────────────s─────────────> 'This was on the City College of New York campus .' - | └───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) - | ├────────s────────> 'This was for three months in 1985 .' - | └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - | ├───s───> 'This was at the Business International Corporation .' - | └───n───> 'He worked for about a year .' - └──────────────────s──────────────────> SUB/UNKNOWN_SUBORDINATION (NULL, AdjectivalAdverbialMiddleFinalExtractor) - ├────────s────────> 'This was then .' - └───n───> CO/LIST (NULL, PostListNPExtractor) - ├───n───> 'He was a financial researcher .' - └───n───> 'He was writer .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# He graduated with a BA degree in 1983 and worked for about a year at the Business International Corporation, where he was a financial researcher and writer, then as a project coordinator for the New York Public Interest Research Group on the City College of New York campus for three months in 1985. - -13edebdd046949cd812e4e9021635f75 0 He graduated with a BA degree . - S:TEMPORAL This was in 1983 . - L:LIST e50ddba3c5114732b540e3bc614eff25 - L:SPATIAL 2af4a8152e364d6eb23aa0561ba8bfed - L:SPATIAL 73add1b695ce4a83b64bb82d6243b2cf - -e50ddba3c5114732b540e3bc614eff25 0 He worked for about a year . - S:UNKNOWN_SUBORDINATION This was at the Business International Corporation . - S:TEMPORAL This was for three months in 1985 . - S:SPATIAL This was on the City College of New York campus . - S:UNKNOWN_SUBORDINATION This was as a project coordinator for the New York Public Interest Research Group . - L:LIST 13edebdd046949cd812e4e9021635f75 - L:SPATIAL 2af4a8152e364d6eb23aa0561ba8bfed - L:SPATIAL 73add1b695ce4a83b64bb82d6243b2cf - -2af4a8152e364d6eb23aa0561ba8bfed 1 He was a financial researcher . - S:UNKNOWN_SUBORDINATION This was then . - L:LIST 73add1b695ce4a83b64bb82d6243b2cf - -73add1b695ce4a83b64bb82d6243b2cf 1 He was writer . - S:UNKNOWN_SUBORDINATION This was then . - L:LIST 2af4a8152e364d6eb23aa0561ba8bfed - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 71/527 # - -'In a 2006 interview, Obama highlighted the diversity of his extended family:' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - ├───s───> 'This was in a 2006 interview .' - └───n───> 'Obama highlighted the diversity of his extended family : .' + ├───n───> 'Alan Shepard was born in New Hampshire .' + └───s───> 'The purple finch is a native bird .' ### STEP 2) DO DISCOURSE EXTRACTION ### -# In a 2006 interview, Obama highlighted the diversity of his extended family: - -d77d0f1411934b4b852b75d9b3e6d437 0 Obama highlighted the diversity of his extended family : . - S:TEMPORAL This was in a 2006 interview . +# Alan Shepard was born in New Hampshire , where the purple finch is a native bird . +84b0dd66e52d49d0afc9cb470c1161fb 0 Alan Shepard was born in New Hampshire . + L:SPATIAL acc46afc73264baa9b7060c2bd837f20 -### STEP 3) DO SENTENCE SIMPLIFICATION ### +acc46afc73264baa9b7060c2bd837f20 1 The purple finch is a native bird . -DEACTIVATED -# Processing sentence 72/527 # +# Processing sentence 70/554 # -'It's like a little mini-United Nations, he said.' +'Verona , Italy is the home to A.C. Chievo Verona which has 39371 members .' ### Step 1) CREATE SENTENCE DISCOURSE TREE ### CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/ATTRIBUTION (NULL, PreAttributionExtractor) - ├───n───> 'It 's like a little mini-United Nations .' - └───s───> 'This was what he said .' +└───n───> SUB/IDENTIFYING_DEFINITION ('which', RestrictiveRelativeClauseWhoWhichExtractor) + ├───n───> 'Verona , Italy is the home to A.C. Chievo Verona .' + └───s───> 'A.C. Chievo Verona has 39371 members .' ### STEP 2) DO DISCOURSE EXTRACTION ### -# It's like a little mini-United Nations, he said. - -1361a12361474eb2a5dd5e2049faad1f 0 It 's like a little mini-United Nations . - S:ATTRIBUTION This was what he said . +# Verona , Italy is the home to A.C. Chievo Verona which has 39371 members . +7fc4e6e478f046099e0aa576519c9375 0 Verona , Italy is the home to A.C. Chievo Verona . + L:IDENTIFYING_DEFINITION 708f632ad5ae4d38b51b8ddeb926f17a -### STEP 3) DO SENTENCE SIMPLIFICATION ### +708f632ad5ae4d38b51b8ddeb926f17a 1 A.C. Chievo Verona has 39371 members . -DEACTIVATED -# Processing sentence 73/527 # +# Processing sentence 71/554 # -'I've got relatives who look like Bernie Mac, and I've got relatives who look like Margaret Thatcher.' +'The 11th Mississippi Infantry Monument is located in Adams County , Pennsylvania , which is northwest of Carroll County , Maryland .' ### Step 1) CREATE SENTENCE DISCOURSE TREE ### CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> CO/LIST (', and', CoordinationExtractor) - ├───n───> SUB/IDENTIFYING_DEFINITION ('who', RestrictiveRelativeClauseWhoWhichExtractor) - | ├───n───> 'I 've got relatives .' - | └───s───> 'Relatives look like Bernie Mac .' - └───n───> SUB/IDENTIFYING_DEFINITION ('who', RestrictiveRelativeClauseWhoWhichExtractor) - ├───n───> 'I 've got relatives .' - └───s───> 'Relatives look like Margaret Thatcher .' +└───n───> SUB/DESCRIBING_DEFINITION ('which', NonRestrictiveRelativeClauseWhoWhichExtractor) + ├───n───> SUB/ELABORATION (NULL, NonRestrictiveAppositionExtractor) + | ├───s───> 'Adams County was Pennsylvania .' + | └───n───> 'The 11th Mississippi Infantry Monument is located in Adams County .' + └────────s────────> 'Adams County , Pennsylvania is northwest of Carroll County , Maryland .' ### STEP 2) DO DISCOURSE EXTRACTION ### -# I've got relatives who look like Bernie Mac, and I've got relatives who look like Margaret Thatcher. +# The 11th Mississippi Infantry Monument is located in Adams County , Pennsylvania , which is northwest of Carroll County , Maryland . -fa733ca669d84b09b7f577d47970340d 0 I 've got relatives . - L:IDENTIFYING_DEFINITION c9067ee1d9bf485995e53730b4a4958c - L:LIST 27d2d8e1c1f94e948eeb027535cf6e82 +f4a3adc939844fc997bff544c384c385 0 The 11th Mississippi Infantry Monument is located in Adams County . + L:ELABORATION e9f2da3760e14e298fe0a5f64b95a5e5 + L:DESCRIBING_DEFINITION 5f40c31c9cd54e82a1132122e51c9a7d -c9067ee1d9bf485995e53730b4a4958c 1 Relatives look like Bernie Mac . +e9f2da3760e14e298fe0a5f64b95a5e5 1 Adams County was Pennsylvania . -27d2d8e1c1f94e948eeb027535cf6e82 0 I 've got relatives . - L:IDENTIFYING_DEFINITION bc7b9480477f474ab24543b0dc58dbfd - L:LIST fa733ca669d84b09b7f577d47970340d +5f40c31c9cd54e82a1132122e51c9a7d 1 Adams County , Pennsylvania is northwest of Carroll County , Maryland . -bc7b9480477f474ab24543b0dc58dbfd 1 Relatives look like Margaret Thatcher . +# Processing sentence 72/554 # -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 74/527 # - -'Obama has a half-sister with whom he was raised (Maya Soetoro-Ng, the daughter of his mother and her Indonesian second husband) and seven half-siblings from his Kenyan father's family—six of them living.' +'Associazione Calcio ChievoVerona is managed by Rolando Maran who plays for Carrarese Calcio .' ### Step 1) CREATE SENTENCE DISCOURSE TREE ### CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/ELABORATION (NULL, NonRestrictiveAppositionExtractor) - ├───s───> CO/LIST (NULL, PostListNPExtractor) - | ├───n───> 'Maya Soetoro-Ng was the daughter of his mother .' - | └───n───> 'Maya Soetoro-Ng was the daughter of her Indonesian second husband .' - └───n───> CO/LIST (NULL, PostListNPExtractor) - ├───n───> 'Obama has a half-sister with whom he was raised -LRB- Maya Soetoro-Ng -RRB- .' - └───n───> 'Obama has seven half-siblings from his Kenyan father 's family -- six of them living .' +└───n───> SUB/IDENTIFYING_DEFINITION ('who', RestrictiveRelativeClauseWhoWhichExtractor) + ├───n───> 'Associazione Calcio ChievoVerona is managed by Rolando Maran .' + └───s───> 'Rolando Maran plays for Carrarese Calcio .' ### STEP 2) DO DISCOURSE EXTRACTION ### -# Obama has a half-sister with whom he was raised (Maya Soetoro-Ng, the daughter of his mother and her Indonesian second husband) and seven half-siblings from his Kenyan father's family—six of them living. - -b29a5db600854bf1b05a8bde1a77cb57 0 Obama has a half-sister with whom he was raised -LRB- Maya Soetoro-Ng -RRB- . - L:LIST 792e99b998bc4672abc07f728747680b - L:ELABORATION f565d8965ece4f839f6cd2dd57e912e9 - L:ELABORATION cb96d705c5be4e7a9c64d73f35616b6a +# Associazione Calcio ChievoVerona is managed by Rolando Maran who plays for Carrarese Calcio . -792e99b998bc4672abc07f728747680b 0 Obama has seven half-siblings from his Kenyan father 's family -- six of them living . - L:LIST b29a5db600854bf1b05a8bde1a77cb57 - L:ELABORATION f565d8965ece4f839f6cd2dd57e912e9 - L:ELABORATION cb96d705c5be4e7a9c64d73f35616b6a +5fc0a34398ad4ed289b0653874fd0dc4 0 Associazione Calcio ChievoVerona is managed by Rolando Maran . + L:IDENTIFYING_DEFINITION 057aa2933a184989b812e7fd8ebf6e04 -f565d8965ece4f839f6cd2dd57e912e9 1 Maya Soetoro-Ng was the daughter of his mother . - L:LIST cb96d705c5be4e7a9c64d73f35616b6a +057aa2933a184989b812e7fd8ebf6e04 1 Rolando Maran plays for Carrarese Calcio . -cb96d705c5be4e7a9c64d73f35616b6a 1 Maya Soetoro-Ng was the daughter of her Indonesian second husband . - L:LIST f565d8965ece4f839f6cd2dd57e912e9 +# Processing sentence 73/554 # -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 75/527 # - -'Obama's mother was survived by her Kansas-born mother, Madelyn Dunham, until her death on November 2, 2008, two days before his election to the Presidency.' +'A Wizard of Mars by Diane Duane is in print and has an OCLC number of 318875313 .' ### Step 1) CREATE SENTENCE DISCOURSE TREE ### CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/ELABORATION (NULL, NonRestrictiveAppositionExtractor) - ├──────────────────s──────────────────> 'Madelyn Dunham was her Kansas-born mother .' - └───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) - ├─────────────s─────────────> 'This was until her death on November 2 , 2008 , two days .' - └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - ├────────s────────> 'This was before his election .' - └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - ├───s───> 'This was to the Presidency .' - └───n───> 'Obama 's mother was survived by her Kansas-born mother .' +└───n───> CO/LIST ('and', SharedNPPostCoordinationExtractor) + ├───n───> 'A Wizard of Mars by Diane Duane is in print .' + └───n───> 'A Wizard of Mars by Diane Duane has an OCLC number of 318875313 .' ### STEP 2) DO DISCOURSE EXTRACTION ### -# Obama's mother was survived by her Kansas-born mother, Madelyn Dunham, until her death on November 2, 2008, two days before his election to the Presidency. - -6147499952f14c5192aba7046b8ac1c8 0 Obama 's mother was survived by her Kansas-born mother . - S:UNKNOWN_SUBORDINATION This was to the Presidency . - S:UNKNOWN_SUBORDINATION This was before his election . - S:TEMPORAL This was until her death on November 2 , 2008 , two days . - L:ELABORATION acd4000da18346feb2663def7cf5b9c2 +# A Wizard of Mars by Diane Duane is in print and has an OCLC number of 318875313 . -acd4000da18346feb2663def7cf5b9c2 1 Madelyn Dunham was her Kansas-born mother . +2d002bc24ce948eb8292cf0689380b45 0 A Wizard of Mars by Diane Duane is in print . + L:LIST 70c5ac21702f4070a5e772760b1a2f2f +70c5ac21702f4070a5e772760b1a2f2f 0 A Wizard of Mars by Diane Duane has an OCLC number of 318875313 . + L:LIST 2d002bc24ce948eb8292cf0689380b45 -### STEP 3) DO SENTENCE SIMPLIFICATION ### -DEACTIVATED +# Processing sentence 74/554 # -# Processing sentence 76/527 # - -'Obama also has roots in Ireland; he met with his Irish cousins in Moneygall in May 2011.' +'Aidsham Hall , completed in 1931 and located in Sri Lanka , is in the Tudor Revival architecture style .' ### Step 1) CREATE SENTENCE DISCOURSE TREE ### CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> CO/UNKNOWN_COORDINATION (';', CoordinationExtractor) - ├────────n────────> 'Obama also has roots in Ireland .' - └───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) - ├───s───> 'This was in Moneygall in May 2011 .' - └───n───> 'He met with his Irish cousins .' +└───n───> 'Aidsham Hall , completed in 1931 and located in Sri Lanka , is in the Tudor Revival architecture style .' ### STEP 2) DO DISCOURSE EXTRACTION ### -# Obama also has roots in Ireland; he met with his Irish cousins in Moneygall in May 2011. - -b736734ab9b547b1b26e4068d9185f8d 0 Obama also has roots in Ireland . - -8116751c471541ae9540b2af626eaa98 0 He met with his Irish cousins . - S:TEMPORAL This was in Moneygall in May 2011 . +# Aidsham Hall , completed in 1931 and located in Sri Lanka , is in the Tudor Revival architecture style . +f4ed45dc66d548f09f6ff0f28feebbeb 0 Aidsham Hall , completed in 1931 and located in Sri Lanka , is in the Tudor Revival architecture style . -### STEP 3) DO SENTENCE SIMPLIFICATION ### -DEACTIVATED +# Processing sentence 75/554 # -# Processing sentence 77/527 # - -'In Dreams from My Father, Obama ties his mother's family history to possible Native American ancestors and distant relatives of Jefferson Davis, President of the Confederate States of America during the American Civil War.' +'The Mason School of Business are the current tenants of Alan B Miller Hall , which is located in Virginia , United States and was designed by the architect Robert A M Stern .' ### Step 1) CREATE SENTENCE DISCOURSE TREE ### CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/ELABORATION (NULL, NonRestrictiveAppositionExtractor) - ├───────────────────────s───────────────────────> 'Jefferson Davis is President of the Confederate States of America .' - └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - ├─────────────s─────────────> CO/LIST (NULL, PostListNPExtractor) - | ├───n───> 'This is to possible Native American ancestors .' - | └───n───> 'This is to distant relatives of Jefferson Davis .' - └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - ├─────────────s─────────────> 'This is during the American Civil War .' - └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalInitialExtractor) - ├───s───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - | ├───s───> 'This is from My Father .' - | └───n───> 'This is in Dreams .' - └────────n────────> 'Obama ties his mother 's family history .' +└───n───> SUB/DESCRIBING_DEFINITION ('which', NonRestrictiveRelativeClauseWhoWhichExtractor) + ├─────────────n─────────────> 'The Mason School of Business are the current tenants of Alan B Miller Hall .' + └───s───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) + ├────────s────────> 'Robert A M Stern was the architect .' + └───n───> CO/LIST ('and', SharedNPPostCoordinationExtractor) + ├───n───> 'Alan B Miller Hall is located in Virginia , United States .' + └───n───> 'Alan B Miller Hall was designed by Robert A M Stern .' ### STEP 2) DO DISCOURSE EXTRACTION ### -# In Dreams from My Father, Obama ties his mother's family history to possible Native American ancestors and distant relatives of Jefferson Davis, President of the Confederate States of America during the American Civil War. - -6d8caf1d69d848a28c362f5d83cc9fd2 0 Obama ties his mother 's family history . - S:UNKNOWN_SUBORDINATION This is during the American Civil War . - L:UNKNOWN_SUBORDINATION d34ff0acfad04db0a3a0dca7dd20a127 - L:UNKNOWN_SUBORDINATION 10bc80d4b3414ffcab1af39a260780de - L:UNKNOWN_SUBORDINATION e7254204dd2049cc970ab20ac8f3e831 - L:ELABORATION bd58ab00c9a149c2800d138eb2da967f +# The Mason School of Business are the current tenants of Alan B Miller Hall , which is located in Virginia , United States and was designed by the architect Robert A M Stern . -d34ff0acfad04db0a3a0dca7dd20a127 1 This is in Dreams . - S:UNKNOWN_SUBORDINATION This is from My Father . +fde9195ef5ff49db8919a5407156d456 0 The Mason School of Business are the current tenants of Alan B Miller Hall . + L:DESCRIBING_DEFINITION ee973e698cb74cc3b87a4ca4246f2203 + L:DESCRIBING_DEFINITION 4a335031d47d47548e1b267a48283a94 -10bc80d4b3414ffcab1af39a260780de 1 This is to possible Native American ancestors . - L:LIST e7254204dd2049cc970ab20ac8f3e831 +ee973e698cb74cc3b87a4ca4246f2203 1 Alan B Miller Hall is located in Virginia , United States . + L:LIST 4a335031d47d47548e1b267a48283a94 + L:ELABORATION 686cf758365f494ebb9c8a57e42fb158 -e7254204dd2049cc970ab20ac8f3e831 1 This is to distant relatives of Jefferson Davis . - L:LIST 10bc80d4b3414ffcab1af39a260780de +4a335031d47d47548e1b267a48283a94 1 Alan B Miller Hall was designed by Robert A M Stern . + L:LIST ee973e698cb74cc3b87a4ca4246f2203 + L:ELABORATION 686cf758365f494ebb9c8a57e42fb158 -bd58ab00c9a149c2800d138eb2da967f 1 Jefferson Davis is President of the Confederate States of America . +686cf758365f494ebb9c8a57e42fb158 2 Robert A M Stern was the architect . -### STEP 3) DO SENTENCE SIMPLIFICATION ### +# Processing sentence 76/554 # -DEACTIVATED - -# Processing sentence 78/527 # - -'He also shares distant ancestors in common with George W. Bush and Dick Cheney, among others.' +'AZ Alkmaar 's fullname is Alkmaar Zaanstreek , it has 17023 members .' ### Step 1) CREATE SENTENCE DISCOURSE TREE ### CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalMiddleFinalExtractor) - ├────────s────────> 'This is among others .' - └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - ├───s───> 'This is in common with George W. Bush and Dick Cheney .' - └───n───> 'He also shares distant ancestors .' +└───n───> 'AZ Alkmaar 's fullname is Alkmaar Zaanstreek , it has 17023 members .' ### STEP 2) DO DISCOURSE EXTRACTION ### -# He also shares distant ancestors in common with George W. Bush and Dick Cheney, among others. - -069f764af85d405fad73bae08dab1148 0 He also shares distant ancestors . - S:UNKNOWN_SUBORDINATION This is in common with George W. Bush and Dick Cheney . - S:UNKNOWN_SUBORDINATION This is among others . +# AZ Alkmaar 's fullname is Alkmaar Zaanstreek , it has 17023 members . +2c0bb898bc6b4f36aa21ae3794195b9d 0 AZ Alkmaar 's fullname is Alkmaar Zaanstreek , it has 17023 members . -### STEP 3) DO SENTENCE SIMPLIFICATION ### -DEACTIVATED +# Processing sentence 77/554 # -# Processing sentence 79/527 # - -'Obama is a supporter of the Chicago White Sox, and he threw out the first pitch at the 2005 ALCS when he was still a senator.' +'AFC Fylde 's manager is Dave Challinor who used to play football for Bury FC .' ### Step 1) CREATE SENTENCE DISCOURSE TREE ### CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> CO/LIST (', and', CoordinationExtractor) - ├────────n────────> 'Obama is a supporter of the Chicago White Sox .' - └───n───> SUB/BACKGROUND ('when', SubordinationPostExtractor) - ├───n───> 'He threw out the first pitch at the 2005 ALCS .' - └───s───> 'He was still a senator .' +└───n───> SUB/IDENTIFYING_DEFINITION ('who', RestrictiveRelativeClauseWhoWhichExtractor) + ├────────n────────> 'AFC Fylde 's manager is Dave Challinor .' + └───s───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + ├───s───> 'This was for Bury FC .' + └───n───> 'Dave Challinor used to play football .' ### STEP 2) DO DISCOURSE EXTRACTION ### -# Obama is a supporter of the Chicago White Sox, and he threw out the first pitch at the 2005 ALCS when he was still a senator. - -096e81bb10364fa1b9bd1fe4a872dfaa 0 Obama is a supporter of the Chicago White Sox . - L:LIST 6bc76bbd1cc14a96a02a746ec224885a +# AFC Fylde 's manager is Dave Challinor who used to play football for Bury FC . -6bc76bbd1cc14a96a02a746ec224885a 0 He threw out the first pitch at the 2005 ALCS . - L:BACKGROUND 1fbf6623179c4a578bf70181902653cd - L:LIST 096e81bb10364fa1b9bd1fe4a872dfaa +07dd8aec4e384fa2ac683beb1a3c49c9 0 AFC Fylde 's manager is Dave Challinor . + L:IDENTIFYING_DEFINITION f189e92377c04e1b990f4115ac173cd1 -1fbf6623179c4a578bf70181902653cd 1 He was still a senator . +f189e92377c04e1b990f4115ac173cd1 1 Dave Challinor used to play football . + S:UNKNOWN_SUBORDINATION This was for Bury FC . -### STEP 3) DO SENTENCE SIMPLIFICATION ### +# Processing sentence 78/554 # -DEACTIVATED - -# Processing sentence 80/527 # - -'In 2009, he threw out the ceremonial first pitch at the All-Star Game while wearing a White Sox jacket.' +'Located in the state of Karnataka , Acharya Institute of Technology is an affiliate of Visvesvaraya Technological University .' ### Step 1) CREATE SENTENCE DISCOURSE TREE ### CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> CO/CONTRAST (NULL, SharedNPPostParticipalExtractor) - ├───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - | ├────────s────────> 'This was at the All-Star Game .' - | └───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - | ├───s───> 'This was in 2009 .' - | └───n───> 'He threw out the ceremonial first pitch .' - └────────n────────> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - ├───s───> 'This was in 2009 .' - └───n───> 'He was wearing a White Sox jacket .' +└───n───> CO/UNKNOWN_COORDINATION ('', SharedNPPreParticipalExtractor) + ├───n───> 'Acharya Institute of Technology is located in the state of Karnataka .' + └───n───> 'Acharya Institute of Technology is an affiliate of Visvesvaraya Technological University .' ### STEP 2) DO DISCOURSE EXTRACTION ### -# In 2009, he threw out the ceremonial first pitch at the All-Star Game while wearing a White Sox jacket. - -a3470a79779f457d8f9e8dbd329aeb41 0 He threw out the ceremonial first pitch . - S:TEMPORAL This was in 2009 . - S:UNKNOWN_SUBORDINATION This was at the All-Star Game . - L:CONTRAST eb7682cd950744fb918fceb8182c6c15 +# Located in the state of Karnataka , Acharya Institute of Technology is an affiliate of Visvesvaraya Technological University . -eb7682cd950744fb918fceb8182c6c15 0 He was wearing a White Sox jacket . - S:TEMPORAL This was in 2009 . - L:CONTRAST a3470a79779f457d8f9e8dbd329aeb41 +a2e323b2f8804211a0b4ea49aa89e678 0 Acharya Institute of Technology is located in the state of Karnataka . +3f6698038d0f43a0b95ee96639c229e8 0 Acharya Institute of Technology is an affiliate of Visvesvaraya Technological University . -### STEP 3) DO SENTENCE SIMPLIFICATION ### -DEACTIVATED +# Processing sentence 79/554 # -# Processing sentence 81/527 # - -'He is also primarily a Chicago Bears football fan in the NFL, but in his childhood and adolescence was a fan of the Pittsburgh Steelers, and rooted for them ahead of their victory in Super Bowl XLIII 12 days after he took office as president.' +'A Long Long Way was published in Print & Paperback and has the OCLC number 57392246 .' ### Step 1) CREATE SENTENCE DISCOURSE TREE ### CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> CO/CONTRAST (', but', SharedNPPostCoordinationExtractor) - ├──────────────────n──────────────────> 'He is also primarily a Chicago Bears football fan in the NFL .' - └───n───> CO/LIST (', and', SharedNPPostCoordinationExtractor) - ├─────────────n─────────────> 'He in his childhood and adolescence was a fan of the Pittsburgh Steelers .' - └───n───> SUB/TEMPORAL_BEFORE ('after', SubordinationPostExtractor) - ├────────n────────> 'He rooted for them ahead of their victory in Super Bowl XLIII 12 days .' - └───s───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - ├───s───> 'This was as president .' - └───n───> 'He took office .' +└───n───> CO/LIST ('and', SharedNPPostCoordinationExtractor) + ├───n───> 'A Long Long Way was published in Print & Paperback .' + └───n───> 'A Long Long Way has the OCLC number 57392246 .' ### STEP 2) DO DISCOURSE EXTRACTION ### -# He is also primarily a Chicago Bears football fan in the NFL, but in his childhood and adolescence was a fan of the Pittsburgh Steelers, and rooted for them ahead of their victory in Super Bowl XLIII 12 days after he took office as president. - -92e7f700bb9042b69fd2bbc94cb144ed 0 He is also primarily a Chicago Bears football fan in the NFL . - L:CONTRAST f5ed12c46ed246909cbd18d966471a9d - L:CONTRAST 5860f6168d4e485ca94761c469726447 - -f5ed12c46ed246909cbd18d966471a9d 0 He in his childhood and adolescence was a fan of the Pittsburgh Steelers . - L:LIST 5860f6168d4e485ca94761c469726447 - L:CONTRAST 92e7f700bb9042b69fd2bbc94cb144ed +# A Long Long Way was published in Print & Paperback and has the OCLC number 57392246 . -5860f6168d4e485ca94761c469726447 0 He rooted for them ahead of their victory in Super Bowl XLIII 12 days . - L:TEMPORAL_BEFORE 66b3220bc80f4571a6db3e558d796ebd - L:LIST f5ed12c46ed246909cbd18d966471a9d - L:CONTRAST 92e7f700bb9042b69fd2bbc94cb144ed +f17f8317d0a6429ea8afc2b8b92a7aea 0 A Long Long Way was published in Print & Paperback . + L:LIST a5d77c9745ac402995ce8a24095aa56e -66b3220bc80f4571a6db3e558d796ebd 1 He took office . - S:UNKNOWN_SUBORDINATION This was as president . +a5d77c9745ac402995ce8a24095aa56e 0 A Long Long Way has the OCLC number 57392246 . + L:LIST f17f8317d0a6429ea8afc2b8b92a7aea -### STEP 3) DO SENTENCE SIMPLIFICATION ### +# Processing sentence 80/554 # -DEACTIVATED - -# Processing sentence 82/527 # - -'In 2011, Obama invited the 1985 Chicago Bears to the White House; the team had not visited the White House after their Super Bowl win in 1986 due to the Space Shuttle Challenger disaster.' +'3Arena in Dublin , Republic of Ireland is owned by Live Nation Entertainment .' ### Step 1) CREATE SENTENCE DISCOURSE TREE ### CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> CO/UNKNOWN_COORDINATION (';', CoordinationExtractor) - ├───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - | ├───s───> 'This was in 2011 .' - | └───n───> 'Obama invited the 1985 Chicago Bears to the White House .' - └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - ├───s───> 'This was after their Super Bowl win .' - └───n───> 'The team had not visited the White House in 1986 due to the Space Shuttle Challenger disaster .' +└───n───> '3Arena in Dublin , Republic of Ireland is owned by Live Nation Entertainment .' ### STEP 2) DO DISCOURSE EXTRACTION ### -# In 2011, Obama invited the 1985 Chicago Bears to the White House; the team had not visited the White House after their Super Bowl win in 1986 due to the Space Shuttle Challenger disaster. - -eb3f7b32ae804af0b663016cdd582ac0 0 Obama invited the 1985 Chicago Bears to the White House . - S:TEMPORAL This was in 2011 . +# 3Arena in Dublin , Republic of Ireland is owned by Live Nation Entertainment . -15b86e07ff2746dd99663eda902fadfd 0 The team had not visited the White House in 1986 due to the Space Shuttle Challenger disaster . - S:UNKNOWN_SUBORDINATION This was after their Super Bowl win . +ec418bc272b742359f1759051bd600ee 0 3Arena in Dublin , Republic of Ireland is owned by Live Nation Entertainment . -### STEP 3) DO SENTENCE SIMPLIFICATION ### +# Processing sentence 81/554 # -DEACTIVATED - -# Processing sentence 83/527 # - -'He plays basketball, a sport he participated in as a member of his high school's varsity team, and he is left-handed.' +'AC Lumezzane , play in the Lega Pro league , and have 4150 members .' ### Step 1) CREATE SENTENCE DISCOURSE TREE ### CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> CO/LIST (', and', CoordinationExtractor) - ├───n───> SUB/ELABORATION (NULL, NonRestrictiveAppositionExtractor) - | ├───s───> SUB/IDENTIFYING_DEFINITION ('', RestrictiveRelativeClauseWithoutRelativePronounExtractor) - | | ├────────n────────> 'Basketball was a sport .' - | | └───s───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - | | ├───s───> 'This was in as a member of his high school 's varsity team .' - | | └───n───> 'He participated a sport .' - | └─────────────n─────────────> 'He plays basketball .' - └──────────────────n──────────────────> 'He is left-handed .' +└───n───> CO/LIST (', and', SharedNPPostCoordinationExtractor) + ├───n───> 'AC Lumezzane , play in the Lega Pro league .' + └───n───> 'AC Lumezzane , have 4150 members .' ### STEP 2) DO DISCOURSE EXTRACTION ### -# He plays basketball, a sport he participated in as a member of his high school's varsity team, and he is left-handed. +# AC Lumezzane , play in the Lega Pro league , and have 4150 members . -66949eaf16224d1e96fcc85587ac8c41 0 He plays basketball . - L:ELABORATION 812578ce4d0740d4a2630e1c3936bc29 - L:LIST 75b95b8784314654b0bbfd6638e13996 +15feea2adf54434a8eccb2c91fbfd819 0 AC Lumezzane , play in the Lega Pro league . + L:LIST b54d006b54d34a448d6980c0adcc373b -812578ce4d0740d4a2630e1c3936bc29 1 Basketball was a sport . - L:IDENTIFYING_DEFINITION db9ebf42ed3349d085c3c9a8c249a510 +b54d006b54d34a448d6980c0adcc373b 0 AC Lumezzane , have 4150 members . + L:LIST 15feea2adf54434a8eccb2c91fbfd819 -db9ebf42ed3349d085c3c9a8c249a510 2 He participated a sport . - S:UNKNOWN_SUBORDINATION This was in as a member of his high school 's varsity team . -75b95b8784314654b0bbfd6638e13996 0 He is left-handed . - L:LIST 66949eaf16224d1e96fcc85587ac8c41 +# Processing sentence 82/554 # - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 84/527 # - -'Obama lived with anthropologist Sheila Miyoshi Jager while he was a community organizer in Chicago in the 1980s.' +'Amdavad ni Gufa located in India whose leaders are Narendra Modi and Sumitra Mahajan .' ### Step 1) CREATE SENTENCE DISCOURSE TREE ### CO/UNKNOWN_COORDINATION (NULL, ROOT) └───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) - ├────────s────────> 'Sheila Miyoshi Jager was anthropologist .' - └───n───> CO/CONTRAST ('while', SubordinationPostExtractor) - ├───n───> 'Obama lived with Sheila Miyoshi Jager .' - └───n───> 'He was a community organizer in Chicago in the 1980s .' + ├─────────────s─────────────> 'Gufa was Amdavad ni .' + └───n───> SUB/IDENTIFYING_DEFINITION (NULL, RestrictiveRelativeClauseWhoseExtractor) + ├────────n────────> 'Gufa located in India .' + └───s───> CO/LIST (NULL, PostListNPExtractor) + ├───n───> 'India 's leaders are Narendra Modi .' + └───n───> 'India 's leaders are Sumitra Mahajan .' ### STEP 2) DO DISCOURSE EXTRACTION ### -# Obama lived with anthropologist Sheila Miyoshi Jager while he was a community organizer in Chicago in the 1980s. - -582db82faae04dec8b7401b74848ec2e 0 Obama lived with Sheila Miyoshi Jager . - L:CONTRAST 62804e3b481148d39f7dde10a9298bed - L:ELABORATION 9f63e0b858ab4ceea6eeaf87124ba343 +# Amdavad ni Gufa located in India whose leaders are Narendra Modi and Sumitra Mahajan . -62804e3b481148d39f7dde10a9298bed 0 He was a community organizer in Chicago in the 1980s . - L:CONTRAST 582db82faae04dec8b7401b74848ec2e - L:ELABORATION 9f63e0b858ab4ceea6eeaf87124ba343 +85b476be92404b6b865eb41495f2ad22 0 Gufa located in India . + L:IDENTIFYING_DEFINITION b35e5702d3de43cba166bc1439a4dda5 + L:IDENTIFYING_DEFINITION ef00183cf2604e3fa04ff8aafb2fc082 + L:ELABORATION be8f9e66336945afa29ab6ed8395631f -9f63e0b858ab4ceea6eeaf87124ba343 1 Sheila Miyoshi Jager was anthropologist . +b35e5702d3de43cba166bc1439a4dda5 1 India 's leaders are Narendra Modi . + L:LIST ef00183cf2604e3fa04ff8aafb2fc082 +ef00183cf2604e3fa04ff8aafb2fc082 1 India 's leaders are Sumitra Mahajan . + L:LIST b35e5702d3de43cba166bc1439a4dda5 -### STEP 3) DO SENTENCE SIMPLIFICATION ### +be8f9e66336945afa29ab6ed8395631f 1 Gufa was Amdavad ni . -DEACTIVATED -# Processing sentence 85/527 # +# Processing sentence 83/554 # -'He proposed to her twice, but both Jager and her parents turned him down.' +'Adisham Hall is styled as Tudor Revival and found in Haputale .' ### Step 1) CREATE SENTENCE DISCOURSE TREE ### CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> CO/CONTRAST (', but', CoordinationExtractor) - ├────────n────────> 'He proposed to her twice .' - └───n───> CO/LIST (NULL, PreListNPExtractor) - ├───n───> 'Both Jager turned him down .' - └───n───> 'Her parents turned him down .' +└───n───> CO/LIST ('and', SharedNPPostCoordinationExtractor) + ├───n───> 'Adisham Hall is styled as Tudor Revival .' + └───n───> 'Adisham Hall is found in Haputale .' ### STEP 2) DO DISCOURSE EXTRACTION ### -# He proposed to her twice, but both Jager and her parents turned him down. - -724cabc8e1e043f6a32e8f69383754ee 0 He proposed to her twice . - L:CONTRAST e1e46d0828cc4bfba200c7de8670ee93 - L:CONTRAST 2dffe767f5a74eea838d5837f1575e88 +# Adisham Hall is styled as Tudor Revival and found in Haputale . -e1e46d0828cc4bfba200c7de8670ee93 0 Both Jager turned him down . - L:LIST 2dffe767f5a74eea838d5837f1575e88 - L:CONTRAST 724cabc8e1e043f6a32e8f69383754ee +960a325478ac4812978ee5de8ce77b01 0 Adisham Hall is styled as Tudor Revival . + L:LIST 532c62cd35874825ada6343d02aaaa8d -2dffe767f5a74eea838d5837f1575e88 0 Her parents turned him down . - L:LIST e1e46d0828cc4bfba200c7de8670ee93 - L:CONTRAST 724cabc8e1e043f6a32e8f69383754ee +532c62cd35874825ada6343d02aaaa8d 0 Adisham Hall is found in Haputale . + L:LIST 960a325478ac4812978ee5de8ce77b01 -### STEP 3) DO SENTENCE SIMPLIFICATION ### +# Processing sentence 84/554 # -DEACTIVATED - -# Processing sentence 86/527 # - -'The relationship was only made public in May 2017, several months after Obama's presidency had ended.' +'The A.E Dimitra Efxeinoupolis club is located in Greece , where Greek is spoken .' ### Step 1) CREATE SENTENCE DISCOURSE TREE ### CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> 'The relationship was only made public in May 2017 , several months after Obama 's presidency had ended .' +└───n───> SUB/SPATIAL (NULL, NonRestrictiveRelativeClauseWhereExtractor) + ├───n───> 'The A.E Dimitra Efxeinoupolis club is located in Greece .' + └───s───> 'Greek is spoken .' ### STEP 2) DO DISCOURSE EXTRACTION ### -# The relationship was only made public in May 2017, several months after Obama's presidency had ended. - -a07023a399634d92a9e483cabe1d4bac 0 The relationship was only made public in May 2017 , several months after Obama 's presidency had ended . +# The A.E Dimitra Efxeinoupolis club is located in Greece , where Greek is spoken . +5f779c9c4555495cb5fcb817d81aaab9 0 The A.E Dimitra Efxeinoupolis club is located in Greece . + L:SPATIAL 0aa90946a28647b0aee333d3f7723729 -### STEP 3) DO SENTENCE SIMPLIFICATION ### +0aa90946a28647b0aee333d3f7723729 1 Greek is spoken . -DEACTIVATED -# Processing sentence 87/527 # +# Processing sentence 85/554 # -'In June 1989, Obama met Michelle Robinson when he was employed as a summer associate at the Chicago law firm of Sidley Austin.' +'200 Public Square is located in Cleveland , Cuyahoga County , Ohio , United States which is lead by Frank G Jackson .' ### Step 1) CREATE SENTENCE DISCOURSE TREE ### CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - ├───s───> 'This was in June 1989 .' - └───n───> 'Obama met Michelle Robinson when he was employed as a summer associate at the Chicago law firm of Sidley Austin .' +└───n───> SUB/IDENTIFYING_DEFINITION ('which', RestrictiveRelativeClauseWhoWhichExtractor) + ├───n───> '200 Public Square is located in Cleveland , Cuyahoga County , Ohio , United States .' + └───s───> 'Cuyahoga County , Ohio , United States is lead by Frank G Jackson .' ### STEP 2) DO DISCOURSE EXTRACTION ### -# In June 1989, Obama met Michelle Robinson when he was employed as a summer associate at the Chicago law firm of Sidley Austin. +# 200 Public Square is located in Cleveland , Cuyahoga County , Ohio , United States which is lead by Frank G Jackson . -679289caee9d4940b87ba460a6eb2d64 0 Obama met Michelle Robinson when he was employed as a summer associate at the Chicago law firm of Sidley Austin . - S:TEMPORAL This was in June 1989 . +e5e20578e0ac401a9680e7ff95415f9f 0 200 Public Square is located in Cleveland , Cuyahoga County , Ohio , United States . + L:IDENTIFYING_DEFINITION 6d3a55868a4b45e3b83b6bf4f6813d28 +6d3a55868a4b45e3b83b6bf4f6813d28 1 Cuyahoga County , Ohio , United States is lead by Frank G Jackson . -### STEP 3) DO SENTENCE SIMPLIFICATION ### -DEACTIVATED +# Processing sentence 86/554 # -# Processing sentence 88/527 # - -'Robinson was assigned for three months as Obama's adviser at the firm, and she joined him at several group social functions but declined his initial requests to date.' +'ACM Transactions on Information Systems -LRB- abbreviated to ACM Trans. Inf. Syst. -RRB- has a CODEN code of ATISET and a LCCN number of 89646863 .' ### Step 1) CREATE SENTENCE DISCOURSE TREE ### CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> CO/LIST (', and', CoordinationExtractor) - ├────────n────────> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - | ├───s───> 'This was at the firm .' - | └───n───> 'Robinson was assigned for three months as Obama 's adviser .' - └───n───> CO/CONTRAST ('but', SharedNPPostCoordinationExtractor) - ├───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - | ├───s───> 'This was at several group social functions .' - | └───n───> 'She joined him .' - └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - ├───s───> 'This was to date .' - └───n───> 'She declined his initial requests .' +└───n───> CO/LIST (NULL, PostListNPExtractor) + ├───n───> 'ACM Transactions on Information Systems -LRB- abbreviated to ACM Trans . Inf . Syst . -RRB- has a CODEN code of ATISET .' + └───n───> 'ACM Transactions on Information Systems -LRB- abbreviated to ACM Trans . Inf . Syst . -RRB- has a LCCN number of 89646863 .' ### STEP 2) DO DISCOURSE EXTRACTION ### -# Robinson was assigned for three months as Obama's adviser at the firm, and she joined him at several group social functions but declined his initial requests to date. +# ACM Transactions on Information Systems -LRB- abbreviated to ACM Trans. Inf. Syst. -RRB- has a CODEN code of ATISET and a LCCN number of 89646863 . -2b771f78206c4dcabebfa3bcbb817969 0 Robinson was assigned for three months as Obama 's adviser . - S:UNKNOWN_SUBORDINATION This was at the firm . - L:LIST 89e6aec5065549a8a134d7f3d28b166f - L:LIST f29d2a033b58475aa22f03810ca01f50 +b5212ad515ec47c9a88b60537ccadcc3 0 ACM Transactions on Information Systems -LRB- abbreviated to ACM Trans . Inf . Syst . -RRB- has a CODEN code of ATISET . + L:LIST 1d2321d1ba364152abfbae25da3e2241 -89e6aec5065549a8a134d7f3d28b166f 0 She joined him . - S:UNKNOWN_SUBORDINATION This was at several group social functions . - L:CONTRAST f29d2a033b58475aa22f03810ca01f50 - L:LIST 2b771f78206c4dcabebfa3bcbb817969 +1d2321d1ba364152abfbae25da3e2241 0 ACM Transactions on Information Systems -LRB- abbreviated to ACM Trans . Inf . Syst . -RRB- has a LCCN number of 89646863 . + L:LIST b5212ad515ec47c9a88b60537ccadcc3 -f29d2a033b58475aa22f03810ca01f50 0 She declined his initial requests . - S:UNKNOWN_SUBORDINATION This was to date . - L:CONTRAST 89e6aec5065549a8a134d7f3d28b166f - L:LIST 2b771f78206c4dcabebfa3bcbb817969 +# Processing sentence 87/554 # -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 89/527 # - -'They began dating later that summer, became engaged in 1991, and were married on October 3, 1992.' +'The Akron Summit Assault team is based in Akron , Ohio in the U.S.' ### Step 1) CREATE SENTENCE DISCOURSE TREE ### CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> CO/UNKNOWN_COORDINATION (NULL, SharedNPPostCoordinationExtractor) - ├───n───> 'They began dating later that summer .' - ├───n───> 'They became engaged in 1991 .' - └───n───> 'They were married on October 3 , 1992 .' +└───n───> 'The Akron Summit Assault team is based in Akron , Ohio in the U.S.' ### STEP 2) DO DISCOURSE EXTRACTION ### -# They began dating later that summer, became engaged in 1991, and were married on October 3, 1992. - -77d8d668e1514f28bf33548332cafb6e 0 They began dating later that summer . - -05b3c1dabc314db387a3b149b70c4ba7 0 They became engaged in 1991 . - -adcb1e009c4240d9a19d71e33ff8fb6b 0 They were married on October 3 , 1992 . - +# The Akron Summit Assault team is based in Akron , Ohio in the U.S. -### STEP 3) DO SENTENCE SIMPLIFICATION ### +d5f9100b38eb446caff798a7998811e3 0 The Akron Summit Assault team is based in Akron , Ohio in the U.S. -DEACTIVATED -# Processing sentence 90/527 # +# Processing sentence 88/554 # -'The couple's first daughter, Malia Ann, was born in 1998, followed by a second daughter, Natasha (Sasha), in 2001.' +'A Severed Wasp was published in hardback , has the ISBN number 0-374-26131-8 and 388 pages .' ### Step 1) CREATE SENTENCE DISCOURSE TREE ### CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/ELABORATION (NULL, NonRestrictiveAppositionExtractor) - ├──────────────────s──────────────────> 'Malia Ann was the couple 's first daughter .' - └───n───> SUB/ELABORATION (NULL, NonRestrictiveAppositionExtractor) - ├─────────────s─────────────> 'Natasha was a second daughter .' - └───n───> SUB/TEMPORAL (NULL, PrepositionalMiddleFinalExtractor) - ├───s───> SUB/TEMPORAL (NULL, PrepositionalMiddleFinalExtractor) - | ├───s───> 'This was in 2001 .' - | └───n───> 'This was followed by a second daughter -LRB- Sasha -RRB- .' - └────────n────────> 'The couple 's first daughter was born in 1998 .' +└───n───> 'A Severed Wasp was published in hardback , has the ISBN number 0-374-26131-8 and 388 pages .' ### STEP 2) DO DISCOURSE EXTRACTION ### -# The couple's first daughter, Malia Ann, was born in 1998, followed by a second daughter, Natasha (Sasha), in 2001. - -0e5c0eae48a74bfcad5b52091e685731 0 The couple 's first daughter was born in 1998 . - L:TEMPORAL 269e80e21efc4efb8da893133eb584d0 - L:ELABORATION 766e746524b943fd8053096e0e2363fc - L:ELABORATION 9811516a1e014ea2b30aeed124fc58a7 - -269e80e21efc4efb8da893133eb584d0 1 This was followed by a second daughter -LRB- Sasha -RRB- . - S:TEMPORAL This was in 2001 . +# A Severed Wasp was published in hardback , has the ISBN number 0-374-26131-8 and 388 pages . -766e746524b943fd8053096e0e2363fc 1 Natasha was a second daughter . +de7a91b37a8740e5abe6fb644017049d 0 A Severed Wasp was published in hardback , has the ISBN number 0-374-26131-8 and 388 pages . -9811516a1e014ea2b30aeed124fc58a7 1 Malia Ann was the couple 's first daughter . +# Processing sentence 89/554 # -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 91/527 # - -'The Obama daughters attended the University of Chicago Laboratory Schools.' +'Live Nation Entertainment own 3Arena at North Wall in Dublin .' ### Step 1) CREATE SENTENCE DISCOURSE TREE ### CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> 'The Obama daughters attended the University of Chicago Laboratory Schools .' +└───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) + ├───s───> 'This is at North Wall in Dublin .' + └───n───> 'Live Nation Entertainment own 3Arena .' ### STEP 2) DO DISCOURSE EXTRACTION ### -# The Obama daughters attended the University of Chicago Laboratory Schools. +# Live Nation Entertainment own 3Arena at North Wall in Dublin . -3129c7bba9f844459936ce85183208d5 0 The Obama daughters attended the University of Chicago Laboratory Schools . +9a7d77dc363e4f598959db354b79f0f1 0 Live Nation Entertainment own 3Arena . + S:SPATIAL This is at North Wall in Dublin . -### STEP 3) DO SENTENCE SIMPLIFICATION ### +# Processing sentence 90/554 # -DEACTIVATED - -# Processing sentence 92/527 # - -'When they moved to Washington, D.C., in January 2009, the girls started at the Sidwell Friends School.' +'AEK Athens F.C. 's ground is in Athens , the mayor of Athens is Giorgos Kaminis .' ### Step 1) CREATE SENTENCE DISCOURSE TREE ### CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/BACKGROUND ('When', SubordinationPreExtractor) - ├───s───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) - | ├───s───> 'This was in January 2009 .' - | └───n───> 'They moved to Washington , D.C. .' - └────────n────────> 'The girls started at the Sidwell Friends School .' +└───n───> 'AEK Athens F.C. 's ground is in Athens , the mayor of Athens is Giorgos Kaminis .' ### STEP 2) DO DISCOURSE EXTRACTION ### -# When they moved to Washington, D.C., in January 2009, the girls started at the Sidwell Friends School. - -838275bf43704f34975bc641e6491776 0 The girls started at the Sidwell Friends School . - L:BACKGROUND d9acecd6dd484427aad31ca4d1047276 - -d9acecd6dd484427aad31ca4d1047276 1 They moved to Washington , D.C. . - S:TEMPORAL This was in January 2009 . +# AEK Athens F.C. 's ground is in Athens , the mayor of Athens is Giorgos Kaminis . +421456c656944774bb8a7d69240fceb9 0 AEK Athens F.C. 's ground is in Athens , the mayor of Athens is Giorgos Kaminis . -### STEP 3) DO SENTENCE SIMPLIFICATION ### -DEACTIVATED +# Processing sentence 91/554 # -# Processing sentence 93/527 # - -'The Obamas have two Portuguese Water Dogs; the first, a male named Bo, was a gift from Senator Ted Kennedy.' +'103 Colmore Row was designed by the architect John Madin , born in Birmingham whose leader is Labour politician John Clancy .' ### Step 1) CREATE SENTENCE DISCOURSE TREE ### CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> CO/UNKNOWN_COORDINATION (';', CoordinationExtractor) - ├──────────────────n──────────────────> 'The Obamas have two Portuguese Water Dogs .' +└───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) + ├──────────────────s──────────────────> 'John Madin was the architect .' └───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) - ├─────────────s─────────────> 'Ted Kennedy was a gift from Senator .' - └───n───> SUB/ELABORATION (NULL, NonRestrictiveAppositionExtractor) - ├───s───> SUB/UNKNOWN_SUBORDINATION ('', SubordinationPostExtractor) - | ├───n───> 'A male named .' - | └───s───> 'Bo was the first .' - └────────n────────> 'The first was Ted Kennedy .' + ├─────────────s─────────────> 'John Clancy was Labour politician .' + └───n───> SUB/UNKNOWN_SUBORDINATION ('', ParticipialMiddleExtractor) + ├────────n────────> '103 Colmore Row was designed by John Madin .' + └───s───> SUB/IDENTIFYING_DEFINITION (NULL, RestrictiveRelativeClauseWhoseExtractor) + ├───n───> 'John Madin was born in Birmingham .' + └───s───> 'Birmingham 's leader is John Clancy .' ### STEP 2) DO DISCOURSE EXTRACTION ### -# The Obamas have two Portuguese Water Dogs; the first, a male named Bo, was a gift from Senator Ted Kennedy. - -a7e5ff8b451f40669319fde21ff73742 0 The Obamas have two Portuguese Water Dogs . - -f0696775bcb94d72bac3b1812a01b126 0 The first was Ted Kennedy . - L:ELABORATION 90d24bf85c7644b18766d7cc12349048 - L:ELABORATION 4112367968514a88a9041b822bcca073 - -90d24bf85c7644b18766d7cc12349048 1 A male named . - L:UNKNOWN_SUBORDINATION e5649d2d51e946f585f0f03cf8727407 - -e5649d2d51e946f585f0f03cf8727407 2 Bo was the first . - -4112367968514a88a9041b822bcca073 1 Ted Kennedy was a gift from Senator . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 94/527 # - -'In 2013, Bo was joined by Sunny, a female.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/ELABORATION (NULL, NonRestrictiveAppositionExtractor) - ├────────s────────> 'Sunny was a female .' - └───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - ├───s───> 'This was in 2013 .' - └───n───> 'Bo was joined by Sunny .' - -### STEP 2) DO DISCOURSE EXTRACTION ### +# 103 Colmore Row was designed by the architect John Madin , born in Birmingham whose leader is Labour politician John Clancy . -# In 2013, Bo was joined by Sunny, a female. +f7c977b27be248508760b43c296ee35a 0 103 Colmore Row was designed by John Madin . + L:UNKNOWN_SUBORDINATION 99c74eedef50424882ee481cc7eb838a + L:ELABORATION 1e852e924c9e44a59654231e47723e7c + L:ELABORATION 46754306cb954057973dc304667cc801 -cd28902396ef418b92ff6364d2c2185a 0 Bo was joined by Sunny . - S:TEMPORAL This was in 2013 . - L:ELABORATION e0b2bac7ae5844d787feb346d1b710c4 +99c74eedef50424882ee481cc7eb838a 1 John Madin was born in Birmingham . + L:IDENTIFYING_DEFINITION b28e39773d3545f3a0dd05186ffefdbf -e0b2bac7ae5844d787feb346d1b710c4 1 Sunny was a female . +b28e39773d3545f3a0dd05186ffefdbf 2 Birmingham 's leader is John Clancy . +1e852e924c9e44a59654231e47723e7c 1 John Clancy was Labour politician . -### STEP 3) DO SENTENCE SIMPLIFICATION ### +46754306cb954057973dc304667cc801 1 John Madin was the architect . -DEACTIVATED -# Processing sentence 95/527 # +# Processing sentence 92/554 # -'In 2005, the family applied the proceeds of a book deal and moved from a Hyde Park, Chicago condominium to a $1.6 million house (equivalent to $2.0 million in 2017) in neighboring Kenwood, Chicago.' +'Adisham Hall which is located in Haputale , Sri Lanka has the architectural style Tudor Revival .' ### Step 1) CREATE SENTENCE DISCOURSE TREE ### CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> CO/LIST ('and', SharedNPPostCoordinationExtractor) - ├─────────────n─────────────> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - | ├───s───> 'This was in 2005 .' - | └───n───> 'The family applied the proceeds of a book deal .' - └───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) - ├─────────────s─────────────> 'This was in neighboring Kenwood , Chicago .' - └───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) - ├────────s────────> 'This was to a $ 1.6 million house -LRB- equivalent to $ 2.0 million in 2017 -RRB- .' - └───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - ├───s───> 'This was in 2005 .' - └───n───> 'The family moved from a Hyde Park , Chicago condominium .' +└───n───> 'Adisham Hall which is located in Haputale , Sri Lanka has the architectural style Tudor Revival .' ### STEP 2) DO DISCOURSE EXTRACTION ### -# In 2005, the family applied the proceeds of a book deal and moved from a Hyde Park, Chicago condominium to a $1.6 million house (equivalent to $2.0 million in 2017) in neighboring Kenwood, Chicago. - -dc57a4bbfcab4c99a5cff8e94a01f612 0 The family applied the proceeds of a book deal . - S:TEMPORAL This was in 2005 . - L:LIST f6c8c2e433494aceb130c5503eec9a5b +# Adisham Hall which is located in Haputale , Sri Lanka has the architectural style Tudor Revival . -f6c8c2e433494aceb130c5503eec9a5b 0 The family moved from a Hyde Park , Chicago condominium . - S:TEMPORAL This was in 2005 . - S:TEMPORAL This was to a $ 1.6 million house -LRB- equivalent to $ 2.0 million in 2017 -RRB- . - S:SPATIAL This was in neighboring Kenwood , Chicago . - L:LIST dc57a4bbfcab4c99a5cff8e94a01f612 +d507c81bf7a74b4e8f6f09325d1617eb 0 Adisham Hall which is located in Haputale , Sri Lanka has the architectural style Tudor Revival . -### STEP 3) DO SENTENCE SIMPLIFICATION ### +# Processing sentence 93/554 # -DEACTIVATED - -# Processing sentence 96/527 # - -'The purchase of an adjacent lot—and sale of part of it to Obama by the wife of developer, campaign donor and friend Tony Rezko—attracted media attention because of Rezko's subsequent indictment and conviction on political corruption charges that were unrelated to Obama.' +'Buzz Aldrin was an American crew member on Apollo 11 , having been born in Glen Ridge , New Jersey .' ### Step 1) CREATE SENTENCE DISCOURSE TREE ### CO/UNKNOWN_COORDINATION (NULL, ROOT) └───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) - ├──────────────────s──────────────────> 'Tony Rezko was campaign donor and friend .' + ├─────────────s─────────────> 'Aldrin was Buzz .' └───n───> SUB/ELABORATION (NULL, NonRestrictiveAppositionExtractor) - ├─────────────s─────────────> 'Tony Rezko was developer .' - └───n───> SUB/IDENTIFYING_DEFINITION ('that', RestrictiveRelativeClauseWhoWhichExtractor) - ├───n───> CO/LIST (NULL, PostListNPExtractor) - | ├───n───> 'The purchase of an adjacent lot -- and sale of part of it to Obama by the wife of developer -- attracted media attention because of Rezko 's subsequent indictment .' - | └───n───> 'The purchase of an adjacent lot -- and sale of part of it to Obama by the wife of developer -- attracted media attention because of conviction on political corruption charges .' - └────────s────────> 'Rezko 's subsequent indictment and conviction on political corruption charges were unrelated to Obama .' + ├────────s────────> 'Glen Ridge was New Jersey .' + └───n───> CO/UNKNOWN_COORDINATION (NULL, SharedNPPostParticipalExtractor) + ├───n───> 'Aldrin was an American crew member on Apollo 11 .' + └───n───> 'Aldrin was having been born in Glen Ridge .' ### STEP 2) DO DISCOURSE EXTRACTION ### -# The purchase of an adjacent lot—and sale of part of it to Obama by the wife of developer, campaign donor and friend Tony Rezko—attracted media attention because of Rezko's subsequent indictment and conviction on political corruption charges that were unrelated to Obama. - -a9b857f3a0814f11a6b4365006ef2f1b 0 The purchase of an adjacent lot -- and sale of part of it to Obama by the wife of developer -- attracted media attention because of Rezko 's subsequent indictment . - L:LIST 5881e53e46f24ac7be36af9bbd770639 - L:IDENTIFYING_DEFINITION 5a04fa1fc69b4f0daaaacbc1452e852d - L:ELABORATION 09db8ee1dc8a40e5bf3a8c5bb645205d - L:ELABORATION 02d9dc8e44a0480a8df8635a4b9fc9ba +# Buzz Aldrin was an American crew member on Apollo 11 , having been born in Glen Ridge , New Jersey . -5881e53e46f24ac7be36af9bbd770639 0 The purchase of an adjacent lot -- and sale of part of it to Obama by the wife of developer -- attracted media attention because of conviction on political corruption charges . - L:LIST a9b857f3a0814f11a6b4365006ef2f1b - L:IDENTIFYING_DEFINITION 5a04fa1fc69b4f0daaaacbc1452e852d - L:ELABORATION 09db8ee1dc8a40e5bf3a8c5bb645205d - L:ELABORATION 02d9dc8e44a0480a8df8635a4b9fc9ba +94be987a0a864ea1ab8438d3f8a1b574 0 Aldrin was an American crew member on Apollo 11 . + L:ELABORATION fab583d6cf034706b455c46eaa0da816 + L:ELABORATION b0faba3d885e41f1b22cef57ee687bc0 -5a04fa1fc69b4f0daaaacbc1452e852d 1 Rezko 's subsequent indictment and conviction on political corruption charges were unrelated to Obama . +cf29a9d1b7df41979b19653a7de3b217 0 Aldrin was having been born in Glen Ridge . + L:ELABORATION fab583d6cf034706b455c46eaa0da816 + L:ELABORATION b0faba3d885e41f1b22cef57ee687bc0 -09db8ee1dc8a40e5bf3a8c5bb645205d 1 Tony Rezko was developer . +fab583d6cf034706b455c46eaa0da816 1 Glen Ridge was New Jersey . -02d9dc8e44a0480a8df8635a4b9fc9ba 1 Tony Rezko was campaign donor and friend . +b0faba3d885e41f1b22cef57ee687bc0 1 Aldrin was Buzz . -### STEP 3) DO SENTENCE SIMPLIFICATION ### +# Processing sentence 94/554 # -DEACTIVATED - -# Processing sentence 97/527 # - -'In December 2007, Money Magazine estimated Obama's net worth at $1.3 million.' +'AC Cesena ground is in Cesena and they play in the Serie B league whose champions are Carpi FC 1909 .' ### Step 1) CREATE SENTENCE DISCOURSE TREE ### CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) - ├────────s────────> 'This was at $ 1.3 million .' - └───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - ├───s───> 'This was in December 2007 .' - └───n───> 'Money Magazine estimated Obama 's net worth .' +└───n───> CO/LIST ('and', CoordinationExtractor) + ├────────n────────> 'AC Cesena ground is in Cesena .' + └───n───> SUB/IDENTIFYING_DEFINITION (NULL, RestrictiveRelativeClauseWhoseExtractor) + ├───n───> 'They play in the Serie B league .' + └───s───> 'The Serie B league 's champions are Carpi FC 1909 .' ### STEP 2) DO DISCOURSE EXTRACTION ### -# In December 2007, Money Magazine estimated Obama's net worth at $1.3 million. +# AC Cesena ground is in Cesena and they play in the Serie B league whose champions are Carpi FC 1909 . -cab1c39ebad446068c3307e7def8269e 0 Money Magazine estimated Obama 's net worth . - S:TEMPORAL This was in December 2007 . - S:TEMPORAL This was at $ 1.3 million . +9a5b590a5cbf450c8c93fa00651355e4 0 AC Cesena ground is in Cesena . + L:LIST 4773785047944c158a5966e97df39046 +4773785047944c158a5966e97df39046 0 They play in the Serie B league . + L:IDENTIFYING_DEFINITION f431e5638311419391e8c952463381b1 + L:LIST 9a5b590a5cbf450c8c93fa00651355e4 -### STEP 3) DO SENTENCE SIMPLIFICATION ### +f431e5638311419391e8c952463381b1 1 The Serie B league 's champions are Carpi FC 1909 . -DEACTIVATED -# Processing sentence 98/527 # +# Processing sentence 95/554 # -'Their 2009 tax return showed a household income of $5.5 million—up from about $4.2 million in 2007 and $1.6 million in 2005—mostly from sales of his books.' +'A.E Dimitra Efxeinoupolis is located in Greece , where Athens in the capital and Nikos Voutsis and Prokopis Pavlopoulos are leaders .' ### Step 1) CREATE SENTENCE DISCOURSE TREE ### CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> CO/LIST (NULL, PostListNPExtractor) - ├───n───> 'Their 2009 tax return showed a household income of $ 5.5 million -- up from about $ 4.2 million in 2007 -- mostly from sales of his books .' - └───n───> 'Their 2009 tax return showed a household income of $ 5.5 million -- up from $ 1.6 million in 2005 -- mostly from sales of his books .' +└───n───> SUB/SPATIAL (NULL, NonRestrictiveRelativeClauseWhereExtractor) + ├───n───> 'A.E Dimitra Efxeinoupolis is located in Greece .' + └───s───> 'Athens in the capital and Nikos Voutsis and Prokopis Pavlopoulos are leaders .' ### STEP 2) DO DISCOURSE EXTRACTION ### -# Their 2009 tax return showed a household income of $5.5 million—up from about $4.2 million in 2007 and $1.6 million in 2005—mostly from sales of his books. - -fa3031f8e1694192a1d6f07c49479ae4 0 Their 2009 tax return showed a household income of $ 5.5 million -- up from about $ 4.2 million in 2007 -- mostly from sales of his books . - L:LIST 1f0784c9204846f48875e24edad61476 +# A.E Dimitra Efxeinoupolis is located in Greece , where Athens in the capital and Nikos Voutsis and Prokopis Pavlopoulos are leaders . -1f0784c9204846f48875e24edad61476 0 Their 2009 tax return showed a household income of $ 5.5 million -- up from $ 1.6 million in 2005 -- mostly from sales of his books . - L:LIST fa3031f8e1694192a1d6f07c49479ae4 +8b37b22956de42c4b8570f80239e9be8 0 A.E Dimitra Efxeinoupolis is located in Greece . + L:SPATIAL b156def22b5b4d31b42ce1e4df0c6536 +b156def22b5b4d31b42ce1e4df0c6536 1 Athens in the capital and Nikos Voutsis and Prokopis Pavlopoulos are leaders . -### STEP 3) DO SENTENCE SIMPLIFICATION ### -DEACTIVATED +# Processing sentence 96/554 # -# Processing sentence 99/527 # - -'On his 2010 income of $1.7 million, he gave 14% to non-profit organizations, including $131,000 to Fisher House Foundation, a charity assisting wounded veterans' families, allowing them to reside near where the veteran is receiving medical treatments.' +'The 200 Public Square has 45 floors and was completed in 1985 and is located in Cleveland .' ### Step 1) CREATE SENTENCE DISCOURSE TREE ### CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/ELABORATION (NULL, NonRestrictiveAppositionExtractor) - ├──────────────────s──────────────────> SUB/IDENTIFYING_DEFINITION ('', RestrictiveParticipialExtractor) - | ├───n───> 'Fisher House Foundation was a charity .' - | └───s───> 'A charity was assisting wounded veterans ' families .' - └───n───> CO/UNKNOWN_COORDINATION (NULL, SharedNPPostParticipalExtractor) - ├───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - | ├─────────────s─────────────> 'This was to non-profit organizations .' - | └───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - | ├────────s────────> 'This was on his 2010 income of $ 1.7 million .' - | └───n───> SUB/TEMPORAL (NULL, PrepositionalMiddleFinalExtractor) - | ├───s───> 'This was including $ 131,000 to Fisher House Foundation .' - | └───n───> 'He gave 14 % .' - └─────────────n─────────────> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - ├───s───> 'This was on his 2010 income of $ 1.7 million .' - └───n───> 'He was allowing them to reside near where the veteran is receiving medical treatments .' +└───n───> CO/LIST ('and', SharedNPPostCoordinationExtractor) + ├────────n────────> 'The 200 Public Square has 45 floors .' + └───n───> CO/LIST ('and', SharedNPPostCoordinationExtractor) + ├───n───> 'The 200 Public Square was completed in 1985 .' + └───n───> 'The 200 Public Square is located in Cleveland .' ### STEP 2) DO DISCOURSE EXTRACTION ### -# On his 2010 income of $1.7 million, he gave 14% to non-profit organizations, including $131,000 to Fisher House Foundation, a charity assisting wounded veterans' families, allowing them to reside near where the veteran is receiving medical treatments. - -7ed58117281b4d7da74abd82cc2f10ce 0 He gave 14 % . - S:TEMPORAL This was including $ 131,000 to Fisher House Foundation . - S:TEMPORAL This was on his 2010 income of $ 1.7 million . - S:UNKNOWN_SUBORDINATION This was to non-profit organizations . - L:ELABORATION 2d858fe2d5e845708a21d0f365748e01 +# The 200 Public Square has 45 floors and was completed in 1985 and is located in Cleveland . -b790ef6a346647aaae7c5712be334887 0 He was allowing them to reside near where the veteran is receiving medical treatments . - S:TEMPORAL This was on his 2010 income of $ 1.7 million . - L:ELABORATION 2d858fe2d5e845708a21d0f365748e01 +f8f5866fd66d4568b3ccc0f1c0d7edd5 0 The 200 Public Square has 45 floors . + L:LIST 5dd6bc7836f24abebcc55b53a29f3bf2 + L:LIST 242577949cd94b70a18aa317b4220f92 -2d858fe2d5e845708a21d0f365748e01 1 Fisher House Foundation was a charity . - L:IDENTIFYING_DEFINITION 7de29456d2c440ec87e63e8654156a1e +5dd6bc7836f24abebcc55b53a29f3bf2 0 The 200 Public Square was completed in 1985 . + L:LIST 242577949cd94b70a18aa317b4220f92 + L:LIST f8f5866fd66d4568b3ccc0f1c0d7edd5 -7de29456d2c440ec87e63e8654156a1e 2 A charity was assisting wounded veterans ' families . +242577949cd94b70a18aa317b4220f92 0 The 200 Public Square is located in Cleveland . + L:LIST 5dd6bc7836f24abebcc55b53a29f3bf2 + L:LIST f8f5866fd66d4568b3ccc0f1c0d7edd5 -### STEP 3) DO SENTENCE SIMPLIFICATION ### +# Processing sentence 97/554 # -DEACTIVATED - -# Processing sentence 100/527 # - -'Per his 2012 financial disclosure, Obama may be worth as much as $10 million.' +'American Alan Bean was born in Wheeler Texas .' ### Step 1) CREATE SENTENCE DISCOURSE TREE ### CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - ├───s───> 'This is per his 2012 financial disclosure .' - └───n───> 'Obama may be worth as much as $ 10 million .' +└───n───> 'American Alan Bean was born in Wheeler Texas .' ### STEP 2) DO DISCOURSE EXTRACTION ### -# Per his 2012 financial disclosure, Obama may be worth as much as $10 million. - -9a27cbc1084e4e72aaaf5ce0944d15b3 0 Obama may be worth as much as $ 10 million . - S:TEMPORAL This is per his 2012 financial disclosure . - +# American Alan Bean was born in Wheeler Texas . -### STEP 3) DO SENTENCE SIMPLIFICATION ### +908b3a238925425fb85cc9577f7d9200 0 American Alan Bean was born in Wheeler Texas . -DEACTIVATED -# Processing sentence 101/527 # +# Processing sentence 98/554 # -'In early 2010, Michelle spoke about her husband's smoking habit and said that Barack had quit smoking.' +'A Wizard of Mars was written by Diane Duane and published in hardback with 560 pages .' ### Step 1) CREATE SENTENCE DISCOURSE TREE ### CO/UNKNOWN_COORDINATION (NULL, ROOT) └───n───> CO/LIST ('and', SharedNPPostCoordinationExtractor) - ├───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - | ├───s───> 'This was in early 2010 .' - | └───n───> 'Michelle spoke about her husband 's smoking habit .' - └───n───> SUB/ATTRIBUTION (NULL, SubordinationPostAttributionExtractor2) - ├───s───> 'This was what Michelle said in early 2010 .' - └───n───> 'Barack had quit smoking .' + ├────────n────────> 'A Wizard of Mars was written by Diane Duane .' + └───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) + ├───s───> 'This was with 560 pages .' + └───n───> 'A Wizard of Mars was published in hardback .' ### STEP 2) DO DISCOURSE EXTRACTION ### -# In early 2010, Michelle spoke about her husband's smoking habit and said that Barack had quit smoking. - -a9ddf68e75774eeabccd6d97f34e9be6 0 Michelle spoke about her husband 's smoking habit . - S:TEMPORAL This was in early 2010 . - L:LIST 1179b8f45cf547df8459fabc1cfc2af2 +# A Wizard of Mars was written by Diane Duane and published in hardback with 560 pages . -1179b8f45cf547df8459fabc1cfc2af2 0 Barack had quit smoking . - S:ATTRIBUTION This was what Michelle said in early 2010 . - L:LIST a9ddf68e75774eeabccd6d97f34e9be6 +6f94a3a4e6c544fabfae6ee89ebd4128 0 A Wizard of Mars was written by Diane Duane . + L:LIST 52e6c91cc7674d57942fe4b6cdf271dc +52e6c91cc7674d57942fe4b6cdf271dc 0 A Wizard of Mars was published in hardback . + S:TEMPORAL This was with 560 pages . + L:LIST 6f94a3a4e6c544fabfae6ee89ebd4128 -### STEP 3) DO SENTENCE SIMPLIFICATION ### -DEACTIVATED +# Processing sentence 99/554 # -# Processing sentence 102/527 # - -'On his 55th birthday, August 4, 2016, Obama penned an essay in Glamour, in which he described how his daughters and the presidency have made him a feminist.' +'Alan Shephard died on the 21st of July , 1998 in California -LRB- whose Senator was Dianne Feinstein -RRB- .' ### Step 1) CREATE SENTENCE DISCOURSE TREE ### CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/DESCRIBING_DEFINITION ('in which', NonRestrictiveRelativeClausePrepWhichWhoExtractor) - ├───n───> SUB/ELABORATION (NULL, NonRestrictiveAppositionExtractor) - | ├────────s────────> 'His 55th birthday was August 4 , 2016 .' - | └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalInitialExtractor) - | ├───s───> 'This was on his 55th birthday .' - | └───n───> 'Obama penned an essay in Glamour .' - └────────s────────> SUB/ATTRIBUTION (NULL, SubordinationPostAttributionExtractor) - ├───s───> 'This was what he described .' - └───n───> 'How his daughters and the presidency have made him a feminist in Glamour .' +└───n───> SUB/ELABORATION (NULL, NonRestrictiveAppositionExtractor) + ├───s───> 'The 21st of July was 1998 in California .' + └───n───> 'Alan Shephard died on the 21st of July -LRB- whose Senator was Dianne Feinstein -RRB- .' ### STEP 2) DO DISCOURSE EXTRACTION ### -# On his 55th birthday, August 4, 2016, Obama penned an essay in Glamour, in which he described how his daughters and the presidency have made him a feminist. - -ce0e542f95db40e8af7cfa7882f41399 0 Obama penned an essay in Glamour . - S:UNKNOWN_SUBORDINATION This was on his 55th birthday . - L:ELABORATION e9e6e9c5cabb4669acdbbd9aada84de7 - L:DESCRIBING_DEFINITION 3188a2ea50274098babf28458e667539 - -e9e6e9c5cabb4669acdbbd9aada84de7 1 His 55th birthday was August 4 , 2016 . - -3188a2ea50274098babf28458e667539 1 How his daughters and the presidency have made him a feminist in Glamour . - S:ATTRIBUTION This was what he described . +# Alan Shephard died on the 21st of July , 1998 in California -LRB- whose Senator was Dianne Feinstein -RRB- . +acbed12e3eb7459081b9924887522b24 0 Alan Shephard died on the 21st of July -LRB- whose Senator was Dianne Feinstein -RRB- . + L:ELABORATION 02ddb3cf13044abaa0e7e30785414e64 -### STEP 3) DO SENTENCE SIMPLIFICATION ### +02ddb3cf13044abaa0e7e30785414e64 1 The 21st of July was 1998 in California . -DEACTIVATED -# Processing sentence 103/527 # +# Processing sentence 100/554 # -'Obama is a Protestant Christian whose religious views developed in his adult life.' +'Elliot See was born in 1927 and graduated from the University of Texas at Austin who are competing in the Big 12 Conference .' ### Step 1) CREATE SENTENCE DISCOURSE TREE ### CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/IDENTIFYING_DEFINITION (NULL, RestrictiveRelativeClauseWhoseExtractor) - ├───n───> 'Obama is a Protestant Christian .' - └───s───> 'A Protestant Christian 's religious developed in his adult life .' +└───n───> CO/LIST ('and', SharedNPPostCoordinationExtractor) + ├───n───> SUB/IDENTIFYING_DEFINITION ('who', RestrictiveRelativeClauseWhoWhichExtractor) + | ├───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) + | | ├───s───> 'This was at Austin .' + | | └───n───> 'Elliot See was born in 1927 .' + | └────────s────────> 'Austin are competing in the Big 12 Conference .' + └───n───> SUB/IDENTIFYING_DEFINITION ('who', RestrictiveRelativeClauseWhoWhichExtractor) + ├───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) + | ├───s───> 'This was at Austin .' + | └───n───> 'Elliot See was graduated from the University of Texas .' + └────────s────────> 'Austin are competing in the Big 12 Conference .' ### STEP 2) DO DISCOURSE EXTRACTION ### -# Obama is a Protestant Christian whose religious views developed in his adult life. +# Elliot See was born in 1927 and graduated from the University of Texas at Austin who are competing in the Big 12 Conference . -cc2d9344e7384fdca8276d9bd4ba3708 0 Obama is a Protestant Christian . - L:IDENTIFYING_DEFINITION f6de68ca1bfa45a78ce8a11156d77668 +e146a9b9664a4be485837f4606ca4e0e 0 Elliot See was born in 1927 . + S:SPATIAL This was at Austin . + L:IDENTIFYING_DEFINITION 045a05acc5c842cdb21a0f4814a8b35f + L:LIST 540c015a04b54f079da71da05c8cd315 -f6de68ca1bfa45a78ce8a11156d77668 1 A Protestant Christian 's religious developed in his adult life . +045a05acc5c842cdb21a0f4814a8b35f 1 Austin are competing in the Big 12 Conference . +540c015a04b54f079da71da05c8cd315 0 Elliot See was graduated from the University of Texas . + S:SPATIAL This was at Austin . + L:IDENTIFYING_DEFINITION c26f428e13db4c6cbcc39ec50ddb7f60 + L:LIST e146a9b9664a4be485837f4606ca4e0e -### STEP 3) DO SENTENCE SIMPLIFICATION ### +c26f428e13db4c6cbcc39ec50ddb7f60 1 Austin are competing in the Big 12 Conference . -DEACTIVATED -# Processing sentence 104/527 # +# Processing sentence 101/554 # -'He wrote in The Audacity of Hope that he was not raised in a religious household.' +'11 Diagonal Street is located in South Africa , where the leader is called Jacob Zuma .' ### Step 1) CREATE SENTENCE DISCOURSE TREE ### CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/UNKNOWN_SUBORDINATION ('that', SubordinationPostExtractor) - ├───n───> 'He wrote in The Audacity of Hope .' - └───s───> 'He was not raised in a religious household .' +└───n───> SUB/SPATIAL (NULL, NonRestrictiveRelativeClauseWhereExtractor) + ├───n───> '11 Diagonal Street is located in South Africa .' + └───s───> 'The leader is called Jacob Zuma .' ### STEP 2) DO DISCOURSE EXTRACTION ### -# He wrote in The Audacity of Hope that he was not raised in a religious household. - -472f903b210b4157bddaf1e4a41875ee 0 He wrote in The Audacity of Hope . - L:UNKNOWN_SUBORDINATION bd7d5845d4ad41edb04b620c471ff3d5 - -bd7d5845d4ad41edb04b620c471ff3d5 1 He was not raised in a religious household . +# 11 Diagonal Street is located in South Africa , where the leader is called Jacob Zuma . +29dca1ae054143118705f77da9b7e9d0 0 11 Diagonal Street is located in South Africa . + L:SPATIAL ec0118f6d0e542248996a479d7ce40b5 -### STEP 3) DO SENTENCE SIMPLIFICATION ### +ec0118f6d0e542248996a479d7ce40b5 1 The leader is called Jacob Zuma . -DEACTIVATED -# Processing sentence 105/527 # +# Processing sentence 102/554 # -'He described his mother, raised by non-religious parents, as being detached from religion, yet in many ways the most spiritually awakened person that I have ever known.' +'300 North LaSalle , Chicago is 120770.0 square metres , completed in 2009 , and has 60 floors .' ### Step 1) CREATE SENTENCE DISCOURSE TREE ### CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/BACKGROUND (NULL, SharedNPPostParticipalExtractor) - ├────────n────────> SUB/UNKNOWN_SUBORDINATION ('', ParticipialMiddleExtractor) - | ├───n───> 'He described his mother .' - | └───s───> 'His mother was raised by non-religious parents .' - └───s───> SUB/UNKNOWN_SUBORDINATION ('that', SubordinationPostExtractor) - ├───n───> SUB/UNKNOWN_SUBORDINATION (NULL, AdjectivalAdverbialMiddleFinalExtractor) - | ├───s───> 'This was yet in many ways .' - | └───n───> 'He was being detached from religion the most spiritually awakened person .' - └────────s────────> 'I have ever known .' +└───n───> CO/LIST (', and', SharedNPPostCoordinationExtractor) + ├───n───> '300 North LaSalle , Chicago is 120770.0 square metres , completed in 2009 .' + └───n───> '300 North LaSalle , Chicago is 120770.0 square metres , has 60 floors .' ### STEP 2) DO DISCOURSE EXTRACTION ### -# He described his mother, raised by non-religious parents, as being detached from religion, yet in many ways the most spiritually awakened person that I have ever known. - -1336a6fb8b224c4b9dc74745f94ad6bb 0 He described his mother . - L:UNKNOWN_SUBORDINATION 6c2009e41e3342e09f75aa11717b0113 - L:BACKGROUND 37869e92f7de46b5bab34e429a9dad5f - -6c2009e41e3342e09f75aa11717b0113 1 His mother was raised by non-religious parents . - -37869e92f7de46b5bab34e429a9dad5f 1 He was being detached from religion the most spiritually awakened person . - S:UNKNOWN_SUBORDINATION This was yet in many ways . - L:UNKNOWN_SUBORDINATION dcd2ea2c260b4f58b304114e4ede80a7 +# 300 North LaSalle , Chicago is 120770.0 square metres , completed in 2009 , and has 60 floors . -dcd2ea2c260b4f58b304114e4ede80a7 2 I have ever known . +26694dc6f63c4ef8af8e75145efa1954 0 300 North LaSalle , Chicago is 120770.0 square metres , completed in 2009 . + L:LIST 687aabf5ff514b90afc8573036744c3e +687aabf5ff514b90afc8573036744c3e 0 300 North LaSalle , Chicago is 120770.0 square metres , has 60 floors . + L:LIST 26694dc6f63c4ef8af8e75145efa1954 -### STEP 3) DO SENTENCE SIMPLIFICATION ### -DEACTIVATED +# Processing sentence 103/554 # -# Processing sentence 106/527 # - -'He described his father as a confirmed atheist by the time his parents met, and his stepfather as a man who saw religion as not particularly useful.' +'AFC Ajax -LRB- amateur -RRB- play as Sportpark De Toekomst , which is owned by AFC Ajax N.V , with Jong Ajax as the tenant .' ### Step 1) CREATE SENTENCE DISCOURSE TREE ### CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/IDENTIFYING_DEFINITION ('who', RestrictiveRelativeClauseWhoWhichExtractor) - ├───n───> CO/LIST (', and', SharedNPPostCoordinationExtractor) - | ├────────n────────> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - | | ├─────────────s─────────────> 'This was as a confirmed atheist .' - | | └───n───> SUB/IDENTIFYING_DEFINITION ('', RestrictiveRelativeClauseWithoutRelativePronounExtractor) - | | ├───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - | | | ├───s───> 'This was by the time .' - | | | └───n───> 'He described his father .' - | | └────────s────────> 'His parents met the time .' - | └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - | ├──────────────────s──────────────────> 'This was as a confirmed atheist .' - | └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - | ├─────────────s─────────────> 'This was by the time .' - | └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - | ├───s───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - | | ├───s───> 'This was his stepfather as a man .' - | | └───n───> 'This was his parents .' - | └────────n────────> 'He described his father .' - └────────────────────────────s────────────────────────────> 'A man saw religion as not particularly useful .' +└───n───> SUB/DESCRIBING_DEFINITION ('which', NonRestrictiveRelativeClauseWhoWhichExtractor) + ├────────n────────> 'AFC Ajax -LRB- amateur -RRB- play as Sportpark De Toekomst .' + └───s───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalMiddleFinalExtractor) + ├───s───> 'This was with Jong Ajax as the tenant .' + └───n───> 'Sportpark De Toekomst is owned by AFC Ajax N.V .' ### STEP 2) DO DISCOURSE EXTRACTION ### -# He described his father as a confirmed atheist by the time his parents met, and his stepfather as a man who saw religion as not particularly useful. +# AFC Ajax -LRB- amateur -RRB- play as Sportpark De Toekomst , which is owned by AFC Ajax N.V , with Jong Ajax as the tenant . -a54577b0d6b1450db9db99a2dd6c2c81 0 He described his father . - S:UNKNOWN_SUBORDINATION This was by the time . - S:UNKNOWN_SUBORDINATION This was as a confirmed atheist . - L:IDENTIFYING_DEFINITION 07a1ac90163c409280c76234290926e3 - L:LIST 5fdf6da7de5f4bed8c5d7b0b06413be7 - L:IDENTIFYING_DEFINITION 3dd86955c8e742e887aa4a81c58a2935 +a396ddff7e264806b4afa9e4cecbe9c4 0 AFC Ajax -LRB- amateur -RRB- play as Sportpark De Toekomst . + L:DESCRIBING_DEFINITION 8d664ac35ecf440894d637e616a3f325 -07a1ac90163c409280c76234290926e3 1 His parents met the time . +8d664ac35ecf440894d637e616a3f325 1 Sportpark De Toekomst is owned by AFC Ajax N.V . + S:UNKNOWN_SUBORDINATION This was with Jong Ajax as the tenant . -5fdf6da7de5f4bed8c5d7b0b06413be7 0 He described his father . - S:UNKNOWN_SUBORDINATION This was by the time . - S:UNKNOWN_SUBORDINATION This was as a confirmed atheist . - L:UNKNOWN_SUBORDINATION 605c99d8a5254f11a70f2f508b87375d - L:LIST a54577b0d6b1450db9db99a2dd6c2c81 - L:IDENTIFYING_DEFINITION 3dd86955c8e742e887aa4a81c58a2935 -605c99d8a5254f11a70f2f508b87375d 1 This was his parents . - S:UNKNOWN_SUBORDINATION This was his stepfather as a man . +# Processing sentence 104/554 # -3dd86955c8e742e887aa4a81c58a2935 1 A man saw religion as not particularly useful . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 107/527 # - -'Obama explained how, through working with black churches as a community organizer while in his twenties, he came to understand the power of the African-American religious tradition to spur social change.' +'Alan Bean joined NASA in 1963 where he became a member of the Apollo 12 mission along with Alfred Worden as back up pilot and David Scott as commander .' ### Step 1) CREATE SENTENCE DISCOURSE TREE ### CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> CO/UNKNOWN_COORDINATION (NULL, SharedNPPostParticipalExtractor) - ├─────────────n─────────────> 'Obama explained how .' - └───n───> CO/CONTRAST ('while', SubordinationPostExtractor) - ├───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - | ├───s───> 'This was as a community organizer .' - | └───n───> 'Obama was working with black churches .' - └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalInitialExtractor) - ├───s───> 'This was in his twenties .' - └───n───> 'He came to understand the power of the African-American religious tradition to spur social change .' +└───n───> SUB/ELABORATION ('where', SubordinationPostExtractor) + ├─────────────n─────────────> 'Alan Bean joined NASA in 1963 .' + └───s───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + ├───s───> CO/LIST (NULL, PostListNPExtractor) + | ├───n───> 'This was as back up pilot .' + | └───n───> 'This was as back up David Scott .' + └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + ├───s───> 'This was along with Alfred Worden as commander .' + └───n───> 'He became a member of the Apollo 12 mission .' ### STEP 2) DO DISCOURSE EXTRACTION ### -# Obama explained how, through working with black churches as a community organizer while in his twenties, he came to understand the power of the African-American religious tradition to spur social change. - -f3336d094ab941238cce97dcf4bbd033 0 Obama explained how . - -4ab5660c21964bbe81ca0a7895b70f9b 0 Obama was working with black churches . - S:UNKNOWN_SUBORDINATION This was as a community organizer . - L:CONTRAST 8bfca295671b449b962df82281706c0f - -8bfca295671b449b962df82281706c0f 0 He came to understand the power of the African-American religious tradition to spur social change . - S:UNKNOWN_SUBORDINATION This was in his twenties . - L:CONTRAST 4ab5660c21964bbe81ca0a7895b70f9b - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 108/527 # - -'In January 2008, Obama told Christianity Today: I am a Christian, and I am a devout Christian.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> CO/UNKNOWN_COORDINATION (':', CoordinationExtractor) - ├───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - | ├───s───> 'This was in January 2008 .' - | └───n───> 'Obama told Christianity Today .' - └───n───> CO/LIST (', and', CoordinationExtractor) - ├───n───> 'I am a Christian .' - └───n───> 'I am a devout Christian .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# In January 2008, Obama told Christianity Today: I am a Christian, and I am a devout Christian. - -d250db44139d43dcb8e24fbfaf12074e 0 Obama told Christianity Today . - S:TEMPORAL This was in January 2008 . - -1b9c4e8c2d6448f78fd7b776e71df1c6 0 I am a Christian . - L:LIST 06d4acc8a6b5456ea3d742e7d536873c - -06d4acc8a6b5456ea3d742e7d536873c 0 I am a devout Christian . - L:LIST 1b9c4e8c2d6448f78fd7b776e71df1c6 - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 109/527 # - -'I believe in the redemptive death and resurrection of Jesus Christ.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> 'I believe in the redemptive death and resurrection of Jesus Christ .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# I believe in the redemptive death and resurrection of Jesus Christ. - -2450ed4e322d40eeb400b80b90ea811d 0 I believe in the redemptive death and resurrection of Jesus Christ . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 110/527 # - -'I believe that faith gives me a path to be cleansed of sin and have eternal life.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/ATTRIBUTION (NULL, SubordinationPostAttributionExtractor2) - ├───s───> 'This is what i believe .' - └───n───> 'Faith gives me a path to be cleansed of sin and have eternal life .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# I believe that faith gives me a path to be cleansed of sin and have eternal life. - -f3f3906a50ba43e38ebd9f6f59666758 0 Faith gives me a path to be cleansed of sin and have eternal life . - S:ATTRIBUTION This is what i believe . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 111/527 # - -'On September 27, 2010, Obama released a statement commenting on his religious views saying, I'm a Christian by choice.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/IDENTIFYING_DEFINITION ('', RestrictiveParticipialExtractor) - ├───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - | ├───s───> 'This is on September 27 , 2010 .' - | └───n───> 'Obama released a statement , I 'm a Christian by choice .' - └───s───> CO/UNKNOWN_COORDINATION (NULL, SharedNPPostParticipalExtractor) - ├───n───> 'A statement is commenting on his religious views .' - └───n───> 'A statement is saying .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# On September 27, 2010, Obama released a statement commenting on his religious views saying, I'm a Christian by choice. - -45d43ea54c674b5380b7b45239d0823c 0 Obama released a statement , I 'm a Christian by choice . - S:TEMPORAL This is on September 27 , 2010 . - L:IDENTIFYING_DEFINITION fd7be1b67ad44da4964997a6b7a2d391 - L:IDENTIFYING_DEFINITION 5bcf6ac866154603a7ed54e1a0112fcd - -fd7be1b67ad44da4964997a6b7a2d391 1 A statement is commenting on his religious views . - -5bcf6ac866154603a7ed54e1a0112fcd 1 A statement is saying . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 112/527 # - -'My family didn't – frankly, they weren't folks who went to church every week.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> CO/UNKNOWN_COORDINATION ('--', CoordinationExtractor) - ├─────────────n─────────────> 'My family did n't .' - └───n───> SUB/IDENTIFYING_DEFINITION ('who', RestrictiveRelativeClauseWhoWhichExtractor) - ├───n───> SUB/UNKNOWN_SUBORDINATION (NULL, AdjectivalAdverbialInitialExtractor) - | ├───s───> 'This was frankly .' - | └───n───> 'They were n't folks .' - └────────s────────> 'Folks went to church every week .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# My family didn't – frankly, they weren't folks who went to church every week. - -3af549a78a674bb99707472bfb55dbe7 0 My family did n't . - -4d02606485ea4276b1fdfaab18e0ba09 0 They were n't folks . - S:UNKNOWN_SUBORDINATION This was frankly . - L:IDENTIFYING_DEFINITION 8606cba6cb0547cba187406631bdc6cb - -8606cba6cb0547cba187406631bdc6cb 1 Folks went to church every week . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 113/527 # - -'And my mother was one of the most spiritual people I knew, but she didn't raise me in the church.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> CO/CONTRAST (', but', CoordinationExtractor) - ├───n───> SUB/IDENTIFYING_DEFINITION ('', RestrictiveRelativeClauseWithoutRelativePronounExtractor) - | ├───n───> 'And my mother was one of the most spiritual people .' - | └───s───> 'I knew the most spiritual people .' - └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - ├───s───> 'This was in the church .' - └───n───> 'And she did n't raise me .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# And my mother was one of the most spiritual people I knew, but she didn't raise me in the church. - -44cf6dbb575c43f59ea9f9570bd44936 0 And my mother was one of the most spiritual people . - L:IDENTIFYING_DEFINITION bc165ef7c2464392866fbb77ad9d5e2d - L:CONTRAST d548d71da7fd49e98c82bb633f04b1d2 - -bc165ef7c2464392866fbb77ad9d5e2d 1 I knew the most spiritual people . - -d548d71da7fd49e98c82bb633f04b1d2 0 And she did n't raise me . - S:UNKNOWN_SUBORDINATION This was in the church . - L:CONTRAST 44cf6dbb575c43f59ea9f9570bd44936 - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 114/527 # - -'So I came to my Christian faith later in life, and it was because the precepts of Jesus Christ spoke to me in terms of the kind of life that I would want to lead – being my brothers' and sisters' keeper, treating others as they would treat me.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> CO/UNKNOWN_COORDINATION (NULL, CoordinationExtractor) - ├────────n────────> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - | ├───s───> 'This was later in life .' - | └───n───> 'So I came to my Christian faith .' - ├───n───> SUB/CAUSE ('because', SubordinationPostExtractor) - | ├────────n────────> 'So it was .' - | └───s───> SUB/ATTRIBUTION (NULL, SubordinationPostAttributionExtractor2) - | ├───s───> 'This was what the precepts of Jesus Christ spoke to me in terms of the kind of life .' - | └───n───> 'I would want to lead -- being my brothers ' and sisters ' keeper .' - └────────n────────> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - ├───s───> 'This is as they .' - └───n───> 'So treating others would treat me .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# So I came to my Christian faith later in life, and it was because the precepts of Jesus Christ spoke to me in terms of the kind of life that I would want to lead – being my brothers' and sisters' keeper, treating others as they would treat me. - -096b22473a7f4539973164cf9b651f0d 0 So I came to my Christian faith . - S:UNKNOWN_SUBORDINATION This was later in life . - -b517896c7efd45049e1a879f5485d9b2 0 So it was . - L:CAUSE 881d770e3c8046c0bdf30ce15d93616e - -881d770e3c8046c0bdf30ce15d93616e 1 I would want to lead -- being my brothers ' and sisters ' keeper . - S:ATTRIBUTION This was what the precepts of Jesus Christ spoke to me in terms of the kind of life . - -eb94568b3b154201a82fa328a4613e7b 0 So treating others would treat me . - S:UNKNOWN_SUBORDINATION This is as they . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 115/527 # - -'Obama met Trinity United Church of Christ pastor Rev. Jeremiah Wright in October 1987 and became a member of Trinity in 1992.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) - ├─────────────s─────────────> 'Jeremiah Wright was Christ pastor Rev. .' - └───n───> CO/LIST ('and', SharedNPPostCoordinationExtractor) - ├───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) - | ├───s───> 'This was in October 1987 .' - | └───n───> 'Obama met Trinity United Church of Jeremiah Wright .' - └───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) - ├───s───> 'This was in 1992 .' - └───n───> 'Obama became a member of Trinity .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# Obama met Trinity United Church of Christ pastor Rev. Jeremiah Wright in October 1987 and became a member of Trinity in 1992. - -a085022eae25478793738cfd5f49382f 0 Obama met Trinity United Church of Jeremiah Wright . - S:TEMPORAL This was in October 1987 . - L:LIST 465bace9da854c7c9a1fa881606f132c - L:ELABORATION 98b7772d273d4934b956b32dfb1cb0c8 - -465bace9da854c7c9a1fa881606f132c 0 Obama became a member of Trinity . - S:TEMPORAL This was in 1992 . - L:LIST a085022eae25478793738cfd5f49382f - L:ELABORATION 98b7772d273d4934b956b32dfb1cb0c8 - -98b7772d273d4934b956b32dfb1cb0c8 1 Jeremiah Wright was Christ pastor Rev. . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 116/527 # - -'During Obama's first presidential campaign in May 2008, he resigned from Trinity after some of Wright's statements were criticized.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/TEMPORAL_BEFORE ('after', SubordinationPostExtractor) - ├───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - | ├───s───> 'This was during Obama 's first presidential campaign in May 2008 .' - | └───n───> 'He resigned from Trinity .' - └────────s────────> 'Some of Wright 's statements were criticized .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# During Obama's first presidential campaign in May 2008, he resigned from Trinity after some of Wright's statements were criticized. - -ca0f38df69844f9c8f80ce749cc0f78e 0 He resigned from Trinity . - S:TEMPORAL This was during Obama 's first presidential campaign in May 2008 . - L:TEMPORAL_BEFORE 8d376b2669684547a77709fa73403eea - -8d376b2669684547a77709fa73403eea 1 Some of Wright 's statements were criticized . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 117/527 # - -'Since moving to Washington, D.C., in 2009, the Obama family has attended several Protestant churches, including Shiloh Baptist Church and St. John's Episcopal Church, as well as Evergreen Chapel at Camp David, but the members of the family do not attend church on a regular basis.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> CO/CONTRAST (', but', CoordinationExtractor) - ├───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) - | ├────────s────────> CO/LIST (NULL, PostListNPExtractor) - | | ├───n───> 'John was Shiloh Baptist Church .' - | | └───n───> 'John was St. .' - | └───n───> SUB/CAUSE ('Since', SharedNPPreParticipalExtractor) - | ├───s───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) - | | ├───s───> 'This was in 2009 .' - | | └───n───> 'The Obama family was moving to Washington , D.C. .' - | └───n───> SUB/SPATIAL (NULL, PrepositionalMiddleFinalExtractor) - | ├───s───> 'This was including John 's Episcopal Church , as well as Evergreen Chapel at Camp David .' - | └───n───> 'The Obama family has attended several Protestant churches .' - └─────────────n─────────────> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - ├───s───> 'This is on a regular basis .' - └───n───> 'The members of the family do not attend church .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# Since moving to Washington, D.C., in 2009, the Obama family has attended several Protestant churches, including Shiloh Baptist Church and St. John's Episcopal Church, as well as Evergreen Chapel at Camp David, but the members of the family do not attend church on a regular basis. - -4fbc59dac97642159bc5a9c0ed34c992 0 The Obama family has attended several Protestant churches . - S:SPATIAL This was including John 's Episcopal Church , as well as Evergreen Chapel at Camp David . - L:CAUSE 3823b461f8f7406ca2a098f3418632c0 - L:ELABORATION 0e3376986edc41cf8ec394dabeaae6d4 - L:ELABORATION a731a4b87eea449f98b570c629be291a - L:CONTRAST b4024d3c8db54462b53fbd1fbaa62e92 - -3823b461f8f7406ca2a098f3418632c0 1 The Obama family was moving to Washington , D.C. . - S:TEMPORAL This was in 2009 . - -0e3376986edc41cf8ec394dabeaae6d4 1 John was Shiloh Baptist Church . - L:LIST a731a4b87eea449f98b570c629be291a - -a731a4b87eea449f98b570c629be291a 1 John was St. . - L:LIST 0e3376986edc41cf8ec394dabeaae6d4 - -b4024d3c8db54462b53fbd1fbaa62e92 0 The members of the family do not attend church . - S:UNKNOWN_SUBORDINATION This is on a regular basis . - L:CONTRAST 4fbc59dac97642159bc5a9c0ed34c992 - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 118/527 # - -'Two years after graduating from Columbia, Obama was back in Chicago when he was hired as director of the Developing Communities Project, a church-based community organization originally comprising eight Catholic parishes in Roseland, West Pullman, and Riverdale on Chicago's South Side.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/TEMPORAL_BEFORE ('Two years after', SharedNPPreParticipalExtractor) - ├─────────────s─────────────> 'Obama was graduating from Columbia .' - └───n───> SUB/BACKGROUND ('when', SubordinationPostExtractor) - ├────────n────────> 'Obama was back in Chicago .' - └───s───> CO/LIST (NULL, PostListNPExtractor) - ├───n───> 'He was hired as director of the Developing Communities Project .' - ├───n───> 'He was hired as a church-based community organization originally comprising eight Catholic parishes in Roseland .' - ├───n───> 'He was hired as West Pullman .' - └───n───> 'He was hired as Riverdale on Chicago 's South Side .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# Two years after graduating from Columbia, Obama was back in Chicago when he was hired as director of the Developing Communities Project, a church-based community organization originally comprising eight Catholic parishes in Roseland, West Pullman, and Riverdale on Chicago's South Side. - -1b5136014d294201b14e9ed1e5fe59c4 0 Obama was back in Chicago . - L:BACKGROUND efc0800a4a8540f599379afa5e03ca42 - L:BACKGROUND 0d5d8db16eea4abb9331cefd8d25a266 - L:BACKGROUND f5a9873cc5db4b09803e0c8a035bb258 - L:BACKGROUND 646a93bd613f4b1b9d4773341da4bf6e - L:TEMPORAL_BEFORE cb3d4e55e398419d84ca426c35fab4ca - -efc0800a4a8540f599379afa5e03ca42 1 He was hired as director of the Developing Communities Project . - L:LIST 0d5d8db16eea4abb9331cefd8d25a266 - L:LIST f5a9873cc5db4b09803e0c8a035bb258 - L:LIST 646a93bd613f4b1b9d4773341da4bf6e - -0d5d8db16eea4abb9331cefd8d25a266 1 He was hired as a church-based community organization originally comprising eight Catholic parishes in Roseland . - L:LIST f5a9873cc5db4b09803e0c8a035bb258 - L:LIST 646a93bd613f4b1b9d4773341da4bf6e - L:LIST efc0800a4a8540f599379afa5e03ca42 - -f5a9873cc5db4b09803e0c8a035bb258 1 He was hired as West Pullman . - L:LIST 646a93bd613f4b1b9d4773341da4bf6e - L:LIST efc0800a4a8540f599379afa5e03ca42 - L:LIST 0d5d8db16eea4abb9331cefd8d25a266 - -646a93bd613f4b1b9d4773341da4bf6e 1 He was hired as Riverdale on Chicago 's South Side . - L:LIST efc0800a4a8540f599379afa5e03ca42 - L:LIST 0d5d8db16eea4abb9331cefd8d25a266 - L:LIST f5a9873cc5db4b09803e0c8a035bb258 - -cb3d4e55e398419d84ca426c35fab4ca 1 Obama was graduating from Columbia . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 119/527 # - -'He worked there as a community organizer from June 1985 to May 1988.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) - ├────────s────────> 'This was from June 1985 .' - └───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) - ├───s───> 'This was to May 1988 .' - └───n───> 'He worked there as a community organizer .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# He worked there as a community organizer from June 1985 to May 1988. - -43ce5b05a8a046a0bd79f8de4152b7c3 0 He worked there as a community organizer . - S:TEMPORAL This was to May 1988 . - S:TEMPORAL This was from June 1985 . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 120/527 # - -'He helped set up a job training program, a college preparatory tutoring program, and a tenants' rights organization in Altgeld Gardens.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> CO/LIST (NULL, PostListNPExtractor) - ├───n───> 'He helped set up a job training program .' - ├───n───> 'He helped set up a college preparatory tutoring program .' - └───n───> 'He helped set up a tenants ' rights organization in Altgeld Gardens .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# He helped set up a job training program, a college preparatory tutoring program, and a tenants' rights organization in Altgeld Gardens. - -dd2d62fd01de4d0e821601fa5a67b23a 0 He helped set up a job training program . - L:LIST 6854accd2de143b58d2e357f80022352 - L:LIST 9356b5280a5645ed97d0d2320f93fda4 - -6854accd2de143b58d2e357f80022352 0 He helped set up a college preparatory tutoring program . - L:LIST 9356b5280a5645ed97d0d2320f93fda4 - L:LIST dd2d62fd01de4d0e821601fa5a67b23a - -9356b5280a5645ed97d0d2320f93fda4 0 He helped set up a tenants ' rights organization in Altgeld Gardens . - L:LIST dd2d62fd01de4d0e821601fa5a67b23a - L:LIST 6854accd2de143b58d2e357f80022352 - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 121/527 # - -'Obama also worked as a consultant and instructor for the Gamaliel Foundation, a community organizing institute.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/ELABORATION (NULL, NonRestrictiveAppositionExtractor) - ├───s───> SUB/IDENTIFYING_DEFINITION ('', RestrictiveParticipialExtractor) - | ├───n───> 'The Gamaliel Foundation was a community .' - | └───s───> 'A community was organizing institute .' - └────────n────────> 'Obama also worked as a consultant and instructor for the Gamaliel Foundation .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# Obama also worked as a consultant and instructor for the Gamaliel Foundation, a community organizing institute. - -daaf80e9ea824abeb6e4f41c23f60e0b 0 Obama also worked as a consultant and instructor for the Gamaliel Foundation . - L:ELABORATION 974b27dbd3d740ebaa08c5fd60d3d447 - -974b27dbd3d740ebaa08c5fd60d3d447 1 The Gamaliel Foundation was a community . - L:IDENTIFYING_DEFINITION 09197921ce3d48dea731c0be2427e426 - -09197921ce3d48dea731c0be2427e426 2 A community was organizing institute . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 122/527 # - -'In mid-1988, he traveled for the first time in Europe for three weeks and then for five weeks in Kenya, where he met many of his paternal relatives for the first time.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/SPATIAL (NULL, NonRestrictiveRelativeClauseWhereExtractor) - ├───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) - | ├─────────────s─────────────> 'This was for three weeks and then for five weeks in Kenya .' - | └───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) - | ├────────s────────> 'This was in Europe .' - | └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalInitialExtractor) - | ├───s───> 'This was in mid-1988 .' - | └───n───> 'He traveled for the first time .' - └─────────────s─────────────> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - ├───s───> 'This was for the first time .' - └───n───> 'He met many of his paternal relatives .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# In mid-1988, he traveled for the first time in Europe for three weeks and then for five weeks in Kenya, where he met many of his paternal relatives for the first time. - -9e0667b7f14448db9cb4e4535cbb1dcb 0 He traveled for the first time . - S:UNKNOWN_SUBORDINATION This was in mid-1988 . - S:SPATIAL This was in Europe . - S:SPATIAL This was for three weeks and then for five weeks in Kenya . - L:SPATIAL 92c1e32b175f492d91e41ba576af3566 - -92c1e32b175f492d91e41ba576af3566 1 He met many of his paternal relatives . - S:UNKNOWN_SUBORDINATION This was for the first time . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 123/527 # - -'Derrick Bell threatens to leave Harvard, April 24, 1990, 11:34, Boston TV Digital Archive Student Barack Obama introduces Professor Derrick Bell starting at 6:25.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) - ├───────────────────────s───────────────────────> 'Barack Obama is Boston TV Digital Archive Student .' - └───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) - ├──────────────────s──────────────────> 'Derrick Bell is Professor .' - └───n───> SUB/ELABORATION (NULL, NonRestrictiveAppositionExtractor) - ├────────s────────> SUB/IDENTIFYING_DEFINITION ('', RestrictiveRelativeClauseWithoutRelativePronounExtractor) - | ├───n───> 'Harvard , April 24 , 1990 , 11:34 introduces Derrick Bell starting at 6:25 .' - | └───s───> 'Is Barack Obama Harvard , April 24 , 1990 , 11:34 .' - └───n───> SUB/ELABORATION (NULL, NonRestrictiveAppositionExtractor) - ├────────s────────> 'Harvard , April 24 , 1990 is 11:34 .' - └───n───> SUB/ELABORATION (NULL, NonRestrictiveAppositionExtractor) - ├───s───> 'Harvard is April 24 , 1990 .' - └───n───> 'Derrick Bell threatens to leave Harvard .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# Derrick Bell threatens to leave Harvard, April 24, 1990, 11:34, Boston TV Digital Archive Student Barack Obama introduces Professor Derrick Bell starting at 6:25. - -20181968f1f544d9af9bc66ab4b07494 0 Derrick Bell threatens to leave Harvard . - L:ELABORATION 04f723eb29624138be4737ed0b30214f - L:ELABORATION 3c8bfd0599684945a39a42b5fbf03b53 - L:ELABORATION 2d963fbe64354742902771c00b73d185 - L:ELABORATION 0b05f56a14cc4f2fa977dd73dafcc10d - L:ELABORATION 440a4d24b7dc47e2be9d2718fa821e8d - -04f723eb29624138be4737ed0b30214f 1 Harvard is April 24 , 1990 . - -3c8bfd0599684945a39a42b5fbf03b53 1 Harvard , April 24 , 1990 is 11:34 . - -2d963fbe64354742902771c00b73d185 1 Harvard , April 24 , 1990 , 11:34 introduces Derrick Bell starting at 6:25 . - L:IDENTIFYING_DEFINITION 438b2ba5176f417bb187cbfed6391c24 - -438b2ba5176f417bb187cbfed6391c24 2 Is Barack Obama Harvard , April 24 , 1990 , 11:34 . - -0b05f56a14cc4f2fa977dd73dafcc10d 1 Derrick Bell is Professor . - -440a4d24b7dc47e2be9d2718fa821e8d 1 Barack Obama is Boston TV Digital Archive Student . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 124/527 # - -'Obama entered Harvard Law School in the fall of 1988, living in nearby Somerville, Massachusetts.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> CO/UNKNOWN_COORDINATION (NULL, SharedNPPostParticipalExtractor) - ├───n───> 'Obama entered Harvard Law School in the fall of 1988 .' - └───n───> 'Obama was living in nearby Somerville , Massachusetts .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# Obama entered Harvard Law School in the fall of 1988, living in nearby Somerville, Massachusetts. - -00ad3ae5c18b4e75b0c325ab2d7be81b 0 Obama entered Harvard Law School in the fall of 1988 . - -be5cec5d39c24575ab8eb2a14f55b7bc 0 Obama was living in nearby Somerville , Massachusetts . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 125/527 # - -'He was selected as an editor of the Harvard Law Review at the end of his first year, president of the journal in his second year, and research assistant to the constitutional scholar Laurence Tribe while at Harvard for two years.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) - ├─────────────s─────────────> 'Laurence Tribe was the constitutional scholar .' - └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - ├───s───> CO/LIST (NULL, PostListNPExtractor) - | ├───n───> 'This was at the end of his first year while .' - | ├───n───> 'This was at president of the journal in his second year while .' - | └───n───> 'This was at research assistant to Laurence Tribe while .' - └───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) - ├───s───> 'This was at Harvard for two years .' - └───n───> 'He was selected as an editor of the Harvard Law Review .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# He was selected as an editor of the Harvard Law Review at the end of his first year, president of the journal in his second year, and research assistant to the constitutional scholar Laurence Tribe while at Harvard for two years. - -ab4666930afd41f3b1f8b3bf56b07179 0 He was selected as an editor of the Harvard Law Review . - S:TEMPORAL This was at Harvard for two years . - L:UNKNOWN_SUBORDINATION 9f57a540dc07443eb1a1b9e19e4beb42 - L:UNKNOWN_SUBORDINATION edfd60f810174edf8e44281abaf100be - L:UNKNOWN_SUBORDINATION 127f99ea41e1465f81aaaa556a84f9c2 - L:ELABORATION eb2e015d72cd46faa6a0b4e7fe18383e - -9f57a540dc07443eb1a1b9e19e4beb42 1 This was at the end of his first year while . - L:LIST edfd60f810174edf8e44281abaf100be - L:LIST 127f99ea41e1465f81aaaa556a84f9c2 - -edfd60f810174edf8e44281abaf100be 1 This was at president of the journal in his second year while . - L:LIST 127f99ea41e1465f81aaaa556a84f9c2 - L:LIST 9f57a540dc07443eb1a1b9e19e4beb42 - -127f99ea41e1465f81aaaa556a84f9c2 1 This was at research assistant to Laurence Tribe while . - L:LIST 9f57a540dc07443eb1a1b9e19e4beb42 - L:LIST edfd60f810174edf8e44281abaf100be - -eb2e015d72cd46faa6a0b4e7fe18383e 1 Laurence Tribe was the constitutional scholar . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 126/527 # - -'During his summers, he returned to Chicago, where he worked as an associate at the law firms of Sidley Austin in 1989 and Hopkins & Sutter in 1990.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/SPATIAL (NULL, NonRestrictiveRelativeClauseWhereExtractor) - ├────────n────────> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalInitialExtractor) - | ├───s───> 'This was during his summers .' - | └───n───> 'He returned to Chicago .' - └───s───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) - ├───s───> CO/LIST (NULL, PostListNPExtractor) - | ├───n───> 'This was at the law firms of Sidley Austin in 1989 .' - | └───n───> 'This was at the law firms of Hopkins & Sutter in 1990 .' - └────────n────────> 'He worked as an associate .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# During his summers, he returned to Chicago, where he worked as an associate at the law firms of Sidley Austin in 1989 and Hopkins & Sutter in 1990. - -97731013d181438e9dd0fcb882683a5c 0 He returned to Chicago . - S:UNKNOWN_SUBORDINATION This was during his summers . - L:SPATIAL 2ae46cd15cc94a279f8ac7ba60d4d69d - -2ae46cd15cc94a279f8ac7ba60d4d69d 1 He worked as an associate . - L:TEMPORAL 7d67df4176c146b2b436a3c8fa7c4611 - L:TEMPORAL ec7c2a7c28f44b92a3988ea6349d1b83 - -7d67df4176c146b2b436a3c8fa7c4611 2 This was at the law firms of Sidley Austin in 1989 . - L:LIST ec7c2a7c28f44b92a3988ea6349d1b83 - -ec7c2a7c28f44b92a3988ea6349d1b83 2 This was at the law firms of Hopkins & Sutter in 1990 . - L:LIST 7d67df4176c146b2b436a3c8fa7c4611 - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 127/527 # - -'After graduating with a JD degree magna cum laude from Harvard in 1991, he returned to Chicago.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/TEMPORAL_BEFORE ('After', SharedNPPreParticipalExtractor) - ├───s───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) - | ├───s───> 'This was from Harvard in 1991 .' - | └───n───> 'He was graduating with a JD degree magna cum laude .' - └────────n────────> 'He returned to Chicago .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# After graduating with a JD degree magna cum laude from Harvard in 1991, he returned to Chicago. - -eac5554c46a442cdaddab565a987e548 0 He returned to Chicago . - L:TEMPORAL_BEFORE bd36030b3ae14d3cbf8345a3592d3f0e - -bd36030b3ae14d3cbf8345a3592d3f0e 1 He was graduating with a JD degree magna cum laude . - S:TEMPORAL This was from Harvard in 1991 . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 128/527 # - -'Obama's election as the first black president of the Harvard Law Review gained national media attention and led to a publishing contract and advance for a book about race relations, which evolved into a personal memoir.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/DESCRIBING_DEFINITION ('which', NonRestrictiveRelativeClauseWhoWhichExtractor) - ├───n───> CO/LIST ('and', SharedNPPostCoordinationExtractor) - | ├──────────────────n──────────────────> 'Obama 's election as the first black president of the Harvard Law Review gained national media attention .' - | └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - | ├─────────────s─────────────> 'This was about race relations .' - | └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - | ├────────s────────> 'This was for a book .' - | └───n───> CO/LIST (NULL, PostListNPExtractor) - | ├───n───> 'Obama 's election as the first black president of the Harvard Law Review led to a publishing contract .' - | └───n───> 'Obama 's election as the first black president of the Harvard Law Review led to advance .' - └───────────────────────s───────────────────────> 'Race relations evolved into a personal memoir .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# Obama's election as the first black president of the Harvard Law Review gained national media attention and led to a publishing contract and advance for a book about race relations, which evolved into a personal memoir. - -79d20d4c8a4b43049632d50999478bd2 0 Obama 's election as the first black president of the Harvard Law Review gained national media attention . - L:LIST 7ca6f21a4d194fc6bb24ca9519f3e174 - L:LIST 06fce6a485c94f8599b7cb199c70ebfa - L:DESCRIBING_DEFINITION eb0cd3243e9448b4a443cbdf78d2781a - -7ca6f21a4d194fc6bb24ca9519f3e174 0 Obama 's election as the first black president of the Harvard Law Review led to a publishing contract . - S:UNKNOWN_SUBORDINATION This was for a book . - S:UNKNOWN_SUBORDINATION This was about race relations . - L:LIST 06fce6a485c94f8599b7cb199c70ebfa - L:LIST 79d20d4c8a4b43049632d50999478bd2 - L:DESCRIBING_DEFINITION eb0cd3243e9448b4a443cbdf78d2781a - -06fce6a485c94f8599b7cb199c70ebfa 0 Obama 's election as the first black president of the Harvard Law Review led to advance . - S:UNKNOWN_SUBORDINATION This was for a book . - S:UNKNOWN_SUBORDINATION This was about race relations . - L:LIST 7ca6f21a4d194fc6bb24ca9519f3e174 - L:LIST 79d20d4c8a4b43049632d50999478bd2 - L:DESCRIBING_DEFINITION eb0cd3243e9448b4a443cbdf78d2781a - -eb0cd3243e9448b4a443cbdf78d2781a 1 Race relations evolved into a personal memoir . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 129/527 # - -'The manuscript was published in mid-1995 as Dreams from My Father.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - ├────────s────────> 'This was as Dreams .' - └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - ├───s───> 'This was from My Father .' - └───n───> 'The manuscript was published in mid-1995 .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# The manuscript was published in mid-1995 as Dreams from My Father. - -4196857f8d45412f8df57c7c006bfe3d 0 The manuscript was published in mid-1995 . - S:UNKNOWN_SUBORDINATION This was from My Father . - S:UNKNOWN_SUBORDINATION This was as Dreams . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 130/527 # - -'In 1991, Obama accepted a two-year position as Visiting Law and Government Fellow at the University of Chicago Law School to work on his first book.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/BACKGROUND (NULL, SharedNPPostParticipalExtractor) - ├────────n────────> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - | ├───s───> 'This was in 1991 .' - | └───n───> 'Obama accepted a two-year position .' - └───s───> SUB/PURPOSE (NULL, PurposePostExtractor) - ├───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - | ├───s───> 'This was in 1991 .' - | └───n───> 'Obama was visiting Law and Government Fellow at the University of Chicago Law School .' - └────────s────────> 'This was to work on his first book .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# In 1991, Obama accepted a two-year position as Visiting Law and Government Fellow at the University of Chicago Law School to work on his first book. - -36a9be2d42c74b15afc00c5f037f75e0 0 Obama accepted a two-year position . - S:TEMPORAL This was in 1991 . - L:BACKGROUND 23aa250d7932443f84dd3ac60ff8ceb8 - -23aa250d7932443f84dd3ac60ff8ceb8 1 Obama was visiting Law and Government Fellow at the University of Chicago Law School . - S:TEMPORAL This was in 1991 . - S:PURPOSE This was to work on his first book . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 131/527 # - -'He then taught constitutional law at the University of Chicago Law School for twelve years, first as a lecturer from 1992 to 1996, and then as a senior lecturer from 1996 to 2004.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) - ├──────────────────s──────────────────> 'This was at the University of Chicago Law School for twelve years , first as a lecturer from 1992 .' - └───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) - ├─────────────s─────────────> 'This was to 1996 , and then as a senior lecturer .' - └───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) - ├────────s────────> 'This was from 1996 .' - └───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) - ├───s───> 'This was to 2004 .' - └───n───> 'He then taught constitutional law .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# He then taught constitutional law at the University of Chicago Law School for twelve years, first as a lecturer from 1992 to 1996, and then as a senior lecturer from 1996 to 2004. - -aa748b70ee874f57bf20e1e257d2d31b 0 He then taught constitutional law . - S:TEMPORAL This was to 2004 . - S:TEMPORAL This was from 1996 . - S:TEMPORAL This was to 1996 , and then as a senior lecturer . - S:TEMPORAL This was at the University of Chicago Law School for twelve years , first as a lecturer from 1992 . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 132/527 # - -'From April to October 1992, Obama directed Illinois's Project Vote, a voter registration campaign with ten staffers and seven hundred volunteer registrars; it achieved its goal of registering 150,000 of 400,000 unregistered African Americans in the state, leading Crain's Chicago Business to name Obama to its 1993 list of 40 under Forty powers to be.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> CO/UNKNOWN_COORDINATION (';', CoordinationExtractor) - ├───n───> SUB/ELABORATION (NULL, NonRestrictiveAppositionExtractor) - | ├────────s────────> CO/LIST (NULL, PostListNPExtractor) - | | ├───n───> 'Illinois 's Project Vote was a voter registration campaign with ten staffers .' - | | └───n───> 'Illinois 's Project Vote was a voter registration campaign with seven hundred volunteer registrars .' - | └───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - | ├───s───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) - | | ├───s───> 'This was to October 1992 .' - | | └───n───> 'This was from April .' - | └────────n────────> 'Obama directed Illinois 's Project Vote .' - └───n───> CO/UNKNOWN_COORDINATION (NULL, SharedNPPostParticipalExtractor) - ├─────────────n─────────────> 'It achieved its goal of registering 150,000 of 400,000 unregistered African Americans in the state .' - └───n───> SUB/PURPOSE (NULL, PurposePostExtractor) - ├───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) - | ├───s───> 'This was to its 1993 list of 40 under Forty powers .' - | └───n───> 'It was leading Crain 's Chicago Business to name Obama .' - └────────s────────> 'This was to be .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# From April to October 1992, Obama directed Illinois's Project Vote, a voter registration campaign with ten staffers and seven hundred volunteer registrars; it achieved its goal of registering 150,000 of 400,000 unregistered African Americans in the state, leading Crain's Chicago Business to name Obama to its 1993 list of 40 under Forty powers to be. - -7e9c126f8a2841a7b4d8583f6161826d 0 Obama directed Illinois 's Project Vote . - L:TEMPORAL 2d8c4752e10843009d1bf45bb883de17 - L:ELABORATION d1fd4ca6fbf643dd916292d1c3137694 - L:ELABORATION bcdb5c9d1e3d4746901eef91b747544a - -2d8c4752e10843009d1bf45bb883de17 1 This was from April . - S:TEMPORAL This was to October 1992 . - -d1fd4ca6fbf643dd916292d1c3137694 1 Illinois 's Project Vote was a voter registration campaign with ten staffers . - L:LIST bcdb5c9d1e3d4746901eef91b747544a - -bcdb5c9d1e3d4746901eef91b747544a 1 Illinois 's Project Vote was a voter registration campaign with seven hundred volunteer registrars . - L:LIST d1fd4ca6fbf643dd916292d1c3137694 - -a9320b3aabbb4a8a93d831601310c230 0 It achieved its goal of registering 150,000 of 400,000 unregistered African Americans in the state . - -efa720467c834d02ba2a1201be84daa0 0 It was leading Crain 's Chicago Business to name Obama . - S:TEMPORAL This was to its 1993 list of 40 under Forty powers . - S:PURPOSE This was to be . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 133/527 # - -'He joined Davis, Miner, Barnhill & Galland, a 13-attorney law firm specializing in civil rights litigation and neighborhood economic development, where he was an associate for three years from 1993 to 1996, then of counsel from 1996 to 2004.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/SPATIAL (NULL, NonRestrictiveRelativeClauseWhereExtractor) - ├───n───> SUB/ELABORATION (NULL, NonRestrictiveAppositionExtractor) - | ├───s───> SUB/IDENTIFYING_DEFINITION ('', RestrictiveParticipialExtractor) - | | ├─────────────n─────────────> 'Davis , Miner , Barnhill & Galland was a 13-attorney law firm .' - | | └───s───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) - | | ├────────s────────> 'This was from 1996 to 2004 .' - | | └───n───> CO/LIST (NULL, PostListNPExtractor) - | | ├───n───> 'A 13-attorney law firm was specializing in civil rights litigation .' - | | └───n───> 'A 13-attorney law firm was specializing in neighborhood economic development of counsel .' - | └──────────────────n──────────────────> 'He joined Davis , Miner , Barnhill & Galland .' - └──────────────────s──────────────────> SUB/UNKNOWN_SUBORDINATION (NULL, AdjectivalAdverbialMiddleFinalExtractor) - ├───s───> 'This was then .' - └───n───> 'He was an associate for three years from 1993 to 1996 .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# He joined Davis, Miner, Barnhill & Galland, a 13-attorney law firm specializing in civil rights litigation and neighborhood economic development, where he was an associate for three years from 1993 to 1996, then of counsel from 1996 to 2004. - -c1d90910fcea429fa68bb59c1426f76f 0 He joined Davis , Miner , Barnhill & Galland . - L:ELABORATION b88edeb12ccd4bd692231f667df602ca - L:SPATIAL e50cc4e69c31442fb62ce557a11acc2d - -b88edeb12ccd4bd692231f667df602ca 1 Davis , Miner , Barnhill & Galland was a 13-attorney law firm . - L:IDENTIFYING_DEFINITION 73dad1f2b85548c681abdf49a7f538e7 - L:IDENTIFYING_DEFINITION 3ba4e0ea3ef4404aac2874a4665933b4 - -73dad1f2b85548c681abdf49a7f538e7 2 A 13-attorney law firm was specializing in civil rights litigation . - S:TEMPORAL This was from 1996 to 2004 . - L:LIST 3ba4e0ea3ef4404aac2874a4665933b4 - -3ba4e0ea3ef4404aac2874a4665933b4 2 A 13-attorney law firm was specializing in neighborhood economic development of counsel . - S:TEMPORAL This was from 1996 to 2004 . - L:LIST 73dad1f2b85548c681abdf49a7f538e7 - -e50cc4e69c31442fb62ce557a11acc2d 1 He was an associate for three years from 1993 to 1996 . - S:UNKNOWN_SUBORDINATION This was then . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 134/527 # - -'In 1994, he was listed as one of the lawyers in Buycks-Roberson v. Citibank Fed.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - ├───s───> 'This was in 1994 .' - └───n───> 'He was listed as one of the lawyers in Buycks-Roberson v. Citibank Fed .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# In 1994, he was listed as one of the lawyers in Buycks-Roberson v. Citibank Fed. - -18870a1491a044b18624d9464d73f782 0 He was listed as one of the lawyers in Buycks-Roberson v. Citibank Fed . - S:TEMPORAL This was in 1994 . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 135/527 # - -'Sav.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> 'Sav .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# Sav. - -caf431ce0d14469488cbbc8ddfb340dc 0 Sav . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 136/527 # - -'Bank, 94 C 4094 (N.D. Ill.).' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> 'Bank , 94 C 4094 -LRB- N.D. Ill. -RRB- .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# Bank, 94 C 4094 (N.D. Ill.). - -75b67c7500bc4b068c85af9215cd0390 0 Bank , 94 C 4094 -LRB- N.D. Ill. -RRB- . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 137/527 # - -'This class action lawsuit was filed in 1994 with Selma Buycks-Roberson as lead plaintiff and alleged that Citibank Federal Savings Bank had engaged in practices forbidden under the Equal Credit Opportunity Act and the Fair Housing Act.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> CO/LIST ('and', SharedNPPostCoordinationExtractor) - ├─────────────n─────────────> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - | ├───s───> 'This was with Selma Buycks-Roberson as lead plaintiff .' - | └───n───> 'This class action lawsuit was filed in 1994 .' - └───n───> SUB/ATTRIBUTION (NULL, SubordinationPostAttributionExtractor2) - ├─────────────s─────────────> 'This was what this class action lawsuit was alleged .' - └───n───> SUB/IDENTIFYING_DEFINITION ('', RestrictiveParticipialExtractor) - ├────────n────────> 'Citibank Federal Savings Bank had engaged in practices .' - └───s───> CO/LIST (NULL, PostListNPExtractor) - ├───n───> 'Practices were forbidden under the Equal Credit Opportunity Act .' - └───n───> 'Practices were forbidden under the Fair Housing Act .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# This class action lawsuit was filed in 1994 with Selma Buycks-Roberson as lead plaintiff and alleged that Citibank Federal Savings Bank had engaged in practices forbidden under the Equal Credit Opportunity Act and the Fair Housing Act. - -441c2d8be0d64eae9b100bec67c5cbdf 0 This class action lawsuit was filed in 1994 . - S:UNKNOWN_SUBORDINATION This was with Selma Buycks-Roberson as lead plaintiff . - L:LIST 070e4e27d3a542f48613b2d14096f473 - -070e4e27d3a542f48613b2d14096f473 0 Citibank Federal Savings Bank had engaged in practices . - S:ATTRIBUTION This was what this class action lawsuit was alleged . - L:IDENTIFYING_DEFINITION e1c6a77f0b43416fa4a024fb3f821a3c - L:IDENTIFYING_DEFINITION 6609cc55cd64478b89abafc9ce84f289 - L:LIST 441c2d8be0d64eae9b100bec67c5cbdf - -e1c6a77f0b43416fa4a024fb3f821a3c 1 Practices were forbidden under the Equal Credit Opportunity Act . - L:LIST 6609cc55cd64478b89abafc9ce84f289 - -6609cc55cd64478b89abafc9ce84f289 1 Practices were forbidden under the Fair Housing Act . - L:LIST e1c6a77f0b43416fa4a024fb3f821a3c - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 138/527 # - -'The case was settled out of court.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> 'The case was settled out of court .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# The case was settled out of court. - -3d458ac6e3a04a898159a7617fb9617b 0 The case was settled out of court . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 139/527 # - -'Final judgment was issued on May 13, 1998, with Citibank Federal Savings Bank agreeing to pay attorney fees.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/IDENTIFYING_DEFINITION ('', RestrictiveParticipialExtractor) - ├───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - | ├───s───> 'This was with Citibank Federal Savings Bank .' - | └───n───> 'Final judgment was issued on May 13 , 1998 .' - └────────s────────> 'Citibank Federal Savings Bank were agreeing to pay attorney fees .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# Final judgment was issued on May 13, 1998, with Citibank Federal Savings Bank agreeing to pay attorney fees. - -31dd01d6aba441eca4f4feb1819f1295 0 Final judgment was issued on May 13 , 1998 . - S:UNKNOWN_SUBORDINATION This was with Citibank Federal Savings Bank . - L:IDENTIFYING_DEFINITION 2a9248efa26c4b55847659e403827708 - -2a9248efa26c4b55847659e403827708 1 Citibank Federal Savings Bank were agreeing to pay attorney fees . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 140/527 # - -'His law license became inactive in 2007.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) - ├───s───> 'This was in 2007 .' - └───n───> 'His law license became inactive .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# His law license became inactive in 2007. - -365968e5e65a4bfaad7d80a83197fd34 0 His law license became inactive . - S:TEMPORAL This was in 2007 . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 141/527 # - -'From 1994 to 2002, Obama served on the boards of directors of the Woods Fund of Chicago—which in 1985 had been the first foundation to fund the Developing Communities Project—and of the Joyce Foundation.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - ├───s───> 'This was from 1994 to 2002 .' - └───n───> 'Obama served on the boards of directors of the Woods Fund of Chicago -- which in 1985 had been the first foundation to fund the Developing Communities Project -- and of the Joyce Foundation .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# From 1994 to 2002, Obama served on the boards of directors of the Woods Fund of Chicago—which in 1985 had been the first foundation to fund the Developing Communities Project—and of the Joyce Foundation. - -ecceef290f374b0c8a996fb023669004 0 Obama served on the boards of directors of the Woods Fund of Chicago -- which in 1985 had been the first foundation to fund the Developing Communities Project -- and of the Joyce Foundation . - S:TEMPORAL This was from 1994 to 2002 . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 142/527 # - -'He served on the board of directors of the Chicago Annenberg Challenge from 1995 to 2002, as founding president and chairman of the board of directors from 1995 to 1999.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) - ├────────s────────> 'This was from 1995 to 2002 .' - └───n───> SUB/TEMPORAL (NULL, PrepositionalMiddleFinalExtractor) - ├───s───> 'This was as founding president and chairman of the board of directors from 1995 to 1999 .' - └───n───> 'He served on the board of directors of the Chicago Annenberg Challenge .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# He served on the board of directors of the Chicago Annenberg Challenge from 1995 to 2002, as founding president and chairman of the board of directors from 1995 to 1999. - -42267efb2017408f9d38a799c43c27be 0 He served on the board of directors of the Chicago Annenberg Challenge . - S:TEMPORAL This was as founding president and chairman of the board of directors from 1995 to 1999 . - S:TEMPORAL This was from 1995 to 2002 . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 143/527 # - -'State Senator Obama and others celebrate the naming of a street in Chicago after ShoreBank co-founder Milton Davis in 1998.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) - ├─────────────s─────────────> 'Obama is State Senator .' - └───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) - ├────────s────────> 'Milton Davis is ShoreBank co-founder .' - └───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) - ├───s───> 'This is after Milton Davis in 1998 .' - └───n───> 'Obama and others celebrate the naming of a street in Chicago .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# State Senator Obama and others celebrate the naming of a street in Chicago after ShoreBank co-founder Milton Davis in 1998. - -0e9719e503cc40a4a5ff7946cf3b68e0 0 Obama and others celebrate the naming of a street in Chicago . - S:TEMPORAL This is after Milton Davis in 1998 . - L:ELABORATION 4eb5e54d6b3d421c8bda8a17c303e615 - L:ELABORATION ff3f422f4e48455d81c3d0b62b877f86 - -4eb5e54d6b3d421c8bda8a17c303e615 1 Milton Davis is ShoreBank co-founder . - -ff3f422f4e48455d81c3d0b62b877f86 1 Obama is State Senator . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 144/527 # - -'Obama was elected to the Illinois Senate in 1996, succeeding Democratic State Senator Alice Palmer from Illinois's 13th District, which, at that time, spanned Chicago South Side neighborhoods from Hyde Park–Kenwood south to South Shore and west to Chicago Lawn.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/DESCRIBING_DEFINITION ('which', NonRestrictiveRelativeClauseWhoWhichExtractor) - ├───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) - | ├────────s────────> 'Alice Palmer was Democratic State Senator .' - | └───n───> SUB/UNKNOWN_SUBORDINATION ('', ParticipialMiddleExtractor) - | ├───n───> 'Obama was elected to the Illinois Senate in 1996 -- Kenwood south to South Shore and west to Chicago Lawn .' - | └───s───> 'The Illinois Senate in 1996 was succeeding Alice Palmer from Illinois 's 13th District .' - └───s───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) - ├────────s────────> 'This was from Hyde Park .' - └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalMiddleFinalExtractor) - ├───s───> 'This was at that time .' - └───n───> 'Illinois 's 13th District spanned Chicago South Side neighborhoods .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# Obama was elected to the Illinois Senate in 1996, succeeding Democratic State Senator Alice Palmer from Illinois's 13th District, which, at that time, spanned Chicago South Side neighborhoods from Hyde Park–Kenwood south to South Shore and west to Chicago Lawn. - -fa141c115beb453083168ab0c206eeb8 0 Obama was elected to the Illinois Senate in 1996 -- Kenwood south to South Shore and west to Chicago Lawn . - L:UNKNOWN_SUBORDINATION b15ab03413b6468cb680cb5050d5daa2 - L:ELABORATION 841812e4d338410daa0a1e1c676f36a3 - L:DESCRIBING_DEFINITION 067c3dd01398413bb17637062eafdac9 - -b15ab03413b6468cb680cb5050d5daa2 1 The Illinois Senate in 1996 was succeeding Alice Palmer from Illinois 's 13th District . - -841812e4d338410daa0a1e1c676f36a3 1 Alice Palmer was Democratic State Senator . - -067c3dd01398413bb17637062eafdac9 1 Illinois 's 13th District spanned Chicago South Side neighborhoods . - S:UNKNOWN_SUBORDINATION This was at that time . - S:SPATIAL This was from Hyde Park . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 145/527 # - -'Once elected, Obama gained bipartisan support for legislation that reformed ethics and health care laws.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/IDENTIFYING_DEFINITION ('that', RestrictiveRelativeClauseWhoWhichExtractor) - ├───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - | ├───s───> 'This was for legislation .' - | └───n───> 'Once elected , Obama gained bipartisan support .' - └────────s────────> 'Legislation reformed ethics and health care laws .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# Once elected, Obama gained bipartisan support for legislation that reformed ethics and health care laws. - -bb182514634f4ba7852f993e9f56e576 0 Once elected , Obama gained bipartisan support . - S:UNKNOWN_SUBORDINATION This was for legislation . - L:IDENTIFYING_DEFINITION c553e40f895f44d2b3a42436a4ce9833 - -c553e40f895f44d2b3a42436a4ce9833 1 Legislation reformed ethics and health care laws . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 146/527 # - -'He sponsored a law that increased tax credits for low-income workers, negotiated welfare reform, and promoted increased subsidies for childcare.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/IDENTIFYING_DEFINITION ('that', RestrictiveRelativeClauseWhoWhichExtractor) - ├─────────────n─────────────> 'He sponsored a law .' - └───s───> CO/UNKNOWN_COORDINATION (NULL, SharedNPPostCoordinationExtractor) - ├───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - | ├───s───> 'This was for low-income workers .' - | └───n───> 'A law increased tax credits .' - ├────────n────────> 'A law negotiated welfare reform .' - └────────n────────> 'A law promoted increased subsidies for childcare .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# He sponsored a law that increased tax credits for low-income workers, negotiated welfare reform, and promoted increased subsidies for childcare. - -fa60d9aec8cf42a7be192d625091bf22 0 He sponsored a law . - L:IDENTIFYING_DEFINITION 89a090b4f581438a99fb81eab2b23038 - L:IDENTIFYING_DEFINITION 2b13942cafda4b2195909d1bafeacfac - L:IDENTIFYING_DEFINITION 4ae0f6a1a1ec464b978dc382ee4bace6 - -89a090b4f581438a99fb81eab2b23038 1 A law increased tax credits . - S:UNKNOWN_SUBORDINATION This was for low-income workers . - -2b13942cafda4b2195909d1bafeacfac 1 A law negotiated welfare reform . - -4ae0f6a1a1ec464b978dc382ee4bace6 1 A law promoted increased subsidies for childcare . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 147/527 # - -'In 2001, as co-chairman of the bipartisan Joint Committee on Administrative Rules, Obama supported Republican Governor Ryan's payday loan regulations and predatory mortgage lending regulations aimed at averting home foreclosures.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) - ├──────────────────s──────────────────> 'Ryan was Republican Governor .' - └───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - ├─────────────s─────────────> 'This was in 2001 .' - └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalInitialExtractor) - ├────────s────────> 'This was as co-chairman of the bipartisan Joint Committee on Administrative Rules .' - └───n───> CO/LIST (NULL, PostListNPExtractor) - ├───n───> 'Obama supported Ryan 's payday loan regulations .' - └───n───> 'Obama supported predatory mortgage lending regulations aimed at averting home foreclosures .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# In 2001, as co-chairman of the bipartisan Joint Committee on Administrative Rules, Obama supported Republican Governor Ryan's payday loan regulations and predatory mortgage lending regulations aimed at averting home foreclosures. - -abb84d3975bc415fad74115e2de5284c 0 Obama supported Ryan 's payday loan regulations . - S:UNKNOWN_SUBORDINATION This was as co-chairman of the bipartisan Joint Committee on Administrative Rules . - S:TEMPORAL This was in 2001 . - L:LIST abb286aa8c33402d9b61d6ceee311d65 - L:ELABORATION 4b26acac8d2b4804a37454aa2664d745 - -abb286aa8c33402d9b61d6ceee311d65 0 Obama supported predatory mortgage lending regulations aimed at averting home foreclosures . - S:UNKNOWN_SUBORDINATION This was as co-chairman of the bipartisan Joint Committee on Administrative Rules . - S:TEMPORAL This was in 2001 . - L:LIST abb84d3975bc415fad74115e2de5284c - L:ELABORATION 4b26acac8d2b4804a37454aa2664d745 - -4b26acac8d2b4804a37454aa2664d745 1 Ryan was Republican Governor . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 148/527 # - -'He was reelected to the Illinois Senate in 1998, defeating Republican Yesse Yehudah in the general election, and was re-elected again in 2002.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> CO/LIST (', and', SharedNPPostCoordinationExtractor) - ├───n───> CO/UNKNOWN_COORDINATION (NULL, SharedNPPostParticipalExtractor) - | ├────────n────────> 'He was reelected to the Illinois Senate in 1998 .' - | └───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) - | ├───s───> 'Yesse Yehudah was Republican .' - | └───n───> 'He was defeating Yesse Yehudah in the general election .' - └─────────────n─────────────> 'He was re-elected again in 2002 .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# He was reelected to the Illinois Senate in 1998, defeating Republican Yesse Yehudah in the general election, and was re-elected again in 2002. - -439c56563a5c4bb0abd27d2e9f4849e1 0 He was reelected to the Illinois Senate in 1998 . - L:LIST b6e2013b4e3f42acaf84f9a6995e71a7 - -57f9179e1b9a4ba9ac96081071e01f88 0 He was defeating Yesse Yehudah in the general election . - L:ELABORATION 83e54f2bb636445685411fc9c549c402 - L:LIST b6e2013b4e3f42acaf84f9a6995e71a7 - -83e54f2bb636445685411fc9c549c402 1 Yesse Yehudah was Republican . - -b6e2013b4e3f42acaf84f9a6995e71a7 0 He was re-elected again in 2002 . - L:LIST 439c56563a5c4bb0abd27d2e9f4849e1 - L:LIST 57f9179e1b9a4ba9ac96081071e01f88 - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 149/527 # - -'In 2000, he lost a Democratic primary race for Illinois's 1st congressional district in the United States House of Representatives to four-term incumbent Bobby Rush by a margin of two to one.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) - ├────────────────────────────s────────────────────────────> 'House of Representatives was the United States .' - └───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) - ├───────────────────────s───────────────────────> 'This was for Illinois 's 1st congressional district in House of Representatives .' - └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - ├──────────────────s──────────────────> 'This was to four-term incumbent Bobby Rush .' - └───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) - ├─────────────s─────────────> 'This was by a margin of two .' - └───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) - ├────────s────────> 'This was to one .' - └───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - ├───s───> 'This was in 2000 .' - └───n───> 'He lost a Democratic primary race .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# In 2000, he lost a Democratic primary race for Illinois's 1st congressional district in the United States House of Representatives to four-term incumbent Bobby Rush by a margin of two to one. - -259035ed62504ce48daeccfb48386cd1 0 He lost a Democratic primary race . - S:TEMPORAL This was in 2000 . - S:TEMPORAL This was to one . - S:TEMPORAL This was by a margin of two . - S:UNKNOWN_SUBORDINATION This was to four-term incumbent Bobby Rush . - S:SPATIAL This was for Illinois 's 1st congressional district in House of Representatives . - L:ELABORATION 3ca394ae5c22480bb9b68ec4d0430f52 - -3ca394ae5c22480bb9b68ec4d0430f52 1 House of Representatives was the United States . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 150/527 # - -'In January 2003, Obama became chairman of the Illinois Senate's Health and Human Services Committee when Democrats, after a decade in the minority, regained a majority.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - ├────────s────────> 'This was in January 2003 .' - └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalMiddleFinalExtractor) - ├───s───> 'This was after a decade in the minority .' - └───n───> 'Obama became chairman of the Illinois Senate 's Health and Human Services Committee when Democrats regained a majority .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# In January 2003, Obama became chairman of the Illinois Senate's Health and Human Services Committee when Democrats, after a decade in the minority, regained a majority. - -b935052d84104d4b8dc0696138225849 0 Obama became chairman of the Illinois Senate 's Health and Human Services Committee when Democrats regained a majority . - S:UNKNOWN_SUBORDINATION This was after a decade in the minority . - S:TEMPORAL This was in January 2003 . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 151/527 # - -'He sponsored and led unanimous, bipartisan passage of legislation to monitor racial profiling by requiring police to record the race of drivers they detained, and legislation making Illinois the first state to mandate videotaping of homicide interrogations.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> CO/LIST ('and', SharedNPPostCoordinationExtractor) - ├────────n────────> SUB/PURPOSE (NULL, PurposePostExtractor) - | ├───n───> 'He sponsored the first state .' - | └───s───> 'This was to mandate videotaping of homicide interrogations .' - └───n───> CO/LIST (', and', CoordinationExtractor) - ├───n───> SUB/PURPOSE (NULL, PurposePostExtractor) - | ├───n───> 'He led unanimous , bipartisan passage of legislation .' - | └───s───> 'This was to monitor racial profiling by requiring police to record the race of drivers they detained .' - └────────n────────> 'Legislation making Illinois the first state to mandate videotaping of homicide interrogations .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# He sponsored and led unanimous, bipartisan passage of legislation to monitor racial profiling by requiring police to record the race of drivers they detained, and legislation making Illinois the first state to mandate videotaping of homicide interrogations. - -465d6a407dc3451b92ecd1aab2af770c 0 He sponsored the first state . - S:PURPOSE This was to mandate videotaping of homicide interrogations . - L:LIST 5c59b97cfa904c69be3466e9c3ac7b36 - L:LIST b87e8e68f8584ceb84953eaa90480c8c - -5c59b97cfa904c69be3466e9c3ac7b36 0 He led unanimous , bipartisan passage of legislation . - S:PURPOSE This was to monitor racial profiling by requiring police to record the race of drivers they detained . - L:LIST b87e8e68f8584ceb84953eaa90480c8c - L:LIST 465d6a407dc3451b92ecd1aab2af770c - -b87e8e68f8584ceb84953eaa90480c8c 0 Legislation making Illinois the first state to mandate videotaping of homicide interrogations . - L:LIST 5c59b97cfa904c69be3466e9c3ac7b36 - L:LIST 465d6a407dc3451b92ecd1aab2af770c - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 152/527 # - -'During his 2004 general election campaign for the U.S. Senate, police representatives credited Obama for his active engagement with police organizations in enacting death penalty reforms.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> CO/UNKNOWN_COORDINATION (NULL, SharedNPPostParticipalExtractor) - ├───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - | ├─────────────s─────────────> 'This was for his active engagement .' - | └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - | ├────────s────────> 'This was with police organizations .' - | └───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - | ├───s───> 'This was during his 2004 general election campaign for the U.S. Senate .' - | └───n───> 'Police representatives credited Obama .' - └─────────────n─────────────> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - ├───s───> 'This was during his 2004 general election campaign for the U.S. Senate .' - └───n───> 'Police representatives were enacting death penalty reforms .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# During his 2004 general election campaign for the U.S. Senate, police representatives credited Obama for his active engagement with police organizations in enacting death penalty reforms. - -4ceb0f8532f9476e9fe9d246610f8931 0 Police representatives credited Obama . - S:TEMPORAL This was during his 2004 general election campaign for the U.S. Senate . - S:UNKNOWN_SUBORDINATION This was with police organizations . - S:UNKNOWN_SUBORDINATION This was for his active engagement . - -f4f069dc879c4a0681f6f562719c498b 0 Police representatives were enacting death penalty reforms . - S:TEMPORAL This was during his 2004 general election campaign for the U.S. Senate . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 153/527 # - -'Obama resigned from the Illinois Senate in November 2004 following his election to the U.S. Senate.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) - ├───s───> 'This was in November 2004 .' - └───n───> 'Obama resigned from the Illinois Senate following his election to the U.S. Senate .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# Obama resigned from the Illinois Senate in November 2004 following his election to the U.S. Senate. - -5988ab9bdc0c41f3b46996eaf8a0218b 0 Obama resigned from the Illinois Senate following his election to the U.S. Senate . - S:TEMPORAL This was in November 2004 . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 154/527 # - -'County results of the 2004 U.S. Senate race in Illinois.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> 'County results of the 2004 U.S. Senate race in Illinois .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# County results of the 2004 U.S. Senate race in Illinois. - -b7a40064eb4d433caafcf34103ac22e6 0 County results of the 2004 U.S. Senate race in Illinois . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 155/527 # - -'Obama won the counties in blue.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - ├───s───> 'This was in blue .' - └───n───> 'Obama won the counties .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# Obama won the counties in blue. - -a666b815d4b34e19b259fb9e0f98ef1f 0 Obama won the counties . - S:UNKNOWN_SUBORDINATION This was in blue . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 156/527 # - -'In May 2002, Obama commissioned a poll to assess his prospects in a 2004 U.S. Senate race.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - ├───s───> 'This was in May 2002 .' - └───n───> 'Obama commissioned a poll to assess his prospects in a 2004 U.S. Senate race .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# In May 2002, Obama commissioned a poll to assess his prospects in a 2004 U.S. Senate race. - -9ce5170697b547a0a1e1031d977d57a5 0 Obama commissioned a poll to assess his prospects in a 2004 U.S. Senate race . - S:TEMPORAL This was in May 2002 . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 157/527 # - -'He created a campaign committee, began raising funds, and lined up political media consultant David Axelrod by August 2002.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) - ├────────s────────> 'David Axelrod was political media consultant .' - └───n───> CO/UNKNOWN_COORDINATION (NULL, SharedNPPostCoordinationExtractor) - ├───n───> 'He created a campaign committee .' - ├───n───> 'He began raising funds .' - └───n───> 'He lined up David Axelrod by August 2002 .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# He created a campaign committee, began raising funds, and lined up political media consultant David Axelrod by August 2002. - -2f4f61d811cf461a8c96859412cd2ca1 0 He created a campaign committee . - L:ELABORATION 02a93ae91ca449c588208a3631589a84 - -fd2da8b36f814bad93f9507abfafef84 0 He began raising funds . - L:ELABORATION 02a93ae91ca449c588208a3631589a84 - -7e804b3240e544049a0aae6ed0cc2690 0 He lined up David Axelrod by August 2002 . - L:ELABORATION 02a93ae91ca449c588208a3631589a84 - -02a93ae91ca449c588208a3631589a84 1 David Axelrod was political media consultant . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 158/527 # - -'Obama formally announced his candidacy in January 2003.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) - ├───s───> 'This was in January 2003 .' - └───n───> 'Obama formally announced his candidacy .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# Obama formally announced his candidacy in January 2003. - -1395913480034bf494ef26048a79ee0a 0 Obama formally announced his candidacy . - S:TEMPORAL This was in January 2003 . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 159/527 # - -'Obama was an early opponent of the George W. Bush administration's 2003 invasion of Iraq.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> 'Obama was an early opponent of the George W. Bush administration 's 2003 invasion of Iraq .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# Obama was an early opponent of the George W. Bush administration's 2003 invasion of Iraq. - -0ebfaaab6ea343beb56f798383741b85 0 Obama was an early opponent of the George W. Bush administration 's 2003 invasion of Iraq . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 160/527 # - -'On October 2, 2002, the day President Bush and Congress agreed on the joint resolution authorizing the Iraq War, Obama addressed the first high-profile Chicago anti-Iraq War rally, and spoke out against the war.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) - ├───────────────────────s───────────────────────> 'Bush was the day President .' - └───n───> CO/LIST (', and', SharedNPPostCoordinationExtractor) - ├─────────────n─────────────> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - | ├───s───> 'This was on October 2 , 2002 .' - | └───n───> 'Bush and Congress agreed on the joint resolution authorizing the Iraq War , Obama addressed the first high-profile Chicago anti-Iraq War rally .' - └───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - ├─────────────s─────────────> 'This was on October 2 , 2002 .' - └───n───> SUB/ATTRIBUTION (NULL, PreAttributionExtractor) - ├───n───> CO/UNKNOWN_COORDINATION (NULL, SharedNPPostParticipalExtractor) - | ├───n───> 'Bush and Congress agreed on the joint resolution .' - | └───n───> 'Bush and Congress were authorizing the Iraq War .' - └────────s────────> 'This was what Obama spoke out against the war .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# On October 2, 2002, the day President Bush and Congress agreed on the joint resolution authorizing the Iraq War, Obama addressed the first high-profile Chicago anti-Iraq War rally, and spoke out against the war. - -9d6cbe72a4444a55b60b436e923bb58d 0 Bush and Congress agreed on the joint resolution authorizing the Iraq War , Obama addressed the first high-profile Chicago anti-Iraq War rally . - S:TEMPORAL This was on October 2 , 2002 . - L:LIST 4ae439c3066d40cba5741de8ac961169 - L:LIST 9c77ef325f1f43fe9b3a77a9fbf0b47f - L:ELABORATION 9e17a54d18c4479f8077cb1abbe0dade - -4ae439c3066d40cba5741de8ac961169 0 Bush and Congress agreed on the joint resolution . - S:ATTRIBUTION This was what Obama spoke out against the war . - S:TEMPORAL This was on October 2 , 2002 . - L:LIST 9d6cbe72a4444a55b60b436e923bb58d - L:ELABORATION 9e17a54d18c4479f8077cb1abbe0dade - -9c77ef325f1f43fe9b3a77a9fbf0b47f 0 Bush and Congress were authorizing the Iraq War . - S:ATTRIBUTION This was what Obama spoke out against the war . - S:TEMPORAL This was on October 2 , 2002 . - L:LIST 9d6cbe72a4444a55b60b436e923bb58d - L:ELABORATION 9e17a54d18c4479f8077cb1abbe0dade - -9e17a54d18c4479f8077cb1abbe0dade 1 Bush was the day President . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 161/527 # - -'He addressed another anti-war rally in March 2003 and told the crowd that it's not too late to stop the war.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> CO/LIST ('and', SharedNPPostCoordinationExtractor) - ├───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) - | ├───s───> 'This was in March 2003 .' - | └───n───> 'He addressed another anti-war rally .' - └───n───> SUB/ATTRIBUTION (NULL, SubordinationPostAttributionExtractor2) - ├───s───> 'This was what he told the crowd .' - └───n───> 'It 's not too late to stop the war .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# He addressed another anti-war rally in March 2003 and told the crowd that it's not too late to stop the war. - -782b3bc27e414ec4b788f12cda2077ab 0 He addressed another anti-war rally . - S:TEMPORAL This was in March 2003 . - L:LIST 003fe3e2c6a84ec3ac2afbfbf24fcd96 - -003fe3e2c6a84ec3ac2afbfbf24fcd96 0 It 's not too late to stop the war . - S:ATTRIBUTION This was what he told the crowd . - L:LIST 782b3bc27e414ec4b788f12cda2077ab - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 162/527 # - -'Decisions by Republican incumbent Peter Fitzgerald and his Democratic predecessor Carol Moseley Braun to not participate in the election resulted in wide-open Democratic and Republican primary contests involving fifteen candidates.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) - ├───s───> CO/LIST (NULL, PostListNPExtractor) - | ├───n───> 'Carol Moseley Braun was Republican incumbent Peter Fitzgerald .' - | └───n───> 'Carol Moseley Braun was his Democratic predecessor .' - └───n───> CO/UNKNOWN_COORDINATION (NULL, SharedNPPostParticipalExtractor) - ├───n───> 'Decisions by Carol Moseley Braun to not participate in the election resulted in wide-open Democratic and Republican primary contests .' - └───n───> 'Decisions by Carol Moseley Braun to not participate in the election were involving fifteen candidates .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# Decisions by Republican incumbent Peter Fitzgerald and his Democratic predecessor Carol Moseley Braun to not participate in the election resulted in wide-open Democratic and Republican primary contests involving fifteen candidates. - -bdefaceaea364e40b9bf9c96d2b6d0b0 0 Decisions by Carol Moseley Braun to not participate in the election resulted in wide-open Democratic and Republican primary contests . - L:ELABORATION 3c2bd0330b1441c39b35f4abcf5d7661 - L:ELABORATION 2bb08c3bb4ac4e7f8cc83ae66acad7ef - -499866dbe73b4581ad41509f10bd64cf 0 Decisions by Carol Moseley Braun to not participate in the election were involving fifteen candidates . - L:ELABORATION 3c2bd0330b1441c39b35f4abcf5d7661 - L:ELABORATION 2bb08c3bb4ac4e7f8cc83ae66acad7ef - -3c2bd0330b1441c39b35f4abcf5d7661 1 Carol Moseley Braun was Republican incumbent Peter Fitzgerald . - L:LIST 2bb08c3bb4ac4e7f8cc83ae66acad7ef - -2bb08c3bb4ac4e7f8cc83ae66acad7ef 1 Carol Moseley Braun was his Democratic predecessor . - L:LIST 3c2bd0330b1441c39b35f4abcf5d7661 - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 163/527 # - -'In the March 2004 primary election, Obama won in an unexpected landslide—which overnight made him a rising star within the national Democratic Party, started speculation about a presidential future, and led to the reissue of his memoir, Dreams from My Father.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/ELABORATION (NULL, NonRestrictiveAppositionExtractor) - ├──────────────────s──────────────────> 'His memoir was Dreams .' - └───n───> CO/UNKNOWN_COORDINATION (NULL, SharedNPPostCoordinationExtractor) - ├───n───> SUB/IDENTIFYING_DEFINITION ('which', RestrictiveRelativeClauseWhoWhichExtractor) - | ├───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - | | ├───s───> 'This was in the March 2004 primary election .' - | | └───n───> 'Obama won in an unexpected landslide -- .' - | └────────s────────> 'An unexpected landslide -- overnight made him a rising star within the national Democratic Party .' - ├───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - | ├────────s────────> 'This was about a presidential future .' - | └───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - | ├───s───> 'This was in the March 2004 primary election .' - | └───n───> 'Obama started speculation .' - └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - ├────────s────────> 'This was from My Father .' - └───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - ├───s───> 'This was in the March 2004 primary election .' - └───n───> 'Obama led to the reissue of his memoir .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# In the March 2004 primary election, Obama won in an unexpected landslide—which overnight made him a rising star within the national Democratic Party, started speculation about a presidential future, and led to the reissue of his memoir, Dreams from My Father. - -aaade82f32d9461292ba280b1ad0da6f 0 Obama won in an unexpected landslide -- . - S:TEMPORAL This was in the March 2004 primary election . - L:IDENTIFYING_DEFINITION e9b588a9479d49c18ceadda0547d956b - L:ELABORATION 441a6dfcba94420d91b386cd6f3dcdcf - -e9b588a9479d49c18ceadda0547d956b 1 An unexpected landslide -- overnight made him a rising star within the national Democratic Party . - -dbae27766cc14f489e31cb6646ff000d 0 Obama started speculation . - S:TEMPORAL This was in the March 2004 primary election . - S:UNKNOWN_SUBORDINATION This was about a presidential future . - L:ELABORATION 441a6dfcba94420d91b386cd6f3dcdcf - -e0155e2ee69742bb84f5c752b9f7879c 0 Obama led to the reissue of his memoir . - S:TEMPORAL This was in the March 2004 primary election . - S:UNKNOWN_SUBORDINATION This was from My Father . - L:ELABORATION 441a6dfcba94420d91b386cd6f3dcdcf - -441a6dfcba94420d91b386cd6f3dcdcf 1 His memoir was Dreams . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 164/527 # - -'In July 2004, Obama delivered the keynote address at the 2004 Democratic National Convention, seen by 9.1 million viewers.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/UNKNOWN_SUBORDINATION ('', ParticipialMiddleExtractor) - ├───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) - | ├────────s────────> 'This was at the 2004 Democratic National Convention .' - | └───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - | ├───s───> 'This was in July 2004 .' - | └───n───> 'Obama delivered the keynote address .' - └─────────────s─────────────> 'The 2004 Democratic National Convention was seen by 9.1 million viewers .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# In July 2004, Obama delivered the keynote address at the 2004 Democratic National Convention, seen by 9.1 million viewers. - -e70c4a0ddb3544de8fcdaa9c5c147960 0 Obama delivered the keynote address . - S:TEMPORAL This was in July 2004 . - S:TEMPORAL This was at the 2004 Democratic National Convention . - L:UNKNOWN_SUBORDINATION 4dace5c566364f4d8bb057e224a749d3 - -4dace5c566364f4d8bb057e224a749d3 1 The 2004 Democratic National Convention was seen by 9.1 million viewers . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 165/527 # - -'His speech was well received and elevated his status within the Democratic Party.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> CO/LIST ('and', SharedNPPostCoordinationExtractor) - ├────────n────────> 'His speech was well received .' - └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - ├───s───> 'This was within the Democratic Party .' - └───n───> 'His speech elevated his status .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# His speech was well received and elevated his status within the Democratic Party. - -ffc415e91a9b4efc970605964ff5edb8 0 His speech was well received . - L:LIST d76c27e90e5546f08b1098e8858ad55d - -d76c27e90e5546f08b1098e8858ad55d 0 His speech elevated his status . - S:UNKNOWN_SUBORDINATION This was within the Democratic Party . - L:LIST ffc415e91a9b4efc970605964ff5edb8 - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 166/527 # - -'Obama's expected opponent in the general election, Republican primary winner Jack Ryan, withdrew from the race in June 2004.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) - ├─────────────s─────────────> 'Jack Ryan was Republican primary winner .' - └───n───> SUB/ELABORATION (NULL, NonRestrictiveAppositionExtractor) - ├────────s────────> 'Jack Ryan was the general election .' - └───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) - ├───s───> 'This was in June 2004 .' - └───n───> 'Obama 's expected opponent in the general election withdrew from the race .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# Obama's expected opponent in the general election, Republican primary winner Jack Ryan, withdrew from the race in June 2004. - -3502224d72134994b4668a7a6408532a 0 Obama 's expected opponent in the general election withdrew from the race . - S:TEMPORAL This was in June 2004 . - L:ELABORATION cfa57630986a4da28b92bb27f9f4223e - L:ELABORATION af9658f97d524ea5932d716ce73e989b - -cfa57630986a4da28b92bb27f9f4223e 1 Jack Ryan was the general election . - -af9658f97d524ea5932d716ce73e989b 1 Jack Ryan was Republican primary winner . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 167/527 # - -'Six weeks later, Alan Keyes accepted the Republican nomination to replace Ryan.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/PURPOSE (NULL, PurposePostExtractor) - ├───n───> 'Six weeks later , Alan Keyes accepted the Republican nomination .' - └───s───> 'This was to replace Ryan .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# Six weeks later, Alan Keyes accepted the Republican nomination to replace Ryan. - -7b090abcc72a4deaaf58bec7c4e75703 0 Six weeks later , Alan Keyes accepted the Republican nomination . - S:PURPOSE This was to replace Ryan . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 168/527 # - -'In the November 2004 general election, Obama won with 70% of the vote.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - ├───s───> 'This was in the November 2004 general election .' - └───n───> 'Obama won with 70 % of the vote .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# In the November 2004 general election, Obama won with 70% of the vote. - -75142dadd0b94b268cd596ccdc8c3bc5 0 Obama won with 70 % of the vote . - S:TEMPORAL This was in the November 2004 general election . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 169/527 # - -'Obama was sworn in as a senator on January 3, 2005, becoming the only Senate member of the Congressional Black Caucus.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> 'Obama was sworn in as a senator on January 3 , 2005 , becoming the only Senate member of the Congressional Black Caucus .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# Obama was sworn in as a senator on January 3, 2005, becoming the only Senate member of the Congressional Black Caucus. - -672cee4de00a405ab0b52add2d3427d8 0 Obama was sworn in as a senator on January 3 , 2005 , becoming the only Senate member of the Congressional Black Caucus . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 170/527 # - -'CQ Weekly characterized him as a loyal Democrat based on analysis of all Senate votes from 2005 to 2007.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) - ├───s───> SUB/IDENTIFYING_DEFINITION ('', RestrictiveParticipialExtractor) - | ├────────n────────> 'This was as a loyal Democrat .' - | └───s───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) - | ├───s───> 'This was from 2005 to 2007 .' - | └───n───> 'A loyal Democrat was based on analysis of all Senate votes .' - └─────────────n─────────────> 'CQ Weekly characterized him .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# CQ Weekly characterized him as a loyal Democrat based on analysis of all Senate votes from 2005 to 2007. - -d5f74de6840e4a93975d5da1caf73cc4 0 CQ Weekly characterized him . - L:TEMPORAL a3f67db40b9e416db9c69dab73bfbac9 - -a3f67db40b9e416db9c69dab73bfbac9 1 This was as a loyal Democrat . - L:IDENTIFYING_DEFINITION 610541c59d584a89a9bac4bf079bbbfe - -610541c59d584a89a9bac4bf079bbbfe 2 A loyal Democrat was based on analysis of all Senate votes . - S:TEMPORAL This was from 2005 to 2007 . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 171/527 # - -'Obama announced on November 13, 2008, that he would resign his Senate seat on November 16, 2008, before the start of the lame-duck session, to focus on his transition period for the presidency.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/PURPOSE (NULL, PurposePostExtractor) - ├───n───> SUB/ATTRIBUTION (NULL, SubordinationPostAttributionExtractor2) - | ├─────────────s─────────────> 'This was what Obama announced on November 13 , 2008 .' - | └───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) - | ├────────s────────> 'This is on November 16 , 2008 .' - | └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - | ├───s───> 'This is before the start of the lame-duck session .' - | └───n───> 'He would resign his Senate seat .' - └──────────────────s──────────────────> 'This was to focus on his transition period for the presidency .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# Obama announced on November 13, 2008, that he would resign his Senate seat on November 16, 2008, before the start of the lame-duck session, to focus on his transition period for the presidency. - -a2904d9fa5e6499d98c581d7295cdd7e 0 He would resign his Senate seat . - S:UNKNOWN_SUBORDINATION This is before the start of the lame-duck session . - S:TEMPORAL This is on November 16 , 2008 . - S:ATTRIBUTION This was what Obama announced on November 13 , 2008 . - S:PURPOSE This was to focus on his transition period for the presidency . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 172/527 # - -'A photo has emerged of then-Senator Obama standing with controversial Nation of Islam leader Louis Farrakhan during a 2005 Congressional Black Caucus meeting on Capitol Hill.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) - ├─────────────s─────────────> 'Louis Farrakhan was Islam leader .' - └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - ├────────s────────> 'This was with controversial Nation of Louis Farrakhan .' - └───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) - ├───s───> 'This was during a 2005 Congressional Black Caucus meeting on Capitol Hill .' - └───n───> 'A photo has emerged of then-Senator Obama standing .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# A photo has emerged of then-Senator Obama standing with controversial Nation of Islam leader Louis Farrakhan during a 2005 Congressional Black Caucus meeting on Capitol Hill. - -6a45e5daacc84ff39ef41f9e409d40a5 0 A photo has emerged of then-Senator Obama standing . - S:SPATIAL This was during a 2005 Congressional Black Caucus meeting on Capitol Hill . - S:UNKNOWN_SUBORDINATION This was with controversial Nation of Louis Farrakhan . - L:ELABORATION debbd9ca8e644a10bcd161ff3b234db7 - -debbd9ca8e644a10bcd161ff3b234db7 1 Louis Farrakhan was Islam leader . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 173/527 # - -'In 2008, Farrakhan endorsed Obama's candidacy for President.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - ├────────s────────> 'This was for President .' - └───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - ├───s───> 'This was in 2008 .' - └───n───> 'Farrakhan endorsed Obama 's candidacy .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# In 2008, Farrakhan endorsed Obama's candidacy for President. - -8e967b250e51485496235494ef42228c 0 Farrakhan endorsed Obama 's candidacy . - S:TEMPORAL This was in 2008 . - S:UNKNOWN_SUBORDINATION This was for President . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 174/527 # - -'Obama cosponsored the Secure America and Orderly Immigration Act.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) - ├────────s────────> 'America was the Secure .' - └───n───> CO/LIST (NULL, PostListNPExtractor) - ├───n───> 'Obama cosponsored America .' - └───n───> 'Obama cosponsored Orderly Immigration Act .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# Obama cosponsored the Secure America and Orderly Immigration Act. - -ab49e896eb7241cc80c01ef1582be6e8 0 Obama cosponsored America . - L:LIST 6fb720f076ab447588c573a727066c99 - L:ELABORATION 3940ef437e3f4a4bbceaba7517e0b3a9 - -6fb720f076ab447588c573a727066c99 0 Obama cosponsored Orderly Immigration Act . - L:LIST ab49e896eb7241cc80c01ef1582be6e8 - L:ELABORATION 3940ef437e3f4a4bbceaba7517e0b3a9 - -3940ef437e3f4a4bbceaba7517e0b3a9 1 America was the Secure . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 175/527 # - -'He introduced two initiatives that bore his name: Lugar–Obama, which expanded the Nunn–Lugar Cooperative Threat Reduction concept to conventional weapons; and the Federal Funding Accountability and Transparency Act of 2006, which authorized the establishment of USAspending.gov, a web search engine on federal spending.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/DESCRIBING_DEFINITION ('which', NonRestrictiveRelativeClauseWhoWhichExtractor) - ├───n───> SUB/DESCRIBING_DEFINITION ('which', NonRestrictiveRelativeClauseWhoWhichExtractor) - | ├────────n────────> SUB/IDENTIFYING_DEFINITION ('that', RestrictiveRelativeClauseWhoWhichExtractor) - | | ├───n───> 'He introduced two initiatives .' - | | └───s───> 'Two initiatives bore his name : Lugar -- Obama -- Lugar Cooperative Threat Reduction concept to conventional weapons ; and the Federal Funding Accountability and Transparency Act of 2006 .' - | └───s───> SUB/ELABORATION (NULL, NonRestrictiveAppositionExtractor) - | ├────────s────────> 'USAspending.gov was a web search engine .' - | └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - | ├───s───> 'This was on federal spending .' - | └───n───> '2006 authorized the establishment of USAspending.gov .' - └──────────────────s──────────────────> 'Obama expanded the Nunn .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# He introduced two initiatives that bore his name: Lugar–Obama, which expanded the Nunn–Lugar Cooperative Threat Reduction concept to conventional weapons; and the Federal Funding Accountability and Transparency Act of 2006, which authorized the establishment of USAspending.gov, a web search engine on federal spending. - -b5b8ab9c53dc44a094d1751addc28942 0 He introduced two initiatives . - L:IDENTIFYING_DEFINITION f222e7c5f1bb46e98b81e3b315135915 - L:DESCRIBING_DEFINITION 4bf46edf356246e384212b54e1ded115 - L:DESCRIBING_DEFINITION 97a0f3c89eac496ebf74b23f5cc661af - -f222e7c5f1bb46e98b81e3b315135915 1 Two initiatives bore his name : Lugar -- Obama -- Lugar Cooperative Threat Reduction concept to conventional weapons ; and the Federal Funding Accountability and Transparency Act of 2006 . - -4bf46edf356246e384212b54e1ded115 1 2006 authorized the establishment of USAspending.gov . - S:UNKNOWN_SUBORDINATION This was on federal spending . - L:ELABORATION 294319d76c6d4b11a3c6f7447301a6f0 - -294319d76c6d4b11a3c6f7447301a6f0 2 USAspending.gov was a web search engine . - -97a0f3c89eac496ebf74b23f5cc661af 1 Obama expanded the Nunn . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 176/527 # - -'On June 3, 2008, Senator Obama—along with Senators Tom Carper, Tom Coburn, and John McCain—introduced follow-up legislation: Strengthening Transparency and Accountability in Federal Spending Act of 2008.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) - ├───────────────────────s───────────────────────> 'Obama was Senator .' - └───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) - ├──────────────────s──────────────────> 'Tom Carper was Senators .' - └───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) - ├─────────────s─────────────> 'This was in Federal Spending Act of 2008 .' - └───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - ├────────s────────> 'This was on June 3 , 2008 .' - └───n───> CO/LIST (NULL, PostListNPExtractor) - ├───n───> 'Obama -- along with Tom Carper , Tom Coburn , and John McCain -- introduced follow-up legislation .' - ├───n───> 'Obama -- along with Tom Carper , Tom Coburn , and John McCain -- introduced Strengthening Transparency .' - └───n───> 'Obama -- along with Tom Carper , Tom Coburn , and John McCain -- introduced Accountability .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# On June 3, 2008, Senator Obama—along with Senators Tom Carper, Tom Coburn, and John McCain—introduced follow-up legislation: Strengthening Transparency and Accountability in Federal Spending Act of 2008. - -cfce6f491b0c4fe8ab70c50921b3d70c 0 Obama -- along with Tom Carper , Tom Coburn , and John McCain -- introduced follow-up legislation . - S:TEMPORAL This was on June 3 , 2008 . - S:TEMPORAL This was in Federal Spending Act of 2008 . - L:LIST 392d36095c0840b498ed97efd6dded78 - L:LIST 349c9dde3fa5468d8e58996e10a90a08 - L:ELABORATION 409c2cae0e3a419da5842f13e957864d - L:ELABORATION 0a0eb766e34340c188cc04c1e64f382f - -392d36095c0840b498ed97efd6dded78 0 Obama -- along with Tom Carper , Tom Coburn , and John McCain -- introduced Strengthening Transparency . - S:TEMPORAL This was on June 3 , 2008 . - S:TEMPORAL This was in Federal Spending Act of 2008 . - L:LIST 349c9dde3fa5468d8e58996e10a90a08 - L:LIST cfce6f491b0c4fe8ab70c50921b3d70c - L:ELABORATION 409c2cae0e3a419da5842f13e957864d - L:ELABORATION 0a0eb766e34340c188cc04c1e64f382f - -349c9dde3fa5468d8e58996e10a90a08 0 Obama -- along with Tom Carper , Tom Coburn , and John McCain -- introduced Accountability . - S:TEMPORAL This was on June 3 , 2008 . - S:TEMPORAL This was in Federal Spending Act of 2008 . - L:LIST cfce6f491b0c4fe8ab70c50921b3d70c - L:LIST 392d36095c0840b498ed97efd6dded78 - L:ELABORATION 409c2cae0e3a419da5842f13e957864d - L:ELABORATION 0a0eb766e34340c188cc04c1e64f382f - -409c2cae0e3a419da5842f13e957864d 1 Tom Carper was Senators . - -0a0eb766e34340c188cc04c1e64f382f 1 Obama was Senator . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 177/527 # - -'Obama sponsored legislation that would have required nuclear plant owners to notify state and local authorities of radioactive leaks, but the bill failed to pass in the full Senate after being heavily modified in committee.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> CO/CONTRAST (', but', CoordinationExtractor) - ├───n───> SUB/IDENTIFYING_DEFINITION ('that', RestrictiveRelativeClauseWhoWhichExtractor) - | ├────────n────────> 'Obama sponsored legislation .' - | └───s───> SUB/PURPOSE (NULL, PurposePostExtractor) - | ├───n───> 'Legislation would have required nuclear plant owners .' - | └───s───> 'This was to notify state and local authorities of radioactive leaks .' - └────────n────────> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - ├───s───> 'This was after being heavily modified in committee .' - └───n───> 'The bill failed to pass in the full Senate .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# Obama sponsored legislation that would have required nuclear plant owners to notify state and local authorities of radioactive leaks, but the bill failed to pass in the full Senate after being heavily modified in committee. - -00043596d242458fbdf697a0fca96ce1 0 Obama sponsored legislation . - L:IDENTIFYING_DEFINITION 8bc52ef22a934859b5177fe51f85537d - L:CONTRAST 8c481bba937f432a82c17edf08915c69 - -8bc52ef22a934859b5177fe51f85537d 1 Legislation would have required nuclear plant owners . - S:PURPOSE This was to notify state and local authorities of radioactive leaks . - -8c481bba937f432a82c17edf08915c69 0 The bill failed to pass in the full Senate . - S:UNKNOWN_SUBORDINATION This was after being heavily modified in committee . - L:CONTRAST 00043596d242458fbdf697a0fca96ce1 - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 178/527 # - -'Regarding tort reform, Obama voted for the Class Action Fairness Act of 2005 and the FISA Amendments Act of 2008, which grants immunity from civil liability to telecommunications companies complicit with NSA warrantless wiretapping operations.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/DESCRIBING_DEFINITION ('which', NonRestrictiveRelativeClauseWhoWhichExtractor) - ├───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalInitialExtractor) - | ├────────s────────> 'This was regarding tort reform .' - | └───n───> CO/LIST (NULL, PostListNPExtractor) - | ├───n───> 'Obama voted for the Class Action Fairness Act of 2005 .' - | └───n───> 'Obama voted for the FISA Amendments Act of 2008 .' - └────────s────────> SUB/IDENTIFYING_DEFINITION ('', RestrictiveParticipialExtractor) - ├───n───> '2008 grants immunity from civil liability to telecommunications companies warrantless wiretapping operations .' - └───s───> 'Telecommunications companies are complicit with NSA .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# Regarding tort reform, Obama voted for the Class Action Fairness Act of 2005 and the FISA Amendments Act of 2008, which grants immunity from civil liability to telecommunications companies complicit with NSA warrantless wiretapping operations. - -cb82f06800e042a2ac4aae1269e6c8c8 0 Obama voted for the Class Action Fairness Act of 2005 . - S:UNKNOWN_SUBORDINATION This was regarding tort reform . - L:LIST 30b1f564f81e44df9e3cff53c6c3a0fe - L:DESCRIBING_DEFINITION ecf0027345af41b8b81398267274cf66 - -30b1f564f81e44df9e3cff53c6c3a0fe 0 Obama voted for the FISA Amendments Act of 2008 . - S:UNKNOWN_SUBORDINATION This was regarding tort reform . - L:LIST cb82f06800e042a2ac4aae1269e6c8c8 - L:DESCRIBING_DEFINITION ecf0027345af41b8b81398267274cf66 - -ecf0027345af41b8b81398267274cf66 1 2008 grants immunity from civil liability to telecommunications companies warrantless wiretapping operations . - L:IDENTIFYING_DEFINITION 26e88d5fb26645eab8f1ca2888b26a41 - -26e88d5fb26645eab8f1ca2888b26a41 2 Telecommunications companies are complicit with NSA . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 179/527 # - -'Gray-haired man and Obama stand, wearing casual polo shirts.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> CO/LIST (NULL, PreListNPExtractor) - ├───n───> 'Gray-haired man stand , wearing casual polo shirts .' - └───n───> 'Obama stand , wearing casual polo shirts .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# Gray-haired man and Obama stand, wearing casual polo shirts. - -07d9d5028d174d4ebb742579c10340b5 0 Gray-haired man stand , wearing casual polo shirts . - L:LIST 463dfdc2952b49d5a4b118d9e3314602 - -463dfdc2952b49d5a4b118d9e3314602 0 Obama stand , wearing casual polo shirts . - L:LIST 07d9d5028d174d4ebb742579c10340b5 - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 180/527 # - -'Obama wears sunglasses and holds something slung over his right shoulder.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> CO/LIST ('and', SharedNPPostCoordinationExtractor) - ├────────n────────> 'Obama wears sunglasses .' - └───n───> SUB/IDENTIFYING_DEFINITION ('', RestrictiveParticipialExtractor) - ├───n───> 'Obama holds something .' - └───s───> 'Something is slung over his right shoulder .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# Obama wears sunglasses and holds something slung over his right shoulder. - -cb2b7191a9234522ad5471c3b2f0274d 0 Obama wears sunglasses . - L:LIST 74bc0f026bb94d6eb87c5dea43743155 - -74bc0f026bb94d6eb87c5dea43743155 0 Obama holds something . - L:IDENTIFYING_DEFINITION ecdee1e3acff40b8907a119b626a6054 - L:LIST cb2b7191a9234522ad5471c3b2f0274d - -ecdee1e3acff40b8907a119b626a6054 1 Something is slung over his right shoulder . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 181/527 # - -'Obama and U.S. Senator Richard Lugar (R-IN) visit a Russian facility for dismantling mobile missiles (August 2005)' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) - ├───s───> 'Richard Lugar is U.S. Senator .' - └───n───> 'Obama and Richard Lugar -LRB- R-IN -RRB- visit a Russian facility for dismantling mobile missiles -LRB- August 2005 -RRB-' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# Obama and U.S. Senator Richard Lugar (R-IN) visit a Russian facility for dismantling mobile missiles (August 2005) - -3adedae4a86d46c5832e8ea55a282190 0 Obama and Richard Lugar -LRB- R-IN -RRB- visit a Russian facility for dismantling mobile missiles -LRB- August 2005 -RRB- - L:ELABORATION b186327bf158447e8d1795a0dc3ed6da - -b186327bf158447e8d1795a0dc3ed6da 1 Richard Lugar is U.S. Senator . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 182/527 # - -'In December 2006, President Bush signed into law the Democratic Republic of the Congo Relief, Security, and Democracy Promotion Act, marking the first federal legislation to be enacted with Obama as its primary sponsor.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) - ├──────────────────s──────────────────> 'Bush was President .' - └───n───> SUB/UNKNOWN_SUBORDINATION ('', ParticipialMiddleExtractor) - ├───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - | ├────────s────────> 'This was in December 2006 .' - | └───n───> CO/LIST (NULL, PostListNPExtractor) - | ├───n───> 'Bush signed into law the Democratic Republic of the Congo Relief .' - | ├───n───> 'Bush signed into law the Democratic Republic of Security .' - | └───n───> 'Bush signed into law the Democratic Republic of Democracy Promotion Act .' - └────────s────────> SUB/PURPOSE (NULL, PurposePostExtractor) - ├───n───> 'The Democratic Republic of the Congo Relief , Security , and Democracy Promotion Act was marking the first federal legislation .' - └───s───> 'This was to be enacted with Obama as its primary sponsor .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# In December 2006, President Bush signed into law the Democratic Republic of the Congo Relief, Security, and Democracy Promotion Act, marking the first federal legislation to be enacted with Obama as its primary sponsor. - -18bde22dc1ee4b65bb13efd491ba6f9d 0 Bush signed into law the Democratic Republic of the Congo Relief . - S:TEMPORAL This was in December 2006 . - L:LIST e850d0b68e774bb5946540642ff94acc - L:LIST 8d96ad60b11245c3a9bff660f4b78d0c - L:UNKNOWN_SUBORDINATION dfbdc822122140d0a9e6bc6a6a7cc078 - L:ELABORATION 7dd247eb88564299ae72c654f131b780 - -e850d0b68e774bb5946540642ff94acc 0 Bush signed into law the Democratic Republic of Security . - S:TEMPORAL This was in December 2006 . - L:LIST 8d96ad60b11245c3a9bff660f4b78d0c - L:LIST 18bde22dc1ee4b65bb13efd491ba6f9d - L:UNKNOWN_SUBORDINATION dfbdc822122140d0a9e6bc6a6a7cc078 - L:ELABORATION 7dd247eb88564299ae72c654f131b780 - -8d96ad60b11245c3a9bff660f4b78d0c 0 Bush signed into law the Democratic Republic of Democracy Promotion Act . - S:TEMPORAL This was in December 2006 . - L:LIST 18bde22dc1ee4b65bb13efd491ba6f9d - L:LIST e850d0b68e774bb5946540642ff94acc - L:UNKNOWN_SUBORDINATION dfbdc822122140d0a9e6bc6a6a7cc078 - L:ELABORATION 7dd247eb88564299ae72c654f131b780 - -dfbdc822122140d0a9e6bc6a6a7cc078 1 The Democratic Republic of the Congo Relief , Security , and Democracy Promotion Act was marking the first federal legislation . - S:PURPOSE This was to be enacted with Obama as its primary sponsor . - -7dd247eb88564299ae72c654f131b780 1 Bush was President . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 183/527 # - -'In January 2007, Obama and Senator Feingold introduced a corporate jet provision to the Honest Leadership and Open Government Act, which was signed into law in September 2007.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/DESCRIBING_DEFINITION ('which', NonRestrictiveRelativeClauseWhoWhichExtractor) - ├───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) - | ├─────────────s─────────────> 'Feingold was Obama and Senator .' - | └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - | ├────────s────────> 'This was to the Honest Leadership and Open Government Act .' - | └───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - | ├───s───> 'This was in January 2007 .' - | └───n───> 'Feingold introduced a corporate jet provision .' - └──────────────────s──────────────────> 'The Honest Leadership and Open Government Act was signed into law in September 2007 .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# In January 2007, Obama and Senator Feingold introduced a corporate jet provision to the Honest Leadership and Open Government Act, which was signed into law in September 2007. - -fbc745819ddd4deb805c06220b19c166 0 Feingold introduced a corporate jet provision . - S:TEMPORAL This was in January 2007 . - S:UNKNOWN_SUBORDINATION This was to the Honest Leadership and Open Government Act . - L:ELABORATION 06124eb9bc8746408ebb2c50719acdb6 - L:DESCRIBING_DEFINITION 098adb363ddb45b6b3f5f45f49d4e1e2 - -06124eb9bc8746408ebb2c50719acdb6 1 Feingold was Obama and Senator . - -098adb363ddb45b6b3f5f45f49d4e1e2 1 The Honest Leadership and Open Government Act was signed into law in September 2007 . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 184/527 # - -'Obama also introduced two unsuccessful bills: the Deceptive Practices and Voter Intimidation Prevention Act to criminalize deceptive practices in federal elections, and the Iraq War De-Escalation Act of 2007.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/PURPOSE (NULL, PurposePostExtractor) - ├───n───> 'Obama also introduced two unsuccessful bills : the Deceptive Practices and Voter Intimidation Prevention Act .' - └───s───> 'This was to criminalize deceptive practices in federal elections , and the Iraq War De-Escalation Act of 2007 .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# Obama also introduced two unsuccessful bills: the Deceptive Practices and Voter Intimidation Prevention Act to criminalize deceptive practices in federal elections, and the Iraq War De-Escalation Act of 2007. - -ace0c4343223466ba8c1406cc890d384 0 Obama also introduced two unsuccessful bills : the Deceptive Practices and Voter Intimidation Prevention Act . - S:PURPOSE This was to criminalize deceptive practices in federal elections , and the Iraq War De-Escalation Act of 2007 . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 185/527 # - -'Later in 2007, Obama sponsored an amendment to the Defense Authorization Act to add safeguards for personality-disorder military discharges.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/PURPOSE (NULL, PurposePostExtractor) - ├───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - | ├────────s────────> 'This was to the Defense Authorization Act .' - | └───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - | ├───s───> 'This was later in 2007 .' - | └───n───> 'Obama sponsored an amendment .' - └─────────────s─────────────> 'This was to add safeguards for personality-disorder military discharges .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# Later in 2007, Obama sponsored an amendment to the Defense Authorization Act to add safeguards for personality-disorder military discharges. - -f03dfff7e45e49bca53be3a30664a99c 0 Obama sponsored an amendment . - S:TEMPORAL This was later in 2007 . - S:UNKNOWN_SUBORDINATION This was to the Defense Authorization Act . - S:PURPOSE This was to add safeguards for personality-disorder military discharges . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 186/527 # - -'This amendment passed the full Senate in the spring of 2008.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) - ├───s───> 'This was in the spring of 2008 .' - └───n───> 'This amendment passed the full Senate .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# This amendment passed the full Senate in the spring of 2008. - -86145a9283db41f39c7a32ed68ffbf6a 0 This amendment passed the full Senate . - S:TEMPORAL This was in the spring of 2008 . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 187/527 # - -'He sponsored the Iran Sanctions Enabling Act supporting divestment of state pension funds from Iran's oil and gas industry, which was never enacted but later incorporated in the Comprehensive Iran Sanctions, Accountability, and Divestment Act of 2010; and co-sponsored legislation to reduce risks of nuclear terrorism.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/DESCRIBING_DEFINITION ('which', NonRestrictiveRelativeClauseWhoWhichExtractor) - ├───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) - | ├───s───> 'This was from Iran 's oil and gas industry .' - | └───n───> 'He sponsored the Iran Sanctions Enabling Act supporting divestment of state pension funds .' - └───s───> SUB/ELABORATION (NULL, NonRestrictiveAppositionExtractor) - ├───s───> 'The Comprehensive Iran Sanctions was Accountability .' - └───n───> 'Iran 's oil and gas industry was never enacted but later incorporated in the Comprehensive Iran Sanctions , and Divestment Act of 2010 ; and co-sponsored legislation to reduce risks of nuclear terrorism .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# He sponsored the Iran Sanctions Enabling Act supporting divestment of state pension funds from Iran's oil and gas industry, which was never enacted but later incorporated in the Comprehensive Iran Sanctions, Accountability, and Divestment Act of 2010; and co-sponsored legislation to reduce risks of nuclear terrorism. - -84af9fcb0cd14267a5cc609004b5d081 0 He sponsored the Iran Sanctions Enabling Act supporting divestment of state pension funds . - S:SPATIAL This was from Iran 's oil and gas industry . - L:DESCRIBING_DEFINITION 8cd940762e084a859237f0e6019f0074 - -8cd940762e084a859237f0e6019f0074 1 Iran 's oil and gas industry was never enacted but later incorporated in the Comprehensive Iran Sanctions , and Divestment Act of 2010 ; and co-sponsored legislation to reduce risks of nuclear terrorism . - L:ELABORATION f13f4fd840394dffb33c19c516469969 - -f13f4fd840394dffb33c19c516469969 2 The Comprehensive Iran Sanctions was Accountability . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 188/527 # - -'Obama also sponsored a Senate amendment to the State Children's Health Insurance Program, providing one year of job protection for family members caring for soldiers with combat-related injuries.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> CO/UNKNOWN_COORDINATION (NULL, SharedNPPostParticipalExtractor) - ├────────n────────> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - | ├───s───> 'This was to the State Children 's Health Insurance Program .' - | └───n───> 'Obama also sponsored a Senate amendment .' - └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - ├───s───> SUB/IDENTIFYING_DEFINITION ('', RestrictiveParticipialExtractor) - | ├───n───> 'This was for family members .' - | └───s───> 'Family members were caring for soldiers with combat-related injuries .' - └────────n────────> 'Obama also was providing one year of job protection .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# Obama also sponsored a Senate amendment to the State Children's Health Insurance Program, providing one year of job protection for family members caring for soldiers with combat-related injuries. - -2eb5349a8d554905826799f9e30c1318 0 Obama also sponsored a Senate amendment . - S:UNKNOWN_SUBORDINATION This was to the State Children 's Health Insurance Program . - -c3166a37934646cf8441c5c008b7f2c1 0 Obama also was providing one year of job protection . - L:UNKNOWN_SUBORDINATION f43473780a4c43bb98063d7781598ea3 - -f43473780a4c43bb98063d7781598ea3 1 This was for family members . - L:IDENTIFYING_DEFINITION ace5c27318b84652a6f47c98e5b0beb6 - -ace5c27318b84652a6f47c98e5b0beb6 2 Family members were caring for soldiers with combat-related injuries . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 189/527 # - -'Obama held assignments on the Senate Committees for Foreign Relations, Environment and Public Works and Veterans' Affairs through December 2006.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/ELABORATION (NULL, NonRestrictiveAppositionExtractor) - ├────────s────────> CO/LIST (NULL, PreListNPExtractor) - | ├───n───> 'Environment were Foreign Relations .' - | └───n───> 'Public Works and Veterans ' Affairs were Foreign Relations .' - └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - ├────────s────────> 'This was on the Senate Committees for Foreign Relations .' - └───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) - ├───s───> 'This was through December 2006 .' - └───n───> 'Obama held assignments .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# Obama held assignments on the Senate Committees for Foreign Relations, Environment and Public Works and Veterans' Affairs through December 2006. - -8a03b9bacec14e33bb61e8fad86f387b 0 Obama held assignments . - S:TEMPORAL This was through December 2006 . - S:UNKNOWN_SUBORDINATION This was on the Senate Committees for Foreign Relations . - L:ELABORATION 71f73398384e4018b21507116bcd0bfd - L:ELABORATION 953980e6b8a0411e9471e1bed768bb08 - -71f73398384e4018b21507116bcd0bfd 1 Environment were Foreign Relations . - L:LIST 953980e6b8a0411e9471e1bed768bb08 - -953980e6b8a0411e9471e1bed768bb08 1 Public Works and Veterans ' Affairs were Foreign Relations . - L:LIST 71f73398384e4018b21507116bcd0bfd - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 190/527 # - -'In January 2007, he left the Environment and Public Works committee and took additional assignments with Health, Education, Labor and Pensions and Homeland Security and Governmental Affairs.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> CO/LIST ('and', SharedNPPostCoordinationExtractor) - ├────────n────────> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - | ├───s───> 'This was in January 2007 .' - | └───n───> 'He left the Environment and Public Works committee .' - └───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - ├────────s────────> 'This was in January 2007 .' - └───n───> CO/LIST (NULL, PostListNPExtractor) - ├───n───> 'He took additional assignments with Health , Education , Labor and Pensions and Homeland Security .' - └───n───> 'He took additional assignments with Health , Education , Labor and Pensions and Governmental Affairs .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# In January 2007, he left the Environment and Public Works committee and took additional assignments with Health, Education, Labor and Pensions and Homeland Security and Governmental Affairs. - -3a028058634d4b8d8738a663a56c2200 0 He left the Environment and Public Works committee . - S:TEMPORAL This was in January 2007 . - L:LIST 8fb54a0383b14bb385c8b1942cd867f0 - L:LIST c23f49c294354202a758ba9ae942cb4f - -8fb54a0383b14bb385c8b1942cd867f0 0 He took additional assignments with Health , Education , Labor and Pensions and Homeland Security . - S:TEMPORAL This was in January 2007 . - L:LIST c23f49c294354202a758ba9ae942cb4f - L:LIST 3a028058634d4b8d8738a663a56c2200 - -c23f49c294354202a758ba9ae942cb4f 0 He took additional assignments with Health , Education , Labor and Pensions and Governmental Affairs . - S:TEMPORAL This was in January 2007 . - L:LIST 8fb54a0383b14bb385c8b1942cd867f0 - L:LIST 3a028058634d4b8d8738a663a56c2200 - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 191/527 # - -'He also became Chairman of the Senate's subcommittee on European Affairs.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - ├───s───> 'This was on European Affairs .' - └───n───> 'He also became Chairman of the Senate 's subcommittee .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# He also became Chairman of the Senate's subcommittee on European Affairs. - -c65afd0b3ab5405d8ce7b4008fd77cdb 0 He also became Chairman of the Senate 's subcommittee . - S:UNKNOWN_SUBORDINATION This was on European Affairs . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 192/527 # - -'As a member of the Senate Foreign Relations Committee, Obama made official trips to Eastern Europe, the Middle East, Central Asia and Africa.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) - ├───s───> CO/LIST (NULL, PostListNPExtractor) - | ├───n───> 'This was to Eastern Europe .' - | ├───n───> 'This was to the Middle East .' - | ├───n───> 'This was to Central Asia .' - | └───n───> 'This was to Africa .' - └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalInitialExtractor) - ├───s───> 'This was as a member of the Senate Foreign Relations Committee .' - └───n───> 'Obama made official trips .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# As a member of the Senate Foreign Relations Committee, Obama made official trips to Eastern Europe, the Middle East, Central Asia and Africa. - -bc1d4ec9045d4c8fb6f16dc7778d5ff3 0 Obama made official trips . - S:UNKNOWN_SUBORDINATION This was as a member of the Senate Foreign Relations Committee . - L:SPATIAL 647ffc6b956942c08ecc07b10f617443 - L:SPATIAL 99c448518a8e41559e9ce842f44fc516 - L:SPATIAL 093ed8f5a46945cdbcf3ce7fdd9badc5 - L:SPATIAL f85ed583ae614a92bf95b52003eb3b40 - -647ffc6b956942c08ecc07b10f617443 1 This was to Eastern Europe . - L:LIST 99c448518a8e41559e9ce842f44fc516 - L:LIST 093ed8f5a46945cdbcf3ce7fdd9badc5 - L:LIST f85ed583ae614a92bf95b52003eb3b40 - -99c448518a8e41559e9ce842f44fc516 1 This was to the Middle East . - L:LIST 093ed8f5a46945cdbcf3ce7fdd9badc5 - L:LIST f85ed583ae614a92bf95b52003eb3b40 - L:LIST 647ffc6b956942c08ecc07b10f617443 - -093ed8f5a46945cdbcf3ce7fdd9badc5 1 This was to Central Asia . - L:LIST f85ed583ae614a92bf95b52003eb3b40 - L:LIST 647ffc6b956942c08ecc07b10f617443 - L:LIST 99c448518a8e41559e9ce842f44fc516 - -f85ed583ae614a92bf95b52003eb3b40 1 This was to Africa . - L:LIST 647ffc6b956942c08ecc07b10f617443 - L:LIST 99c448518a8e41559e9ce842f44fc516 - L:LIST 093ed8f5a46945cdbcf3ce7fdd9badc5 - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 193/527 # - -'He met with Mahmoud Abbas before Abbas became President of the Palestinian National Authority, and gave a speech at the University of Nairobi in which he condemned corruption within the Kenyan government.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/TEMPORAL_AFTER ('before', SubordinationPostExtractor) - ├─────────────n─────────────> 'He met with Mahmoud Abbas .' - └───s───> CO/LIST (', and', SharedNPPostCoordinationExtractor) - ├────────n────────> 'Abbas became President of the Palestinian National Authority .' - └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - ├───s───> 'This was at the University of Nairobi in which he condemned corruption within the Kenyan government .' - └───n───> 'Abbas gave a speech .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# He met with Mahmoud Abbas before Abbas became President of the Palestinian National Authority, and gave a speech at the University of Nairobi in which he condemned corruption within the Kenyan government. - -dfa8e212807f42a89b20a0f1f6259f60 0 He met with Mahmoud Abbas . - L:TEMPORAL_AFTER c0548788581a4557b5aa5780eb6b868b - L:TEMPORAL_AFTER 9133f48b837848d78d452fc7995a3349 - -c0548788581a4557b5aa5780eb6b868b 1 Abbas became President of the Palestinian National Authority . - L:LIST 9133f48b837848d78d452fc7995a3349 - -9133f48b837848d78d452fc7995a3349 1 Abbas gave a speech . - S:UNKNOWN_SUBORDINATION This was at the University of Nairobi in which he condemned corruption within the Kenyan government . - L:LIST c0548788581a4557b5aa5780eb6b868b - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 194/527 # - -'On February 10, 2007, Obama announced his candidacy for President of the United States in front of the Old State Capitol building in Springfield, Illinois.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) - ├──────────────────s──────────────────> 'This was for President of the United States .' - └───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) - ├─────────────s─────────────> 'This was in front of the Old State Capitol building .' - └───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) - ├────────s────────> 'This was in Springfield , Illinois .' - └───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - ├───s───> 'This was on February 10 , 2007 .' - └───n───> 'Obama announced his candidacy .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# On February 10, 2007, Obama announced his candidacy for President of the United States in front of the Old State Capitol building in Springfield, Illinois. - -005572bb17f945c19e62073571700508 0 Obama announced his candidacy . - S:TEMPORAL This was on February 10 , 2007 . - S:SPATIAL This was in Springfield , Illinois . - S:SPATIAL This was in front of the Old State Capitol building . - S:SPATIAL This was for President of the United States . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 195/527 # - -'The choice of the announcement site was viewed as symbolic because it was also where Abraham Lincoln delivered his historic House Divided speech in 1858.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/CAUSE ('because', SubordinationPostExtractor) - ├─────────────n─────────────> 'The choice of the announcement site was viewed as symbolic .' - └───s───> SUB/ELABORATION ('where', SubordinationPostExtractor) - ├────────n────────> 'It was also .' - └───s───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) - ├───s───> 'This was in 1858 .' - └───n───> 'Abraham Lincoln delivered his historic House Divided speech .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# The choice of the announcement site was viewed as symbolic because it was also where Abraham Lincoln delivered his historic House Divided speech in 1858. - -6a3f75bc13be42889c9ec5fa456f3152 0 The choice of the announcement site was viewed as symbolic . - L:CAUSE 07fc337694244811a56416bc7f9224d9 - -07fc337694244811a56416bc7f9224d9 1 It was also . - L:ELABORATION afb08c1a451a491c83f5fc4e2cc741f3 - -afb08c1a451a491c83f5fc4e2cc741f3 2 Abraham Lincoln delivered his historic House Divided speech . - S:TEMPORAL This was in 1858 . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 196/527 # - -'Obama emphasized issues of rapidly ending the Iraq War, increasing energy independence, and reforming the health care system, in a campaign that projected themes of hope and change.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/IDENTIFYING_DEFINITION ('that', RestrictiveRelativeClauseWhoWhichExtractor) - ├───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalMiddleFinalExtractor) - | ├───s───> 'This was in a campaign .' - | └───n───> 'Obama emphasized issues of rapidly ending the Iraq War , increasing energy independence , and reforming the health care system .' - └────────s────────> 'A campaign projected themes of hope and change .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# Obama emphasized issues of rapidly ending the Iraq War, increasing energy independence, and reforming the health care system, in a campaign that projected themes of hope and change. - -eae18ac296714ebfa0a1916d2bf089d0 0 Obama emphasized issues of rapidly ending the Iraq War , increasing energy independence , and reforming the health care system . - S:UNKNOWN_SUBORDINATION This was in a campaign . - L:IDENTIFYING_DEFINITION 291a898a1ce44d70ac0833c872c28a38 - -291a898a1ce44d70ac0833c872c28a38 1 A campaign projected themes of hope and change . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 197/527 # - -'Numerous candidates entered the Democratic Party presidential primaries.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> 'Numerous candidates entered the Democratic Party presidential primaries .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# Numerous candidates entered the Democratic Party presidential primaries. - -7829d74fcb77467e8911572efa768411 0 Numerous candidates entered the Democratic Party presidential primaries . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 198/527 # - -'The field narrowed to a duel between Obama and Senator Hillary Clinton after early contests, with the race remaining close throughout the primary process but with Obama gaining a steady lead in pledged delegates due to better long-range planning, superior fundraising, dominant organizing in caucus states, and better exploitation of delegate allocation rules.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) - ├───────────────────────s───────────────────────> 'Hillary Clinton was a duel between Obama and Senator .' - └───n───> SUB/ELABORATION (NULL, NonRestrictiveAppositionExtractor) - ├──────────────────s──────────────────> 'Better long-range planning was superior fundraising .' - └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - ├─────────────s─────────────> 'This was after early contests .' - └───n───> CO/UNKNOWN_COORDINATION (NULL, SharedNPPostParticipalExtractor) - ├───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalMiddleFinalExtractor) - | ├───s───> 'This was with the race remaining close throughout the primary process but with Obama .' - | └───n───> 'The field narrowed to Hillary Clinton .' - └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - ├───s───> 'This was in pledged delegates due to better long-range planning dominant organizing in caucus states , and better exploitation of delegate allocation rules .' - └───n───> 'The field was gaining a steady lead .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# The field narrowed to a duel between Obama and Senator Hillary Clinton after early contests, with the race remaining close throughout the primary process but with Obama gaining a steady lead in pledged delegates due to better long-range planning, superior fundraising, dominant organizing in caucus states, and better exploitation of delegate allocation rules. - -9a062d3eb5ad4e2d93d26ee9a7a31b38 0 The field narrowed to Hillary Clinton . - S:UNKNOWN_SUBORDINATION This was with the race remaining close throughout the primary process but with Obama . - S:UNKNOWN_SUBORDINATION This was after early contests . - L:ELABORATION e5fe70e4575a4f1dba45d68d3942ce62 - L:ELABORATION 2f9870274bde4239ba876685a43a2d61 - -a65374022dfe45e498526029d13bee93 0 The field was gaining a steady lead . - S:UNKNOWN_SUBORDINATION This was in pledged delegates due to better long-range planning dominant organizing in caucus states , and better exploitation of delegate allocation rules . - S:UNKNOWN_SUBORDINATION This was after early contests . - L:ELABORATION e5fe70e4575a4f1dba45d68d3942ce62 - L:ELABORATION 2f9870274bde4239ba876685a43a2d61 - -e5fe70e4575a4f1dba45d68d3942ce62 1 Better long-range planning was superior fundraising . - -2f9870274bde4239ba876685a43a2d61 1 Hillary Clinton was a duel between Obama and Senator . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 199/527 # - -'On June 7, 2008, Clinton ended her campaign and endorsed Obama.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> CO/LIST ('and', SharedNPPostCoordinationExtractor) - ├───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - | ├───s───> 'This was on June 7 , 2008 .' - | └───n───> 'Clinton ended her campaign .' - └───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - ├───s───> 'This was on June 7 , 2008 .' - └───n───> 'Clinton endorsed Obama .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# On June 7, 2008, Clinton ended her campaign and endorsed Obama. - -04984677ff764a0881f3251d4c32b8d5 0 Clinton ended her campaign . - S:TEMPORAL This was on June 7 , 2008 . - L:LIST 2ec8906453c3464b9161428f786c8fb7 - -2ec8906453c3464b9161428f786c8fb7 0 Clinton endorsed Obama . - S:TEMPORAL This was on June 7 , 2008 . - L:LIST 04984677ff764a0881f3251d4c32b8d5 - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 200/527 # - -'During both the primary process and the general election, Obama's campaign set numerous fundraising records, particularly in the quantity of small donations.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalInitialExtractor) - ├────────s────────> 'This was during both the primary process and the general election .' - └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalMiddleFinalExtractor) - ├───s───> 'This was particularly in the quantity of small donations .' - └───n───> 'Obama 's campaign set numerous fundraising records .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# During both the primary process and the general election, Obama's campaign set numerous fundraising records, particularly in the quantity of small donations. - -1fa0d93f44304bca843936f91ab5ab1b 0 Obama 's campaign set numerous fundraising records . - S:UNKNOWN_SUBORDINATION This was particularly in the quantity of small donations . - S:UNKNOWN_SUBORDINATION This was during both the primary process and the general election . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 201/527 # - -'On June 19, 2008, Obama became the first major-party presidential candidate to turn down public financing in the general election since the system was created in 1976.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/PURPOSE (NULL, PurposePostExtractor) - ├───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - | ├───s───> 'This was on June 19 , 2008 .' - | └───n───> 'Obama became the first major-party presidential candidate .' - └────────s────────> 'This was to turn down public financing in the general election since the system was created in 1976 .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# On June 19, 2008, Obama became the first major-party presidential candidate to turn down public financing in the general election since the system was created in 1976. - -f3eb618399c34a1981014125de483309 0 Obama became the first major-party presidential candidate . - S:TEMPORAL This was on June 19 , 2008 . - S:PURPOSE This was to turn down public financing in the general election since the system was created in 1976 . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 202/527 # - -'John McCain was nominated as the Republican candidate, and he selected Sarah Palin as his running mate.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> CO/LIST (', and', CoordinationExtractor) - ├───n───> 'John McCain was nominated as the Republican candidate .' - └───n───> 'He selected Sarah Palin as his running mate .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# John McCain was nominated as the Republican candidate, and he selected Sarah Palin as his running mate. - -d4c125f650bf4d8895e6b64e9f34e380 0 John McCain was nominated as the Republican candidate . - L:LIST 285293e9fe5a477e9e7a6dbb576f1697 - -285293e9fe5a477e9e7a6dbb576f1697 0 He selected Sarah Palin as his running mate . - L:LIST d4c125f650bf4d8895e6b64e9f34e380 - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 203/527 # - -'The two candidates engaged in three presidential debates in September and October 2008.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) - ├───s───> CO/LIST (NULL, PostListNPExtractor) - | ├───n───> 'This was in September .' - | └───n───> 'This was in October 2008 .' - └────────n────────> 'The two candidates engaged in three presidential debates .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# The two candidates engaged in three presidential debates in September and October 2008. - -b9af5759cd204d438bec7f6193337a6c 0 The two candidates engaged in three presidential debates . - L:TEMPORAL 26bf2c193f714e78b1a8d07049818dd2 - L:TEMPORAL ffcaee751ad44ac68cf79fa10c428c38 - -26bf2c193f714e78b1a8d07049818dd2 1 This was in September . - L:LIST ffcaee751ad44ac68cf79fa10c428c38 - -ffcaee751ad44ac68cf79fa10c428c38 1 This was in October 2008 . - L:LIST 26bf2c193f714e78b1a8d07049818dd2 - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 204/527 # - -'On November 4, Obama won the presidency with 365 electoral votes to 173 received by McCain.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) - ├─────────────s─────────────> 'This was with 365 electoral votes .' - └───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) - ├───s───> SUB/IDENTIFYING_DEFINITION ('', RestrictiveParticipialExtractor) - | ├───n───> 'This was to 173 .' - | └───s───> '173 was received by McCain .' - └───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - ├───s───> 'This was on November 4 .' - └───n───> 'Obama won the presidency .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# On November 4, Obama won the presidency with 365 electoral votes to 173 received by McCain. - -b0e2e06e3b9d42358d52cec140e003cc 0 Obama won the presidency . - S:TEMPORAL This was on November 4 . - S:TEMPORAL This was with 365 electoral votes . - L:TEMPORAL cbed0faa2b544b45be6624b3a0c57473 - -cbed0faa2b544b45be6624b3a0c57473 1 This was to 173 . - L:IDENTIFYING_DEFINITION ab08940cdccf4f17bf62003554b2999b - -ab08940cdccf4f17bf62003554b2999b 2 173 was received by McCain . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 205/527 # - -'Obama won 52.9% of the popular vote to McCain's 45.7%.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) - ├───s───> 'This was to McCain 's 45.7 % .' - └───n───> 'Obama won 52.9 % of the popular vote .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# Obama won 52.9% of the popular vote to McCain's 45.7%. - -c0d49d1db08f4670817139ce426105e0 0 Obama won 52.9 % of the popular vote . - S:TEMPORAL This was to McCain 's 45.7 % . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 206/527 # - -'He became the first African American to be elected president.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/PURPOSE (NULL, PurposePostExtractor) - ├───n───> 'He became the first African American .' - └───s───> 'This was to be elected president .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# He became the first African American to be elected president. - -ec9cc9c815504da68248afe486dd9ffd 0 He became the first African American . - S:PURPOSE This was to be elected president . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 207/527 # - -'Obama delivered his victory speech before hundreds of thousands of supporters in Chicago's Grant Park.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - ├────────s────────> 'This was before hundreds of thousands of supporters .' - └───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) - ├───s───> 'This was in Chicago 's Grant Park .' - └───n───> 'Obama delivered his victory speech .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# Obama delivered his victory speech before hundreds of thousands of supporters in Chicago's Grant Park. - -2d2710b16cbe4567aa0fe853d548a08f 0 Obama delivered his victory speech . - S:SPATIAL This was in Chicago 's Grant Park . - S:UNKNOWN_SUBORDINATION This was before hundreds of thousands of supporters . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 208/527 # - -'Obama greets former Governor Mitt Romney in the Oval Office on November 29, 2012, in their first meeting since Obama's re-election victory over Romney' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) - ├─────────────s─────────────> 'Mitt Romney is former Governor .' - └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - ├────────s────────> 'This is in their first meeting since Obama 's re-election victory over Romney .' - └───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) - ├───s───> 'This is on November 29 , 2012 .' - └───n───> 'Obama greets Mitt Romney in the Oval Office .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# Obama greets former Governor Mitt Romney in the Oval Office on November 29, 2012, in their first meeting since Obama's re-election victory over Romney - -7dbcea9c713f4d8c82db9046fff853b3 0 Obama greets Mitt Romney in the Oval Office . - S:TEMPORAL This is on November 29 , 2012 . - S:UNKNOWN_SUBORDINATION This is in their first meeting since Obama 's re-election victory over Romney . - L:ELABORATION 59b8aa5cf5e640bcbef1c30d036a5bcb - -59b8aa5cf5e640bcbef1c30d036a5bcb 1 Mitt Romney is former Governor . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 209/527 # - -'On April 4, 2011, Obama announced his reelection campaign for 2012 in a video titled It Begins with Us that he posted on his website and filed election papers with the Federal Election Commission.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) - ├────────────────────────────s────────────────────────────> 'This was for 2012 .' - └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - ├───s───> SUB/IDENTIFYING_DEFINITION ('', RestrictiveParticipialExtractor) - | ├──────────────────n──────────────────> 'This was in a video .' - | └───s───> SUB/UNKNOWN_SUBORDINATION ('that', SubordinationPostExtractor) - | ├────────n────────> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - | | ├───s───> 'This was with Us .' - | | └───n───> 'A video was titled It Begins .' - | └───s───> CO/LIST ('and', SharedNPPostCoordinationExtractor) - | ├────────n────────> 'He posted on his website .' - | └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - | ├───s───> 'This was with the Federal Election Commission .' - | └───n───> 'He filed election papers .' - └──────────────────n──────────────────> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - ├───s───> 'This was on April 4 , 2011 .' - └───n───> 'Obama announced his reelection campaign .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# On April 4, 2011, Obama announced his reelection campaign for 2012 in a video titled It Begins with Us that he posted on his website and filed election papers with the Federal Election Commission. - -432cb59734274d799d3a546f983ab6e7 0 Obama announced his reelection campaign . - S:TEMPORAL This was on April 4 , 2011 . - S:TEMPORAL This was for 2012 . - L:UNKNOWN_SUBORDINATION dfbaf3670540419fb2698743aecda0e8 - -dfbaf3670540419fb2698743aecda0e8 1 This was in a video . - L:IDENTIFYING_DEFINITION f24d36f39aed457081561fd8fad573dd - -f24d36f39aed457081561fd8fad573dd 2 A video was titled It Begins . - S:UNKNOWN_SUBORDINATION This was with Us . - L:UNKNOWN_SUBORDINATION 43510d5b0a114825a2c0ac07efc0093b - L:UNKNOWN_SUBORDINATION b4e25d314db948e4b78e9e1dce2493d7 - -43510d5b0a114825a2c0ac07efc0093b 3 He posted on his website . - L:LIST b4e25d314db948e4b78e9e1dce2493d7 - -b4e25d314db948e4b78e9e1dce2493d7 3 He filed election papers . - S:UNKNOWN_SUBORDINATION This was with the Federal Election Commission . - L:LIST 43510d5b0a114825a2c0ac07efc0093b - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 210/527 # - -'As the incumbent president he ran virtually unopposed in the Democratic Party presidential primaries, and on April 3, 2012, Obama had secured the 2778 convention delegates needed to win the Democratic nomination.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> CO/LIST (', and', CoordinationExtractor) - ├───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalInitialExtractor) - | ├───s───> 'This was as the incumbent president .' - | └───n───> 'He ran virtually unopposed in the Democratic Party presidential primaries .' - └───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - ├───s───> 'This was on April 3 , 2012 .' - └───n───> 'Obama had secured the 2778 convention delegates needed to win the Democratic nomination .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# As the incumbent president he ran virtually unopposed in the Democratic Party presidential primaries, and on April 3, 2012, Obama had secured the 2778 convention delegates needed to win the Democratic nomination. - -dbb1e9d335aa41709c6d90714c600e8d 0 He ran virtually unopposed in the Democratic Party presidential primaries . - S:UNKNOWN_SUBORDINATION This was as the incumbent president . - L:LIST 8da0b7c497b5425bb6f8207ce57a98d2 - -8da0b7c497b5425bb6f8207ce57a98d2 0 Obama had secured the 2778 convention delegates needed to win the Democratic nomination . - S:TEMPORAL This was on April 3 , 2012 . - L:LIST dbb1e9d335aa41709c6d90714c600e8d - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 211/527 # - -'At the Democratic National Convention in Charlotte, North Carolina, Obama and Joe Biden were formally nominated by former President Bill Clinton as the Democratic Party candidates for president and vice president in the general election.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) - ├──────────────────s──────────────────> 'Bill Clinton was former President .' - └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - ├─────────────s─────────────> 'This was in the general election .' - └───n───> SUB/SPATIAL (NULL, PrepositionalInitialExtractor) - ├────────s────────> 'This was at the Democratic National Convention in Charlotte .' - └───n───> CO/LIST (NULL, PreListNPExtractor) - ├───n───> 'North Carolina were formally nominated by Bill Clinton as the Democratic Party candidates for president and vice president .' - ├───n───> 'Obama were formally nominated by Bill Clinton as the Democratic Party candidates for president and vice president .' - └───n───> 'Joe Biden were formally nominated by Bill Clinton as the Democratic Party candidates for president and vice president .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# At the Democratic National Convention in Charlotte, North Carolina, Obama and Joe Biden were formally nominated by former President Bill Clinton as the Democratic Party candidates for president and vice president in the general election. - -9a3ef80004d741a98359fd893aec4db6 0 North Carolina were formally nominated by Bill Clinton as the Democratic Party candidates for president and vice president . - S:SPATIAL This was at the Democratic National Convention in Charlotte . - S:UNKNOWN_SUBORDINATION This was in the general election . - L:LIST 3a9b06e7a4bc4fd4a061bfa89a81e3f8 - L:LIST 646b505d35364ec8b0d4d5d909d08b09 - L:ELABORATION 07a15d77467a4936ab19ae07b3ac64db - -3a9b06e7a4bc4fd4a061bfa89a81e3f8 0 Obama were formally nominated by Bill Clinton as the Democratic Party candidates for president and vice president . - S:SPATIAL This was at the Democratic National Convention in Charlotte . - S:UNKNOWN_SUBORDINATION This was in the general election . - L:LIST 646b505d35364ec8b0d4d5d909d08b09 - L:LIST 9a3ef80004d741a98359fd893aec4db6 - L:ELABORATION 07a15d77467a4936ab19ae07b3ac64db - -646b505d35364ec8b0d4d5d909d08b09 0 Joe Biden were formally nominated by Bill Clinton as the Democratic Party candidates for president and vice president . - S:SPATIAL This was at the Democratic National Convention in Charlotte . - S:UNKNOWN_SUBORDINATION This was in the general election . - L:LIST 9a3ef80004d741a98359fd893aec4db6 - L:LIST 3a9b06e7a4bc4fd4a061bfa89a81e3f8 - L:ELABORATION 07a15d77467a4936ab19ae07b3ac64db - -07a15d77467a4936ab19ae07b3ac64db 1 Bill Clinton was former President . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 212/527 # - -'Their main opponents were Republicans Mitt Romney, the former governor of Massachusetts, and Representative Paul Ryan of Wisconsin.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) - ├─────────────s─────────────> 'Mitt Romney was Republicans .' - └───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) - ├────────s────────> 'Paul Ryan was Representative .' - └───n───> CO/LIST (NULL, PostListNPExtractor) - ├───n───> 'Their main opponents were Mitt Romney .' - ├───n───> 'Their main opponents were the former governor of Massachusetts .' - └───n───> 'Their main opponents were Paul Ryan of Wisconsin .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# Their main opponents were Republicans Mitt Romney, the former governor of Massachusetts, and Representative Paul Ryan of Wisconsin. - -19e32a564f074be6a0fbcd65b68f43d1 0 Their main opponents were Mitt Romney . - L:LIST 93132108b6f84d56abf5684d5b99a57c - L:LIST 7996cbd050f24d20b13eaaceb85f0aea - L:ELABORATION 4a82246621424dba8a9f13eb9a83c17b - L:ELABORATION c957e5e640064a29ad97a70cb18e861c - -93132108b6f84d56abf5684d5b99a57c 0 Their main opponents were the former governor of Massachusetts . - L:LIST 7996cbd050f24d20b13eaaceb85f0aea - L:LIST 19e32a564f074be6a0fbcd65b68f43d1 - L:ELABORATION 4a82246621424dba8a9f13eb9a83c17b - L:ELABORATION c957e5e640064a29ad97a70cb18e861c - -7996cbd050f24d20b13eaaceb85f0aea 0 Their main opponents were Paul Ryan of Wisconsin . - L:LIST 19e32a564f074be6a0fbcd65b68f43d1 - L:LIST 93132108b6f84d56abf5684d5b99a57c - L:ELABORATION 4a82246621424dba8a9f13eb9a83c17b - L:ELABORATION c957e5e640064a29ad97a70cb18e861c - -4a82246621424dba8a9f13eb9a83c17b 1 Paul Ryan was Representative . - -c957e5e640064a29ad97a70cb18e861c 1 Mitt Romney was Republicans . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 213/527 # - -'On November 6, 2012, Obama won 332 electoral votes, exceeding the 270 required for him to be reelected as president.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> CO/UNKNOWN_COORDINATION (NULL, SharedNPPostParticipalExtractor) - ├───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - | ├───s───> 'This was on November 6 , 2012 .' - | └───n───> 'Obama won 332 electoral votes .' - └───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - ├───s───> 'This was on November 6 , 2012 .' - └───n───> 'Obama was exceeding the 270 required for him to be reelected as president .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# On November 6, 2012, Obama won 332 electoral votes, exceeding the 270 required for him to be reelected as president. - -1c8d641e59f84b76bbe86caf57c89ee3 0 Obama won 332 electoral votes . - S:TEMPORAL This was on November 6 , 2012 . - -4376a43d599c4393b74b52fe1b4c10c7 0 Obama was exceeding the 270 required for him to be reelected as president . - S:TEMPORAL This was on November 6 , 2012 . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 214/527 # - -'With 51.1% of the popular vote, Obama became the first Democratic president since Franklin D. Roosevelt to win the majority of the popular vote twice.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/PURPOSE (NULL, PurposePostExtractor) - ├───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - | ├────────s────────> 'This was since Franklin D. Roosevelt .' - | └───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - | ├───s───> 'This was with 51.1 % of the popular vote .' - | └───n───> 'Obama became the first Democratic president .' - └─────────────s─────────────> 'This was to win the majority of the popular vote twice .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# With 51.1% of the popular vote, Obama became the first Democratic president since Franklin D. Roosevelt to win the majority of the popular vote twice. - -656297596f894cddb42f14e8251fa7d2 0 Obama became the first Democratic president . - S:TEMPORAL This was with 51.1 % of the popular vote . - S:UNKNOWN_SUBORDINATION This was since Franklin D. Roosevelt . - S:PURPOSE This was to win the majority of the popular vote twice . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 215/527 # - -'President Obama addressed supporters and volunteers at Chicago's McCormick Place after his reelection and said: Tonight you voted for action, not politics as usual.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> CO/UNKNOWN_COORDINATION (':', CoordinationExtractor) - ├───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) - | ├──────────────────s──────────────────> 'Obama was President .' - | └───n───> CO/LIST ('and', SharedNPPostCoordinationExtractor) - | ├───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) - | | ├────────s────────> 'This was at Chicago 's McCormick Place .' - | | └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - | | ├───s───> 'This was after his reelection .' - | | └───n───> 'Obama addressed supporters and volunteers .' - | └─────────────n─────────────> 'Obama said .' - └──────────────────n──────────────────> SUB/UNKNOWN_SUBORDINATION (NULL, AdjectivalAdverbialMiddleFinalExtractor) - ├───s───> 'This was not politics as usual .' - └───n───> 'Tonight you voted for action .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# President Obama addressed supporters and volunteers at Chicago's McCormick Place after his reelection and said: Tonight you voted for action, not politics as usual. - -969ab2c262b144d38f12dede8e3999f4 0 Obama addressed supporters and volunteers . - S:UNKNOWN_SUBORDINATION This was after his reelection . - S:SPATIAL This was at Chicago 's McCormick Place . - L:LIST 1e385b49bffc4336b8332e473f8f547d - L:ELABORATION 028dd86c85f54066ba1f322f65a991f1 - -1e385b49bffc4336b8332e473f8f547d 0 Obama said . - L:LIST 969ab2c262b144d38f12dede8e3999f4 - L:ELABORATION 028dd86c85f54066ba1f322f65a991f1 - -028dd86c85f54066ba1f322f65a991f1 1 Obama was President . - -00bcdcbd187244ab882c1184b6328418 0 Tonight you voted for action . - S:UNKNOWN_SUBORDINATION This was not politics as usual . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 216/527 # - -'You elected us to focus on your jobs, not ours.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> 'You elected us to focus on your jobs , not ours .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# You elected us to focus on your jobs, not ours. - -0f902fb4e0cd45559b3c13a663107aa7 0 You elected us to focus on your jobs , not ours . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 217/527 # - -'And in the coming weeks and months, I am looking forward to reaching out and working with leaders of both parties.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> 'And in the coming weeks and months , I am looking forward to reaching out and working with leaders of both parties .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# And in the coming weeks and months, I am looking forward to reaching out and working with leaders of both parties. - -9a2ec2833f104a33967da4281775e23e 0 And in the coming weeks and months , I am looking forward to reaching out and working with leaders of both parties . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 218/527 # - -'The inauguration of Barack Obama as the 44th President took place on January 20, 2009.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) - ├───s───> 'This was on January 20 , 2009 .' - └───n───> 'The inauguration of Barack Obama as the 44th President took place .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# The inauguration of Barack Obama as the 44th President took place on January 20, 2009. - -2e63764e315b46dca67181e10b30b222 0 The inauguration of Barack Obama as the 44th President took place . - S:TEMPORAL This was on January 20 , 2009 . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 219/527 # - -'In his first few days in office, Obama issued executive orders and presidential memoranda directing the U.S. military to develop plans to withdraw troops from Iraq.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) - ├─────────────s─────────────> 'This was from Iraq .' - └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalInitialExtractor) - ├────────s────────> 'This was in his first few days in office .' - └───n───> CO/LIST (NULL, PostListNPExtractor) - ├───n───> 'Obama issued executive orders directing the U.S. military to develop plans to withdraw troops .' - └───n───> 'Obama issued presidential memoranda directing the U.S. military to develop plans to withdraw troops .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# In his first few days in office, Obama issued executive orders and presidential memoranda directing the U.S. military to develop plans to withdraw troops from Iraq. - -96ea04a897e84537b309d0762b66947c 0 Obama issued executive orders directing the U.S. military to develop plans to withdraw troops . - S:UNKNOWN_SUBORDINATION This was in his first few days in office . - S:SPATIAL This was from Iraq . - L:LIST 738f22b260ac4524b5f684118af9b072 - -738f22b260ac4524b5f684118af9b072 0 Obama issued presidential memoranda directing the U.S. military to develop plans to withdraw troops . - S:UNKNOWN_SUBORDINATION This was in his first few days in office . - S:SPATIAL This was from Iraq . - L:LIST 96ea04a897e84537b309d0762b66947c - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 220/527 # - -'He ordered the closing of the Guantanamo Bay detention camp, but Congress prevented the closure by refusing to appropriate the required funds and preventing moving any Guantanamo detainee into the U.S. or to other countries.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> CO/CONTRAST (', but', CoordinationExtractor) - ├──────────────────n──────────────────> 'He ordered the closing of the Guantanamo Bay detention camp .' - └───n───> CO/UNKNOWN_COORDINATION (NULL, SharedNPPostParticipalExtractor) - ├─────────────n─────────────> 'Congress prevented the closure .' - └───n───> CO/LIST ('and', SharedNPPostCoordinationExtractor) - ├────────n────────> 'Congress was refusing to appropriate the required funds .' - └───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) - ├───s───> 'This was into the U.S. or to other countries .' - └───n───> 'Congress was preventing moving any Guantanamo detainee .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# He ordered the closing of the Guantanamo Bay detention camp, but Congress prevented the closure by refusing to appropriate the required funds and preventing moving any Guantanamo detainee into the U.S. or to other countries. - -ecd5172b6d7f44f2ac47af343beb7b3f 0 He ordered the closing of the Guantanamo Bay detention camp . - L:CONTRAST 20af7e8c0dad4346bbdc80200bd8d4c5 - L:CONTRAST 6f3b7868c67d4a17a97b68bd12c954c9 - L:CONTRAST 4b80014051304671b6457c360dd62f02 - -20af7e8c0dad4346bbdc80200bd8d4c5 0 Congress prevented the closure . - L:CONTRAST ecd5172b6d7f44f2ac47af343beb7b3f - -6f3b7868c67d4a17a97b68bd12c954c9 0 Congress was refusing to appropriate the required funds . - L:LIST 4b80014051304671b6457c360dd62f02 - L:CONTRAST ecd5172b6d7f44f2ac47af343beb7b3f - -4b80014051304671b6457c360dd62f02 0 Congress was preventing moving any Guantanamo detainee . - S:SPATIAL This was into the U.S. or to other countries . - L:LIST 6f3b7868c67d4a17a97b68bd12c954c9 - L:CONTRAST ecd5172b6d7f44f2ac47af343beb7b3f - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 221/527 # - -'Obama reduced the secrecy given to presidential records.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - ├───s───> 'This was given to presidential records .' - └───n───> 'Obama reduced the secrecy .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# Obama reduced the secrecy given to presidential records. - -f1fe98b7f2584712b72c8ceac42138dc 0 Obama reduced the secrecy . - S:UNKNOWN_SUBORDINATION This was given to presidential records . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 222/527 # - -'He also revoked President George W. Bush's restoration of President Ronald Reagan's Mexico City Policy prohibiting federal aid to international family planning organizations that perform or provide counseling about abortion.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) - ├─────────────s─────────────> 'George W. Bush was President .' - └───n───> SUB/IDENTIFYING_DEFINITION ('that', RestrictiveRelativeClauseWhoWhichExtractor) - ├───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - | ├───s───> 'This was to international family planning organizations .' - | └───n───> 'He also revoked George W. Bush 's restoration of Ronald Reagan 's Mexico City Policy prohibiting federal aid .' - └───s───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - ├───s───> 'This is about abortion .' - └───n───> 'International family planning organizations perform or provide counseling .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# He also revoked President George W. Bush's restoration of President Ronald Reagan's Mexico City Policy prohibiting federal aid to international family planning organizations that perform or provide counseling about abortion. - -d55761c21b2e4a8b97f7efc63e78c73d 0 He also revoked George W. Bush 's restoration of Ronald Reagan 's Mexico City Policy prohibiting federal aid . - S:UNKNOWN_SUBORDINATION This was to international family planning organizations . - L:IDENTIFYING_DEFINITION aac355bc2afa4cd3807bd0ee44046765 - L:ELABORATION 61857260a1404f98ac5a6a83754b2f60 - -aac355bc2afa4cd3807bd0ee44046765 1 International family planning organizations perform or provide counseling . - S:UNKNOWN_SUBORDINATION This is about abortion . - -61857260a1404f98ac5a6a83754b2f60 1 George W. Bush was President . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 223/527 # - -'The first bill signed into law by Obama was the Lilly Ledbetter Fair Pay Act of 2009, relaxing the statute of limitations for equal-pay lawsuits.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/UNKNOWN_SUBORDINATION ('', ParticipialMiddleExtractor) - ├───n───> 'The first bill signed into law by Obama was the Lilly Ledbetter Fair Pay Act of 2009 .' - └───s───> 'The Lilly Ledbetter Fair Pay Act of 2009 was relaxing the statute of limitations for equal-pay lawsuits .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# The first bill signed into law by Obama was the Lilly Ledbetter Fair Pay Act of 2009, relaxing the statute of limitations for equal-pay lawsuits. - -39c8d94acbf44b93a9413fd77032013e 0 The first bill signed into law by Obama was the Lilly Ledbetter Fair Pay Act of 2009 . - L:UNKNOWN_SUBORDINATION cbbfc4506f0c48e8aad2c3137403d3da - -cbbfc4506f0c48e8aad2c3137403d3da 1 The Lilly Ledbetter Fair Pay Act of 2009 was relaxing the statute of limitations for equal-pay lawsuits . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 224/527 # - -'Five days later, he signed the reauthorization of the State Children's Health Insurance Program (SCHIP) to cover an additional 4 million uninsured children.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/PURPOSE (NULL, PurposePostExtractor) - ├───n───> 'Five days later , he signed the reauthorization of the State Children 's Health Insurance Program -LRB- SCHIP -RRB- .' - └───s───> 'This was to cover an additional 4 million uninsured children .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# Five days later, he signed the reauthorization of the State Children's Health Insurance Program (SCHIP) to cover an additional 4 million uninsured children. - -e76afc94101b447b91204d307749acb1 0 Five days later , he signed the reauthorization of the State Children 's Health Insurance Program -LRB- SCHIP -RRB- . - S:PURPOSE This was to cover an additional 4 million uninsured children . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 225/527 # - -'In March 2009, Obama reversed a Bush-era policy that had limited funding of embryonic stem cell research and pledged to develop strict guidelines on the research.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/IDENTIFYING_DEFINITION ('that', RestrictiveRelativeClauseWhoWhichExtractor) - ├────────n────────> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - | ├───s───> 'This was in March 2009 .' - | └───n───> 'Obama reversed a Bush-era policy .' - └───s───> CO/LIST ('and', SharedNPPostCoordinationExtractor) - ├────────n────────> 'A Bush-era policy had limited funding of embryonic stem cell research .' - └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - ├───s───> 'This was on the research .' - └───n───> 'A Bush-era policy pledged to develop strict guidelines .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# In March 2009, Obama reversed a Bush-era policy that had limited funding of embryonic stem cell research and pledged to develop strict guidelines on the research. - -aedce9cdd9974daba8b286ee475a716f 0 Obama reversed a Bush-era policy . - S:TEMPORAL This was in March 2009 . - L:IDENTIFYING_DEFINITION f63d23421aa54180aee3e9f66836ddb7 - L:IDENTIFYING_DEFINITION 1ac5b04cbe10483899087dab42152448 - -f63d23421aa54180aee3e9f66836ddb7 1 A Bush-era policy had limited funding of embryonic stem cell research . - L:LIST 1ac5b04cbe10483899087dab42152448 - -1ac5b04cbe10483899087dab42152448 1 A Bush-era policy pledged to develop strict guidelines . - S:UNKNOWN_SUBORDINATION This was on the research . - L:LIST f63d23421aa54180aee3e9f66836ddb7 - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 226/527 # - -'Obama appointed two women to serve on the Supreme Court in the first two years of his Presidency.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/PURPOSE (NULL, PurposePostExtractor) - ├───n───> 'Obama appointed two women .' - └───s───> 'This was to serve on the Supreme Court in the first two years of his Presidency .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# Obama appointed two women to serve on the Supreme Court in the first two years of his Presidency. - -7439cfd1a24948608f0df178c1efd67c 0 Obama appointed two women . - S:PURPOSE This was to serve on the Supreme Court in the first two years of his Presidency . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 227/527 # - -'He nominated Sonia Sotomayor on May 26, 2009 to replace retiring Associate Justice David Souter; she was confirmed on August 6, 2009, becoming the first Supreme Court Justice of Hispanic descent.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> CO/UNKNOWN_COORDINATION (';', CoordinationExtractor) - ├───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) - | ├────────s────────> 'David Souter was Associate Justice .' - | └───n───> SUB/PURPOSE (NULL, PurposePostExtractor) - | ├───n───> 'He nominated Sonia Sotomayor on May 26 , 2009 .' - | └───s───> 'This was to replace retiring David Souter .' - └────────n────────> CO/UNKNOWN_COORDINATION (NULL, SharedNPPostParticipalExtractor) - ├───n───> 'She was confirmed on August 6 , 2009 .' - └───n───> 'She was becoming the first Supreme Court Justice of Hispanic descent .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# He nominated Sonia Sotomayor on May 26, 2009 to replace retiring Associate Justice David Souter; she was confirmed on August 6, 2009, becoming the first Supreme Court Justice of Hispanic descent. - -07b3199f04134a0da34ae740cffc6f02 0 He nominated Sonia Sotomayor on May 26 , 2009 . - S:PURPOSE This was to replace retiring David Souter . - L:ELABORATION 70a3a884b83b4f44a147b0a47d051aea - -70a3a884b83b4f44a147b0a47d051aea 1 David Souter was Associate Justice . - -b303d15d0ca047239f52ce2c06bca228 0 She was confirmed on August 6 , 2009 . - -e9c9952c69f34bae8f9faf0368d488eb 0 She was becoming the first Supreme Court Justice of Hispanic descent . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 228/527 # - -'Obama nominated Elena Kagan on May 10, 2010 to replace retiring Associate Justice John Paul Stevens.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) - ├────────s────────> 'John Paul Stevens was Associate Justice .' - └───n───> SUB/PURPOSE (NULL, PurposePostExtractor) - ├───n───> 'Obama nominated Elena Kagan on May 10 , 2010 .' - └───s───> 'This was to replace retiring John Paul Stevens .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# Obama nominated Elena Kagan on May 10, 2010 to replace retiring Associate Justice John Paul Stevens. - -ddc3cf7eeafb4fb387489e9da5dc2148 0 Obama nominated Elena Kagan on May 10 , 2010 . - S:PURPOSE This was to replace retiring John Paul Stevens . - L:ELABORATION d1f186000383401493e5c392b821bca4 - -d1f186000383401493e5c392b821bca4 1 John Paul Stevens was Associate Justice . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 229/527 # - -'She was confirmed on August 5, 2010, bringing the number of women sitting simultaneously on the Court to three justices for the first time in American history.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> CO/UNKNOWN_COORDINATION (NULL, SharedNPPostParticipalExtractor) - ├─────────────n─────────────> 'She was confirmed on August 5 , 2010 .' - └───n───> SUB/IDENTIFYING_DEFINITION ('', RestrictiveParticipialExtractor) - ├────────n────────> 'She was bringing the number of women .' - └───s───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) - ├───s───> 'This was to three justices for the first time .' - └───n───> 'Women were sitting simultaneously on the Court in American history .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# She was confirmed on August 5, 2010, bringing the number of women sitting simultaneously on the Court to three justices for the first time in American history. - -1875eff1fa544ee5b6aa09041075677c 0 She was confirmed on August 5 , 2010 . - -129662b2b4054485922bc529d4b8fb3a 0 She was bringing the number of women . - L:IDENTIFYING_DEFINITION cbfbd464fc0c497e8b1ca62f7960138b - -cbfbd464fc0c497e8b1ca62f7960138b 1 Women were sitting simultaneously on the Court in American history . - S:TEMPORAL This was to three justices for the first time . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 230/527 # - -'On March 30, 2010, Obama signed the Health Care and Education Reconciliation Act, a reconciliation bill that ended the process of the federal government giving subsidies to private banks to give out federally insured loans, increased the Pell Grant scholarship award, and made changes to the Patient Protection and Affordable Care Act.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/ELABORATION (NULL, NonRestrictiveAppositionExtractor) - ├───s───> SUB/IDENTIFYING_DEFINITION ('that', RestrictiveRelativeClauseWhoWhichExtractor) - | ├──────────────────n──────────────────> 'The Health Care and Education Reconciliation Act were a reconciliation bill .' - | └───s───> SUB/IDENTIFYING_DEFINITION ('', RestrictiveParticipialExtractor) - | ├─────────────n─────────────> 'A reconciliation bill ended the process of the federal government .' - | └───s───> SUB/PURPOSE (NULL, PurposePostExtractor) - | ├───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - | | ├───s───> 'This was to private banks .' - | | └───n───> 'The federal government was giving subsidies .' - | └────────s────────> 'This was to give out federally insured loans .' - └────────n────────> SUB/UNKNOWN_SUBORDINATION ('', SubordinationPostExtractor) - ├────────n────────> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - | ├───s───> 'This was on March 30 , 2010 .' - | └───n───> 'Obama signed .' - └───s───> CO/LIST (', and', SharedNPPostCoordinationExtractor) - ├────────n────────> 'The Health Care and Education Reconciliation Act increased the Pell Grant scholarship award .' - └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - ├───s───> 'This was to the Patient Protection and Affordable Care Act .' - └───n───> 'The Health Care and Education Reconciliation Act made changes .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# On March 30, 2010, Obama signed the Health Care and Education Reconciliation Act, a reconciliation bill that ended the process of the federal government giving subsidies to private banks to give out federally insured loans, increased the Pell Grant scholarship award, and made changes to the Patient Protection and Affordable Care Act. - -0f0d4a0f5bd1449d965905465246c362 0 Obama signed . - S:TEMPORAL This was on March 30 , 2010 . - L:UNKNOWN_SUBORDINATION 5e4671046dce40f3a58ab2eaba3805fe - L:UNKNOWN_SUBORDINATION 181a381854d94cedb70fdb205e19a59c - L:ELABORATION 32a38777fb6f45b09a5d5b90f149140c - -5e4671046dce40f3a58ab2eaba3805fe 1 The Health Care and Education Reconciliation Act increased the Pell Grant scholarship award . - L:LIST 181a381854d94cedb70fdb205e19a59c - -181a381854d94cedb70fdb205e19a59c 1 The Health Care and Education Reconciliation Act made changes . - S:UNKNOWN_SUBORDINATION This was to the Patient Protection and Affordable Care Act . - L:LIST 5e4671046dce40f3a58ab2eaba3805fe - -32a38777fb6f45b09a5d5b90f149140c 1 The Health Care and Education Reconciliation Act were a reconciliation bill . - L:IDENTIFYING_DEFINITION 01377b01351c411bad1a82bc303b987c - -01377b01351c411bad1a82bc303b987c 2 A reconciliation bill ended the process of the federal government . - L:IDENTIFYING_DEFINITION 66592eed42fa47cd9d451d9310ff4722 - -66592eed42fa47cd9d451d9310ff4722 3 The federal government was giving subsidies . - S:UNKNOWN_SUBORDINATION This was to private banks . - S:PURPOSE This was to give out federally insured loans . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 231/527 # - -'In a major space policy speech in April 2010, Obama announced a planned change in direction at NASA, the U.S. space agency.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/ELABORATION (NULL, NonRestrictiveAppositionExtractor) - ├──────────────────s──────────────────> 'NASA was the U.S. space agency .' - └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - ├─────────────s─────────────> 'This was in direction .' - └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - ├────────s────────> 'This was at NASA .' - └───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - ├───s───> 'This was in a major space policy speech in April 2010 .' - └───n───> 'Obama announced a planned change .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# In a major space policy speech in April 2010, Obama announced a planned change in direction at NASA, the U.S. space agency. - -3b4a84c0fe5846578e23b37a50f05aed 0 Obama announced a planned change . - S:TEMPORAL This was in a major space policy speech in April 2010 . - S:UNKNOWN_SUBORDINATION This was at NASA . - S:UNKNOWN_SUBORDINATION This was in direction . - L:ELABORATION 6e12042c6a484791a48f849951726a37 - -6e12042c6a484791a48f849951726a37 1 NASA was the U.S. space agency . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 232/527 # - -'He ended plans for a return of human spaceflight to the moon and development of the Ares I rocket, Ares V rocket and Constellation program, in favor of funding Earth science projects, a new rocket type, and research and development for an eventual manned mission to Mars, and ongoing missions to the International Space Station.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - ├───────────────────────s───────────────────────> 'This was for a return of human spaceflight .' - └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - ├─────────────s─────────────> CO/LIST (NULL, PostListNPExtractor) - | ├───n───> 'This was to the moon and development of the Ares I rocket .' - | ├───n───> 'This was to the moon and development of Ares V rocket .' - | └───n───> 'This was to the moon and development of Constellation program .' - └───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) - ├─────────────s─────────────> 'This was to the International Space Station .' - └───n───> SUB/SPATIAL (NULL, PrepositionalMiddleFinalExtractor) - ├───s───> CO/LIST (NULL, PostListNPExtractor) - | ├───n───> 'This was in favor of funding Earth science projects .' - | ├───n───> 'This was in favor of a new rocket type .' - | └───n───> 'This was in favor of research and development for an eventual manned mission to Mars , and ongoing missions .' - └────────n────────> 'He ended plans .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# He ended plans for a return of human spaceflight to the moon and development of the Ares I rocket, Ares V rocket and Constellation program, in favor of funding Earth science projects, a new rocket type, and research and development for an eventual manned mission to Mars, and ongoing missions to the International Space Station. - -560a67cae923473ca2664aa0c3e4ae76 0 He ended plans . - S:SPATIAL This was to the International Space Station . - S:UNKNOWN_SUBORDINATION This was for a return of human spaceflight . - L:SPATIAL 4d8668f3e7174fb2b73f0031324a8dbf - L:SPATIAL 31e4ab22ec2d4f0392868e4c81d338cd - L:SPATIAL df99e82cb1254e039557956614f51061 - L:UNKNOWN_SUBORDINATION 7f159c58c25e4580807ba431a9fc88a2 - L:UNKNOWN_SUBORDINATION 1c5627d20f054c08b870b524b1d47cff - L:UNKNOWN_SUBORDINATION 063f40f3aea14fd29c718f42597e408a - -4d8668f3e7174fb2b73f0031324a8dbf 1 This was in favor of funding Earth science projects . - L:LIST 31e4ab22ec2d4f0392868e4c81d338cd - L:LIST df99e82cb1254e039557956614f51061 - -31e4ab22ec2d4f0392868e4c81d338cd 1 This was in favor of a new rocket type . - L:LIST df99e82cb1254e039557956614f51061 - L:LIST 4d8668f3e7174fb2b73f0031324a8dbf - -df99e82cb1254e039557956614f51061 1 This was in favor of research and development for an eventual manned mission to Mars , and ongoing missions . - L:LIST 4d8668f3e7174fb2b73f0031324a8dbf - L:LIST 31e4ab22ec2d4f0392868e4c81d338cd - -7f159c58c25e4580807ba431a9fc88a2 1 This was to the moon and development of the Ares I rocket . - L:LIST 1c5627d20f054c08b870b524b1d47cff - L:LIST 063f40f3aea14fd29c718f42597e408a - -1c5627d20f054c08b870b524b1d47cff 1 This was to the moon and development of Ares V rocket . - L:LIST 063f40f3aea14fd29c718f42597e408a - L:LIST 7f159c58c25e4580807ba431a9fc88a2 - -063f40f3aea14fd29c718f42597e408a 1 This was to the moon and development of Constellation program . - L:LIST 7f159c58c25e4580807ba431a9fc88a2 - L:LIST 1c5627d20f054c08b870b524b1d47cff - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 233/527 # - -'President Obama's 2011 State of the Union Address focused on themes of education and innovation, stressing the importance of innovation economics to make the United States more competitive globally.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) - ├─────────────s─────────────> 'Obama was President .' - └───n───> CO/UNKNOWN_COORDINATION (NULL, SharedNPPostParticipalExtractor) - ├────────n────────> 'Obama 's 2011 State of the Union Address focused on themes of education and innovation .' - └───n───> SUB/PURPOSE (NULL, PurposePostExtractor) - ├───n───> 'Obama 's 2011 State of the Union Address were stressing the importance of innovation economics .' - └───s───> 'This was to make the United States more competitive globally .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# President Obama's 2011 State of the Union Address focused on themes of education and innovation, stressing the importance of innovation economics to make the United States more competitive globally. - -8dc180dc21184742b6a0a6218bfe8d8f 0 Obama 's 2011 State of the Union Address focused on themes of education and innovation . - L:ELABORATION f7f4f6d8e2134259b04661db9fbbe5b3 - -800446f555414364a4578e690631aa9d 0 Obama 's 2011 State of the Union Address were stressing the importance of innovation economics . - S:PURPOSE This was to make the United States more competitive globally . - L:ELABORATION f7f4f6d8e2134259b04661db9fbbe5b3 - -f7f4f6d8e2134259b04661db9fbbe5b3 1 Obama was President . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 234/527 # - -'He spoke of a five-year freeze in domestic spending, eliminating tax breaks for oil companies and reversing tax cuts for the wealthiest Americans, banning congressional earmarks, and reducing healthcare costs.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> CO/UNKNOWN_COORDINATION (NULL, SharedNPPostParticipalExtractor) - ├────────n────────> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - | ├───s───> 'This was in domestic spending .' - | └───n───> 'He spoke of a five-year freeze .' - └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - ├────────s────────> 'This was for oil companies .' - └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - ├───s───> 'This was for the wealthiest Americans .' - └───n───> 'He was eliminating tax breaks and reversing tax cuts , banning congressional earmarks , and reducing healthcare costs .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# He spoke of a five-year freeze in domestic spending, eliminating tax breaks for oil companies and reversing tax cuts for the wealthiest Americans, banning congressional earmarks, and reducing healthcare costs. - -753e0f548e2d468f8f65e06bc41c4285 0 He spoke of a five-year freeze . - S:UNKNOWN_SUBORDINATION This was in domestic spending . - -7708235b6f95435285333f041b21723b 0 He was eliminating tax breaks and reversing tax cuts , banning congressional earmarks , and reducing healthcare costs . - S:UNKNOWN_SUBORDINATION This was for the wealthiest Americans . - S:UNKNOWN_SUBORDINATION This was for oil companies . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 235/527 # - -'He promised that the United States would have one million electric vehicles on the road by 2015 and would be 80% reliant on clean electricity.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> CO/LIST ('and', SharedNPPostCoordinationExtractor) - ├───n───> SUB/UNKNOWN_SUBORDINATION ('that', SubordinationPostExtractor) - | ├────────n────────> 'He promised .' - | └───s───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) - | ├───s───> 'This is by 2015 .' - | └───n───> 'The United States would have one million electric vehicles on the road .' - └─────────────n─────────────> 'He would be 80 % reliant on clean electricity .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# He promised that the United States would have one million electric vehicles on the road by 2015 and would be 80% reliant on clean electricity. - -f1b88f12a6aa47968a2b65cb357d81e8 0 He promised . - L:UNKNOWN_SUBORDINATION 92284c40f8e0400a8e513ee2e8772ce4 - L:LIST 787f3a23e0fd420280488444a6ca24cd - -92284c40f8e0400a8e513ee2e8772ce4 1 The United States would have one million electric vehicles on the road . - S:TEMPORAL This is by 2015 . - -787f3a23e0fd420280488444a6ca24cd 0 He would be 80 % reliant on clean electricity . - L:LIST f1b88f12a6aa47968a2b65cb357d81e8 - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 236/527 # - -'On October 8, 2009, Obama signed the Matthew Shepard and James Byrd Jr.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - ├────────s────────> 'This was on October 8 , 2009 .' - └───n───> CO/LIST (NULL, PostListNPExtractor) - ├───n───> 'Obama signed the Matthew Shepard .' - └───n───> 'Obama signed James Byrd Jr. .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# On October 8, 2009, Obama signed the Matthew Shepard and James Byrd Jr. - -052a9ead07c24830b7bc405c7dc357be 0 Obama signed the Matthew Shepard . - S:TEMPORAL This was on October 8 , 2009 . - L:LIST 81d7d90107824aca8e088594018f2a6d - -81d7d90107824aca8e088594018f2a6d 0 Obama signed James Byrd Jr. . - S:TEMPORAL This was on October 8 , 2009 . - L:LIST 052a9ead07c24830b7bc405c7dc357be - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 237/527 # - -'Hate Crimes Prevention Act, a measure that expanded the 1969 United States federal hate-crime law to include crimes motivated by a victim's actual or perceived gender, sexual orientation, gender identity, or disability.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> 'Hate Crimes Prevention Act , a measure that expanded the 1969 United States federal hate-crime law to include crimes motivated by a victim 's actual or perceived gender , sexual orientation , gender identity , or disability .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# Hate Crimes Prevention Act, a measure that expanded the 1969 United States federal hate-crime law to include crimes motivated by a victim's actual or perceived gender, sexual orientation, gender identity, or disability. - -fc41379956204237885380a16f8b8617 0 Hate Crimes Prevention Act , a measure that expanded the 1969 United States federal hate-crime law to include crimes motivated by a victim 's actual or perceived gender , sexual orientation , gender identity , or disability . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 238/527 # - -'On October 30, 2009, Obama lifted the ban on travel to the United States by those infected with HIV, which was celebrated by Immigration Equality.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/DESCRIBING_DEFINITION ('which', NonRestrictiveRelativeClauseWhoWhichExtractor) - ├───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - | ├──────────────────s──────────────────> 'This was on travel .' - | └───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) - | ├─────────────s─────────────> 'This was to the United States .' - | └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - | ├───s───> SUB/IDENTIFYING_DEFINITION ('', RestrictiveParticipialExtractor) - | | ├───n───> 'This was by those .' - | | └───s───> 'Those was infected with HIV .' - | └───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - | ├───s───> 'This was on October 30 , 2009 .' - | └───n───> 'Obama lifted the ban .' - └───────────────────────s───────────────────────> 'HIV was celebrated by Immigration Equality .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# On October 30, 2009, Obama lifted the ban on travel to the United States by those infected with HIV, which was celebrated by Immigration Equality. - -99d08bdc85fa484b8904ffe234bef20d 0 Obama lifted the ban . - S:TEMPORAL This was on October 30 , 2009 . - S:SPATIAL This was to the United States . - S:UNKNOWN_SUBORDINATION This was on travel . - L:UNKNOWN_SUBORDINATION 6f6767e93efa4655b249237489caa0a7 - L:DESCRIBING_DEFINITION d8a3b90758374d9f9b4b838199ec9a50 - -6f6767e93efa4655b249237489caa0a7 1 This was by those . - L:IDENTIFYING_DEFINITION 0711aac5443e4d8587a051ae3c580c86 - -0711aac5443e4d8587a051ae3c580c86 2 Those was infected with HIV . - -d8a3b90758374d9f9b4b838199ec9a50 1 HIV was celebrated by Immigration Equality . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 239/527 # - -'On December 22, 2010, Obama signed the Don't Ask, Don't Tell Repeal Act of 2010, which fulfilled a key promise made in the 2008 presidential campaign to end the Don't ask, don't tell policy of 1993 that had prevented gay and lesbian people from serving openly in the United States Armed Forces.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> 'On December 22 , 2010 , Obama signed the Do n't Ask , Do n't Tell Repeal Act of 2010 , which fulfilled a key promise made in the 2008 presidential campaign to end the Do n't ask , do n't tell policy of 1993 that had prevented gay and lesbian people from serving openly in the United States Armed Forces .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# On December 22, 2010, Obama signed the Don't Ask, Don't Tell Repeal Act of 2010, which fulfilled a key promise made in the 2008 presidential campaign to end the Don't ask, don't tell policy of 1993 that had prevented gay and lesbian people from serving openly in the United States Armed Forces. - -fe8dd6d57f3943138b99de8a6a1724ee 0 On December 22 , 2010 , Obama signed the Do n't Ask , Do n't Tell Repeal Act of 2010 , which fulfilled a key promise made in the 2008 presidential campaign to end the Do n't ask , do n't tell policy of 1993 that had prevented gay and lesbian people from serving openly in the United States Armed Forces . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 240/527 # - -'In 2016, the Pentagon ended the policy that also barred transgender people from serving openly in the military.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/IDENTIFYING_DEFINITION ('that', RestrictiveRelativeClauseWhoWhichExtractor) - ├───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - | ├───s───> 'This was in 2016 .' - | └───n───> 'The Pentagon ended the policy .' - └───s───> CO/UNKNOWN_COORDINATION (NULL, SharedNPPostParticipalExtractor) - ├───n───> 'The policy also barred transgender people .' - └───n───> 'The policy also was serving openly in the military .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# In 2016, the Pentagon ended the policy that also barred transgender people from serving openly in the military. - -c4bf56177972409d816f7a355c8772f8 0 The Pentagon ended the policy . - S:TEMPORAL This was in 2016 . - L:IDENTIFYING_DEFINITION d368ed335b5e4073aa3c73704db5a232 - L:IDENTIFYING_DEFINITION d694130fa6ed417cafe894ea17df4bc9 - -d368ed335b5e4073aa3c73704db5a232 1 The policy also barred transgender people . - -d694130fa6ed417cafe894ea17df4bc9 1 The policy also was serving openly in the military . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 241/527 # - -'As a candidate for the Illinois state senate in 1996, Obama had said that he favored legalizing same-sex marriage.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/ATTRIBUTION (NULL, SubordinationPostAttributionExtractor2) - ├───s───> 'This was what Obama had said as a candidate for the Illinois state senate in 1996 .' - └───n───> 'He favored legalizing same-sex marriage .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# As a candidate for the Illinois state senate in 1996, Obama had said that he favored legalizing same-sex marriage. - -f028e625fbac49caa678b8da6aab23a2 0 He favored legalizing same-sex marriage . - S:ATTRIBUTION This was what Obama had said as a candidate for the Illinois state senate in 1996 . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 242/527 # - -'By the time of his Senate run in 2004, he said that he supported civil unions and domestic partnerships for same-sex partners, but he opposed same-sex marriages for strategic reasons.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> CO/CONTRAST (', but', CoordinationExtractor) - ├───n───> SUB/ATTRIBUTION (NULL, SubordinationPostAttributionExtractor2) - | ├─────────────s─────────────> 'This was what he said by the time of his Senate run in 2004 .' - | └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - | ├────────s────────> 'This was for same-sex partners .' - | └───n───> CO/LIST (NULL, PostListNPExtractor) - | ├───n───> 'He supported civil unions .' - | └───n───> 'He supported domestic partnerships .' - └─────────────n─────────────> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - ├───s───> 'This was for strategic reasons .' - └───n───> 'He opposed same-sex marriages .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# By the time of his Senate run in 2004, he said that he supported civil unions and domestic partnerships for same-sex partners, but he opposed same-sex marriages for strategic reasons. - -3252db5527504812ba1c83d0e9297e41 0 He supported civil unions . - S:UNKNOWN_SUBORDINATION This was for same-sex partners . - S:ATTRIBUTION This was what he said by the time of his Senate run in 2004 . - L:LIST 06163110c2194a889ffda1a27b9e9374 - L:CONTRAST 7ed61be487194b43ad6bac18d4ea0d53 - -06163110c2194a889ffda1a27b9e9374 0 He supported domestic partnerships . - S:UNKNOWN_SUBORDINATION This was for same-sex partners . - S:ATTRIBUTION This was what he said by the time of his Senate run in 2004 . - L:LIST 3252db5527504812ba1c83d0e9297e41 - L:CONTRAST 7ed61be487194b43ad6bac18d4ea0d53 - -7ed61be487194b43ad6bac18d4ea0d53 0 He opposed same-sex marriages . - S:UNKNOWN_SUBORDINATION This was for strategic reasons . - L:CONTRAST 3252db5527504812ba1c83d0e9297e41 - L:CONTRAST 06163110c2194a889ffda1a27b9e9374 - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 243/527 # - -'On May 9, 2012, shortly after the official launch of his campaign for re-election as president, Obama said his views had evolved, and he publicly affirmed his personal support for the legalization of same-sex marriage, becoming the first sitting U.S. president to do so.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> CO/LIST (', and', CoordinationExtractor) - ├─────────────n─────────────> SUB/ATTRIBUTION (NULL, SubordinationPostAttributionExtractor) - | ├───s───> 'This was what Obama said on May 9 , 2012 .' - | └───n───> 'His views had evolved .' - └───n───> CO/UNKNOWN_COORDINATION (NULL, SharedNPPostParticipalExtractor) - ├───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - | ├────────s────────> 'This was for the legalization of same-sex marriage .' - | └───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - | ├───s───> 'This was on May 9 , 2012 .' - | └───n───> 'He publicly affirmed his personal support .' - └───n───> SUB/PURPOSE (NULL, PurposePostExtractor) - ├───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - | ├───s───> 'This was on May 9 , 2012 .' - | └───n───> 'He publicly was becoming the first sitting U.S. president .' - └────────s────────> 'This was to do so .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# On May 9, 2012, shortly after the official launch of his campaign for re-election as president, Obama said his views had evolved, and he publicly affirmed his personal support for the legalization of same-sex marriage, becoming the first sitting U.S. president to do so. - -8700cf77e9094617bb1c2daa7d39de7f 0 His views had evolved . - S:ATTRIBUTION This was what Obama said on May 9 , 2012 . - L:LIST d69ebb81b5d845f297da7f9c1f88f4db - L:LIST de24a820f1124b86852419838894ab63 - -d69ebb81b5d845f297da7f9c1f88f4db 0 He publicly affirmed his personal support . - S:TEMPORAL This was on May 9 , 2012 . - S:UNKNOWN_SUBORDINATION This was for the legalization of same-sex marriage . - L:LIST 8700cf77e9094617bb1c2daa7d39de7f - -de24a820f1124b86852419838894ab63 0 He publicly was becoming the first sitting U.S. president . - S:TEMPORAL This was on May 9 , 2012 . - S:PURPOSE This was to do so . - L:LIST 8700cf77e9094617bb1c2daa7d39de7f - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 244/527 # - -'The White House was illuminated in rainbow colors on the evening of the Supreme Court same-sex marriage ruling, June 26, 2015.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) - ├───s───> 'This was on the evening of the Supreme Court same-sex marriage ruling , June 26 , 2015 .' - └───n───> 'The White House was illuminated in rainbow colors .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# The White House was illuminated in rainbow colors on the evening of the Supreme Court same-sex marriage ruling, June 26, 2015. - -463f0bc59c264fe0a19da0780ad9e9b5 0 The White House was illuminated in rainbow colors . - S:TEMPORAL This was on the evening of the Supreme Court same-sex marriage ruling , June 26 , 2015 . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 245/527 # - -'During his second inaugural address on January 21, 2013, Obama became the first U.S. President in office to call for full equality for gay Americans: Our journey is not complete until our gay brothers and sisters are treated like anyone else under the law – for if we are truly created equal, then surely the love we commit to one another must be equal as well.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> CO/UNKNOWN_COORDINATION (NULL, CoordinationExtractor) - ├───n───> SUB/PURPOSE (NULL, PurposePostExtractor) - | ├───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - | | ├────────s────────> 'This was in office .' - | | └───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - | | ├───s───> 'This was during his second inaugural address on January 21 , 2013 .' - | | └───n───> 'Obama became the first U.S. President .' - | └─────────────s─────────────> 'This was to call for full equality for gay Americans .' - ├───n───> SUB/CONDITION ('until', SubordinationPostExtractor) - | ├─────────────n─────────────> 'Our journey is not complete .' - | └───s───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - | ├────────s────────> 'This was under the law .' - | └───n───> CO/LIST (NULL, PreListNPExtractor) - | ├───n───> 'Our gay brothers are treated like anyone else .' - | └───n───> 'Sisters are treated like anyone else .' - └────────n────────> SUB/UNKNOWN_SUBORDINATION ('For', SubordinationPreExtractor) - ├───s───> SUB/CONDITION ('If', SubordinationPreExtractor) - | ├───s───> 'We are truly created equal .' - | └───n───> 'Then surely the love we commit to one .' - └────────n────────> 'Another must be equal as well .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# During his second inaugural address on January 21, 2013, Obama became the first U.S. President in office to call for full equality for gay Americans: Our journey is not complete until our gay brothers and sisters are treated like anyone else under the law – for if we are truly created equal, then surely the love we commit to one another must be equal as well. - -62c2c8462eb74837b36b430eff9efa4a 0 Obama became the first U.S. President . - S:TEMPORAL This was during his second inaugural address on January 21 , 2013 . - S:UNKNOWN_SUBORDINATION This was in office . - S:PURPOSE This was to call for full equality for gay Americans . - -22abbc1914604450835a2169661e74c7 0 Our journey is not complete . - L:CONDITION 16759d8f22614278be1d5aebd028c81d - L:CONDITION 43f23b50dfdf49b29cd7318ba590a840 - -16759d8f22614278be1d5aebd028c81d 1 Our gay brothers are treated like anyone else . - S:UNKNOWN_SUBORDINATION This was under the law . - L:LIST 43f23b50dfdf49b29cd7318ba590a840 - -43f23b50dfdf49b29cd7318ba590a840 1 Sisters are treated like anyone else . - S:UNKNOWN_SUBORDINATION This was under the law . - L:LIST 16759d8f22614278be1d5aebd028c81d - -612ca503712c4fe9823f0b7c90935129 0 Another must be equal as well . - L:UNKNOWN_SUBORDINATION 3e1949a005ba4ea3af5c4291f6762f80 - -3e1949a005ba4ea3af5c4291f6762f80 1 Then surely the love we commit to one . - L:CONDITION e1fffaed4f684ff685dbd15d7a2e9869 - -e1fffaed4f684ff685dbd15d7a2e9869 2 We are truly created equal . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 246/527 # - -'This was the first time that a president mentioned gay rights or the word gay in an inaugural address.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/UNKNOWN_SUBORDINATION ('that', SubordinationPostExtractor) - ├─────────────n─────────────> 'This was the first time .' - └───s───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - ├────────s────────> 'This was in an inaugural address .' - └───n───> CO/DISJUNCTION (NULL, PostListNPExtractor) - ├───n───> 'A president mentioned gay rights .' - └───n───> 'A president mentioned the word gay .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# This was the first time that a president mentioned gay rights or the word gay in an inaugural address. - -554c1c3069094ee8aded177900fdd090 0 This was the first time . - L:UNKNOWN_SUBORDINATION 67fa0ab1e7594aa385f00d2fafcf3c13 - L:UNKNOWN_SUBORDINATION 22f3ad62177444a883f81e6e3445f38d - -67fa0ab1e7594aa385f00d2fafcf3c13 1 A president mentioned gay rights . - S:UNKNOWN_SUBORDINATION This was in an inaugural address . - L:DISJUNCTION 22f3ad62177444a883f81e6e3445f38d - -22f3ad62177444a883f81e6e3445f38d 1 A president mentioned the word gay . - S:UNKNOWN_SUBORDINATION This was in an inaugural address . - L:DISJUNCTION 67fa0ab1e7594aa385f00d2fafcf3c13 - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 247/527 # - -'In 2013, the Obama Administration filed briefs that urged the Supreme Court to rule in favor of same-sex couples in the cases of Hollingsworth v. Perry (regarding same-sex marriage) and United States v. Windsor (regarding the Defense of Marriage Act).' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/IDENTIFYING_DEFINITION ('that', RestrictiveRelativeClauseWhoWhichExtractor) - ├───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - | ├───s───> 'This was in 2013 .' - | └───n───> 'The Obama Administration filed briefs .' - └───s───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) - ├───s───> 'This was in the cases of Hollingsworth v. Perry -LRB- regarding same-sex marriage -RRB- and United States v. Windsor -LRB- regarding the Defense of Marriage Act -RRB- .' - └───n───> 'Briefs urged the Supreme Court to rule in favor of same-sex couples .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# In 2013, the Obama Administration filed briefs that urged the Supreme Court to rule in favor of same-sex couples in the cases of Hollingsworth v. Perry (regarding same-sex marriage) and United States v. Windsor (regarding the Defense of Marriage Act). - -9e5648ac4a934dc5aeff0f1b5e3f4162 0 The Obama Administration filed briefs . - S:TEMPORAL This was in 2013 . - L:IDENTIFYING_DEFINITION 9c35ff6d4aa5405ba966115eed9b6fa4 - -9c35ff6d4aa5405ba966115eed9b6fa4 1 Briefs urged the Supreme Court to rule in favor of same-sex couples . - S:SPATIAL This was in the cases of Hollingsworth v. Perry -LRB- regarding same-sex marriage -RRB- and United States v. Windsor -LRB- regarding the Defense of Marriage Act -RRB- . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 248/527 # - -'Then, following the Supreme Court's 2015 decision in Obergefell v. Hodges (ruling same-sex marriage to be a fundamental right), Obama asserted that, This decision affirms what millions of Americans already believe in their hearts: When all Americans are treated as equal we are all more free.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> CO/UNKNOWN_COORDINATION (':', CoordinationExtractor) - ├───n───> SUB/ATTRIBUTION (NULL, SubordinationPostAttributionExtractor2) - | ├────────s────────> 'This was what Obama asserted following the Supreme Court 's 2015 decision in Obergefell v. Hodges -LRB- ruling same-sex marriage to be a fundamental right -RRB- .' - | └───n───> SUB/ATTRIBUTION (NULL, SubordinationPostAttributionExtractor) - | ├───s───> 'This is what this decision affirms .' - | └───n───> 'What millions of Americans already believe in their hearts .' - └────────n────────> SUB/BACKGROUND ('When', SubordinationPreExtractor) - ├───s───> 'All Americans are treated as equal .' - └───n───> 'We are all more free .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# Then, following the Supreme Court's 2015 decision in Obergefell v. Hodges (ruling same-sex marriage to be a fundamental right), Obama asserted that, This decision affirms what millions of Americans already believe in their hearts: When all Americans are treated as equal we are all more free. - -fb38bf1c04d0460492f92b39d145b972 0 What millions of Americans already believe in their hearts . - S:ATTRIBUTION This is what this decision affirms . - S:ATTRIBUTION This was what Obama asserted following the Supreme Court 's 2015 decision in Obergefell v. Hodges -LRB- ruling same-sex marriage to be a fundamental right -RRB- . - -1666572db0d14aa7975ecec834ed2d24 0 We are all more free . - L:BACKGROUND 3f322369826b4e9aa25ece8a60296ddc - -3f322369826b4e9aa25ece8a60296ddc 1 All Americans are treated as equal . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 249/527 # - -'On July 30, 2015, the White House Office of National AIDS Policy revised its strategy for addressing the disease, which included widespread testing and linkage to healthcare, which was celebrated by the Human Rights Campaign.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/DESCRIBING_DEFINITION ('which', NonRestrictiveRelativeClauseWhoWhichExtractor) - ├───n───> CO/UNKNOWN_COORDINATION (NULL, SharedNPPostParticipalExtractor) - | ├───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - | | ├───s───> 'This was on July 30 , 2015 .' - | | └───n───> 'The White House Office of National AIDS Policy revised its strategy .' - | └───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - | ├───s───> 'This was on July 30 , 2015 .' - | └───n───> 'The White House Office of National AIDS Policy was addressing the disease .' - └───s───> SUB/DESCRIBING_DEFINITION ('which', NonRestrictiveRelativeClauseWhoWhichExtractor) - ├───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - | ├───s───> 'This was to healthcare .' - | └───n───> 'The disease included widespread testing and linkage .' - └────────s────────> 'Healthcare was celebrated by the Human Rights Campaign .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# On July 30, 2015, the White House Office of National AIDS Policy revised its strategy for addressing the disease, which included widespread testing and linkage to healthcare, which was celebrated by the Human Rights Campaign. - -f8206cf760f247c9a74f2f0ba9aefa7a 0 The White House Office of National AIDS Policy revised its strategy . - S:TEMPORAL This was on July 30 , 2015 . - L:DESCRIBING_DEFINITION 890861d44228424b90c03cd8edf94b71 - -3dd6deaf942f46dfa1653e3376e83ef1 0 The White House Office of National AIDS Policy was addressing the disease . - S:TEMPORAL This was on July 30 , 2015 . - L:DESCRIBING_DEFINITION 890861d44228424b90c03cd8edf94b71 - -890861d44228424b90c03cd8edf94b71 1 The disease included widespread testing and linkage . - S:UNKNOWN_SUBORDINATION This was to healthcare . - L:DESCRIBING_DEFINITION 1c3e12f1d9c84377a5a385d1dd9b7853 - -1c3e12f1d9c84377a5a385d1dd9b7853 2 Healthcare was celebrated by the Human Rights Campaign . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 250/527 # - -'On March 11, 2009, Obama created the White House Council on Women and Girls, which formed part of the Office of Intergovernmental Affairs, having been established by Executive Order 13506 with a broad mandate to advise him on issues relating to the welfare of American women and girls.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/DESCRIBING_DEFINITION ('which', NonRestrictiveRelativeClauseWhoWhichExtractor) - ├─────────────n─────────────> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - | ├───s───> 'This was on March 11 , 2009 .' - | └───n───> 'Obama created the White House Council on Women and Girls .' - └───s───> CO/UNKNOWN_COORDINATION (NULL, SharedNPPostParticipalExtractor) - ├─────────────n─────────────> 'The White House Council on Women and Girls formed part of the Office of Intergovernmental Affairs .' - └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - ├───s───> SUB/IDENTIFYING_DEFINITION ('', RestrictiveParticipialExtractor) - | ├───n───> 'This was on issues .' - | └───s───> 'Issues were relating to the welfare of American women and girls .' - └────────n────────> 'The White House Council on Women and Girls were having been established by Executive Order 13506 with a broad mandate to advise him .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# On March 11, 2009, Obama created the White House Council on Women and Girls, which formed part of the Office of Intergovernmental Affairs, having been established by Executive Order 13506 with a broad mandate to advise him on issues relating to the welfare of American women and girls. - -9d66237ee824401295bdcc7f16777107 0 Obama created the White House Council on Women and Girls . - S:TEMPORAL This was on March 11 , 2009 . - L:DESCRIBING_DEFINITION 84bfb564c89c4c89ab26e1783888aa7f - L:DESCRIBING_DEFINITION a6b415434da34fe2b8ba25faefc0651a - -84bfb564c89c4c89ab26e1783888aa7f 1 The White House Council on Women and Girls formed part of the Office of Intergovernmental Affairs . - -a6b415434da34fe2b8ba25faefc0651a 1 The White House Council on Women and Girls were having been established by Executive Order 13506 with a broad mandate to advise him . - L:UNKNOWN_SUBORDINATION a54f4214a90e4e5eb4c35d44bae8d58c - -a54f4214a90e4e5eb4c35d44bae8d58c 2 This was on issues . - L:IDENTIFYING_DEFINITION 1af6e0b593824a729a08416d45a8ecb2 - -1af6e0b593824a729a08416d45a8ecb2 3 Issues were relating to the welfare of American women and girls . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 251/527 # - -'The Council was chaired by Senior Advisor to the President Valerie Jarrett.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) - ├────────s────────> 'Valerie Jarrett was the President .' - └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - ├───s───> 'This was to Valerie Jarrett .' - └───n───> 'The Council was chaired by Senior Advisor .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# The Council was chaired by Senior Advisor to the President Valerie Jarrett. - -4439a11150bb4735bcae36e1336b3d66 0 The Council was chaired by Senior Advisor . - S:UNKNOWN_SUBORDINATION This was to Valerie Jarrett . - L:ELABORATION 49a0194aa6a54b7bbba4c6ab77a10712 - -49a0194aa6a54b7bbba4c6ab77a10712 1 Valerie Jarrett was the President . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 252/527 # - -'Obama also established the White House Task Force to Protect Students from Sexual Assault through a government memorandum on January 22, 2014, with a broad mandate to advise him on issues relating to sexual assault on college and university campuses throughout the United States.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - ├───────────────────────s───────────────────────> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - | ├───s───> 'This was from Sexual Assault .' - | └───n───> 'This was to Protect Students .' - └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - ├───────────────────────s───────────────────────> 'This was through a government memorandum .' - └───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) - ├──────────────────s──────────────────> 'This was on January 22 , 2014 .' - └───n───> SUB/IDENTIFYING_DEFINITION ('', RestrictiveParticipialExtractor) - ├───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalMiddleFinalExtractor) - | ├───s───> SUB/PURPOSE (NULL, PurposePostExtractor) - | | ├───n───> 'This was with a broad mandate .' - | | └───s───> 'This was to advise him on issues .' - | └────────n────────> 'Obama also established the White House Task Force .' - └────────s────────> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) - ├───s───> 'This was throughout the United States .' - └───n───> 'Issues were relating to sexual assault on college and university campuses .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# Obama also established the White House Task Force to Protect Students from Sexual Assault through a government memorandum on January 22, 2014, with a broad mandate to advise him on issues relating to sexual assault on college and university campuses throughout the United States. - -420164386b474d04ad889458e5813c30 0 Obama also established the White House Task Force . - S:TEMPORAL This was on January 22 , 2014 . - S:UNKNOWN_SUBORDINATION This was through a government memorandum . - L:UNKNOWN_SUBORDINATION c308b550650b4164a6dd3f833cafb7e1 - L:IDENTIFYING_DEFINITION ac33688809224a3dad25a71e7527f940 - L:UNKNOWN_SUBORDINATION e8d62583371248f79d8f4b4d4afca350 - -c308b550650b4164a6dd3f833cafb7e1 1 This was with a broad mandate . - S:PURPOSE This was to advise him on issues . - -ac33688809224a3dad25a71e7527f940 1 Issues were relating to sexual assault on college and university campuses . - S:SPATIAL This was throughout the United States . - -e8d62583371248f79d8f4b4d4afca350 1 This was to Protect Students . - S:UNKNOWN_SUBORDINATION This was from Sexual Assault . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 253/527 # - -'The co-chairs of the Task Force were Vice President Joe Biden and Jarrett.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) - ├────────s────────> 'Joe Biden was Vice President .' - └───n───> CO/LIST (NULL, PostListNPExtractor) - ├───n───> 'The co-chairs of the Task Force were Joe Biden .' - └───n───> 'The co-chairs of the Task Force were Jarrett .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# The co-chairs of the Task Force were Vice President Joe Biden and Jarrett. - -a46e70c308294273a831a5aacbc3bb09 0 The co-chairs of the Task Force were Joe Biden . - L:LIST 1c57a1f585d94c1e90f34e506938da8d - L:ELABORATION 9ff5681e90044753932a2d90bc4ff7e4 - -1c57a1f585d94c1e90f34e506938da8d 0 The co-chairs of the Task Force were Jarrett . - L:LIST a46e70c308294273a831a5aacbc3bb09 - L:ELABORATION 9ff5681e90044753932a2d90bc4ff7e4 - -9ff5681e90044753932a2d90bc4ff7e4 1 Joe Biden was Vice President . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 254/527 # - -'The Task Force was a development out of the White House Council on Women and Girls and Office of the Vice President of the United States, and prior to that, the 1994 Violence Against Women Act that was first drafted by Biden.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/ELABORATION (NULL, NonRestrictiveAppositionExtractor) - ├────────s────────> 'That was the 1994 Violence .' - └───n───> CO/LIST (NULL, PostListNPExtractor) - ├───n───> 'The Task Force was a development out of the White House Council on Women and Girls , and prior to that Against Women Act that was first drafted by Biden .' - └───n───> 'The Task Force was a development out of Office of the Vice President of the United States , and prior to that Against Women Act that was first drafted by Biden .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# The Task Force was a development out of the White House Council on Women and Girls and Office of the Vice President of the United States, and prior to that, the 1994 Violence Against Women Act that was first drafted by Biden. - -efc31020355a4edda25c0699c4190e46 0 The Task Force was a development out of the White House Council on Women and Girls , and prior to that Against Women Act that was first drafted by Biden . - L:LIST 1f504ada4892493c935e5378dfd8a960 - L:ELABORATION 9aee3c4d86be45b7944838e98b8c159a - -1f504ada4892493c935e5378dfd8a960 0 The Task Force was a development out of Office of the Vice President of the United States , and prior to that Against Women Act that was first drafted by Biden . - L:LIST efc31020355a4edda25c0699c4190e46 - L:ELABORATION 9aee3c4d86be45b7944838e98b8c159a - -9aee3c4d86be45b7944838e98b8c159a 1 That was the 1994 Violence . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 255/527 # - -'Obama presents his first weekly address as President of the United States on January 24, 2009, discussing the American Recovery and Reinvestment Act of 2009' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> CO/UNKNOWN_COORDINATION (NULL, SharedNPPostParticipalExtractor) - ├───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) - | ├────────s────────> 'This is as President of the United States .' - | └───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) - | ├───s───> 'This is on January 24 , 2009 .' - | └───n───> 'Obama presents his first weekly address .' - └─────────────n─────────────> 'Obama is discussing the American Recovery and Reinvestment Act of 2009 .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# Obama presents his first weekly address as President of the United States on January 24, 2009, discussing the American Recovery and Reinvestment Act of 2009 - -d67469a1dcb740db8131b60cf0062793 0 Obama presents his first weekly address . - S:TEMPORAL This is on January 24 , 2009 . - S:SPATIAL This is as President of the United States . - -b85e5ebb4ade494c9de0c90e09a90619 0 Obama is discussing the American Recovery and Reinvestment Act of 2009 . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 256/527 # - -'On February 17, 2009, Obama signed the American Recovery and Reinvestment Act of 2009, a $787 billion economic stimulus package aimed at helping the economy recover from the deepening worldwide recession.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/ELABORATION (NULL, NonRestrictiveAppositionExtractor) - ├───s───> SUB/IDENTIFYING_DEFINITION ('', RestrictiveParticipialExtractor) - | ├────────n────────> '2009 was a $ 787 billion economic stimulus package .' - | └───s───> SUB/IDENTIFYING_DEFINITION ('', RestrictiveRelativeClauseWithoutRelativePronounExtractor) - | ├───n───> 'A $ 787 billion economic stimulus package recover from the deepening worldwide recession .' - | └───s───> 'Was aimed at helping the economy A $ 787 billion economic stimulus package .' - └────────n────────> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - ├───s───> 'This was on February 17 , 2009 .' - └───n───> 'Obama signed the American Recovery and Reinvestment Act of 2009 .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# On February 17, 2009, Obama signed the American Recovery and Reinvestment Act of 2009, a $787 billion economic stimulus package aimed at helping the economy recover from the deepening worldwide recession. - -faba1dfc746d4f7bbf335a098f5536cd 0 Obama signed the American Recovery and Reinvestment Act of 2009 . - S:TEMPORAL This was on February 17 , 2009 . - L:ELABORATION 4ff13108cb3343a8be9ee72f534bcc58 - -4ff13108cb3343a8be9ee72f534bcc58 1 2009 was a $ 787 billion economic stimulus package . - L:IDENTIFYING_DEFINITION ab63869584624f4e818e3f4bf3338f0b - -ab63869584624f4e818e3f4bf3338f0b 2 A $ 787 billion economic stimulus package recover from the deepening worldwide recession . - L:IDENTIFYING_DEFINITION ff8a13f3917a4e2d855db41a9000b65a - -ff8a13f3917a4e2d855db41a9000b65a 3 Was aimed at helping the economy A $ 787 billion economic stimulus package . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 257/527 # - -'The act includes increased federal spending for health care, infrastructure, education, various tax breaks and incentives, and direct assistance to individuals.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> 'The act includes increased federal spending for health care , infrastructure , education , various tax breaks and incentives , and direct assistance to individuals .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# The act includes increased federal spending for health care, infrastructure, education, various tax breaks and incentives, and direct assistance to individuals. - -371b07e3ba284f8492ec99130c1bfacf 0 The act includes increased federal spending for health care , infrastructure , education , various tax breaks and incentives , and direct assistance to individuals . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 258/527 # - -'In March, Obama's Treasury Secretary, Timothy Geithner, took further steps to manage the financial crisis, including introducing the Public–Private Investment Program for Legacy Assets, which contains provisions for buying up to two trillion dollars in depreciated real estate assets.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/DESCRIBING_DEFINITION ('which', NonRestrictiveRelativeClauseWhoWhichExtractor) - ├───n───> SUB/ELABORATION (NULL, NonRestrictiveAppositionExtractor) - | ├─────────────s─────────────> 'Obama 's Treasury Secretary was Timothy Geithner .' - | └───n───> SUB/PURPOSE (NULL, PurposePostExtractor) - | ├───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalInitialExtractor) - | | ├───s───> 'This was in March .' - | | └───n───> 'Obama 's Treasury Secretary took further steps .' - | └────────s────────> 'This was to manage the financial crisis , including introducing the Public -- Private Investment Program for Legacy Assets .' - └────────s────────> CO/UNKNOWN_COORDINATION (NULL, SharedNPPostParticipalExtractor) - ├────────n────────> 'Legacy Assets contains provisions .' - └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - ├───s───> 'This is in depreciated real estate assets .' - └───n───> 'Legacy Assets are buying up to two trillion dollars .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# In March, Obama's Treasury Secretary, Timothy Geithner, took further steps to manage the financial crisis, including introducing the Public–Private Investment Program for Legacy Assets, which contains provisions for buying up to two trillion dollars in depreciated real estate assets. - -6403839bb0714e5ab9c480628a1f3752 0 Obama 's Treasury Secretary took further steps . - S:UNKNOWN_SUBORDINATION This was in March . - S:PURPOSE This was to manage the financial crisis , including introducing the Public -- Private Investment Program for Legacy Assets . - L:ELABORATION 10ec1986c60543e5a5677757bd1ad5d9 - L:DESCRIBING_DEFINITION 7ba9f10bab2f41a4b4b5ab6437db71b8 - L:DESCRIBING_DEFINITION bbd8c4d2d3c045cf8f9fcdad3cc478e3 - -10ec1986c60543e5a5677757bd1ad5d9 1 Obama 's Treasury Secretary was Timothy Geithner . - -7ba9f10bab2f41a4b4b5ab6437db71b8 1 Legacy Assets contains provisions . - -bbd8c4d2d3c045cf8f9fcdad3cc478e3 1 Legacy Assets are buying up to two trillion dollars . - S:UNKNOWN_SUBORDINATION This is in depreciated real estate assets . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 259/527 # - -'Obama intervened in the troubled automotive industry in March 2009, renewing loans for General Motors and Chrysler to continue operations while reorganizing.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> CO/UNKNOWN_COORDINATION (NULL, SharedNPPostParticipalExtractor) - ├───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) - | ├───s───> 'This was in March 2009 .' - | └───n───> 'Obama intervened in the troubled automotive industry .' - └───n───> SUB/PURPOSE (NULL, PurposePostExtractor) - ├───n───> 'Obama was renewing loans for General Motors and Chrysler .' - └───s───> 'This was to continue operations while reorganizing .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# Obama intervened in the troubled automotive industry in March 2009, renewing loans for General Motors and Chrysler to continue operations while reorganizing. - -4486d4b8580346a083d7660fde5a2921 0 Obama intervened in the troubled automotive industry . - S:TEMPORAL This was in March 2009 . - -98b6da2a122c415abbcc2a43dc725659 0 Obama was renewing loans for General Motors and Chrysler . - S:PURPOSE This was to continue operations while reorganizing . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 260/527 # - -'Over the following months the White House set terms for both firms' bankruptcies, including the sale of Chrysler to Italian automaker Fiat and a reorganization of GM giving the U.S. government a temporary 60% equity stake in the company, with the Canadian government taking a 12% stake.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) - ├─────────────────────────────────s─────────────────────────────────> 'Fiat was Italian automaker .' - └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - ├────────────────────────────s────────────────────────────> 'This was for both firms ' bankruptcies .' - └───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) - ├──────────────────s──────────────────> SUB/IDENTIFYING_DEFINITION ('', RestrictiveParticipialExtractor) - | ├───n───> 'This was with the Canadian government .' - | └───s───> 'The Canadian government was taking a 12 % stake .' - └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalInitialExtractor) - ├──────────────────s──────────────────> 'This was over the following months .' - └───n───> SUB/TEMPORAL (NULL, PrepositionalMiddleFinalExtractor) - ├───s───> CO/UNKNOWN_COORDINATION (NULL, SharedNPPostParticipalExtractor) - | ├───n───> CO/LIST (NULL, PostListNPExtractor) - | | ├───n───> 'This was including the sale of Chrysler to Fiat .' - | | └───n───> 'This was including the sale of a reorganization of GM .' - | └────────n────────> 'This was giving the U.S. government a temporary 60 % equity stake in the company .' - └─────────────n─────────────> 'The White House set terms .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# Over the following months the White House set terms for both firms' bankruptcies, including the sale of Chrysler to Italian automaker Fiat and a reorganization of GM giving the U.S. government a temporary 60% equity stake in the company, with the Canadian government taking a 12% stake. - -8e46075686d1473b9c863f9072f86162 0 The White House set terms . - S:UNKNOWN_SUBORDINATION This was over the following months . - S:UNKNOWN_SUBORDINATION This was for both firms ' bankruptcies . - L:TEMPORAL f67335f7062341c0b83ce73d188481b8 - L:TEMPORAL eb490efaed7145b79a6d84f129d3033a - L:TEMPORAL e7bd19864a274a038931ac13c9608f64 - L:TEMPORAL 44758bafe8f04e109b3de5db9fade26d - L:ELABORATION 30069547a9f94cbf999ef55dd1736eb0 - -f67335f7062341c0b83ce73d188481b8 1 This was including the sale of Chrysler to Fiat . - L:LIST eb490efaed7145b79a6d84f129d3033a - -eb490efaed7145b79a6d84f129d3033a 1 This was including the sale of a reorganization of GM . - L:LIST f67335f7062341c0b83ce73d188481b8 - -e7bd19864a274a038931ac13c9608f64 1 This was giving the U.S. government a temporary 60 % equity stake in the company . - -44758bafe8f04e109b3de5db9fade26d 1 This was with the Canadian government . - L:IDENTIFYING_DEFINITION 012e148fdeae406580b27baa3e4d49fb - -012e148fdeae406580b27baa3e4d49fb 2 The Canadian government was taking a 12 % stake . - -30069547a9f94cbf999ef55dd1736eb0 1 Fiat was Italian automaker . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 261/527 # - -'In June 2009, dissatisfied with the pace of economic stimulus, Obama called on his cabinet to accelerate the investment.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/UNKNOWN_SUBORDINATION ('', ParticipialMiddleExtractor) - ├───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - | ├───s───> 'This was in June 2009 .' - | └───n───> 'Obama called on his cabinet to accelerate the investment .' - └────────s────────> 'June 2009 was dissatisfied with the pace of economic stimulus .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# In June 2009, dissatisfied with the pace of economic stimulus, Obama called on his cabinet to accelerate the investment. - -27df913e5a1f4614919ac30f1074123c 0 Obama called on his cabinet to accelerate the investment . - S:TEMPORAL This was in June 2009 . - L:UNKNOWN_SUBORDINATION 3dd85d88e319454e856afe44d9a27d67 - -3dd85d88e319454e856afe44d9a27d67 1 June 2009 was dissatisfied with the pace of economic stimulus . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 262/527 # - -'He signed into law the Car Allowance Rebate System, known colloquially as Cash for Clunkers, that temporarily boosted the economy.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/DESCRIBING_DEFINITION ('that', NonRestrictiveRelativeClauseWhoWhichExtractor) - ├───n───> SUB/UNKNOWN_SUBORDINATION ('', ParticipialMiddleExtractor) - | ├───n───> 'He signed into law the Car Allowance Rebate System .' - | └───s───> 'The Car Allowance Rebate System was known colloquially as Cash for Clunkers .' - └───s───> SUB/UNKNOWN_SUBORDINATION ('', ParticipialMiddleExtractor) - ├───n───> 'The Car Allowance Rebate System temporarily boosted the economy .' - └───s───> 'The Car Allowance Rebate System was known colloquially as Cash for Clunkers .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# He signed into law the Car Allowance Rebate System, known colloquially as Cash for Clunkers, that temporarily boosted the economy. - -b39d3496634f45279475dad129607d1f 0 He signed into law the Car Allowance Rebate System . - L:UNKNOWN_SUBORDINATION 0a1cae1e596242a9be93511512b33d6f - L:DESCRIBING_DEFINITION d7cef0c05c4145bb9daeff44a2e02cdd - -0a1cae1e596242a9be93511512b33d6f 1 The Car Allowance Rebate System was known colloquially as Cash for Clunkers . - -d7cef0c05c4145bb9daeff44a2e02cdd 1 The Car Allowance Rebate System temporarily boosted the economy . - L:UNKNOWN_SUBORDINATION 28252cd6d32149f39500e247329a8089 - -28252cd6d32149f39500e247329a8089 2 The Car Allowance Rebate System was known colloquially as Cash for Clunkers . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 263/527 # - -'The Bush and Obama administrations authorized spending and loan guarantees from the Federal Reserve and the Treasury Department.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - ├───s───> CO/LIST (NULL, PostListNPExtractor) - | ├───n───> 'This was from the Federal Reserve .' - | └───n───> 'This was from the Treasury Department .' - └────────n────────> 'The Bush and Obama administrations authorized spending and loan guarantees .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# The Bush and Obama administrations authorized spending and loan guarantees from the Federal Reserve and the Treasury Department. - -f19dc548b7774e61808f3b37affca0e9 0 The Bush and Obama administrations authorized spending and loan guarantees . - L:UNKNOWN_SUBORDINATION b7e05f023bb64faab69f555697112693 - L:UNKNOWN_SUBORDINATION dd08e515a8bb41739ac0d936df2f06c7 - -b7e05f023bb64faab69f555697112693 1 This was from the Federal Reserve . - L:LIST dd08e515a8bb41739ac0d936df2f06c7 - -dd08e515a8bb41739ac0d936df2f06c7 1 This was from the Treasury Department . - L:LIST b7e05f023bb64faab69f555697112693 - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 264/527 # - -'These guarantees totaled about $11.5 trillion, but only $3 trillion was spent by the end of November 2009.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> CO/CONTRAST (', but', CoordinationExtractor) - ├───n───> 'These guarantees totaled about $ 11.5 trillion .' - └───n───> 'Only $ 3 trillion was spent by the end of November 2009 .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# These guarantees totaled about $11.5 trillion, but only $3 trillion was spent by the end of November 2009. - -0215b2b6db8c424e91ae18666f6e3f40 0 These guarantees totaled about $ 11.5 trillion . - L:CONTRAST 99ed58717ab7436098ae455a1a221dd7 - -99ed58717ab7436098ae455a1a221dd7 0 Only $ 3 trillion was spent by the end of November 2009 . - L:CONTRAST 0215b2b6db8c424e91ae18666f6e3f40 - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 265/527 # - -'Obama and the Congressional Budget Office predicted the 2010 budget deficit would be $1.5 trillion or 10.6% of the nation's gross domestic product (GDP) compared to the 2009 deficit of $1.4 trillion or 9.9% of GDP.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/UNKNOWN_SUBORDINATION ('', SubordinationPostExtractor) - ├────────n────────> CO/LIST (NULL, PreListNPExtractor) - | ├───n───> 'Obama predicted .' - | └───n───> 'The Congressional Budget Office predicted .' - └───s───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) - ├───s───> CO/DISJUNCTION (NULL, PostListNPExtractor) - | ├───n───> 'This was compared to the 2009 deficit of $ 1.4 trillion .' - | └───n───> 'This was compared to 9.9 % of GDP .' - └───n───> CO/DISJUNCTION (NULL, PostListNPExtractor) - ├───n───> 'The 2010 budget deficit would be $ 1.5 trillion .' - └───n───> 'The 2010 budget deficit would be 10.6 % of the nation 's gross domestic product -LRB- GDP -RRB- .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# Obama and the Congressional Budget Office predicted the 2010 budget deficit would be $1.5 trillion or 10.6% of the nation's gross domestic product (GDP) compared to the 2009 deficit of $1.4 trillion or 9.9% of GDP. - -554545d2b3304008b5aaca4d39295154 0 Obama predicted . - L:LIST 84376c9a50094979a541552108f68498 - L:UNKNOWN_SUBORDINATION 75f246bf016d4030b1c2dccebe43b595 - L:UNKNOWN_SUBORDINATION 75a747279a314517959492fe276806ed - -84376c9a50094979a541552108f68498 0 The Congressional Budget Office predicted . - L:LIST 554545d2b3304008b5aaca4d39295154 - L:UNKNOWN_SUBORDINATION 75f246bf016d4030b1c2dccebe43b595 - L:UNKNOWN_SUBORDINATION 75a747279a314517959492fe276806ed - -75f246bf016d4030b1c2dccebe43b595 1 The 2010 budget deficit would be $ 1.5 trillion . - L:DISJUNCTION 75a747279a314517959492fe276806ed - L:TEMPORAL e3d1af188f924fb09112f839e3a770f3 - L:TEMPORAL 4cf45d0f12464020b3e87a41179f7411 - -75a747279a314517959492fe276806ed 1 The 2010 budget deficit would be 10.6 % of the nation 's gross domestic product -LRB- GDP -RRB- . - L:DISJUNCTION 75f246bf016d4030b1c2dccebe43b595 - L:TEMPORAL e3d1af188f924fb09112f839e3a770f3 - L:TEMPORAL 4cf45d0f12464020b3e87a41179f7411 - -e3d1af188f924fb09112f839e3a770f3 2 This was compared to the 2009 deficit of $ 1.4 trillion . - L:DISJUNCTION 4cf45d0f12464020b3e87a41179f7411 - -4cf45d0f12464020b3e87a41179f7411 2 This was compared to 9.9 % of GDP . - L:DISJUNCTION e3d1af188f924fb09112f839e3a770f3 - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 266/527 # - -'For 2011, the administration predicted the deficit would shrink to $1.34 trillion, and the 10-year deficit would increase to $8.53 trillion or 90% of GDP.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> CO/LIST (', and', CoordinationExtractor) - ├───n───> SUB/UNKNOWN_SUBORDINATION ('', SubordinationPostExtractor) - | ├───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - | | ├───s───> 'This was for 2011 .' - | | └───n───> 'The administration predicted .' - | └────────s────────> 'The deficit would shrink to $ 1.34 trillion .' - └────────n────────> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - ├───s───> 'This is for 2011 .' - └───n───> 'The 10-year deficit would increase to $ 8.53 trillion or 90 % of GDP .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# For 2011, the administration predicted the deficit would shrink to $1.34 trillion, and the 10-year deficit would increase to $8.53 trillion or 90% of GDP. - -824ed78f1a5c45a9af8624e68ba5b9ca 0 The administration predicted . - S:TEMPORAL This was for 2011 . - L:UNKNOWN_SUBORDINATION a8aea038f39a48748553ba5fbba658ff - L:LIST a13dabccbdbe4793b22877cb8dcfbca1 - -a8aea038f39a48748553ba5fbba658ff 1 The deficit would shrink to $ 1.34 trillion . - -a13dabccbdbe4793b22877cb8dcfbca1 0 The 10-year deficit would increase to $ 8.53 trillion or 90 % of GDP . - S:TEMPORAL This is for 2011 . - L:LIST 824ed78f1a5c45a9af8624e68ba5b9ca - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 267/527 # - -'The most recent increase in the U.S. debt ceiling to $17.2 trillion took effect in February 2014.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) - ├───s───> 'This was in February 2014 .' - └───n───> 'The most recent increase in the U.S. debt ceiling to $ 17.2 trillion took effect .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# The most recent increase in the U.S. debt ceiling to $17.2 trillion took effect in February 2014. - -0cb9e5d3457b4bf4a973ddbe00785650 0 The most recent increase in the U.S. debt ceiling to $ 17.2 trillion took effect . - S:TEMPORAL This was in February 2014 . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 268/527 # - -'On August 2, 2011, after a lengthy congressional debate over whether to raise the nation's debt limit, Obama signed the bipartisan Budget Control Act of 2011.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - ├────────s────────> 'This was on August 2 , 2011 .' - └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalInitialExtractor) - ├───s───> 'This was after a lengthy congressional debate over whether to raise the nation 's debt limit .' - └───n───> 'Obama signed the bipartisan Budget Control Act of 2011 .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# On August 2, 2011, after a lengthy congressional debate over whether to raise the nation's debt limit, Obama signed the bipartisan Budget Control Act of 2011. - -9260b2afe1fd464d8f22eeb1f0a46556 0 Obama signed the bipartisan Budget Control Act of 2011 . - S:UNKNOWN_SUBORDINATION This was after a lengthy congressional debate over whether to raise the nation 's debt limit . - S:TEMPORAL This was on August 2 , 2011 . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 269/527 # - -'The legislation enforces limits on discretionary spending until 2021, establishes a procedure to increase the debt limit, creates a Congressional Joint Select Committee on Deficit Reduction to propose further deficit reduction with a stated goal of achieving at least $1.5 trillion in budgetary savings over 10 years, and establishes automatic procedures for reducing spending by as much as $1.2 trillion if legislation originating with the new joint select committee does not achieve such savings.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> CO/UNKNOWN_COORDINATION (NULL, SharedNPPostCoordinationExtractor) - ├───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) - | ├───s───> 'This is until 2021 .' - | └───n───> 'The legislation enforces limits on discretionary spending .' - ├────────n────────> 'The legislation establishes a procedure to increase the debt limit .' - ├───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) - | ├───s───> 'This was with a stated goal of achieving at least $ 1.5 trillion in budgetary savings over 10 years .' - | └───n───> 'The legislation creates a Congressional Joint Select Committee on Deficit Reduction to propose further deficit reduction .' - └───n───> CO/UNKNOWN_COORDINATION (NULL, SharedNPPostParticipalExtractor) - ├───n───> 'The legislation establishes automatic procedures .' - └───n───> 'The legislation is reducing spending by as much as $ 1.2 trillion if legislation originating with the new joint select committee does not achieve such savings .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# The legislation enforces limits on discretionary spending until 2021, establishes a procedure to increase the debt limit, creates a Congressional Joint Select Committee on Deficit Reduction to propose further deficit reduction with a stated goal of achieving at least $1.5 trillion in budgetary savings over 10 years, and establishes automatic procedures for reducing spending by as much as $1.2 trillion if legislation originating with the new joint select committee does not achieve such savings. - -50c3ec82cafc4135bb860296b5ac4cc5 0 The legislation enforces limits on discretionary spending . - S:TEMPORAL This is until 2021 . - -4c1d1e9c23584e3b81d754405cdcc0e5 0 The legislation establishes a procedure to increase the debt limit . - -b33d4f6d8a0b4b81ba1c30815c48db7c 0 The legislation creates a Congressional Joint Select Committee on Deficit Reduction to propose further deficit reduction . - S:TEMPORAL This was with a stated goal of achieving at least $ 1.5 trillion in budgetary savings over 10 years . - -1b67e74705e84f3584f6a45353da0c16 0 The legislation establishes automatic procedures . - -806108143da9410c8bf93ebac2602fac 0 The legislation is reducing spending by as much as $ 1.2 trillion if legislation originating with the new joint select committee does not achieve such savings . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 270/527 # - -'By passing the legislation, Congress was able to prevent a U.S. government default on its obligations.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> CO/UNKNOWN_COORDINATION ('By', SharedNPPreParticipalExtractor) - ├───n───> 'Congress was passing the legislation .' - └───n───> 'Congress was able to prevent a U.S. government default on its obligations .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# By passing the legislation, Congress was able to prevent a U.S. government default on its obligations. - -f23be2fb64b24c6ca0d3f2b042048a1f 0 Congress was passing the legislation . - -54c416290f3a43f0b1b631f0fbf0e76b 0 Congress was able to prevent a U.S. government default on its obligations . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 271/527 # - -'US employment statistics (unemployment rate and monthly changes in net employment) during Obama's tenure as U.S. President' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> 'US employment statistics -LRB- unemployment rate and monthly changes in net employment -RRB- during Obama 's tenure as U.S. President' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# US employment statistics (unemployment rate and monthly changes in net employment) during Obama's tenure as U.S. President - -ffcc2eac405149ea918ff710de830b95 0 US employment statistics -LRB- unemployment rate and monthly changes in net employment -RRB- during Obama 's tenure as U.S. President - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 272/527 # - -'As it did throughout 2008, the unemployment rate rose in 2009, reaching a peak in October at 10.0% and averaging 10.0% in the fourth quarter.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/BACKGROUND ('As', SubordinationPreExtractor) - ├──────────────────s──────────────────> 'It did throughout 2008 .' - └───n───> CO/UNKNOWN_COORDINATION (NULL, SharedNPPostParticipalExtractor) - ├─────────────n─────────────> 'The unemployment rate rose in 2009 .' - └───n───> CO/LIST ('and', SharedNPPostCoordinationExtractor) - ├───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) - | ├───s───> 'This was at 10.0 % .' - | └───n───> 'The unemployment rate was reaching a peak in October .' - └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - ├───s───> 'This was in the fourth quarter .' - └───n───> 'The unemployment rate was averaging 10.0 % .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# As it did throughout 2008, the unemployment rate rose in 2009, reaching a peak in October at 10.0% and averaging 10.0% in the fourth quarter. - -69de593e530442afb8334f1e43361f00 0 The unemployment rate rose in 2009 . - L:BACKGROUND ccdce522a0864772a82f360a9bd79136 - -bfa8c6ad6f11473cacbaab93aee36e0e 0 The unemployment rate was reaching a peak in October . - S:TEMPORAL This was at 10.0 % . - L:LIST 2a057d0e96034a04904ccaf4a35ef3f5 - L:BACKGROUND ccdce522a0864772a82f360a9bd79136 - -2a057d0e96034a04904ccaf4a35ef3f5 0 The unemployment rate was averaging 10.0 % . - S:UNKNOWN_SUBORDINATION This was in the fourth quarter . - L:LIST bfa8c6ad6f11473cacbaab93aee36e0e - L:BACKGROUND ccdce522a0864772a82f360a9bd79136 - -ccdce522a0864772a82f360a9bd79136 1 It did throughout 2008 . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 273/527 # - -'Following a decrease to 9.7% in the first quarter of 2010, the unemployment rate fell to 9.6% in the second quarter, where it remained for the rest of the year.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/SPATIAL (NULL, NonRestrictiveRelativeClauseWhereExtractor) - ├───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - | ├─────────────s─────────────> 'This was in the second quarter .' - | └───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - | ├───s───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) - | | ├───s───> 'This was to 9.7 % in the first quarter of 2010 .' - | | └───n───> 'This was following a decrease .' - | └────────n────────> 'The unemployment rate fell to 9.6 % .' - └──────────────────s──────────────────> 'It remained for the rest of the year .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# Following a decrease to 9.7% in the first quarter of 2010, the unemployment rate fell to 9.6% in the second quarter, where it remained for the rest of the year. - -06fc00b0c267465bb0069d802b270c67 0 The unemployment rate fell to 9.6 % . - S:UNKNOWN_SUBORDINATION This was in the second quarter . - L:TEMPORAL 7dc097709ea144aaa34d8702ac729319 - L:SPATIAL f49b1f8d132a40df9543d2a21880128d - -7dc097709ea144aaa34d8702ac729319 1 This was following a decrease . - S:TEMPORAL This was to 9.7 % in the first quarter of 2010 . - -f49b1f8d132a40df9543d2a21880128d 1 It remained for the rest of the year . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 274/527 # - -'Between February and December 2010, employment rose by 0.8%, which was less than the average of 1.9% experienced during comparable periods in the past four employment recoveries.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/DESCRIBING_DEFINITION ('which', NonRestrictiveRelativeClauseWhoWhichExtractor) - ├───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - | ├───s───> CO/LIST (NULL, PostListNPExtractor) - | | ├───n───> 'This was between February .' - | | └───n───> 'This was between December 2010 .' - | └────────n────────> 'Employment rose by 0.8 % .' - └─────────────s─────────────> '0.8 % was less than the average of 1.9 % experienced during comparable periods in the past four employment recoveries .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# Between February and December 2010, employment rose by 0.8%, which was less than the average of 1.9% experienced during comparable periods in the past four employment recoveries. - -c5e159642a8a4d55a1b5e2f3c115e8d4 0 Employment rose by 0.8 % . - L:TEMPORAL 2630e4b525374fc286c012ec55b314d8 - L:TEMPORAL 5d84ab2e7d2f41218041d7b95482082f - L:DESCRIBING_DEFINITION f4b7082b4721413cafeaa1123b11fd0f - -2630e4b525374fc286c012ec55b314d8 1 This was between February . - L:LIST 5d84ab2e7d2f41218041d7b95482082f - -5d84ab2e7d2f41218041d7b95482082f 1 This was between December 2010 . - L:LIST 2630e4b525374fc286c012ec55b314d8 - -f4b7082b4721413cafeaa1123b11fd0f 1 0.8 % was less than the average of 1.9 % experienced during comparable periods in the past four employment recoveries . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 275/527 # - -'By November 2012, the unemployment rate fell to 7.7%, decreasing to 6.7% in the last month of 2013.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> CO/UNKNOWN_COORDINATION (NULL, SharedNPPostParticipalExtractor) - ├───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - | ├───s───> 'This was by November 2012 .' - | └───n───> 'The unemployment rate fell to 7.7 % .' - └───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - ├───s───> 'This was by November 2012 .' - └───n───> 'The unemployment rate was decreasing to 6.7 % in the last month of 2013 .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# By November 2012, the unemployment rate fell to 7.7%, decreasing to 6.7% in the last month of 2013. - -ec3efbb8768244318a771f0d7777152e 0 The unemployment rate fell to 7.7 % . - S:TEMPORAL This was by November 2012 . - -2e7296ad57b3485f9490d426083ab72c 0 The unemployment rate was decreasing to 6.7 % in the last month of 2013 . - S:TEMPORAL This was by November 2012 . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 276/527 # - -'During 2014, the unemployment rate continued to decline, falling to 6.3% in the first quarter.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - ├───s───> 'This was during 2014 .' - └───n───> 'The unemployment rate continued to decline , falling to 6.3 % in the first quarter .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# During 2014, the unemployment rate continued to decline, falling to 6.3% in the first quarter. - -13e2fc340ce44b8c970b1a3b826eba20 0 The unemployment rate continued to decline , falling to 6.3 % in the first quarter . - S:TEMPORAL This was during 2014 . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 277/527 # - -'GDP growth returned in the third quarter of 2009, expanding at a rate of 1.6%, followed by a 5.0% increase in the fourth quarter.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> CO/UNKNOWN_COORDINATION (NULL, SharedNPPostParticipalExtractor) - ├────────n────────> 'GDP growth returned in the third quarter of 2009 .' - └───n───> SUB/UNKNOWN_SUBORDINATION ('', ParticipialMiddleExtractor) - ├───n───> 'GDP growth was expanding at a rate of 1.6 % .' - └───s───> '1.6 % was followed by a 5.0 % increase in the fourth quarter .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# GDP growth returned in the third quarter of 2009, expanding at a rate of 1.6%, followed by a 5.0% increase in the fourth quarter. - -5222e836741d45c3a8fc64060355b17a 0 GDP growth returned in the third quarter of 2009 . - -ef39227d7eb1494b90a403e281338a2e 0 GDP growth was expanding at a rate of 1.6 % . - L:UNKNOWN_SUBORDINATION ea6e44014ad0498a8117ffc44eb9bb42 - -ea6e44014ad0498a8117ffc44eb9bb42 1 1.6 % was followed by a 5.0 % increase in the fourth quarter . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 278/527 # - -'Growth continued in 2010, posting an increase of 3.7% in the first quarter, with lesser gains throughout the rest of the year.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> CO/UNKNOWN_COORDINATION (NULL, SharedNPPostParticipalExtractor) - ├───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - | ├────────s────────> 'This was throughout the rest of the year .' - | └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalMiddleFinalExtractor) - | ├───s───> 'This was with lesser gains .' - | └───n───> 'Growth continued in 2010 .' - └────────n────────> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalMiddleFinalExtractor) - ├───s───> 'This was with lesser gains throughout the rest of the year .' - └───n───> 'Growth was posting an increase of 3.7 % in the first quarter .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# Growth continued in 2010, posting an increase of 3.7% in the first quarter, with lesser gains throughout the rest of the year. - -47cac57703734beda2f333f9a2d89421 0 Growth continued in 2010 . - S:UNKNOWN_SUBORDINATION This was with lesser gains . - S:UNKNOWN_SUBORDINATION This was throughout the rest of the year . - -ca2ec16767d2490a91642993283364c0 0 Growth was posting an increase of 3.7 % in the first quarter . - S:UNKNOWN_SUBORDINATION This was with lesser gains throughout the rest of the year . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 279/527 # - -'In July 2010, the Federal Reserve noted that economic activity continued to increase, but its pace had slowed, and chairman Ben Bernanke said the economic outlook was unusually uncertain.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> CO/CONTRAST (', but', CoordinationExtractor) - ├─────────────n─────────────> SUB/ATTRIBUTION (NULL, SubordinationPostAttributionExtractor2) - | ├───s───> 'This was what the Federal Reserve noted in July 2010 .' - | └───n───> 'Economic activity continued to increase .' - └───n───> CO/LIST (', and', CoordinationExtractor) - ├─────────────n─────────────> 'Its pace had slowed .' - └───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) - ├────────s────────> 'Ben Bernanke was Chairman .' - └───n───> SUB/ATTRIBUTION (NULL, SubordinationPostAttributionExtractor) - ├───s───> 'This was what Ben Bernanke said .' - └───n───> 'The economic outlook was unusually uncertain .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# In July 2010, the Federal Reserve noted that economic activity continued to increase, but its pace had slowed, and chairman Ben Bernanke said the economic outlook was unusually uncertain. - -f49cf71d45dd4c5f880638fd184643ad 0 Economic activity continued to increase . - S:ATTRIBUTION This was what the Federal Reserve noted in July 2010 . - L:CONTRAST 6bb997539dce49b5b6cd744727850c05 - L:CONTRAST d975857f12f24c7b96f8fd8cfcba0def - -6bb997539dce49b5b6cd744727850c05 0 Its pace had slowed . - L:LIST d975857f12f24c7b96f8fd8cfcba0def - L:CONTRAST f49cf71d45dd4c5f880638fd184643ad - -d975857f12f24c7b96f8fd8cfcba0def 0 The economic outlook was unusually uncertain . - S:ATTRIBUTION This was what Ben Bernanke said . - L:ELABORATION 97634e5047aa44e5946c5e126619843f - L:LIST 6bb997539dce49b5b6cd744727850c05 - L:CONTRAST f49cf71d45dd4c5f880638fd184643ad - -97634e5047aa44e5946c5e126619843f 1 Ben Bernanke was Chairman . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 280/527 # - -'Overall, the economy expanded at a rate of 2.9% in 2010.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) - ├────────s────────> 'This was in 2010 .' - └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, AdjectivalAdverbialInitialExtractor) - ├───s───> 'This was overall .' - └───n───> 'The economy expanded at a rate of 2.9 % .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# Overall, the economy expanded at a rate of 2.9% in 2010. - -462c7a9f337b4bd7a728d2ee63ab1bc8 0 The economy expanded at a rate of 2.9 % . - S:UNKNOWN_SUBORDINATION This was overall . - S:TEMPORAL This was in 2010 . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 281/527 # - -'The Congressional Budget Office (CBO) and a broad range of economists credit Obama's stimulus plan for economic growth.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> 'The Congressional Budget Office -LRB- CBO -RRB- and a broad range of economists credit Obama 's stimulus plan for economic growth .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# The Congressional Budget Office (CBO) and a broad range of economists credit Obama's stimulus plan for economic growth. - -3939055b52d94c51a11df400ae18e428 0 The Congressional Budget Office -LRB- CBO -RRB- and a broad range of economists credit Obama 's stimulus plan for economic growth . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 282/527 # - -'The CBO released a report stating that the stimulus bill increased employment by 1–2.1 million, while conceding that It is impossible to determine how many of the reported jobs would have existed in the absence of the stimulus package.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> CO/UNKNOWN_COORDINATION (NULL, SharedNPPostParticipalExtractor) - ├─────────────n─────────────> 'The CBO released a report .' - └───n───> SUB/ATTRIBUTION (NULL, SubordinationPostAttributionExtractor2) - ├────────s────────> 'This was what the CBO was stating .' - └───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) - ├───s───> 'This was by 1 .' - └───n───> 'The stimulus bill increased employment -- 2.1 million , while conceding that It is impossible to determine how many of the reported jobs would have existed in the absence of the stimulus package .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# The CBO released a report stating that the stimulus bill increased employment by 1–2.1 million, while conceding that It is impossible to determine how many of the reported jobs would have existed in the absence of the stimulus package. - -9288eea2d1c948b59bdb8e95d9f62b53 0 The CBO released a report . - -e8f2a983c97f4c36ba4e310060709bc8 0 The stimulus bill increased employment -- 2.1 million , while conceding that It is impossible to determine how many of the reported jobs would have existed in the absence of the stimulus package . - S:TEMPORAL This was by 1 . - S:ATTRIBUTION This was what the CBO was stating . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 283/527 # - -'Although an April 2010, survey of members of the National Association for Business Economics showed an increase in job creation (over a similar January survey) for the first time in two years, 73% of 68 respondents believed that the stimulus bill has had no impact on employment.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/ELABORATION (NULL, NonRestrictiveAppositionExtractor) - ├──────────────────s──────────────────> 'Survey of members of the National Association for Business Economics were an April 2010 .' - └───n───> CO/CONTRAST ('Although', SubordinationPreExtractor) - ├───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - | ├────────s────────> 'This was in job creation .' - | └───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) - | ├───s───> 'This was for the first time in two years .' - | └───n───> 'An April 2010 showed an increase -LRB- over a similar January survey -RRB- .' - └────────n────────> SUB/ATTRIBUTION (NULL, SubordinationPostAttributionExtractor2) - ├───s───> 'This was what 73 % of 68 respondents believed .' - └───n───> 'The stimulus bill has had no impact on employment .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# Although an April 2010, survey of members of the National Association for Business Economics showed an increase in job creation (over a similar January survey) for the first time in two years, 73% of 68 respondents believed that the stimulus bill has had no impact on employment. - -55d3e5ff042a4bc58658a003de077452 0 An April 2010 showed an increase -LRB- over a similar January survey -RRB- . - S:TEMPORAL This was for the first time in two years . - S:UNKNOWN_SUBORDINATION This was in job creation . - L:CONTRAST a079f1007a864d13a0bcf04b0c3e9e76 - L:ELABORATION b14331f0e5ac4ef0a47856bfbf048f5d - -a079f1007a864d13a0bcf04b0c3e9e76 0 The stimulus bill has had no impact on employment . - S:ATTRIBUTION This was what 73 % of 68 respondents believed . - L:CONTRAST 55d3e5ff042a4bc58658a003de077452 - L:ELABORATION b14331f0e5ac4ef0a47856bfbf048f5d - -b14331f0e5ac4ef0a47856bfbf048f5d 1 Survey of members of the National Association for Business Economics were an April 2010 . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 284/527 # - -'The economy of the United States has grown faster than the other original NATO members by a wider margin under President Obama than it has anytime since the end of World War II.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) - ├─────────────s─────────────> 'Obama was margin under President .' - └───n───> SUB/UNKNOWN_SUBORDINATION ('than', SubordinationPostExtractor) - ├───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - | ├───s───> 'This was by a wider Obama .' - | └───n───> 'The economy of the United States has grown faster than the other original NATO members .' - └────────s────────> 'It has anytime since the end of World War II .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# The economy of the United States has grown faster than the other original NATO members by a wider margin under President Obama than it has anytime since the end of World War II. - -3c39441cc7534d8c81262e20d68269c3 0 The economy of the United States has grown faster than the other original NATO members . - S:UNKNOWN_SUBORDINATION This was by a wider Obama . - L:UNKNOWN_SUBORDINATION 44f8aedc131f44c18e6f53076ecea1bb - L:ELABORATION 071ea5963c4d458a944c942be1fc1f5b - -44f8aedc131f44c18e6f53076ecea1bb 1 It has anytime since the end of World War II . - -071ea5963c4d458a944c942be1fc1f5b 1 Obama was margin under President . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 285/527 # - -'The Organisation for Economic Co-operation and Development credits the much faster growth in the United States to the stimulus plan of the US and the austerity measures in the European Union.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) - ├───s───> CO/LIST (NULL, PostListNPExtractor) - | ├───n───> 'This is to the stimulus plan of the US .' - | └───n───> 'This is to the austerity measures in the European Union .' - └────────n────────> 'The Organisation for Economic Co-operation and Development credits the much faster growth in the United States .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# The Organisation for Economic Co-operation and Development credits the much faster growth in the United States to the stimulus plan of the US and the austerity measures in the European Union. - -58947fb568ed48eaaa4d27774ac69a8d 0 The Organisation for Economic Co-operation and Development credits the much faster growth in the United States . - L:SPATIAL 828b95371a0c440eb56a9a25f0f18993 - L:SPATIAL b86005405ce846b285565fa7844c1f5b - -828b95371a0c440eb56a9a25f0f18993 1 This is to the stimulus plan of the US . - L:LIST b86005405ce846b285565fa7844c1f5b - -b86005405ce846b285565fa7844c1f5b 1 This is to the austerity measures in the European Union . - L:LIST 828b95371a0c440eb56a9a25f0f18993 - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 286/527 # - -'Within a month of the 2010 midterm elections, Obama announced a compromise deal with the Congressional Republican leadership that included a temporary, two-year extension of the 2001 and 2003 income tax rates, a one-year payroll tax reduction, continuation of unemployment benefits, and a new rate and exemption amount for estate taxes.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/ELABORATION (NULL, NonRestrictiveAppositionExtractor) - ├─────────────s─────────────> CO/LIST (NULL, PreListNPExtractor) - | ├───n───> 'The 2001 were a one-year payroll tax reduction .' - | └───n───> '2003 income tax rates were a one-year payroll tax reduction .' - └───n───> SUB/IDENTIFYING_DEFINITION ('that', RestrictiveRelativeClauseWhoWhichExtractor) - ├───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - | ├────────s────────> 'This was with the Congressional Republican leadership .' - | └───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - | ├───s───> 'This was within a month of the 2010 midterm elections .' - | └───n───> 'Obama announced a compromise deal .' - └─────────────s─────────────> 'The Congressional Republican leadership included a temporary , two-year extension of the 2001 and 2003 income tax rates , continuation of unemployment benefits , and a new rate and exemption amount for estate taxes .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# Within a month of the 2010 midterm elections, Obama announced a compromise deal with the Congressional Republican leadership that included a temporary, two-year extension of the 2001 and 2003 income tax rates, a one-year payroll tax reduction, continuation of unemployment benefits, and a new rate and exemption amount for estate taxes. - -e7d7eb396b514f128bbc5e15686ff244 0 Obama announced a compromise deal . - S:TEMPORAL This was within a month of the 2010 midterm elections . - S:UNKNOWN_SUBORDINATION This was with the Congressional Republican leadership . - L:IDENTIFYING_DEFINITION 3a2b086155654721b5a75707caf8e6d8 - L:ELABORATION 40e3eccf7509475a9a8227ac6cd2d6cc - L:ELABORATION 55b2445d5bbc4fda843baddaa833e4ed - -3a2b086155654721b5a75707caf8e6d8 1 The Congressional Republican leadership included a temporary , two-year extension of the 2001 and 2003 income tax rates , continuation of unemployment benefits , and a new rate and exemption amount for estate taxes . - -40e3eccf7509475a9a8227ac6cd2d6cc 1 The 2001 were a one-year payroll tax reduction . - L:LIST 55b2445d5bbc4fda843baddaa833e4ed - -55b2445d5bbc4fda843baddaa833e4ed 1 2003 income tax rates were a one-year payroll tax reduction . - L:LIST 40e3eccf7509475a9a8227ac6cd2d6cc - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 287/527 # - -'The compromise overcame opposition from some in both parties, and the resulting $858 billion Tax Relief, Unemployment Insurance Reauthorization, and Job Creation Act of 2010 passed with bipartisan majorities in both houses of Congress before Obama signed it on December 17, 2010.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> CO/LIST (', and', CoordinationExtractor) - ├────────n────────> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - | ├───s───> 'This was from some in both parties .' - | └───n───> 'The compromise overcame opposition .' - └───n───> SUB/TEMPORAL_AFTER ('before', SubordinationPostExtractor) - ├────────n────────> 'The resulting $ 858 billion Tax Relief , Unemployment Insurance Reauthorization , and Job Creation Act of 2010 passed with bipartisan majorities in both houses of Congress .' - └───s───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) - ├───s───> 'This was on December 17 , 2010 .' - └───n───> 'Obama signed it .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# The compromise overcame opposition from some in both parties, and the resulting $858 billion Tax Relief, Unemployment Insurance Reauthorization, and Job Creation Act of 2010 passed with bipartisan majorities in both houses of Congress before Obama signed it on December 17, 2010. - -7f7d24f0ba504f6184cf541bcda1d29d 0 The compromise overcame opposition . - S:UNKNOWN_SUBORDINATION This was from some in both parties . - L:LIST eae668b22e23429492795b60db485941 - -eae668b22e23429492795b60db485941 0 The resulting $ 858 billion Tax Relief , Unemployment Insurance Reauthorization , and Job Creation Act of 2010 passed with bipartisan majorities in both houses of Congress . - L:TEMPORAL_AFTER 3dab609603224856b510679c8e60d824 - L:LIST 7f7d24f0ba504f6184cf541bcda1d29d - -3dab609603224856b510679c8e60d824 1 Obama signed it . - S:TEMPORAL This was on December 17 , 2010 . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 288/527 # - -'In December 2013, Obama declared that growing income inequality is a defining challenge of our time and called on Congress to bolster the safety net and raise wages.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> CO/LIST ('and', SharedNPPostCoordinationExtractor) - ├────────n────────> SUB/ATTRIBUTION (NULL, SubordinationPostAttributionExtractor2) - | ├───s───> 'This was what Obama declared in December 2013 .' - | └───n───> 'That growing income inequality is a defining challenge of our time .' - └───n───> SUB/PURPOSE (NULL, PurposePostExtractor) - ├───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - | ├───s───> 'This was in December 2013 .' - | └───n───> 'Obama called on Congress .' - └────────s────────> 'This was to bolster the safety net and raise wages .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# In December 2013, Obama declared that growing income inequality is a defining challenge of our time and called on Congress to bolster the safety net and raise wages. - -1cce95f1ca9e427995eccd01b8f5ccfa 0 That growing income inequality is a defining challenge of our time . - S:ATTRIBUTION This was what Obama declared in December 2013 . - L:LIST 242ea0a1e8a2464e8106728c9b0d7919 - -242ea0a1e8a2464e8106728c9b0d7919 0 Obama called on Congress . - S:TEMPORAL This was in December 2013 . - S:PURPOSE This was to bolster the safety net and raise wages . - L:LIST 1cce95f1ca9e427995eccd01b8f5ccfa - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 289/527 # - -'This came on the heels of the nationwide strikes of fast-food workers and Pope Francis' criticism of inequality and trickle-down economics.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> CO/LIST (NULL, PostListNPExtractor) - ├───n───> 'This came on the heels of the nationwide strikes of fast-food workers .' - └───n───> 'This came on the heels of Pope Francis ' criticism of inequality and trickle-down economics .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# This came on the heels of the nationwide strikes of fast-food workers and Pope Francis' criticism of inequality and trickle-down economics. - -c9d5c6b43ca5448d921bc482150e73a3 0 This came on the heels of the nationwide strikes of fast-food workers . - L:LIST afe6c30d07594959a6c590761df62ace - -afe6c30d07594959a6c590761df62ace 0 This came on the heels of Pope Francis ' criticism of inequality and trickle-down economics . - L:LIST c9d5c6b43ca5448d921bc482150e73a3 - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 290/527 # - -'Obama urged Congress to ratify a 12-nation free trade pact called the Trans-Pacific Partnership.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> 'Obama urged Congress to ratify a 12-nation free trade pact called the Trans-Pacific Partnership .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# Obama urged Congress to ratify a 12-nation free trade pact called the Trans-Pacific Partnership. - -6fac61088ce04b1ca9befaf05bf55e18 0 Obama urged Congress to ratify a 12-nation free trade pact called the Trans-Pacific Partnership . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 291/527 # - -'On September 30, 2009, the Obama administration proposed new regulations on power plants, factories, and oil refineries in an attempt to limit greenhouse gas emissions and to curb global warming.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - ├─────────────s─────────────> CO/LIST (NULL, PostListNPExtractor) - | ├───n───> 'This was on power plants .' - | ├───n───> 'This was on factories .' - | └───n───> 'This was on oil refineries .' - └───n───> SUB/PURPOSE (NULL, PurposePostExtractor) - ├───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - | ├────────s────────> 'This was in an attempt .' - | └───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - | ├───s───> 'This was on September 30 , 2009 .' - | └───n───> 'The Obama administration proposed new regulations .' - └─────────────s─────────────> 'This was to limit greenhouse gas emissions and to curb global warming .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# On September 30, 2009, the Obama administration proposed new regulations on power plants, factories, and oil refineries in an attempt to limit greenhouse gas emissions and to curb global warming. - -f264749633e7422db65d7d21006056d8 0 The Obama administration proposed new regulations . - S:TEMPORAL This was on September 30 , 2009 . - S:UNKNOWN_SUBORDINATION This was in an attempt . - S:PURPOSE This was to limit greenhouse gas emissions and to curb global warming . - L:UNKNOWN_SUBORDINATION bbbf76a381ac4bd0bee03cbc562239c5 - L:UNKNOWN_SUBORDINATION 9d74e043e5554ca68831cdae24740ead - L:UNKNOWN_SUBORDINATION 88ff19220a7a44809c55ee1c18368f37 - -bbbf76a381ac4bd0bee03cbc562239c5 1 This was on power plants . - L:LIST 9d74e043e5554ca68831cdae24740ead - L:LIST 88ff19220a7a44809c55ee1c18368f37 - -9d74e043e5554ca68831cdae24740ead 1 This was on factories . - L:LIST 88ff19220a7a44809c55ee1c18368f37 - L:LIST bbbf76a381ac4bd0bee03cbc562239c5 - -88ff19220a7a44809c55ee1c18368f37 1 This was on oil refineries . - L:LIST bbbf76a381ac4bd0bee03cbc562239c5 - L:LIST 9d74e043e5554ca68831cdae24740ead - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 292/527 # - -'On April 20, 2010, an explosion destroyed an offshore drilling rig at the Macondo Prospect in the Gulf of Mexico, causing a major sustained oil leak.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> CO/UNKNOWN_COORDINATION (NULL, SharedNPPostParticipalExtractor) - ├───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - | ├─────────────s─────────────> 'This was at the Macondo Prospect .' - | └───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) - | ├────────s────────> 'This was in the Gulf of Mexico .' - | └───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - | ├───s───> 'This was on April 20 , 2010 .' - | └───n───> 'An explosion destroyed an offshore drilling rig .' - └─────────────n─────────────> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - ├───s───> 'This was on April 20 , 2010 .' - └───n───> 'An explosion was causing a major sustained oil leak .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# On April 20, 2010, an explosion destroyed an offshore drilling rig at the Macondo Prospect in the Gulf of Mexico, causing a major sustained oil leak. - -a8d0faea2d7d45f1ada5714510a86ae7 0 An explosion destroyed an offshore drilling rig . - S:TEMPORAL This was on April 20 , 2010 . - S:SPATIAL This was in the Gulf of Mexico . - S:UNKNOWN_SUBORDINATION This was at the Macondo Prospect . - -0b3652e7c7834cb48023edc261206916 0 An explosion was causing a major sustained oil leak . - S:TEMPORAL This was on April 20 , 2010 . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 293/527 # - -'Obama visited the Gulf, announced a federal investigation, and formed a bipartisan commission to recommend new safety standards, after a review by Secretary of the Interior Ken Salazar and concurrent Congressional hearings.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) - ├────────s────────> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - | ├───s───> 'This was by Secretary of the Interior .' - | └───n───> 'Ken Salazar was a review .' - └───n───> CO/UNKNOWN_COORDINATION (NULL, SharedNPPostCoordinationExtractor) - ├────────n────────> 'Obama visited the Gulf .' - ├────────n────────> 'Obama announced a federal investigation .' - └───n───> SUB/PURPOSE (NULL, PurposePostExtractor) - ├───n───> 'Obama formed a bipartisan commission .' - └───s───> 'This was to recommend new safety standards , after Ken Salazar and concurrent Congressional hearings .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# Obama visited the Gulf, announced a federal investigation, and formed a bipartisan commission to recommend new safety standards, after a review by Secretary of the Interior Ken Salazar and concurrent Congressional hearings. - -ee83c1afde414d0faa7bb51691ac9dee 0 Obama visited the Gulf . - L:ELABORATION b74d54c7f76d468d8069bdf1bb6dd6c5 - -a6ea4f406dac4fa99a99c58529d2cac9 0 Obama announced a federal investigation . - L:ELABORATION b74d54c7f76d468d8069bdf1bb6dd6c5 - -1fb390c9f987494aabc9331d1b19bf57 0 Obama formed a bipartisan commission . - S:PURPOSE This was to recommend new safety standards , after Ken Salazar and concurrent Congressional hearings . - L:ELABORATION b74d54c7f76d468d8069bdf1bb6dd6c5 - -b74d54c7f76d468d8069bdf1bb6dd6c5 1 Ken Salazar was a review . - S:UNKNOWN_SUBORDINATION This was by Secretary of the Interior . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 294/527 # - -'He then announced a six-month moratorium on new deepwater drilling permits and leases, pending regulatory review.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> CO/LIST ('and', SharedNPPostCoordinationExtractor) - ├───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - | ├────────s────────> 'This was on new deepwater drilling permits .' - | └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalMiddleFinalExtractor) - | ├───s───> 'This was pending regulatory review .' - | └───n───> 'He then announced a six-month moratorium .' - └─────────────n─────────────> 'He then leases , pending regulatory review .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# He then announced a six-month moratorium on new deepwater drilling permits and leases, pending regulatory review. - -42909c7a750d48b7bee5ddf0172dc762 0 He then announced a six-month moratorium . - S:UNKNOWN_SUBORDINATION This was pending regulatory review . - S:UNKNOWN_SUBORDINATION This was on new deepwater drilling permits . - L:LIST 6e021d223d754fc4865a23ef908f6317 - -6e021d223d754fc4865a23ef908f6317 0 He then leases , pending regulatory review . - L:LIST 42909c7a750d48b7bee5ddf0172dc762 - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 295/527 # - -'As multiple efforts by BP failed, some in the media and public expressed confusion and criticism over various aspects of the incident, and stated a desire for more involvement by Obama and the federal government.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/BACKGROUND ('As', SubordinationPreExtractor) - ├───────────────────────s───────────────────────> 'Multiple efforts by BP failed .' - └───n───> CO/LIST (', and', SharedNPPostCoordinationExtractor) - ├─────────────n─────────────> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - | ├───s───> 'This was over various aspects of the incident .' - | └───n───> 'Some in the media and public expressed confusion and criticism .' - └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - ├─────────────s─────────────> 'This was for more involvement .' - └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - ├───s───> CO/LIST (NULL, PostListNPExtractor) - | ├───n───> 'This was by Obama .' - | └───n───> 'This was by the federal government .' - └────────n────────> 'Some in the media and public stated a desire .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# As multiple efforts by BP failed, some in the media and public expressed confusion and criticism over various aspects of the incident, and stated a desire for more involvement by Obama and the federal government. - -4feb36bb94c149a79cc2daae083739f8 0 Some in the media and public expressed confusion and criticism . - S:UNKNOWN_SUBORDINATION This was over various aspects of the incident . - L:LIST e9dc7222881a426f934da945a321bde9 - L:BACKGROUND 9217cc35fcc248d2a7ee76d8f0b32e9b - -e9dc7222881a426f934da945a321bde9 0 Some in the media and public stated a desire . - S:UNKNOWN_SUBORDINATION This was for more involvement . - L:UNKNOWN_SUBORDINATION c449d88081f64f10881fdc79d984fbb4 - L:UNKNOWN_SUBORDINATION a03141a6d3a84e3faa9b28bb023ce7f6 - L:LIST 4feb36bb94c149a79cc2daae083739f8 - L:BACKGROUND 9217cc35fcc248d2a7ee76d8f0b32e9b - -c449d88081f64f10881fdc79d984fbb4 1 This was by Obama . - L:LIST a03141a6d3a84e3faa9b28bb023ce7f6 - -a03141a6d3a84e3faa9b28bb023ce7f6 1 This was by the federal government . - L:LIST c449d88081f64f10881fdc79d984fbb4 - -9217cc35fcc248d2a7ee76d8f0b32e9b 1 Multiple efforts by BP failed . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 296/527 # - -'In July 2013, Obama expressed reservations and stated he would reject the Keystone XL pipeline if it increased carbon pollution or greenhouse emissions.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> CO/LIST ('and', SharedNPPostCoordinationExtractor) - ├────────n────────> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - | ├───s───> 'This was in July 2013 .' - | └───n───> 'Obama expressed reservations .' - └───n───> SUB/ATTRIBUTION (NULL, SubordinationPostAttributionExtractor) - ├────────s────────> 'This was what Obama stated in July 2013 .' - └───n───> SUB/CONDITION ('if', SubordinationPostExtractor) - ├───n───> 'He would reject the Keystone XL pipeline .' - └───s───> 'It increased carbon pollution or greenhouse emissions .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# In July 2013, Obama expressed reservations and stated he would reject the Keystone XL pipeline if it increased carbon pollution or greenhouse emissions. - -85aaa3c30c7641109559302b75ba024c 0 Obama expressed reservations . - S:TEMPORAL This was in July 2013 . - L:LIST d41bd4367cb4443fbf2d1dcc0fd7ff4a - -d41bd4367cb4443fbf2d1dcc0fd7ff4a 0 He would reject the Keystone XL pipeline . - S:ATTRIBUTION This was what Obama stated in July 2013 . - L:CONDITION 096ae6b791244a1b9e6464f2b4852616 - L:LIST 85aaa3c30c7641109559302b75ba024c - -096ae6b791244a1b9e6464f2b4852616 1 It increased carbon pollution or greenhouse emissions . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 297/527 # - -'Obama's advisers called for a halt to petroleum exploration in the Arctic in January 2013.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) - ├────────s────────> 'This was to petroleum exploration in the Arctic .' - └───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) - ├───s───> 'This was in January 2013 .' - └───n───> 'Obama 's advisers called for a halt .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# Obama's advisers called for a halt to petroleum exploration in the Arctic in January 2013. - -7e95f46347b248d5b842055f538efca2 0 Obama 's advisers called for a halt . - S:TEMPORAL This was in January 2013 . - S:SPATIAL This was to petroleum exploration in the Arctic . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 298/527 # - -'On February 24, 2015, Obama vetoed a bill that would authorize the pipeline.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/IDENTIFYING_DEFINITION ('that', RestrictiveRelativeClauseWhoWhichExtractor) - ├───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - | ├───s───> 'This was on February 24 , 2015 .' - | └───n───> 'Obama vetoed a bill .' - └────────s────────> 'A bill would authorize the pipeline .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# On February 24, 2015, Obama vetoed a bill that would authorize the pipeline. - -cb463073d806473bb015fcf27901586e 0 Obama vetoed a bill . - S:TEMPORAL This was on February 24 , 2015 . - L:IDENTIFYING_DEFINITION bc45de4d42f045418ae7ce3414431fce - -bc45de4d42f045418ae7ce3414431fce 1 A bill would authorize the pipeline . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 299/527 # - -'It was the third veto of Obama's presidency and his first major veto.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> CO/LIST (NULL, PostListNPExtractor) - ├───n───> 'It was the third veto of Obama 's presidency .' - └───n───> 'It was the third veto of his first major veto .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# It was the third veto of Obama's presidency and his first major veto. - -f5f15d45114a4eba9a3b8d3d9ea29695 0 It was the third veto of Obama 's presidency . - L:LIST 70065a4d755740689febf2b9ba24f83a - -70065a4d755740689febf2b9ba24f83a 0 It was the third veto of his first major veto . - L:LIST f5f15d45114a4eba9a3b8d3d9ea29695 - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 300/527 # - -'Obama has emphasized the conservation of federal lands during his term in office.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - ├───s───> 'This was during his term in office .' - └───n───> 'Obama has emphasized the conservation of federal lands .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# Obama has emphasized the conservation of federal lands during his term in office. - -88ac86e0a1744b16a963711858270083 0 Obama has emphasized the conservation of federal lands . - S:UNKNOWN_SUBORDINATION This was during his term in office . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 301/527 # - -'He used his power under the Antiquities Act to create 25 new national monuments during his presidency and expand four others, protecting a total of 553,000,000 acres (224,000,000 ha) of federal lands and waters, more than any other U.S. president.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> CO/UNKNOWN_COORDINATION (NULL, SharedNPPostParticipalExtractor) - ├───n───> SUB/PURPOSE (NULL, PurposePostExtractor) - | ├───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - | | ├───s───> 'This was under the Antiquities Act .' - | | └───n───> 'He used his power .' - | └────────s────────> 'This was to create 25 new national monuments during his presidency and expand four others .' - └────────n────────> SUB/UNKNOWN_SUBORDINATION (NULL, AdjectivalAdverbialMiddleFinalExtractor) - ├───s───> 'This was more than any other U.S. president .' - └───n───> 'He was protecting a total of 553,000,000 acres -LRB- 224,000,000 ha -RRB- of federal lands and waters .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# He used his power under the Antiquities Act to create 25 new national monuments during his presidency and expand four others, protecting a total of 553,000,000 acres (224,000,000 ha) of federal lands and waters, more than any other U.S. president. - -b5383069edf342d992da56e48820f1eb 0 He used his power . - S:UNKNOWN_SUBORDINATION This was under the Antiquities Act . - S:PURPOSE This was to create 25 new national monuments during his presidency and expand four others . - -af7c277124be4ef19ab85e16d7a0a02a 0 He was protecting a total of 553,000,000 acres -LRB- 224,000,000 ha -RRB- of federal lands and waters . - S:UNKNOWN_SUBORDINATION This was more than any other U.S. president . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 302/527 # - -'Obama called for Congress to pass legislation reforming health care in the United States, a key campaign promise and a top legislative goal.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/PURPOSE (NULL, PurposePostExtractor) - ├───n───> 'Obama called for Congress .' - └───s───> 'This was to pass legislation reforming health care in the United States , a key campaign promise and a top legislative goal .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# Obama called for Congress to pass legislation reforming health care in the United States, a key campaign promise and a top legislative goal. - -7fa2a8ee0ed840928555bb3de8d44f08 0 Obama called for Congress . - S:PURPOSE This was to pass legislation reforming health care in the United States , a key campaign promise and a top legislative goal . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 303/527 # - -'He proposed an expansion of health insurance coverage to cover the uninsured, to cap premium increases, and to allow people to retain their coverage when they leave or change jobs.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/PURPOSE (NULL, PurposePostExtractor) - ├───n───> SUB/PURPOSE (NULL, PurposePostExtractor) - | ├───n───> 'He proposed an expansion of health insurance coverage .' - | └───s───> 'This was to cover the uninsured .' - └────────s────────> 'This was to cap premium increases , and to allow people to retain their coverage when they leave or change jobs .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# He proposed an expansion of health insurance coverage to cover the uninsured, to cap premium increases, and to allow people to retain their coverage when they leave or change jobs. - -4f87191ffc87438193d26f08e5239841 0 He proposed an expansion of health insurance coverage . - S:PURPOSE This was to cover the uninsured . - S:PURPOSE This was to cap premium increases , and to allow people to retain their coverage when they leave or change jobs . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 304/527 # - -'His proposal was to spend $900 billion over 10 years and include a government insurance plan, also known as the public option, to compete with the corporate insurance sector as a main component to lowering costs and improving quality of health care.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/UNKNOWN_SUBORDINATION ('', ParticipialMiddleExtractor) - ├───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - | ├───s───> 'This was to lowering costs and improving quality of health care .' - | └───n───> 'His proposal was to spend $ 900 billion over 10 years and include a government insurance plan to compete with the corporate insurance sector as a main component .' - └────────s────────> 'A government insurance plan was also known as the public option .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# His proposal was to spend $900 billion over 10 years and include a government insurance plan, also known as the public option, to compete with the corporate insurance sector as a main component to lowering costs and improving quality of health care. - -15d734fbe72d4a15a1391f4a56714477 0 His proposal was to spend $ 900 billion over 10 years and include a government insurance plan to compete with the corporate insurance sector as a main component . - S:UNKNOWN_SUBORDINATION This was to lowering costs and improving quality of health care . - L:UNKNOWN_SUBORDINATION fa4caaa344694cb39625e5bf55e8cecd - -fa4caaa344694cb39625e5bf55e8cecd 1 A government insurance plan was also known as the public option . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 305/527 # - -'It would also make it illegal for insurers to drop sick people or deny them coverage for pre-existing conditions, and require every American to carry health coverage.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> 'It would also make it illegal for insurers to drop sick people or deny them coverage for pre-existing conditions , and require every American to carry health coverage .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# It would also make it illegal for insurers to drop sick people or deny them coverage for pre-existing conditions, and require every American to carry health coverage. - -a8b1a0e9bd7543859243788d6922be31 0 It would also make it illegal for insurers to drop sick people or deny them coverage for pre-existing conditions , and require every American to carry health coverage . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 306/527 # - -'The plan also includes medical spending cuts and taxes on insurance companies that offer expensive plans.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/IDENTIFYING_DEFINITION ('that', RestrictiveRelativeClauseWhoWhichExtractor) - ├───n───> 'The plan also includes medical spending cuts and taxes on insurance companies .' - └───s───> 'Medical spending cuts and taxes on insurance companies offer expensive plans .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# The plan also includes medical spending cuts and taxes on insurance companies that offer expensive plans. - -d6236d441bc047d68ee0915644fa2859 0 The plan also includes medical spending cuts and taxes on insurance companies . - L:IDENTIFYING_DEFINITION af1ef2fe244b4ff88c0acb3bad79594c - -af1ef2fe244b4ff88c0acb3bad79594c 1 Medical spending cuts and taxes on insurance companies offer expensive plans . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 307/527 # - -'Maximum Out-of-Pocket Premium as Percentage of Family Income and federal poverty level, under Patient Protection and Affordable Care Act, starting in 2014 (Source: CRS)' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> 'Maximum Out-of-Pocket Premium as Percentage of Family Income and federal poverty level , under Patient Protection and Affordable Care Act , starting in 2014 -LRB- Source : CRS -RRB-' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# Maximum Out-of-Pocket Premium as Percentage of Family Income and federal poverty level, under Patient Protection and Affordable Care Act, starting in 2014 (Source: CRS) - -5d6b70525a124bbaae3dd82caefee225 0 Maximum Out-of-Pocket Premium as Percentage of Family Income and federal poverty level , under Patient Protection and Affordable Care Act , starting in 2014 -LRB- Source : CRS -RRB- - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 308/527 # - -'On July 14, 2009, House Democratic leaders introduced a 1,017-page plan for overhauling the U.S. health care system, which Obama wanted Congress to approve by the end of 2009.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/DESCRIBING_DEFINITION ('which', NonRestrictiveRelativeClauseWhoWhichExtractor) - ├───n───> CO/UNKNOWN_COORDINATION (NULL, SharedNPPostParticipalExtractor) - | ├───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - | | ├───s───> 'This was on July 14 , 2009 .' - | | └───n───> 'House Democratic leaders introduced a 1,017-page plan .' - | └───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - | ├───s───> 'This was on July 14 , 2009 .' - | └───n───> 'House Democratic leaders were overhauling the U.S. health care system .' - └─────────────s─────────────> 'Obama wanted Congress to approve by the end of 2009 the U.S. health care system .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# On July 14, 2009, House Democratic leaders introduced a 1,017-page plan for overhauling the U.S. health care system, which Obama wanted Congress to approve by the end of 2009. - -c7e2c4fc88134c31948879980b09df36 0 House Democratic leaders introduced a 1,017-page plan . - S:TEMPORAL This was on July 14 , 2009 . - L:DESCRIBING_DEFINITION 6ca54e7be2d547c2af2a625102e857dc - -8890c7fdea6e43929b0482bda7b8f39a 0 House Democratic leaders were overhauling the U.S. health care system . - S:TEMPORAL This was on July 14 , 2009 . - L:DESCRIBING_DEFINITION 6ca54e7be2d547c2af2a625102e857dc - -6ca54e7be2d547c2af2a625102e857dc 1 Obama wanted Congress to approve by the end of 2009 the U.S. health care system . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 309/527 # - -'After much public debate during the Congressional summer recess of 2009, Obama delivered a speech to a joint session of Congress on September 9 where he addressed concerns over the proposals.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/ELABORATION ('where', SubordinationPostExtractor) - ├───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - | ├──────────────────s──────────────────> 'This was to a joint session of Congress .' - | └───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) - | ├─────────────s─────────────> 'This was on September 9 .' - | └───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - | ├───s───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) - | | ├───s───> 'This was during the Congressional summer recess of 2009 .' - | | └───n───> 'This was after much public debate .' - | └────────n────────> 'Obama delivered a speech .' - └──────────────────s──────────────────> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - ├───s───> 'This was over the proposals .' - └───n───> 'He addressed concerns .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# After much public debate during the Congressional summer recess of 2009, Obama delivered a speech to a joint session of Congress on September 9 where he addressed concerns over the proposals. - -8c5587b1cfde45a69e2b2704090bdbe4 0 Obama delivered a speech . - S:TEMPORAL This was on September 9 . - S:UNKNOWN_SUBORDINATION This was to a joint session of Congress . - L:TEMPORAL fc056236cce249ee97d726f36ef8b485 - L:ELABORATION 679fdd85007e42238519c92b637ee31f - -fc056236cce249ee97d726f36ef8b485 1 This was after much public debate . - S:TEMPORAL This was during the Congressional summer recess of 2009 . - -679fdd85007e42238519c92b637ee31f 1 He addressed concerns . - S:UNKNOWN_SUBORDINATION This was over the proposals . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 310/527 # - -'In March 2009, Obama lifted a ban on using federal funds for stem cell research.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> CO/UNKNOWN_COORDINATION (NULL, SharedNPPostParticipalExtractor) - ├───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - | ├───s───> 'This was in March 2009 .' - | └───n───> 'Obama lifted a ban .' - └───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - ├───s───> 'This was in March 2009 .' - └───n───> 'Obama was using federal funds for stem cell research .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# In March 2009, Obama lifted a ban on using federal funds for stem cell research. - -5626d2a9e1b749d28aee9c7b3a392451 0 Obama lifted a ban . - S:TEMPORAL This was in March 2009 . - -dcea904da97c415cace8f2e6465421f7 0 Obama was using federal funds for stem cell research . - S:TEMPORAL This was in March 2009 . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 311/527 # - -'On November 7, 2009, a health care bill featuring the public option was passed in the House.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - ├───s───> 'This was on November 7 , 2009 .' - └───n───> 'A health care bill featuring the public option was passed in the House .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# On November 7, 2009, a health care bill featuring the public option was passed in the House. - -325f9dfa653942fea495cb1d3c931eb9 0 A health care bill featuring the public option was passed in the House . - S:TEMPORAL This was on November 7 , 2009 . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 312/527 # - -'On December 24, 2009, the Senate passed its own bill—without a public option—on a party-line vote of 60–39.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) - ├────────s────────> 'This was on a party-line vote of 60 -- 39 .' - └───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - ├───s───> 'This was on December 24 , 2009 .' - └───n───> 'The Senate passed its own bill -- without a public option -- .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# On December 24, 2009, the Senate passed its own bill—without a public option—on a party-line vote of 60–39. - -fc6004cd3f30453d9c89638ac088be83 0 The Senate passed its own bill -- without a public option -- . - S:TEMPORAL This was on December 24 , 2009 . - S:TEMPORAL This was on a party-line vote of 60 -- 39 . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 313/527 # - -'On March 21, 2010, the Patient Protection and Affordable Care Act (ACA) passed by the Senate in December was passed in the House by a vote of 219 to 212.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) - ├────────s────────> 'This was by a vote of 219 to 212 .' - └───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - ├───s───> 'This was on March 21 , 2010 .' - └───n───> 'The Patient Protection and Affordable Care Act -LRB- ACA -RRB- passed by the Senate in December was passed in the House .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# On March 21, 2010, the Patient Protection and Affordable Care Act (ACA) passed by the Senate in December was passed in the House by a vote of 219 to 212. - -9f2565bd043e41ababf039a02b99786c 0 The Patient Protection and Affordable Care Act -LRB- ACA -RRB- passed by the Senate in December was passed in the House . - S:TEMPORAL This was on March 21 , 2010 . - S:TEMPORAL This was by a vote of 219 to 212 . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 314/527 # - -'Obama signed the bill into law on March 23, 2010.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - ├────────s────────> 'This was into law .' - └───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) - ├───s───> 'This was on March 23 , 2010 .' - └───n───> 'Obama signed the bill .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# Obama signed the bill into law on March 23, 2010. - -248ebb83590a42cf80a6dbd1a34bd2aa 0 Obama signed the bill . - S:TEMPORAL This was on March 23 , 2010 . - S:UNKNOWN_SUBORDINATION This was into law . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 315/527 # - -'The ACA includes health-related provisions, most of which took effect in 2014, including expanding Medicaid eligibility for people making up to 133% of the federal poverty level (FPL) starting in 2014, subsidizing insurance premiums for people making up to 400% of the FPL ($88,000 for family of four in 2010) so their maximum out-of-pocket payment for annual premiums will be from 2% to 9.5% of income, providing incentives for businesses to provide health care benefits, prohibiting denial of coverage and denial of claims based on pre-existing conditions, establishing health insurance exchanges, prohibiting annual coverage caps, and support for medical research.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/IDENTIFYING_DEFINITION ('', RestrictiveParticipialExtractor) - ├───n───> SUB/IDENTIFYING_DEFINITION ('', RestrictiveParticipialExtractor) - | ├───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalMiddleFinalExtractor) - | | ├───s───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - | | | ├─────────────s─────────────> 'This was for people .' - | | | └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - | | | ├────────s────────> 'This was based on pre-existing conditions .' - | | | └───n───> CO/LIST (NULL, PostListNPExtractor) - | | | ├───n───> 'This was including expanding Medicaid eligibility for people , subsidizing insurance premiums , providing incentives for businesses to provide health care benefits , prohibiting denial of coverage and denial of claims , establishing health insurance exchanges , prohibiting annual coverage caps for medical research .' - | | | └───n───> 'This was including expanding Medicaid eligibility for people , subsidizing insurance premiums , providing incentives for businesses to provide health care benefits , prohibiting denial of coverage and denial of claims , establishing health insurance exchanges , prohibiting support for medical research .' - | | └──────────────────n──────────────────> 'The ACA includes health-related provisions , most of which took effect in 2014 .' - | └──────────────────s──────────────────> SUB/ELABORATION ('so', SubordinationPostExtractor) - | ├───n───> 'People were making up to 400 % of the FPL -LRB- $ 88,000 for family of four in 2010 -RRB- .' - | └───s───> 'Their maximum out-of-pocket payment for annual premiums will be from 2 % to 9.5 % of income .' - └───────────────────────s───────────────────────> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) - ├───s───> 'This was starting in 2014 .' - └───n───> 'People were making up to 133 % of the federal poverty level -LRB- FPL -RRB- .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# The ACA includes health-related provisions, most of which took effect in 2014, including expanding Medicaid eligibility for people making up to 133% of the federal poverty level (FPL) starting in 2014, subsidizing insurance premiums for people making up to 400% of the FPL ($88,000 for family of four in 2010) so their maximum out-of-pocket payment for annual premiums will be from 2% to 9.5% of income, providing incentives for businesses to provide health care benefits, prohibiting denial of coverage and denial of claims based on pre-existing conditions, establishing health insurance exchanges, prohibiting annual coverage caps, and support for medical research. - -4a94110676fc429e88146dc9fbb79b95 0 The ACA includes health-related provisions , most of which took effect in 2014 . - L:UNKNOWN_SUBORDINATION b8d0e31afa414c508ae115ef3270018a - L:UNKNOWN_SUBORDINATION 6d413af023d0447b9c83e56a34471997 - L:IDENTIFYING_DEFINITION 66f81764ebc44e5ca4eb08cdb720ec4a - L:IDENTIFYING_DEFINITION b273fd9bb01643f187a9dcab30a1a454 - -b8d0e31afa414c508ae115ef3270018a 1 This was including expanding Medicaid eligibility for people , subsidizing insurance premiums , providing incentives for businesses to provide health care benefits , prohibiting denial of coverage and denial of claims , establishing health insurance exchanges , prohibiting annual coverage caps for medical research . - S:UNKNOWN_SUBORDINATION This was based on pre-existing conditions . - S:UNKNOWN_SUBORDINATION This was for people . - L:LIST 6d413af023d0447b9c83e56a34471997 - -6d413af023d0447b9c83e56a34471997 1 This was including expanding Medicaid eligibility for people , subsidizing insurance premiums , providing incentives for businesses to provide health care benefits , prohibiting denial of coverage and denial of claims , establishing health insurance exchanges , prohibiting support for medical research . - S:UNKNOWN_SUBORDINATION This was based on pre-existing conditions . - S:UNKNOWN_SUBORDINATION This was for people . - L:LIST b8d0e31afa414c508ae115ef3270018a - -66f81764ebc44e5ca4eb08cdb720ec4a 1 People were making up to 400 % of the FPL -LRB- $ 88,000 for family of four in 2010 -RRB- . - L:ELABORATION 45f08f19107948209a615e884bf6d28b - -45f08f19107948209a615e884bf6d28b 2 Their maximum out-of-pocket payment for annual premiums will be from 2 % to 9.5 % of income . - -b273fd9bb01643f187a9dcab30a1a454 1 People were making up to 133 % of the federal poverty level -LRB- FPL -RRB- . - S:TEMPORAL This was starting in 2014 . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 316/527 # - -'According to White House and CBO figures, the maximum share of income that enrollees would have to pay would vary depending on their income relative to the federal poverty level.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalInitialExtractor) - ├───s───> 'This is according to White House and CBO figures .' - └───n───> 'The maximum share of income that enrollees would have to pay would vary depending on their income relative to the federal poverty level .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# According to White House and CBO figures, the maximum share of income that enrollees would have to pay would vary depending on their income relative to the federal poverty level. - -8cecba674cc94bbcb834245b4c02e06b 0 The maximum share of income that enrollees would have to pay would vary depending on their income relative to the federal poverty level . - S:UNKNOWN_SUBORDINATION This is according to White House and CBO figures . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 317/527 # - -'The costs of these provisions are offset by taxes, fees, and cost-saving measures, such as new Medicare taxes for those in high-income brackets, taxes on indoor tanning, cuts to the Medicare Advantage program in favor of traditional Medicare, and fees on medical devices and pharmaceutical companies; there is also a tax penalty for those who do not obtain health insurance, unless they are exempt due to low income or other reasons.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> CO/UNKNOWN_COORDINATION (';', CoordinationExtractor) - ├────────n────────> CO/LIST (NULL, PostListNPExtractor) - | ├───n───> 'The costs of these provisions are offset by taxes .' - | ├───n───> 'The costs of these provisions are offset by fees .' - | └───n───> 'The costs of these provisions are offset by cost-saving measures , such as new Medicare taxes for those in high-income brackets , taxes on indoor tanning , cuts to the Medicare Advantage program in favor of traditional Medicare , and fees on medical devices and pharmaceutical companies .' - └───n───> SUB/CONDITION ('unless', SubordinationPostExtractor) - ├───n───> SUB/IDENTIFYING_DEFINITION ('who', RestrictiveRelativeClauseWhoWhichExtractor) - | ├───n───> 'There is also a tax penalty for those .' - | └───s───> 'Those do not obtain health insurance .' - └───s───> CO/DISJUNCTION (NULL, PostListNPExtractor) - ├───n───> 'They are exempt due to low income .' - └───n───> 'They are exempt due to other reasons .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# The costs of these provisions are offset by taxes, fees, and cost-saving measures, such as new Medicare taxes for those in high-income brackets, taxes on indoor tanning, cuts to the Medicare Advantage program in favor of traditional Medicare, and fees on medical devices and pharmaceutical companies; there is also a tax penalty for those who do not obtain health insurance, unless they are exempt due to low income or other reasons. - -34f691d68a1b40cd9bf5bc2f263e7c08 0 The costs of these provisions are offset by taxes . - L:LIST ac8035e6794d42c7b64807f0657ea5ae - L:LIST 28683108f8d943d08527c4ba40158543 - -ac8035e6794d42c7b64807f0657ea5ae 0 The costs of these provisions are offset by fees . - L:LIST 28683108f8d943d08527c4ba40158543 - L:LIST 34f691d68a1b40cd9bf5bc2f263e7c08 - -28683108f8d943d08527c4ba40158543 0 The costs of these provisions are offset by cost-saving measures , such as new Medicare taxes for those in high-income brackets , taxes on indoor tanning , cuts to the Medicare Advantage program in favor of traditional Medicare , and fees on medical devices and pharmaceutical companies . - L:LIST 34f691d68a1b40cd9bf5bc2f263e7c08 - L:LIST ac8035e6794d42c7b64807f0657ea5ae - -b1e97625fcc241eba08977d2e75819ec 0 There is also a tax penalty for those . - L:IDENTIFYING_DEFINITION 3473d0ee0efc4494b5eb515e52942612 - L:CONDITION 7436a0f05ef74ce1951b5c7996fda1f3 - L:CONDITION 7028ce08c43c4e32bf86cea1d346f765 - -3473d0ee0efc4494b5eb515e52942612 1 Those do not obtain health insurance . - -7436a0f05ef74ce1951b5c7996fda1f3 1 They are exempt due to low income . - L:DISJUNCTION 7028ce08c43c4e32bf86cea1d346f765 - -7028ce08c43c4e32bf86cea1d346f765 1 They are exempt due to other reasons . - L:DISJUNCTION 7436a0f05ef74ce1951b5c7996fda1f3 - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 318/527 # - -'In March 2010, the CBO estimated that the net effect of both laws will be a reduction in the federal deficit by $143 billion over the first decade.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/ATTRIBUTION (NULL, SubordinationPostAttributionExtractor2) - ├────────s────────> 'This was what the CBO estimated in March 2010 .' - └───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) - ├───s───> 'This is by $ 143 billion over the first decade .' - └───n───> 'The net effect of both laws will be a reduction in the federal deficit .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# In March 2010, the CBO estimated that the net effect of both laws will be a reduction in the federal deficit by $143 billion over the first decade. - -ba63761d36de42f1ac9e2484bcfc18ee 0 The net effect of both laws will be a reduction in the federal deficit . - S:TEMPORAL This is by $ 143 billion over the first decade . - S:ATTRIBUTION This was what the CBO estimated in March 2010 . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 319/527 # - -'The law faced several legal challenges, primarily based on the argument that an individual mandate requiring Americans to buy health insurance was unconstitutional.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/UNKNOWN_SUBORDINATION ('that', SubordinationPostExtractor) - ├───n───> SUB/UNKNOWN_SUBORDINATION ('', ParticipialMiddleExtractor) - | ├───n───> 'The law faced several legal challenges .' - | └───s───> 'Several legal challenges were primarily based on the argument .' - └────────s────────> 'An individual mandate requiring Americans to buy health insurance was unconstitutional .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# The law faced several legal challenges, primarily based on the argument that an individual mandate requiring Americans to buy health insurance was unconstitutional. - -f9604f833e47401294bb99921798e2a3 0 The law faced several legal challenges . - L:UNKNOWN_SUBORDINATION 7c6ec3c144864250b6a1f01f57e0bd08 - L:UNKNOWN_SUBORDINATION 097fdca6902e40c2b4ff8ae85833149f - -7c6ec3c144864250b6a1f01f57e0bd08 1 Several legal challenges were primarily based on the argument . - -097fdca6902e40c2b4ff8ae85833149f 1 An individual mandate requiring Americans to buy health insurance was unconstitutional . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 320/527 # - -'On June 28, 2012, the Supreme Court ruled by a 5–4 vote in National Federation of Independent Business v. Sebelius that the mandate was constitutional under the U.S. Congress's taxing authority.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/UNKNOWN_SUBORDINATION ('that', SubordinationPostExtractor) - ├───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - | ├───s───> 'This was on June 28 , 2012 .' - | └───n───> 'The Supreme Court ruled by a 5 -- 4 vote in National Federation of Independent Business v. Sebelius .' - └────────s────────> 'The mandate was constitutional under the U.S. Congress 's taxing authority .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# On June 28, 2012, the Supreme Court ruled by a 5–4 vote in National Federation of Independent Business v. Sebelius that the mandate was constitutional under the U.S. Congress's taxing authority. - -06f148051b0e49af9c1347e486174b6f 0 The Supreme Court ruled by a 5 -- 4 vote in National Federation of Independent Business v. Sebelius . - S:TEMPORAL This was on June 28 , 2012 . - L:UNKNOWN_SUBORDINATION f78d60474f214c8abed39d2e39daa6c3 - -f78d60474f214c8abed39d2e39daa6c3 1 The mandate was constitutional under the U.S. Congress 's taxing authority . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 321/527 # - -'In Burwell v. Hobby Lobby the Court ruled that closely-held for-profit corporations could be exempt on religious grounds under the Religious Freedom Restoration Act from regulations adopted under the ACA that would have required them to pay for insurance that covered certain contraceptives.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/UNKNOWN_SUBORDINATION ('that', SubordinationPostExtractor) - ├─────────────n─────────────> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalInitialExtractor) - | ├───s───> 'This was in Burwell v. Hobby Lobby .' - | └───n───> 'The Court ruled .' - └───s───> SUB/IDENTIFYING_DEFINITION ('that', RestrictiveRelativeClauseWhoWhichExtractor) - ├───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - | ├───s───> SUB/IDENTIFYING_DEFINITION ('', RestrictiveParticipialExtractor) - | | ├───n───> 'This was from regulations .' - | | └───s───> 'Regulations were adopted under the ACA .' - | └────────n────────> 'Closely-held for-profit corporations could be exempt on religious grounds under the Religious Freedom Restoration Act .' - └────────s────────> SUB/IDENTIFYING_DEFINITION ('that', RestrictiveRelativeClauseWhoWhichExtractor) - ├───n───> 'The ACA would have required them to pay for insurance .' - └───s───> 'Insurance covered certain contraceptives .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# In Burwell v. Hobby Lobby the Court ruled that closely-held for-profit corporations could be exempt on religious grounds under the Religious Freedom Restoration Act from regulations adopted under the ACA that would have required them to pay for insurance that covered certain contraceptives. - -b7f59e18993e43ffb0e56ccf6347b63c 0 The Court ruled . - S:UNKNOWN_SUBORDINATION This was in Burwell v. Hobby Lobby . - L:UNKNOWN_SUBORDINATION d5568eb1ed4e453cb8e9f8766ecae14a - -d5568eb1ed4e453cb8e9f8766ecae14a 1 Closely-held for-profit corporations could be exempt on religious grounds under the Religious Freedom Restoration Act . - L:UNKNOWN_SUBORDINATION 78db930e4a07454b83d414b83b3abc49 - L:IDENTIFYING_DEFINITION 6969e23c48834deb8734d73b0db0dc2f - -78db930e4a07454b83d414b83b3abc49 2 This was from regulations . - L:IDENTIFYING_DEFINITION 7296ca75cf404c17a7b19598b8e3c88f - -7296ca75cf404c17a7b19598b8e3c88f 3 Regulations were adopted under the ACA . - -6969e23c48834deb8734d73b0db0dc2f 2 The ACA would have required them to pay for insurance . - L:IDENTIFYING_DEFINITION d4ffe30fe5d7499190fafe65357eb29d - -d4ffe30fe5d7499190fafe65357eb29d 3 Insurance covered certain contraceptives . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 322/527 # - -'In June 2015, the Court ruled 6–3 in King v. Burwell that subsidies to help individuals and families purchase health insurance were authorized for those doing so on both the federal exchange and state exchanges, not only those purchasing plans established by the State, as the statute reads.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/UNKNOWN_SUBORDINATION ('that', SubordinationPostExtractor) - ├───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - | ├───s───> 'This was in June 2015 .' - | └───n───> 'The Court ruled 6 -- 3 in King v. Burwell .' - └────────s────────> 'Subsidies to help individuals and families purchase health insurance were authorized for those doing so on both the federal exchange and state exchanges , not only those purchasing plans established by the State , as the statute reads .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# In June 2015, the Court ruled 6–3 in King v. Burwell that subsidies to help individuals and families purchase health insurance were authorized for those doing so on both the federal exchange and state exchanges, not only those purchasing plans established by the State, as the statute reads. - -26d01c8c113e4e3f90f83ca629e43d74 0 The Court ruled 6 -- 3 in King v. Burwell . - S:TEMPORAL This was in June 2015 . - L:UNKNOWN_SUBORDINATION dde7a05ffb38400f924127ea2a0347ca - -dde7a05ffb38400f924127ea2a0347ca 1 Subsidies to help individuals and families purchase health insurance were authorized for those doing so on both the federal exchange and state exchanges , not only those purchasing plans established by the State , as the statute reads . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 323/527 # - -'Prior to June 2014, Obama offered substantial support for a broadly-based All of the above approach to domestic energy policy, which Obama has maintained since his first term and which he last confirmed at his State of the Union speech in January 2014 to a mixed reception by both parties.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/ATTRIBUTION (NULL, SubordinationPostAttributionExtractor) - ├───s───> 'This was what Obama offered substantial support for a broadly-based All of the above approach to domestic energy policy prior to June 2014 .' - └───n───> 'Which Obama has maintained since his first term and which he last confirmed at his State of the Union speech in January 2014 to a mixed reception by both parties .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# Prior to June 2014, Obama offered substantial support for a broadly-based All of the above approach to domestic energy policy, which Obama has maintained since his first term and which he last confirmed at his State of the Union speech in January 2014 to a mixed reception by both parties. - -5bcbeb1bc8b54295a35e80013f9ba750 0 Which Obama has maintained since his first term and which he last confirmed at his State of the Union speech in January 2014 to a mixed reception by both parties . - S:ATTRIBUTION This was what Obama offered substantial support for a broadly-based All of the above approach to domestic energy policy prior to June 2014 . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 324/527 # - -'In June 2014, Obama made indications that his administration would consider a shift towards an energy policy more closely tuned to the manufacturing industry and its impact on the domestic economy.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/UNKNOWN_SUBORDINATION ('that', SubordinationPostExtractor) - ├────────n────────> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - | ├───s───> 'This was in June 2014 .' - | └───n───> 'Obama made indications .' - └───s───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - ├───s───> CO/LIST (NULL, PostListNPExtractor) - | ├───n───> 'This was to the manufacturing industry .' - | └───n───> 'This was to its impact on the domestic economy .' - └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - ├───s───> 'This was towards an energy policy more closely tuned .' - └───n───> 'His administration would consider a shift .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# In June 2014, Obama made indications that his administration would consider a shift towards an energy policy more closely tuned to the manufacturing industry and its impact on the domestic economy. - -8c46495ee4c043ae97d0275ecd5102ef 0 Obama made indications . - S:TEMPORAL This was in June 2014 . - L:UNKNOWN_SUBORDINATION 177e6620094343e3925a4ed36152652c - -177e6620094343e3925a4ed36152652c 1 His administration would consider a shift . - S:UNKNOWN_SUBORDINATION This was towards an energy policy more closely tuned . - L:UNKNOWN_SUBORDINATION d9056b814fa44659bc0bc7680c3de6af - L:UNKNOWN_SUBORDINATION 797be43281ba4130ac16bcb0bb43b090 - -d9056b814fa44659bc0bc7680c3de6af 2 This was to the manufacturing industry . - L:LIST 797be43281ba4130ac16bcb0bb43b090 - -797be43281ba4130ac16bcb0bb43b090 2 This was to its impact on the domestic economy . - L:LIST d9056b814fa44659bc0bc7680c3de6af - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 325/527 # - -'Obama's approach of selectively combining regulation and incentive to various issues in the domestic energy policy, such as coal mining and oil fracking, has received mixed commentary for not being as responsive to the needs of the domestic manufacturing sector as needed, following claims that the domestic manufacturing sector utilizes as much as a third of the nation's available energy resources.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/UNKNOWN_SUBORDINATION ('that', SubordinationPostExtractor) - ├───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - | ├─────────────s─────────────> 'This was for not being as responsive to the needs of the domestic manufacturing sector as needed , following claims .' - | └───n───> SUB/IDENTIFYING_DEFINITION ('', RestrictiveParticipialExtractor) - | ├───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalMiddleFinalExtractor) - | | ├───s───> 'This was such as coal mining and oil .' - | | └───n───> 'Obama 's approach of selectively combining regulation and incentive to various issues in the domestic energy policy has received mixed commentary .' - | └────────s────────> 'Coal mining and oil were fracking .' - └──────────────────s──────────────────> 'The domestic manufacturing sector utilizes as much as a third of the nation 's available energy resources .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# Obama's approach of selectively combining regulation and incentive to various issues in the domestic energy policy, such as coal mining and oil fracking, has received mixed commentary for not being as responsive to the needs of the domestic manufacturing sector as needed, following claims that the domestic manufacturing sector utilizes as much as a third of the nation's available energy resources. - -f2fc2395923c43409c045db14d2575d6 0 Obama 's approach of selectively combining regulation and incentive to various issues in the domestic energy policy has received mixed commentary . - S:UNKNOWN_SUBORDINATION This was such as coal mining and oil . - S:UNKNOWN_SUBORDINATION This was for not being as responsive to the needs of the domestic manufacturing sector as needed , following claims . - L:IDENTIFYING_DEFINITION d0f6cfc81638403b9a518dad8b0cf8c5 - L:UNKNOWN_SUBORDINATION e0c262863c044881961726e426d30ad1 - -d0f6cfc81638403b9a518dad8b0cf8c5 1 Coal mining and oil were fracking . - -e0c262863c044881961726e426d30ad1 1 The domestic manufacturing sector utilizes as much as a third of the nation 's available energy resources . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 326/527 # - -'On January 16, 2013, one month after the Sandy Hook Elementary School shooting, Obama signed 23 executive orders and outlined a series of sweeping proposals regarding gun control.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> CO/LIST ('and', SharedNPPostCoordinationExtractor) - ├───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - | ├─────────────s─────────────> 'This was on January 16 , 2013 , one .' - | └───n───> CO/UNKNOWN_COORDINATION ('', SharedNPPreParticipalExtractor) - | ├───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - | | ├───s───> 'This was after the Sandy Hook Elementary School shooting .' - | | └───n───> 'Obama was month .' - | └────────n────────> 'Obama signed 23 executive orders .' - └───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - ├─────────────s─────────────> 'This was on January 16 , 2013 , one .' - └───n───> CO/UNKNOWN_COORDINATION ('', SharedNPPreParticipalExtractor) - ├───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - | ├───s───> 'This was after the Sandy Hook Elementary School shooting .' - | └───n───> 'Obama was month .' - └────────n────────> 'Obama outlined a series of sweeping proposals regarding gun control .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# On January 16, 2013, one month after the Sandy Hook Elementary School shooting, Obama signed 23 executive orders and outlined a series of sweeping proposals regarding gun control. - -116467ce9f5448f68665d982084cbb4b 0 Obama was month . - S:UNKNOWN_SUBORDINATION This was after the Sandy Hook Elementary School shooting . - S:TEMPORAL This was on January 16 , 2013 , one . - L:LIST 735f39c79b6548bcb35fd0330dfc9478 - L:LIST eb2638941d5a478f901970883fb0d055 - -022b957d77714a6ba9240db45a1ce4e2 0 Obama signed 23 executive orders . - S:TEMPORAL This was on January 16 , 2013 , one . - L:LIST 735f39c79b6548bcb35fd0330dfc9478 - L:LIST eb2638941d5a478f901970883fb0d055 - -735f39c79b6548bcb35fd0330dfc9478 0 Obama was month . - S:UNKNOWN_SUBORDINATION This was after the Sandy Hook Elementary School shooting . - S:TEMPORAL This was on January 16 , 2013 , one . - L:LIST 116467ce9f5448f68665d982084cbb4b - L:LIST 022b957d77714a6ba9240db45a1ce4e2 - -eb2638941d5a478f901970883fb0d055 0 Obama outlined a series of sweeping proposals regarding gun control . - S:TEMPORAL This was on January 16 , 2013 , one . - L:LIST 116467ce9f5448f68665d982084cbb4b - L:LIST 022b957d77714a6ba9240db45a1ce4e2 - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 327/527 # - -'He urged Congress to reintroduce an expired ban on military-style assault weapons, such as those used in several recent mass shootings, impose limits on ammunition magazines to 10 rounds, introduce background checks on all gun sales, pass a ban on possession and sale of armor-piercing bullets, introduce harsher penalties for gun-traffickers, especially unlicensed dealers who buy arms for criminals and approving the appointment of the head of the federal Bureau of Alcohol, Tobacco, Firearms and Explosives for the first time since 2006.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/ELABORATION (NULL, NonRestrictiveAppositionExtractor) - ├─────────────────────────────────s─────────────────────────────────> SUB/IDENTIFYING_DEFINITION ('who', RestrictiveRelativeClauseWhoWhichExtractor) - | ├───n───> 'Gun-traffickers were especially unlicensed dealers .' - | └───s───> 'Unlicensed dealers buy arms for criminals .' - └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - ├───────────────────────s───────────────────────> SUB/IDENTIFYING_DEFINITION ('', RestrictiveParticipialExtractor) - | ├───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalMiddleFinalExtractor) - | | ├───s───> 'This was such as those .' - | | └───n───> 'This was on military-style assault weapons .' - | └────────s────────> 'Those was used in several recent mass shootings .' - └───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) - ├────────────────────────────s────────────────────────────> 'This was to 10 rounds .' - └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - ├───────────────────────s───────────────────────> 'This was on ammunition magazines .' - └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - ├──────────────────s──────────────────> 'This was on all gun sales .' - └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - ├─────────────s─────────────> 'This was on possession and sale of armor-piercing bullets .' - └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - ├────────s────────> 'This was for gun-traffickers .' - └───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) - ├───s───> 'This was since 2006 .' - └───n───> 'He urged Congress to reintroduce an expired ban , impose limits , introduce background checks , pass a ban , introduce harsher penalties and approving the appointment of the head of the federal Bureau of Alcohol , Tobacco , Firearms and Explosives for the first time .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# He urged Congress to reintroduce an expired ban on military-style assault weapons, such as those used in several recent mass shootings, impose limits on ammunition magazines to 10 rounds, introduce background checks on all gun sales, pass a ban on possession and sale of armor-piercing bullets, introduce harsher penalties for gun-traffickers, especially unlicensed dealers who buy arms for criminals and approving the appointment of the head of the federal Bureau of Alcohol, Tobacco, Firearms and Explosives for the first time since 2006. - -ae3e99de6ea246a4844c880b85029890 0 He urged Congress to reintroduce an expired ban , impose limits , introduce background checks , pass a ban , introduce harsher penalties and approving the appointment of the head of the federal Bureau of Alcohol , Tobacco , Firearms and Explosives for the first time . - S:TEMPORAL This was since 2006 . - S:UNKNOWN_SUBORDINATION This was for gun-traffickers . - S:UNKNOWN_SUBORDINATION This was on possession and sale of armor-piercing bullets . - S:UNKNOWN_SUBORDINATION This was on all gun sales . - S:UNKNOWN_SUBORDINATION This was on ammunition magazines . - S:TEMPORAL This was to 10 rounds . - L:UNKNOWN_SUBORDINATION 38f1e0917acc431cae0f97559d7a1933 - L:ELABORATION 32b8c87729c04244a4f6fbdce763f87b - -38f1e0917acc431cae0f97559d7a1933 1 This was on military-style assault weapons . - S:UNKNOWN_SUBORDINATION This was such as those . - L:IDENTIFYING_DEFINITION a29ed58a50e24f979578332405c7875c - -a29ed58a50e24f979578332405c7875c 2 Those was used in several recent mass shootings . - -32b8c87729c04244a4f6fbdce763f87b 1 Gun-traffickers were especially unlicensed dealers . - L:IDENTIFYING_DEFINITION 0f10ceb18f2441719e76a568be976c12 - -0f10ceb18f2441719e76a568be976c12 2 Unlicensed dealers buy arms for criminals . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 328/527 # - -'On January 5, 2016, Obama announced new executive actions extending background check requirements to more gun sellers.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> CO/UNKNOWN_COORDINATION (NULL, SharedNPPostParticipalExtractor) - ├────────n────────> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - | ├───s───> 'This was on January 5 , 2016 .' - | └───n───> 'Obama announced new executive actions .' - └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - ├────────s────────> 'This was to more gun sellers .' - └───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - ├───s───> 'This was on January 5 , 2016 .' - └───n───> 'Obama was extending background check requirements .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# On January 5, 2016, Obama announced new executive actions extending background check requirements to more gun sellers. - -71e6a8dfc8844b24aa9563bda7d4fe50 0 Obama announced new executive actions . - S:TEMPORAL This was on January 5 , 2016 . - -402c441c159442f4bf875bbea92a1aa7 0 Obama was extending background check requirements . - S:TEMPORAL This was on January 5 , 2016 . - S:UNKNOWN_SUBORDINATION This was to more gun sellers . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 329/527 # - -'In a 2016 editorial in the New York Times, Obama compared the struggle for what he termed common-sense gun reform to women's suffrage and other civil rights movements in American history.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - ├────────s────────> 'This was in a 2016 editorial in the New York Times .' - └───n───> CO/LIST (NULL, PostListNPExtractor) - ├───n───> 'Obama compared the struggle for what he termed common-sense gun reform to women 's suffrage .' - └───n───> 'Obama compared the struggle for what he termed common-sense gun reform to other civil rights movements in American history .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# In a 2016 editorial in the New York Times, Obama compared the struggle for what he termed common-sense gun reform to women's suffrage and other civil rights movements in American history. - -153be660f6944924b53f7bfc7785bc23 0 Obama compared the struggle for what he termed common-sense gun reform to women 's suffrage . - S:TEMPORAL This was in a 2016 editorial in the New York Times . - L:LIST 0408291b39834833bc8889c367f52e6a - -0408291b39834833bc8889c367f52e6a 0 Obama compared the struggle for what he termed common-sense gun reform to other civil rights movements in American history . - S:TEMPORAL This was in a 2016 editorial in the New York Times . - L:LIST 153be660f6944924b53f7bfc7785bc23 - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 330/527 # - -'Main articles: United States House of Representatives elections, 2010 and United States Senate elections, 2010' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> 'Main articles : United States House of Representatives elections , 2010 and United States Senate elections , 2010' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# Main articles: United States House of Representatives elections, 2010 and United States Senate elections, 2010 - -7e239e8cc5b449dea530ea6a52cd0b45 0 Main articles : United States House of Representatives elections , 2010 and United States Senate elections , 2010 - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 331/527 # - -'Obama called the November 2, 2010 election, where the Democratic Party lost 63 seats in, and control of, the House of Representatives, humbling and a shellacking.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/SPATIAL (NULL, NonRestrictiveRelativeClauseWhereExtractor) - ├────────n────────> CO/LIST (NULL, PostListNPExtractor) - | ├───n───> 'Obama called the November 2 , 2010 election the House of Representatives .' - | ├───n───> 'Obama called the November 2 , 2010 election the House of humbling .' - | └───n───> 'Obama called the November 2 , 2010 election the House of a shellacking .' - └───s───> CO/LIST (', and', SharedNPPostCoordinationExtractor) - ├───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - | ├───s───> 'This was in .' - | └───n───> 'The Democratic Party lost 63 seats .' - └────────n────────> 'The Democratic Party control of .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# Obama called the November 2, 2010 election, where the Democratic Party lost 63 seats in, and control of, the House of Representatives, humbling and a shellacking. - -b948adbaa6614b669bb5f32dc033496a 0 Obama called the November 2 , 2010 election the House of Representatives . - L:LIST 1225620fbe084f5aac2b9a6ac84a5552 - L:LIST 3cafec7b699c49dbb05459b966c23973 - L:SPATIAL 69188dd5ad664806a91fb8b379ab68cf - L:SPATIAL 0e3665946d924d0c8e87b235eecd6fb4 - -1225620fbe084f5aac2b9a6ac84a5552 0 Obama called the November 2 , 2010 election the House of humbling . - L:LIST 3cafec7b699c49dbb05459b966c23973 - L:LIST b948adbaa6614b669bb5f32dc033496a - L:SPATIAL 69188dd5ad664806a91fb8b379ab68cf - L:SPATIAL 0e3665946d924d0c8e87b235eecd6fb4 - -3cafec7b699c49dbb05459b966c23973 0 Obama called the November 2 , 2010 election the House of a shellacking . - L:LIST b948adbaa6614b669bb5f32dc033496a - L:LIST 1225620fbe084f5aac2b9a6ac84a5552 - L:SPATIAL 69188dd5ad664806a91fb8b379ab68cf - L:SPATIAL 0e3665946d924d0c8e87b235eecd6fb4 - -69188dd5ad664806a91fb8b379ab68cf 1 The Democratic Party lost 63 seats . - S:UNKNOWN_SUBORDINATION This was in . - L:LIST 0e3665946d924d0c8e87b235eecd6fb4 - -0e3665946d924d0c8e87b235eecd6fb4 1 The Democratic Party control of . - L:LIST 69188dd5ad664806a91fb8b379ab68cf - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 332/527 # - -'He said that the results came because not enough Americans had felt the effects of the economic recovery.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/ATTRIBUTION (NULL, SubordinationPostAttributionExtractor2) - ├────────s────────> 'This was what he said .' - └───n───> SUB/CAUSE ('because', SubordinationPostExtractor) - ├───n───> 'The results came .' - └───s───> 'Not enough Americans had felt the effects of the economic recovery .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# He said that the results came because not enough Americans had felt the effects of the economic recovery. - -fd79e89c7eea4be6bbe0c4dbb310b92c 0 The results came . - S:ATTRIBUTION This was what he said . - L:CAUSE 6f0edd85338b4975a2d7bbb833f37d97 - -6f0edd85338b4975a2d7bbb833f37d97 1 Not enough Americans had felt the effects of the economic recovery . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 333/527 # - -'On November 10, 2014, President Obama recommended the Federal Communications Commission reclassify broadband Internet service as a telecommunications service in order to preserve net neutrality.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) - ├──────────────────s──────────────────> 'Obama was President .' - └───n───> SUB/UNKNOWN_SUBORDINATION ('', SubordinationPostExtractor) - ├────────n────────> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - | ├───s───> 'This was on November 10 , 2014 .' - | └───n───> 'Obama recommended .' - └───s───> SUB/PURPOSE (NULL, SubordinationPostPurposeExtractor) - ├───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - | ├───s───> 'This was as a telecommunications service .' - | └───n───> 'The Federal Communications Commission reclassify broadband Internet service .' - └────────s────────> 'This was to preserve net neutrality .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# On November 10, 2014, President Obama recommended the Federal Communications Commission reclassify broadband Internet service as a telecommunications service in order to preserve net neutrality. - -1c03c9d6d2594227bde00ded0479126f 0 Obama recommended . - S:TEMPORAL This was on November 10 , 2014 . - L:UNKNOWN_SUBORDINATION af08c85e7628481290ef6f3675960da3 - L:ELABORATION a191f67bc7dd44268573e34fb89c61a3 - -af08c85e7628481290ef6f3675960da3 1 The Federal Communications Commission reclassify broadband Internet service . - S:UNKNOWN_SUBORDINATION This was as a telecommunications service . - S:PURPOSE This was to preserve net neutrality . - -a191f67bc7dd44268573e34fb89c61a3 1 Obama was President . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 334/527 # - -'On February 12, 2013, President Obama signed Executive Order 13636, Improving Critical Infrastructure Cybersecurity.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) - ├─────────────s─────────────> 'Obama was President .' - └───n───> CO/UNKNOWN_COORDINATION (NULL, SharedNPPostParticipalExtractor) - ├───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - | ├───s───> 'This was on February 12 , 2013 .' - | └───n───> 'Obama signed Executive Order 13636 .' - └───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - ├───s───> 'This was on February 12 , 2013 .' - └───n───> 'Obama was improving Critical Infrastructure Cybersecurity .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# On February 12, 2013, President Obama signed Executive Order 13636, Improving Critical Infrastructure Cybersecurity. - -9d699780eaea44f2b5cbda65aea791c7 0 Obama signed Executive Order 13636 . - S:TEMPORAL This was on February 12 , 2013 . - L:ELABORATION 3b3d1df4226249fd8e187d837d11684e - -4363f8f7af6147249f87fec8e2d0def2 0 Obama was improving Critical Infrastructure Cybersecurity . - S:TEMPORAL This was on February 12 , 2013 . - L:ELABORATION 3b3d1df4226249fd8e187d837d11684e - -3b3d1df4226249fd8e187d837d11684e 1 Obama was President . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 335/527 # - -'In February and March 2009, Vice President Joe Biden and Secretary of State Hillary Clinton made separate overseas trips to announce a new era in U.S. foreign relations with Russia and Europe, using the terms break and reset to signal major changes from the policies of the preceding administration.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) - ├───────────────────────s───────────────────────> 'Joe Biden was Vice President .' - └───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) - ├──────────────────s──────────────────> 'Hillary Clinton was Joe Biden and Secretary of State .' - └───n───> SUB/PURPOSE (NULL, PurposePostExtractor) - ├───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - | ├───s───> CO/LIST (NULL, PostListNPExtractor) - | | ├───n───> 'This was in February .' - | | └───n───> 'This was in March 2009 .' - | └────────n────────> 'Hillary Clinton made separate overseas trips .' - └─────────────s─────────────> 'This was to announce a new era in U.S. foreign relations with Russia and Europe , using the terms break and reset to signal major changes from the policies of the preceding administration .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# In February and March 2009, Vice President Joe Biden and Secretary of State Hillary Clinton made separate overseas trips to announce a new era in U.S. foreign relations with Russia and Europe, using the terms break and reset to signal major changes from the policies of the preceding administration. - -61a4fd9d3f9242b089f5c0665dd982c8 0 Hillary Clinton made separate overseas trips . - S:PURPOSE This was to announce a new era in U.S. foreign relations with Russia and Europe , using the terms break and reset to signal major changes from the policies of the preceding administration . - L:TEMPORAL 1471d3481b344b248c9ad432a46cf0da - L:TEMPORAL 19ffa4e4469746ae9a633bba4cc4aea1 - L:ELABORATION c85df32ecc1d4b67b1b9e434e574b50b - L:ELABORATION 96b9d451e8f4454d8bbfad2b52dece58 - -1471d3481b344b248c9ad432a46cf0da 1 This was in February . - L:LIST 19ffa4e4469746ae9a633bba4cc4aea1 - -19ffa4e4469746ae9a633bba4cc4aea1 1 This was in March 2009 . - L:LIST 1471d3481b344b248c9ad432a46cf0da - -c85df32ecc1d4b67b1b9e434e574b50b 1 Hillary Clinton was Joe Biden and Secretary of State . - -96b9d451e8f4454d8bbfad2b52dece58 1 Joe Biden was Vice President . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 336/527 # - -'Obama attempted to reach out to Arab leaders by granting his first interview to an Arab satellite TV network, Al Arabiya.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/ELABORATION (NULL, NonRestrictiveAppositionExtractor) - ├───s───> 'Al Arabiya was an Arab satellite TV network .' - └───n───> 'Obama attempted to reach out to Arab leaders by granting his first interview to an Arab satellite TV network .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# Obama attempted to reach out to Arab leaders by granting his first interview to an Arab satellite TV network, Al Arabiya. - -c40d982fc9854ff1aba1ddaba0503afc 0 Obama attempted to reach out to Arab leaders by granting his first interview to an Arab satellite TV network . - L:ELABORATION 500fd412cceb48aeb6d9311cab956fcf - -500fd412cceb48aeb6d9311cab956fcf 1 Al Arabiya was an Arab satellite TV network . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 337/527 # - -'On March 19, Obama continued his outreach to the Muslim world, releasing a New Year's video message to the people and government of Iran.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> CO/UNKNOWN_COORDINATION (NULL, SharedNPPostParticipalExtractor) - ├───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - | ├────────s────────> 'This was to the Muslim world .' - | └───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - | ├───s───> 'This was on March 19 .' - | └───n───> 'Obama continued his outreach .' - └───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) - ├────────s────────> 'This was to the people and government of Iran .' - └───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - ├───s───> 'This was on March 19 .' - └───n───> 'Obama was releasing a New Year 's video message .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# On March 19, Obama continued his outreach to the Muslim world, releasing a New Year's video message to the people and government of Iran. - -e31b521ac8c94cf88e5c74ffa9bbd220 0 Obama continued his outreach . - S:TEMPORAL This was on March 19 . - S:UNKNOWN_SUBORDINATION This was to the Muslim world . - -2e4c90ada5c8490db5a9e6fbe6b24b0d 0 Obama was releasing a New Year 's video message . - S:TEMPORAL This was on March 19 . - S:SPATIAL This was to the people and government of Iran . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 338/527 # - -'In April, Obama gave a speech in Ankara, Turkey, which was well received by many Arab governments.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/DESCRIBING_DEFINITION ('which', NonRestrictiveRelativeClauseWhoWhichExtractor) - ├───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) - | ├────────s────────> 'This was in Ankara , Turkey .' - | └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalInitialExtractor) - | ├───s───> 'This was in April .' - | └───n───> 'Obama gave a speech .' - └─────────────s─────────────> 'Turkey was well received by many Arab governments .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# In April, Obama gave a speech in Ankara, Turkey, which was well received by many Arab governments. - -8a2ad311bf7040ca82fa3905da79d00f 0 Obama gave a speech . - S:UNKNOWN_SUBORDINATION This was in April . - S:SPATIAL This was in Ankara , Turkey . - L:DESCRIBING_DEFINITION 32cb3676aba44800861ee1e15e9c4d64 - -32cb3676aba44800861ee1e15e9c4d64 1 Turkey was well received by many Arab governments . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 339/527 # - -'On June 4, 2009, Obama delivered a speech at Cairo University in Egypt calling for A New Beginning in relations between the Islamic world and the United States and promoting Middle East peace.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> CO/UNKNOWN_COORDINATION (NULL, SharedNPPostParticipalExtractor) - ├───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - | ├─────────────s─────────────> 'This was at Cairo University .' - | └───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) - | ├────────s────────> 'This was in Egypt .' - | └───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - | ├───s───> 'This was on June 4 , 2009 .' - | └───n───> 'Obama delivered a speech .' - └───n───> CO/LIST ('and', SharedNPPostCoordinationExtractor) - ├───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) - | ├───s───> CO/LIST (NULL, PostListNPExtractor) - | | ├───n───> 'This was beginning in relations between the Islamic world .' - | | └───n───> 'This was beginning in relations between the United States .' - | └───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - | ├───s───> 'This was on June 4 , 2009 .' - | └───n───> 'Obama was calling for A New .' - └────────n────────> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - ├───s───> 'This was on June 4 , 2009 .' - └───n───> 'Obama was promoting Middle East peace .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# On June 4, 2009, Obama delivered a speech at Cairo University in Egypt calling for A New Beginning in relations between the Islamic world and the United States and promoting Middle East peace. - -c939cb2f260a4921a6bc286643ad5226 0 Obama delivered a speech . - S:TEMPORAL This was on June 4 , 2009 . - S:SPATIAL This was in Egypt . - S:UNKNOWN_SUBORDINATION This was at Cairo University . - -d7c221fbb4ee442d9bef7f67773dff08 0 Obama was calling for A New . - S:TEMPORAL This was on June 4 , 2009 . - L:SPATIAL a574a7528cc94c82a8f48de0f7efae83 - L:SPATIAL 84e4207005e14b9799f37950d194c700 - L:LIST 438982ee478c4f648f0ac6021568ab5d - -a574a7528cc94c82a8f48de0f7efae83 1 This was beginning in relations between the Islamic world . - L:LIST 84e4207005e14b9799f37950d194c700 - -84e4207005e14b9799f37950d194c700 1 This was beginning in relations between the United States . - L:LIST a574a7528cc94c82a8f48de0f7efae83 - -438982ee478c4f648f0ac6021568ab5d 0 Obama was promoting Middle East peace . - S:TEMPORAL This was on June 4 , 2009 . - L:LIST d7c221fbb4ee442d9bef7f67773dff08 - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 340/527 # - -'On June 26, 2009, Obama responded to the Iranian government's actions towards protesters following Iran's 2009 presidential election by saying: The violence perpetrated against them is outrageous.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> CO/UNKNOWN_COORDINATION (':', CoordinationExtractor) - ├───n───> CO/UNKNOWN_COORDINATION (NULL, SharedNPPostParticipalExtractor) - | ├───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) - | | ├────────s────────> 'This was towards protesters following Iran 's 2009 presidential election .' - | | └───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - | | ├───s───> 'This was on June 26 , 2009 .' - | | └───n───> 'Obama responded to the Iranian government 's actions .' - | └────────n────────> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - | ├───s───> 'This was on June 26 , 2009 .' - | └───n───> 'Obama was saying .' - └──────────────────n──────────────────> 'The violence perpetrated against them is outrageous .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# On June 26, 2009, Obama responded to the Iranian government's actions towards protesters following Iran's 2009 presidential election by saying: The violence perpetrated against them is outrageous. - -fde58f851fb74893bc0a8b474f691361 0 Obama responded to the Iranian government 's actions . - S:TEMPORAL This was on June 26 , 2009 . - S:TEMPORAL This was towards protesters following Iran 's 2009 presidential election . - -c5c7b724bf4240a6a120813c2b92c7d8 0 Obama was saying . - S:TEMPORAL This was on June 26 , 2009 . - -b22d079f3c704034a5643ad1a37c3853 0 The violence perpetrated against them is outrageous . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 341/527 # - -'We see it and we condemn it.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> 'We see it and we condemn it .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# We see it and we condemn it. - -b3b6953b37e5482b94ae47410dc8b82b 0 We see it and we condemn it . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 342/527 # - -'While in Moscow on July 7, he responded Vice President Biden's comment on a possible Israeli military strike on Iran by saying: We have said directly to the Israelis that it is important to try and resolve this in an international setting in a way that does not create major conflict in the Middle East.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) - ├────────────────────────────s────────────────────────────> 'Biden was Vice President .' - └───n───> CO/UNKNOWN_COORDINATION (NULL, SharedNPPostParticipalExtractor) - ├────────n────────> SUB/ATTRIBUTION (NULL, SubordinationPostAttributionExtractor2) - | ├─────────────s─────────────> 'This was what he responded Biden 's comment on a possible Israeli military strike on Iran .' - | └───n───> SUB/IDENTIFYING_DEFINITION ('that', RestrictiveRelativeClauseWhoWhichExtractor) - | ├────────n────────> 'It is important to try and resolve this in an international setting in a way .' - | └───s───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) - | ├───s───> 'This is in the Middle East .' - | └───n───> 'A way does not create major conflict .' - └───n───> CO/UNKNOWN_COORDINATION (':', CoordinationExtractor) - ├─────────────n─────────────> SUB/ATTRIBUTION (NULL, PreAttributionExtractor) - | ├───n───> 'While in Moscow on July 7 .' - | └───s───> 'This was what he was saying .' - └───n───> SUB/ATTRIBUTION (NULL, SubordinationPostAttributionExtractor2) - ├─────────────s─────────────> 'This was what we have said directly to the Israelis .' - └───n───> SUB/IDENTIFYING_DEFINITION ('that', RestrictiveRelativeClauseWhoWhichExtractor) - ├────────n────────> 'It is important to try and resolve this in an international setting in a way .' - └───s───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) - ├───s───> 'This is in the Middle East .' - └───n───> 'A way does not create major conflict .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# While in Moscow on July 7, he responded Vice President Biden's comment on a possible Israeli military strike on Iran by saying: We have said directly to the Israelis that it is important to try and resolve this in an international setting in a way that does not create major conflict in the Middle East. - -192f44e7083a4588bf0d7056a410383b 0 It is important to try and resolve this in an international setting in a way . - S:ATTRIBUTION This was what he responded Biden 's comment on a possible Israeli military strike on Iran . - L:IDENTIFYING_DEFINITION c18b3d04b33640ea921732950227f93f - L:ELABORATION 36f86dc67e7949fd81eb09fae919f69a - -c18b3d04b33640ea921732950227f93f 1 A way does not create major conflict . - S:SPATIAL This is in the Middle East . - -73bf1b3ba7d842649d70d3eb87698f36 0 While in Moscow on July 7 . - S:ATTRIBUTION This was what he was saying . - L:ELABORATION 36f86dc67e7949fd81eb09fae919f69a - -6ff0e2172bb445d2b2a93c344e4a6911 0 It is important to try and resolve this in an international setting in a way . - S:ATTRIBUTION This was what we have said directly to the Israelis . - L:IDENTIFYING_DEFINITION a6098a703c6f49d2bd89d5b84e044064 - L:ELABORATION 36f86dc67e7949fd81eb09fae919f69a - -a6098a703c6f49d2bd89d5b84e044064 1 A way does not create major conflict . - S:SPATIAL This is in the Middle East . - -36f86dc67e7949fd81eb09fae919f69a 1 Biden was Vice President . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 343/527 # - -'On September 24, 2009, Obama became the first sitting U.S. President to preside over a meeting of the United Nations Security Council.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> CO/UNKNOWN_COORDINATION (NULL, SharedNPPostParticipalExtractor) - ├───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - | ├───s───> 'This was on September 24 , 2009 .' - | └───n───> 'Obama became the first .' - └───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - ├───s───> 'This was on September 24 , 2009 .' - └───n───> 'Obama was sitting U.S. President to preside over a meeting of the United Nations Security Council .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# On September 24, 2009, Obama became the first sitting U.S. President to preside over a meeting of the United Nations Security Council. - -9db0bbdca0c34aeda87374c1d4956381 0 Obama became the first . - S:TEMPORAL This was on September 24 , 2009 . - -a3507410c8c54acc9b1852928bdd13d8 0 Obama was sitting U.S. President to preside over a meeting of the United Nations Security Council . - S:TEMPORAL This was on September 24 , 2009 . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 344/527 # - -'In March 2010, Obama took a public stance against plans by the government of Israeli Prime Minister Benjamin Netanyahu to continue building Jewish housing projects in predominantly Arab neighborhoods of East Jerusalem.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) - ├───────────────────────s───────────────────────> 'Benjamin Netanyahu was Israeli Prime Minister .' - └───n───> SUB/PURPOSE (NULL, PurposePostExtractor) - ├───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - | ├─────────────s─────────────> 'This was against plans .' - | └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - | ├────────s────────> 'This was by the government of Benjamin Netanyahu .' - | └───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - | ├───s───> 'This was in March 2010 .' - | └───n───> 'Obama took a public stance .' - └──────────────────s──────────────────> 'This was to continue building Jewish housing projects in predominantly Arab neighborhoods of East Jerusalem .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# In March 2010, Obama took a public stance against plans by the government of Israeli Prime Minister Benjamin Netanyahu to continue building Jewish housing projects in predominantly Arab neighborhoods of East Jerusalem. - -b476c238ece64282837c47d7685c6449 0 Obama took a public stance . - S:TEMPORAL This was in March 2010 . - S:UNKNOWN_SUBORDINATION This was by the government of Benjamin Netanyahu . - S:UNKNOWN_SUBORDINATION This was against plans . - S:PURPOSE This was to continue building Jewish housing projects in predominantly Arab neighborhoods of East Jerusalem . - L:ELABORATION 21e3f7dd9df948bdae0a3f379cec38fd - -21e3f7dd9df948bdae0a3f379cec38fd 1 Benjamin Netanyahu was Israeli Prime Minister . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 345/527 # - -'During the same month, an agreement was reached with the administration of Russian President Dmitry Medvedev to replace the 1991 Strategic Arms Reduction Treaty with a new pact reducing the number of long-range nuclear weapons in the arsenals of both countries by about one-third.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) - ├─────────────s─────────────> 'Dmitry Medvedev was Russian President .' - └───n───> SUB/PURPOSE (NULL, PurposePostExtractor) - ├───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalInitialExtractor) - | ├───s───> 'This was during the same month .' - | └───n───> 'An agreement was reached with the administration of Dmitry Medvedev .' - └────────s────────> 'This was to replace the 1991 Strategic Arms Reduction Treaty with a new pact reducing the number of long-range nuclear weapons in the arsenals of both countries by about one-third .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# During the same month, an agreement was reached with the administration of Russian President Dmitry Medvedev to replace the 1991 Strategic Arms Reduction Treaty with a new pact reducing the number of long-range nuclear weapons in the arsenals of both countries by about one-third. - -963c299e4532453f8f6ae354d92d2b67 0 An agreement was reached with the administration of Dmitry Medvedev . - S:UNKNOWN_SUBORDINATION This was during the same month . - S:PURPOSE This was to replace the 1991 Strategic Arms Reduction Treaty with a new pact reducing the number of long-range nuclear weapons in the arsenals of both countries by about one-third . - L:ELABORATION 99b6f9f4825a4107b4e4674b7272d6b7 - -99b6f9f4825a4107b4e4674b7272d6b7 1 Dmitry Medvedev was Russian President . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 346/527 # - -'Obama and Medvedev signed the New START treaty in April 2010, and the U.S. Senate ratified it in December 2010.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> CO/LIST (', and', CoordinationExtractor) - ├────────n────────> 'Obama and Medvedev signed the New START treaty in April 2010 .' - └───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) - ├───s───> 'This was in December 2010 .' - └───n───> 'The U.S. Senate ratified it .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# Obama and Medvedev signed the New START treaty in April 2010, and the U.S. Senate ratified it in December 2010. - -96bfb84c15b64b08926fc4db6ec4de6e 0 Obama and Medvedev signed the New START treaty in April 2010 . - L:LIST 6cf45132911d4d10beb7bb4adc4b8547 - -6cf45132911d4d10beb7bb4adc4b8547 0 The U.S. Senate ratified it . - S:TEMPORAL This was in December 2010 . - L:LIST 96bfb84c15b64b08926fc4db6ec4de6e - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 347/527 # - -'In December 2011, Obama instructed agencies to consider LGBT rights when issuing financial aid to foreign countries.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/PURPOSE (NULL, PurposePostExtractor) - ├───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - | ├───s───> 'This was in December 2011 .' - | └───n───> 'Obama instructed agencies .' - └────────s────────> 'This was to consider LGBT rights when issuing financial aid to foreign countries .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# In December 2011, Obama instructed agencies to consider LGBT rights when issuing financial aid to foreign countries. - -fabf5d10bff247408d876f15231046fe 0 Obama instructed agencies . - S:TEMPORAL This was in December 2011 . - S:PURPOSE This was to consider LGBT rights when issuing financial aid to foreign countries . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 348/527 # - -'In August 2013, he criticized Russia's law that discriminated against gays, but he stopped short of advocating a boycott of the upcoming 2014 Winter Olympics in Sochi, Russia.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> CO/CONTRAST (', but', CoordinationExtractor) - ├───n───> SUB/IDENTIFYING_DEFINITION ('that', RestrictiveRelativeClauseWhoWhichExtractor) - | ├───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - | | ├───s───> 'This was in August 2013 .' - | | └───n───> 'He criticized Russia 's law .' - | └────────s────────> 'Russia 's law discriminated against gays .' - └─────────────n─────────────> 'He stopped short of advocating a boycott of the upcoming 2014 Winter Olympics in Sochi , Russia .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# In August 2013, he criticized Russia's law that discriminated against gays, but he stopped short of advocating a boycott of the upcoming 2014 Winter Olympics in Sochi, Russia. - -a378c3dcaed0486ba57f8efb59e56696 0 He criticized Russia 's law . - S:TEMPORAL This was in August 2013 . - L:IDENTIFYING_DEFINITION 579459100abf4a66809ac95e3265541f - L:CONTRAST ba4a574b4c96442fabf598c834fe6f3c - -579459100abf4a66809ac95e3265541f 1 Russia 's law discriminated against gays . - -ba4a574b4c96442fabf598c834fe6f3c 0 He stopped short of advocating a boycott of the upcoming 2014 Winter Olympics in Sochi , Russia . - L:CONTRAST a378c3dcaed0486ba57f8efb59e56696 - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 349/527 # - -'In December 2014, Obama announced that he intended to normalize relationships between Cuba and the United States.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/ATTRIBUTION (NULL, SubordinationPostAttributionExtractor2) - ├────────s────────> 'This was what Obama announced in December 2014 .' - └───n───> CO/LIST (NULL, PostListNPExtractor) - ├───n───> 'He intended to normalize relationships between Cuba .' - └───n───> 'He intended to normalize relationships between the United States .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# In December 2014, Obama announced that he intended to normalize relationships between Cuba and the United States. - -c643426846e3435d888bb50a5660a442 0 He intended to normalize relationships between Cuba . - S:ATTRIBUTION This was what Obama announced in December 2014 . - L:LIST 5774f027e080474eac517b9aff6c4e1b - -5774f027e080474eac517b9aff6c4e1b 0 He intended to normalize relationships between the United States . - S:ATTRIBUTION This was what Obama announced in December 2014 . - L:LIST c643426846e3435d888bb50a5660a442 - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 350/527 # - -'The countries' respective interests sections in one another's capitals were upgraded to embassies on July 20, 2015.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/IDENTIFYING_DEFINITION ('', RestrictiveRelativeClauseWithoutRelativePronounExtractor) - ├───n───> 'The countries ' respective interests sections in one were upgraded to embassies on July 20 , 2015 .' - └───s───> 'Another 's capitals one .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# The countries' respective interests sections in one another's capitals were upgraded to embassies on July 20, 2015. - -2a5d3ff872b644d49af37fa73422376c 0 The countries ' respective interests sections in one were upgraded to embassies on July 20 , 2015 . - L:IDENTIFYING_DEFINITION f3e95a591f7b4d1c859f24ff2d431bd0 - -f3e95a591f7b4d1c859f24ff2d431bd0 1 Another 's capitals one . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 351/527 # - -'In March 2015, Obama declared that he had authorized U.S. forces to provide logistical and intelligence support to the Saudis in their military intervention in Yemen, establishing a Joint Planning Cell with Saudi Arabia.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/ATTRIBUTION (NULL, SubordinationPostAttributionExtractor2) - ├─────────────s─────────────> 'This was what Obama declared in March 2015 .' - └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - ├────────s────────> 'This was to the Saudis .' - └───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) - ├───s───> 'This was in their military intervention in Yemen .' - └───n───> 'He had authorized U.S. forces to provide logistical and intelligence support , establishing a Joint Planning Cell with Saudi Arabia .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# In March 2015, Obama declared that he had authorized U.S. forces to provide logistical and intelligence support to the Saudis in their military intervention in Yemen, establishing a Joint Planning Cell with Saudi Arabia. - -6a2c32ee07bd4ba793526122132a2b77 0 He had authorized U.S. forces to provide logistical and intelligence support , establishing a Joint Planning Cell with Saudi Arabia . - S:SPATIAL This was in their military intervention in Yemen . - S:UNKNOWN_SUBORDINATION This was to the Saudis . - S:ATTRIBUTION This was what Obama declared in March 2015 . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 352/527 # - -'In 2016, the Obama administration proposed a series of arms deals with Saudi Arabia worth $115 billion.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) - ├─────────────s─────────────> 'This was with Saudi Arabia .' - └───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) - ├────────s────────> 'This was worth $ 115 billion .' - └───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - ├───s───> 'This was in 2016 .' - └───n───> 'The Obama administration proposed a series of arms deals .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# In 2016, the Obama administration proposed a series of arms deals with Saudi Arabia worth $115 billion. - -c55bd1e4e2754ce68acde8f455df347f 0 The Obama administration proposed a series of arms deals . - S:TEMPORAL This was in 2016 . - S:TEMPORAL This was worth $ 115 billion . - S:SPATIAL This was with Saudi Arabia . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 353/527 # - -'Obama halted the sale of guided munition technology to Saudi Arabia after Saudi warplanes targeted a funeral in Yemen's capital Sanaa, killing more than 140 people.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) - ├──────────────────s──────────────────> 'Sanaa was capital .' - └───n───> SUB/TEMPORAL_BEFORE ('after', SubordinationPostExtractor) - ├────────n────────> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) - | ├───s───> 'This was to Saudi Arabia .' - | └───n───> 'Obama halted the sale of guided munition technology .' - └───s───> CO/UNKNOWN_COORDINATION (NULL, SharedNPPostParticipalExtractor) - ├───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) - | ├───s───> 'This was in Yemen 's Sanaa .' - | └───n───> 'Saudi warplanes targeted a funeral .' - └────────n────────> 'Saudi warplanes were killing more than 140 people .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# Obama halted the sale of guided munition technology to Saudi Arabia after Saudi warplanes targeted a funeral in Yemen's capital Sanaa, killing more than 140 people. - -7c1a71582b7a4e58a1ffeb32edbe3189 0 Obama halted the sale of guided munition technology . - S:SPATIAL This was to Saudi Arabia . - L:TEMPORAL_BEFORE 839d04a3a261439a9d87834d7606d821 - L:TEMPORAL_BEFORE 5f8341d6af9e4fc89d84d16cc4538778 - L:ELABORATION e92da0405e1943efa85b5857a60da48e - -839d04a3a261439a9d87834d7606d821 1 Saudi warplanes targeted a funeral . - S:SPATIAL This was in Yemen 's Sanaa . - -5f8341d6af9e4fc89d84d16cc4538778 1 Saudi warplanes were killing more than 140 people . - -e92da0405e1943efa85b5857a60da48e 1 Sanaa was capital . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 354/527 # - -'Before leaving office, Obama said German Chancellor Angela Merkel had been his closest international partner throughout his tenure as president.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) - ├──────────────────s──────────────────> 'Angela Merkel was German Chancellor .' - └───n───> SUB/TEMPORAL_AFTER ('Before', SharedNPPreParticipalExtractor) - ├─────────────s─────────────> 'Obama was leaving office .' - └───n───> SUB/ATTRIBUTION (NULL, SubordinationPostAttributionExtractor) - ├────────s────────> 'This was what Obama said .' - └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - ├───s───> 'This was as president .' - └───n───> 'Angela Merkel had been his closest international partner throughout his tenure .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# Before leaving office, Obama said German Chancellor Angela Merkel had been his closest international partner throughout his tenure as president. - -96a8c0a8541a41a3b0a834683cac693b 0 Angela Merkel had been his closest international partner throughout his tenure . - S:UNKNOWN_SUBORDINATION This was as president . - S:ATTRIBUTION This was what Obama said . - L:TEMPORAL_AFTER 5f70478eebb64a5dbb1aea53eb5bb176 - L:ELABORATION 7eb1b249e6a2402a90883e36aa859c70 - -5f70478eebb64a5dbb1aea53eb5bb176 1 Obama was leaving office . - -7eb1b249e6a2402a90883e36aa859c70 1 Angela Merkel was German Chancellor . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 355/527 # - -'On February 27, 2009, Obama announced that combat operations in Iraq would end within 18 months.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/ATTRIBUTION (NULL, SubordinationPostAttributionExtractor2) - ├───s───> 'This was what Obama announced on February 27 , 2009 .' - └───n───> 'Combat operations in Iraq would end within 18 months .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# On February 27, 2009, Obama announced that combat operations in Iraq would end within 18 months. - -f5cfacb0901d4de49c9c711b05a35aff 0 Combat operations in Iraq would end within 18 months . - S:ATTRIBUTION This was what Obama announced on February 27 , 2009 . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 356/527 # - -'His remarks were made to a group of Marines preparing for deployment to Afghanistan.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> CO/UNKNOWN_COORDINATION (NULL, SharedNPPostParticipalExtractor) - ├────────n────────> 'His remarks were made to a group of Marines .' - └───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) - ├───s───> 'This was to Afghanistan .' - └───n───> 'His remarks were preparing for deployment .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# His remarks were made to a group of Marines preparing for deployment to Afghanistan. - -44ae72d3b2174d4aaacba806bbad0b1a 0 His remarks were made to a group of Marines . - -3280ff0ab21b485bad3555dd8a81fa0b 0 His remarks were preparing for deployment . - S:SPATIAL This was to Afghanistan . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 357/527 # - -'Obama said, Let me say this as plainly as I can: by August 31, 2010, our combat mission in Iraq will end.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> CO/UNKNOWN_COORDINATION (':', CoordinationExtractor) - ├────────n────────> 'Obama said , Let me say this as plainly as I can .' - └───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - ├───s───> 'This is by August 31 , 2010 .' - └───n───> 'Our combat mission in Iraq will end .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# Obama said, Let me say this as plainly as I can: by August 31, 2010, our combat mission in Iraq will end. - -83c915f8c6bb4654a6f94e47cb6c9d74 0 Obama said , Let me say this as plainly as I can . - -1c41d60999b04395807e7bff1cd4e6d1 0 Our combat mission in Iraq will end . - S:TEMPORAL This is by August 31 , 2010 . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 358/527 # - -'The Obama administration scheduled the withdrawal of combat troops to be completed by August 2010, decreasing troop's levels from 142,000 while leaving a transitional force of about 50,000 in Iraq until the end of 2011.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> CO/UNKNOWN_COORDINATION (NULL, SharedNPPostParticipalExtractor) - ├────────n────────> SUB/PURPOSE (NULL, PurposePostExtractor) - | ├───n───> 'The Obama administration scheduled the withdrawal of combat troops .' - | └───s───> 'This was to be completed by August 2010 .' - └───n───> CO/CONTRAST (NULL, SharedNPPostParticipalExtractor) - ├───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) - | ├───s───> 'This was from 142,000 .' - | └───n───> 'The Obama administration was decreasing troop 's levels .' - └───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) - ├───s───> 'This was until the end of 2011 .' - └───n───> 'The Obama administration was leaving a transitional force of about 50,000 in Iraq .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# The Obama administration scheduled the withdrawal of combat troops to be completed by August 2010, decreasing troop's levels from 142,000 while leaving a transitional force of about 50,000 in Iraq until the end of 2011. - -38159ae515ff42b9bc2851e49edce427 0 The Obama administration scheduled the withdrawal of combat troops . - S:PURPOSE This was to be completed by August 2010 . - -c56228cb925043bf80696c6db5842cd3 0 The Obama administration was decreasing troop 's levels . - S:TEMPORAL This was from 142,000 . - L:CONTRAST 8ddb210314b44f22975997a8580dd34a - -8ddb210314b44f22975997a8580dd34a 0 The Obama administration was leaving a transitional force of about 50,000 in Iraq . - S:TEMPORAL This was until the end of 2011 . - L:CONTRAST c56228cb925043bf80696c6db5842cd3 - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 359/527 # - -'On August 19, 2010, the last U.S. combat brigade exited Iraq.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - ├───s───> 'This was on August 19 , 2010 .' - └───n───> 'The last U.S. combat brigade exited Iraq .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# On August 19, 2010, the last U.S. combat brigade exited Iraq. - -d2f051a96fa9405882923ea8c12b4a87 0 The last U.S. combat brigade exited Iraq . - S:TEMPORAL This was on August 19 , 2010 . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 360/527 # - -'Remaining troops transitioned from combat operations to counter-terrorism and the training, equipping, and advising of Iraqi security forces.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> CO/UNKNOWN_COORDINATION (NULL, SharedNPPostParticipalExtractor) - ├───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - | ├───s───> CO/LIST (NULL, PostListNPExtractor) - | | ├───n───> 'This was to counter-terrorism .' - | | └───n───> 'This was to the training .' - | └────────n────────> 'Remaining troops transitioned from combat operations .' - └────────n────────> CO/LIST (', and', SharedNPPostCoordinationExtractor) - ├───n───> 'Remaining troops were equipping .' - └───n───> 'Remaining troops were advising of Iraqi security forces .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# Remaining troops transitioned from combat operations to counter-terrorism and the training, equipping, and advising of Iraqi security forces. - -e5b016d9956047fca81f17acbd2cefbb 0 Remaining troops transitioned from combat operations . - L:UNKNOWN_SUBORDINATION 259e96e5ac664de0ad79947bd483e8de - L:UNKNOWN_SUBORDINATION f97de769845a4469a96139e4841e25cb - -259e96e5ac664de0ad79947bd483e8de 1 This was to counter-terrorism . - L:LIST f97de769845a4469a96139e4841e25cb - -f97de769845a4469a96139e4841e25cb 1 This was to the training . - L:LIST 259e96e5ac664de0ad79947bd483e8de - -9284a8bbe4854990900ce37625bceefc 0 Remaining troops were equipping . - L:LIST e42d71670d064efbbea4a82a61316d56 - -e42d71670d064efbbea4a82a61316d56 0 Remaining troops were advising of Iraqi security forces . - L:LIST 9284a8bbe4854990900ce37625bceefc - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 361/527 # - -'On August 31, 2010, Obama announced that the United States combat mission in Iraq was over.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/ATTRIBUTION (NULL, SubordinationPostAttributionExtractor2) - ├───s───> 'This was what Obama announced on August 31 , 2010 .' - └───n───> 'The United States combat mission in Iraq was over .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# On August 31, 2010, Obama announced that the United States combat mission in Iraq was over. - -23e93b76a3f74817b65c3e451df64b47 0 The United States combat mission in Iraq was over . - S:ATTRIBUTION This was what Obama announced on August 31 , 2010 . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 362/527 # - -'On October 21, 2011 President Obama announced that all U.S. troops would leave Iraq in time to be home for the holidays.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) - ├─────────────s─────────────> 'Obama was President .' - └───n───> SUB/ATTRIBUTION (NULL, SubordinationPostAttributionExtractor2) - ├────────s────────> 'This was what Obama announced on October 21 , 2011 .' - └───n───> SUB/PURPOSE (NULL, PurposePostExtractor) - ├───n───> 'All U.S. troops would leave Iraq in time .' - └───s───> 'This is to be home for the holidays .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# On October 21, 2011 President Obama announced that all U.S. troops would leave Iraq in time to be home for the holidays. - -565caaa601a9493ba5017b6232980c44 0 All U.S. troops would leave Iraq in time . - S:PURPOSE This is to be home for the holidays . - S:ATTRIBUTION This was what Obama announced on October 21 , 2011 . - L:ELABORATION 0a1a2b477c9946e6862614a76b6bd94c - -0a1a2b477c9946e6862614a76b6bd94c 1 Obama was President . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 363/527 # - -'US President Barack Obama and British Prime Minister David Cameron trade bottles of beer to settle a bet they made on the U.S. vs. England World Cup Soccer game (which ended in a tie), during a bilateral meeting at the G20 Summit in Toronto, Canada, Saturday, June 26, 2010' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) - ├────────────────────────────s────────────────────────────> 'Barack Obama was US President .' - └───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) - ├───────────────────────s───────────────────────> 'David Cameron was British Prime Minister .' - └───n───> SUB/IDENTIFYING_DEFINITION ('', RestrictiveRelativeClauseWithoutRelativePronounExtractor) - ├──────────────────n──────────────────> 'Barack Obama and David Cameron trade bottles of beer to settle a bet .' - └───s───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) - ├─────────────s─────────────> 'This was on the U.S. vs. England World Cup Soccer game .' - └───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) - ├────────s────────> 'This was at the G20 Summit in Toronto , Canada , Saturday , June 26 , 2010 .' - └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalMiddleFinalExtractor) - ├───s───> 'This was during a bilateral meeting .' - └───n───> 'They made a bet -LRB- which ended in a tie -RRB- .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# US President Barack Obama and British Prime Minister David Cameron trade bottles of beer to settle a bet they made on the U.S. vs. England World Cup Soccer game (which ended in a tie), during a bilateral meeting at the G20 Summit in Toronto, Canada, Saturday, June 26, 2010 - -006e5fc1a5e24206a64b449f880f81c3 0 Barack Obama and David Cameron trade bottles of beer to settle a bet . - L:IDENTIFYING_DEFINITION 6c134bc3d2944bd99dcb509574ae6187 - L:ELABORATION a873e14a23c944fb88929675d77d9f84 - L:ELABORATION 7e0405daba154320bf09e80aef387943 - -6c134bc3d2944bd99dcb509574ae6187 1 They made a bet -LRB- which ended in a tie -RRB- . - S:UNKNOWN_SUBORDINATION This was during a bilateral meeting . - S:TEMPORAL This was at the G20 Summit in Toronto , Canada , Saturday , June 26 , 2010 . - S:SPATIAL This was on the U.S. vs. England World Cup Soccer game . - -a873e14a23c944fb88929675d77d9f84 1 David Cameron was British Prime Minister . - -7e0405daba154320bf09e80aef387943 1 Barack Obama was US President . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 364/527 # - -'Meeting with UK Prime Minister David Cameron during the 2010 G20 Toronto summit' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) - ├─────────────s─────────────> 'David Cameron is UK Prime Minister .' - └───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) - ├────────s────────> 'Toronto is G20 .' - └───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) - ├───s───> 'This is during the 2010 Toronto summit .' - └───n───> 'Meeting with David Cameron .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# Meeting with UK Prime Minister David Cameron during the 2010 G20 Toronto summit - -e179fc425d814a60b4d43772086016dd 0 Meeting with David Cameron . - S:SPATIAL This is during the 2010 Toronto summit . - L:ELABORATION 9c50ce6628bd4a1cadace4e07bb1bc16 - L:ELABORATION a1469a2dddcc428483ef3e4960f0d432 - -9c50ce6628bd4a1cadace4e07bb1bc16 1 Toronto is G20 . - -a1469a2dddcc428483ef3e4960f0d432 1 David Cameron is UK Prime Minister . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 365/527 # - -'In June 2014, following the capture of Mosul by ISIS, Obama sent 275 troops to provide support and security for U.S. personnel and the U.S. Embassy in Baghdad.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/PURPOSE (NULL, PurposePostExtractor) - ├───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - | ├─────────────s─────────────> 'This was in June 2014 .' - | └───n───> SUB/SPATIAL (NULL, PrepositionalInitialExtractor) - | ├───s───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - | | ├───s───> 'This was by ISIS .' - | | └───n───> 'This was following the capture of Mosul .' - | └────────n────────> 'Obama sent 275 troops .' - └──────────────────s──────────────────> 'This was to provide support and security for U.S. personnel and the U.S. Embassy in Baghdad .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# In June 2014, following the capture of Mosul by ISIS, Obama sent 275 troops to provide support and security for U.S. personnel and the U.S. Embassy in Baghdad. - -5990b8e4918049179583038ef6d206ff 0 Obama sent 275 troops . - S:TEMPORAL This was in June 2014 . - S:PURPOSE This was to provide support and security for U.S. personnel and the U.S. Embassy in Baghdad . - L:SPATIAL cb1b118014cb43cd9aeace9d998978a7 - -cb1b118014cb43cd9aeace9d998978a7 1 This was following the capture of Mosul . - S:UNKNOWN_SUBORDINATION This was by ISIS . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 366/527 # - -'ISIS continued to gain ground and to commit widespread massacres and ethnic cleansing.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> CO/LIST (NULL, PostListNPExtractor) - ├───n───> 'ISIS continued to gain ground and to commit widespread massacres .' - └───n───> 'ISIS continued to gain ground and to commit ethnic cleansing .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# ISIS continued to gain ground and to commit widespread massacres and ethnic cleansing. - -4cf312b081a64bdda8b2a6d4f10a27a0 0 ISIS continued to gain ground and to commit widespread massacres . - L:LIST eb18c2329f064ce780bcab4e0f971323 - -eb18c2329f064ce780bcab4e0f971323 0 ISIS continued to gain ground and to commit ethnic cleansing . - L:LIST 4cf312b081a64bdda8b2a6d4f10a27a0 - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 367/527 # - -'In August 2014, during the Sinjar massacre, Obama ordered a campaign of U.S. airstrikes against ISIS.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - ├─────────────s─────────────> 'This was against ISIS .' - └───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - ├────────s────────> 'This was in August 2014 .' - └───n───> SUB/SPATIAL (NULL, PrepositionalInitialExtractor) - ├───s───> 'This was during the Sinjar massacre .' - └───n───> 'Obama ordered a campaign of U.S. airstrikes .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# In August 2014, during the Sinjar massacre, Obama ordered a campaign of U.S. airstrikes against ISIS. - -0176eb5d13584ffc86def7e26b4e124b 0 Obama ordered a campaign of U.S. airstrikes . - S:SPATIAL This was during the Sinjar massacre . - S:TEMPORAL This was in August 2014 . - S:UNKNOWN_SUBORDINATION This was against ISIS . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 368/527 # - -'By the end of 2014, 3,100 American ground troops were committed to the conflict and 16,000 sorties were flown over the battlefield, primarily by U.S. Air Force and Navy pilots.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> CO/LIST ('and', CoordinationExtractor) - ├───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - | ├───s───> 'This was by the end of 2014 .' - | └───n───> '3,100 American ground troops were committed to the conflict .' - └───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - ├───s───> 'This was by the end of 2014 .' - └───n───> '16,000 sorties were flown over the battlefield , primarily by U.S. Air Force and Navy pilots .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# By the end of 2014, 3,100 American ground troops were committed to the conflict and 16,000 sorties were flown over the battlefield, primarily by U.S. Air Force and Navy pilots. - -400590d9ea5b4bec92deb6ece69ffaef 0 3,100 American ground troops were committed to the conflict . - S:TEMPORAL This was by the end of 2014 . - L:LIST 6272b0a12e5e4b18acdf19040d2d7467 - -6272b0a12e5e4b18acdf19040d2d7467 0 16,000 sorties were flown over the battlefield , primarily by U.S. Air Force and Navy pilots . - S:TEMPORAL This was by the end of 2014 . - L:LIST 400590d9ea5b4bec92deb6ece69ffaef - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 369/527 # - -'In early 2015, with the addition of the Panther Brigade of the 82nd Airborne Division the number of U.S. ground troops in Iraq surged to 4,400, and by July American-led coalition air forces counted 44,000 sorties over the battlefield.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> CO/LIST (', and', CoordinationExtractor) - ├────────n────────> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - | ├────────s────────> 'This was in early 2015 .' - | └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalInitialExtractor) - | ├───s───> 'This was with the addition of the Panther Brigade of the 82nd Airborne Division .' - | └───n───> 'The number of U.S. ground troops in Iraq surged to 4,400 .' - └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - ├─────────────s─────────────> 'This was over the battlefield .' - └───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - ├────────s────────> 'This was in early 2015 .' - └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalInitialExtractor) - ├───s───> 'This was by July .' - └───n───> 'American-led coalition air forces counted 44,000 sorties .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# In early 2015, with the addition of the Panther Brigade of the 82nd Airborne Division the number of U.S. ground troops in Iraq surged to 4,400, and by July American-led coalition air forces counted 44,000 sorties over the battlefield. - -6cd48b371cac44e1b5d9e70976ed1964 0 The number of U.S. ground troops in Iraq surged to 4,400 . - S:UNKNOWN_SUBORDINATION This was with the addition of the Panther Brigade of the 82nd Airborne Division . - S:TEMPORAL This was in early 2015 . - L:LIST 03967e3f13b04cee97d7c724ed9331f6 - -03967e3f13b04cee97d7c724ed9331f6 0 American-led coalition air forces counted 44,000 sorties . - S:UNKNOWN_SUBORDINATION This was by July . - S:TEMPORAL This was in early 2015 . - S:UNKNOWN_SUBORDINATION This was over the battlefield . - L:LIST 6cd48b371cac44e1b5d9e70976ed1964 - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 370/527 # - -'Early in his presidency, Obama moved to bolster U.S. troop strength in Afghanistan.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/UNKNOWN_SUBORDINATION (NULL, AdjectivalAdverbialInitialExtractor) - ├───s───> 'This was early in his presidency .' - └───n───> 'Obama moved to bolster U.S. troop strength in Afghanistan .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# Early in his presidency, Obama moved to bolster U.S. troop strength in Afghanistan. - -12c4e8b567c3484481d4536579745795 0 Obama moved to bolster U.S. troop strength in Afghanistan . - S:UNKNOWN_SUBORDINATION This was early in his presidency . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 371/527 # - -'He announced an increase in U.S. troop levels to 17,000 military personnel in February 2009 to stabilize a deteriorating situation in Afghanistan, an area he said had not received the strategic attention, direction and resources it urgently requires.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/IDENTIFYING_DEFINITION ('', RestrictiveRelativeClauseWithoutRelativePronounExtractor) - ├───n───> SUB/IDENTIFYING_DEFINITION ('', RestrictiveRelativeClauseWithoutRelativePronounExtractor) - | ├───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) - | | ├────────s────────> 'This was to 17,000 military personnel in February 2009 .' - | | └───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) - | | ├───s───> 'This was in U.S. troop levels .' - | | └───n───> 'He announced an increase to stabilize a deteriorating situation in Afghanistan , an area had not received the strategic attention , direction and resources .' - | └────────s────────> CO/LIST (NULL, PostListNPExtractor) - | ├───n───> 'It urgently requires the strategic attention .' - | ├───n───> 'It urgently requires direction .' - | └───n───> 'It urgently requires resources .' - └──────────────────s──────────────────> 'He said an area .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# He announced an increase in U.S. troop levels to 17,000 military personnel in February 2009 to stabilize a deteriorating situation in Afghanistan, an area he said had not received the strategic attention, direction and resources it urgently requires. - -f58091814df846d7acd0f98d30ed427f 0 He announced an increase to stabilize a deteriorating situation in Afghanistan , an area had not received the strategic attention , direction and resources . - S:SPATIAL This was in U.S. troop levels . - S:TEMPORAL This was to 17,000 military personnel in February 2009 . - L:IDENTIFYING_DEFINITION c8bed9bab0db4304b2d3de498d710eb3 - L:IDENTIFYING_DEFINITION bf25aa0cd76b472398f7f2353c839453 - L:IDENTIFYING_DEFINITION 4d345132857d41e7aecf90ec3d17a259 - L:IDENTIFYING_DEFINITION a51cf7ae4a0e4c5c90b3e07a04aab6d8 - -c8bed9bab0db4304b2d3de498d710eb3 1 It urgently requires the strategic attention . - L:LIST bf25aa0cd76b472398f7f2353c839453 - L:LIST 4d345132857d41e7aecf90ec3d17a259 - -bf25aa0cd76b472398f7f2353c839453 1 It urgently requires direction . - L:LIST 4d345132857d41e7aecf90ec3d17a259 - L:LIST c8bed9bab0db4304b2d3de498d710eb3 - -4d345132857d41e7aecf90ec3d17a259 1 It urgently requires resources . - L:LIST c8bed9bab0db4304b2d3de498d710eb3 - L:LIST bf25aa0cd76b472398f7f2353c839453 - -a51cf7ae4a0e4c5c90b3e07a04aab6d8 1 He said an area . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 372/527 # - -'He replaced the military commander in Afghanistan, General David D. McKiernan, with former Special Forces commander Lt. Gen. Stanley A. McChrystal in May 2009, indicating that McChrystal's Special Forces experience would facilitate the use of counterinsurgency tactics in the war.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) - ├────────────────────────────s────────────────────────────> 'David D. McKiernan was General .' - └───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) - ├───────────────────────s───────────────────────> 'Stanley A. McChrystal was former Special Forces commander Lt. Gen. .' - └───n───> SUB/ELABORATION (NULL, NonRestrictiveAppositionExtractor) - ├──────────────────s──────────────────> 'David D. McKiernan was Afghanistan .' - └───n───> CO/UNKNOWN_COORDINATION (NULL, SharedNPPostParticipalExtractor) - ├───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) - | ├────────s────────> 'This was in Afghanistan .' - | └───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) - | ├───s───> 'This was with Stanley A. McChrystal in May 2009 .' - | └───n───> 'He replaced the military commander .' - └───n───> SUB/ATTRIBUTION (NULL, SubordinationPostAttributionExtractor2) - ├────────s────────> 'This was what he was indicating .' - └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - ├───s───> 'This is in the war .' - └───n───> 'McChrystal 's Special Forces experience would facilitate the use of counterinsurgency tactics .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# He replaced the military commander in Afghanistan, General David D. McKiernan, with former Special Forces commander Lt. Gen. Stanley A. McChrystal in May 2009, indicating that McChrystal's Special Forces experience would facilitate the use of counterinsurgency tactics in the war. - -22ca0301f5604664be47b98d17d2836f 0 He replaced the military commander . - S:TEMPORAL This was with Stanley A. McChrystal in May 2009 . - S:SPATIAL This was in Afghanistan . - L:ELABORATION d4d64203aa7844959c4d39372006f69b - L:ELABORATION 8005d28589ff4bd6925992f2ffb902fc - L:ELABORATION a48171a93c0f4926b3e20e28f97e3c38 - -15bd40943a2d468d988a704de329b4bb 0 McChrystal 's Special Forces experience would facilitate the use of counterinsurgency tactics . - S:UNKNOWN_SUBORDINATION This is in the war . - S:ATTRIBUTION This was what he was indicating . - L:ELABORATION d4d64203aa7844959c4d39372006f69b - L:ELABORATION 8005d28589ff4bd6925992f2ffb902fc - L:ELABORATION a48171a93c0f4926b3e20e28f97e3c38 - -d4d64203aa7844959c4d39372006f69b 1 David D. McKiernan was Afghanistan . - -8005d28589ff4bd6925992f2ffb902fc 1 Stanley A. McChrystal was former Special Forces commander Lt. Gen. . - -a48171a93c0f4926b3e20e28f97e3c38 1 David D. McKiernan was General . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 373/527 # - -'On December 1, 2009, Obama announced the deployment of an additional 30,000 military personnel to Afghanistan and proposed to begin troop withdrawals 18 months from that date; this took place in July 2011.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> CO/UNKNOWN_COORDINATION (';', CoordinationExtractor) - ├───n───> CO/LIST ('and', SharedNPPostCoordinationExtractor) - | ├───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) - | | ├────────s────────> 'This was to Afghanistan .' - | | └───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - | | ├───s───> 'This was on December 1 , 2009 .' - | | └───n───> 'Obama announced the deployment of an additional 30,000 military personnel .' - | └───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) - | ├────────s────────> 'This was 18 months from that date .' - | └───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - | ├───s───> 'This was on December 1 , 2009 .' - | └───n───> 'Obama proposed to begin troop withdrawals .' - └─────────────n─────────────> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) - ├───s───> 'This was in July 2011 .' - └───n───> 'This took place .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# On December 1, 2009, Obama announced the deployment of an additional 30,000 military personnel to Afghanistan and proposed to begin troop withdrawals 18 months from that date; this took place in July 2011. - -b513cc6e4d164a61bcaaedaf2c1a3aae 0 Obama announced the deployment of an additional 30,000 military personnel . - S:TEMPORAL This was on December 1 , 2009 . - S:SPATIAL This was to Afghanistan . - L:LIST da527aa8c1654e88be3a3c4a7434a012 - -da527aa8c1654e88be3a3c4a7434a012 0 Obama proposed to begin troop withdrawals . - S:TEMPORAL This was on December 1 , 2009 . - S:TEMPORAL This was 18 months from that date . - L:LIST b513cc6e4d164a61bcaaedaf2c1a3aae - -bffbee6ea4ff451ba81d67d42503cbdc 0 This took place . - S:TEMPORAL This was in July 2011 . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 374/527 # - -'David Petraeus replaced McChrystal in June 2010, after McChrystal's staff criticized White House personnel in a magazine article.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/TEMPORAL_BEFORE ('after', SubordinationPostExtractor) - ├────────n────────> 'David Petraeus replaced McChrystal in June 2010 .' - └───s───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - ├───s───> 'This was in a magazine article .' - └───n───> 'McChrystal 's staff criticized White House personnel .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# David Petraeus replaced McChrystal in June 2010, after McChrystal's staff criticized White House personnel in a magazine article. - -a9afbab8b35c48a3ab771b3248a1f5ad 0 David Petraeus replaced McChrystal in June 2010 . - L:TEMPORAL_BEFORE c71825cb6bb14f7bb1e1416c6c6a0c2b - -c71825cb6bb14f7bb1e1416c6c6a0c2b 1 McChrystal 's staff criticized White House personnel . - S:UNKNOWN_SUBORDINATION This was in a magazine article . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 375/527 # - -'In February 2013, Obama said the U.S. military would reduce the troop level in Afghanistan from 68,000 to 34,000 U.S. troops by February 2014.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/ATTRIBUTION (NULL, SubordinationPostAttributionExtractor) - ├───────────────────────s───────────────────────> 'This was what Obama said in February 2013 .' - └───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) - ├──────────────────s──────────────────> 'This is from 68,000 .' - └───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) - ├─────────────s─────────────> 'This is to 34,000 U.S. troops .' - └───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) - ├────────s────────> 'This is by February 2014 .' - └───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) - ├───s───> 'This is in Afghanistan .' - └───n───> 'The U.S. military would reduce the troop level .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# In February 2013, Obama said the U.S. military would reduce the troop level in Afghanistan from 68,000 to 34,000 U.S. troops by February 2014. - -b65e881b36734573bba134cac2aa9428 0 The U.S. military would reduce the troop level . - S:SPATIAL This is in Afghanistan . - S:TEMPORAL This is by February 2014 . - S:SPATIAL This is to 34,000 U.S. troops . - S:TEMPORAL This is from 68,000 . - S:ATTRIBUTION This was what Obama said in February 2013 . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 376/527 # - -'In October 2015, the White House announced a plan to keep U.S. Forces in Afghanistan indefinitely in light of the deteriorating security situation.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - ├───s───> 'This was in October 2015 .' - └───n───> 'The White House announced a plan to keep U.S. Forces in Afghanistan indefinitely in light of the deteriorating security situation .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# In October 2015, the White House announced a plan to keep U.S. Forces in Afghanistan indefinitely in light of the deteriorating security situation. - -ab8da8d74b56462b8aba7bb610706e9d 0 The White House announced a plan to keep U.S. Forces in Afghanistan indefinitely in light of the deteriorating security situation . - S:TEMPORAL This was in October 2015 . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 377/527 # - -'President Barack Obama, at left, shakes hands with Israeli President Shimon Peres, at right, in the Oval Office on Tuesday, May 5, 2009.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) - ├──────────────────s──────────────────> 'Barack Obama is President .' - └───n───> SUB/UNKNOWN_SUBORDINATION ('', ParticipialMiddleExtractor) - ├───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) - | ├───s───> SUB/UNKNOWN_SUBORDINATION (NULL, AdjectivalAdverbialMiddleFinalExtractor) - | | ├───s───> 'This is at right .' - | | └───n───> 'This is with Israeli Shimon Peres in the Oval Office on Tuesday , May 5 , 2009 .' - | └────────n────────> 'Barack Obama shakes hands .' - └─────────────s─────────────> 'Barack Obama is at left .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# President Barack Obama, at left, shakes hands with Israeli President Shimon Peres, at right, in the Oval Office on Tuesday, May 5, 2009. - -fe0aabba25df43b9bf36960eaa567962 0 Barack Obama shakes hands . - L:TEMPORAL d13e44b5e3d942e485ed8a5b9383627c - L:UNKNOWN_SUBORDINATION a14146deb4de493f9b710571ecf086c0 - L:ELABORATION 67b230f49e0d4f7c994f240135eeae2d - -d13e44b5e3d942e485ed8a5b9383627c 1 This is with Israeli Shimon Peres in the Oval Office on Tuesday , May 5 , 2009 . - S:UNKNOWN_SUBORDINATION This is at right . - -a14146deb4de493f9b710571ecf086c0 1 Barack Obama is at left . - -67b230f49e0d4f7c994f240135eeae2d 1 Barack Obama is President . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 378/527 # - -'Standing at right looking on is U.S. Vice President Joe Biden.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> 'Standing at right looking on is U.S. Vice President Joe Biden .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# Standing at right looking on is U.S. Vice President Joe Biden. - -98800439ef00458ab4850e51c087575d 0 Standing at right looking on is U.S. Vice President Joe Biden . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 379/527 # - -'Obama meeting with Israeli President Shimon Peres in the Oval Office, May 2009' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) - ├───s───> 'Shimon Peres is Obama meeting with Israeli President .' - └───n───> 'Shimon Peres in the Oval Office , May 2009' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# Obama meeting with Israeli President Shimon Peres in the Oval Office, May 2009 - -ccc2a24b8866432b9e327a632b5b9e4e 0 Shimon Peres in the Oval Office , May 2009 - L:ELABORATION dbab98a7e205480c8d380f293e5af095 - -dbab98a7e205480c8d380f293e5af095 1 Shimon Peres is Obama meeting with Israeli President . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 380/527 # - -'In 2011, the United States vetoed a Security Council resolution condemning Israeli settlements, with the United States being the only nation to do so.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/IDENTIFYING_DEFINITION ('', RestrictiveParticipialExtractor) - ├───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - | ├─────────────s─────────────> 'This was in 2011 .' - | └───n───> SUB/SPATIAL (NULL, PrepositionalMiddleFinalExtractor) - | ├───s───> CO/UNKNOWN_COORDINATION (NULL, SharedNPPostParticipalExtractor) - | | ├───n───> 'This was with the United States .' - | | └───n───> 'This was being the only nation to do so .' - | └────────n────────> 'The United States vetoed a Security Council resolution .' - └──────────────────s──────────────────> 'A Security Council resolution was condemning Israeli settlements .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# In 2011, the United States vetoed a Security Council resolution condemning Israeli settlements, with the United States being the only nation to do so. - -aee7128bbaa042cb8ce9047e718e3ce0 0 The United States vetoed a Security Council resolution . - S:TEMPORAL This was in 2011 . - L:SPATIAL 550c22ebb14a4483890cbdbffe817039 - L:SPATIAL a1b400ba685f4a8b9a264bff17ece598 - L:IDENTIFYING_DEFINITION 68bdd9f070fd49cd8ee03850c3eb216a - -550c22ebb14a4483890cbdbffe817039 1 This was with the United States . - -a1b400ba685f4a8b9a264bff17ece598 1 This was being the only nation to do so . - -68bdd9f070fd49cd8ee03850c3eb216a 1 A Security Council resolution was condemning Israeli settlements . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 381/527 # - -'Obama supports the two-state solution to the Arab–Israeli conflict based on the 1967 borders with land swaps.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> 'Obama supports the two-state solution to the Arab -- Israeli conflict based on the 1967 borders with land swaps .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# Obama supports the two-state solution to the Arab–Israeli conflict based on the 1967 borders with land swaps. - -3f6d788efab549dca5ade25248330a1f 0 Obama supports the two-state solution to the Arab -- Israeli conflict based on the 1967 borders with land swaps . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 382/527 # - -'In June 2011, Obama said that the bond between the United States and Israel is unbreakable.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/ATTRIBUTION (NULL, SubordinationPostAttributionExtractor2) - ├───s───> 'This was what Obama said in June 2011 .' - └───n───> 'The bond between the United States and Israel is unbreakable .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# In June 2011, Obama said that the bond between the United States and Israel is unbreakable. - -7b991b572c244b21b68da917ef2764cb 0 The bond between the United States and Israel is unbreakable . - S:ATTRIBUTION This was what Obama said in June 2011 . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 383/527 # - -'During the initial years of the Obama administration, the U.S. increased military cooperation with Israel, including increased military aid, re-establishment of the U.S.-Israeli Joint Political Military Group and the Defense Policy Advisory Group, and an increase in visits among high-level military officials of both countries.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) - ├────────────────────────────s────────────────────────────> 'This was with Israel .' - └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalInitialExtractor) - ├───────────────────────s───────────────────────> 'This was during the initial years of the Obama administration .' - └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalMiddleFinalExtractor) - ├──────────────────s──────────────────> 'This was including increased military aid .' - └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - ├─────────────s─────────────> 'This was among high-level military officials of both countries .' - └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - ├────────s────────> 'This was in visits .' - └───n───> CO/LIST (NULL, PostListNPExtractor) - ├───n───> 'The U.S. increased military cooperation .' - ├───n───> 'The U.S. increased re-establishment of the U.S.-Israeli Joint Political Military Group and the Defense Policy Advisory Group .' - └───n───> 'The U.S. increased an increase .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# During the initial years of the Obama administration, the U.S. increased military cooperation with Israel, including increased military aid, re-establishment of the U.S.-Israeli Joint Political Military Group and the Defense Policy Advisory Group, and an increase in visits among high-level military officials of both countries. - -70b2436db22540e1aada4e54be3da6e2 0 The U.S. increased military cooperation . - S:UNKNOWN_SUBORDINATION This was in visits . - S:UNKNOWN_SUBORDINATION This was among high-level military officials of both countries . - S:UNKNOWN_SUBORDINATION This was including increased military aid . - S:UNKNOWN_SUBORDINATION This was during the initial years of the Obama administration . - S:SPATIAL This was with Israel . - L:LIST ff9d3850fa224e24a7fcc86d6b40a591 - L:LIST 590a457e8b754e98a1cd18a2cefd6680 - -ff9d3850fa224e24a7fcc86d6b40a591 0 The U.S. increased re-establishment of the U.S.-Israeli Joint Political Military Group and the Defense Policy Advisory Group . - S:UNKNOWN_SUBORDINATION This was in visits . - S:UNKNOWN_SUBORDINATION This was among high-level military officials of both countries . - S:UNKNOWN_SUBORDINATION This was including increased military aid . - S:UNKNOWN_SUBORDINATION This was during the initial years of the Obama administration . - S:SPATIAL This was with Israel . - L:LIST 590a457e8b754e98a1cd18a2cefd6680 - L:LIST 70b2436db22540e1aada4e54be3da6e2 - -590a457e8b754e98a1cd18a2cefd6680 0 The U.S. increased an increase . - S:UNKNOWN_SUBORDINATION This was in visits . - S:UNKNOWN_SUBORDINATION This was among high-level military officials of both countries . - S:UNKNOWN_SUBORDINATION This was including increased military aid . - S:UNKNOWN_SUBORDINATION This was during the initial years of the Obama administration . - S:SPATIAL This was with Israel . - L:LIST 70b2436db22540e1aada4e54be3da6e2 - L:LIST ff9d3850fa224e24a7fcc86d6b40a591 - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 384/527 # - -'The Obama administration asked Congress to allocate money toward funding the Iron Dome program in response to the waves of Palestinian rocket attacks on Israel.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) - ├───s───> 'This was toward funding the Iron Dome program in response to the waves of Palestinian rocket attacks on Israel .' - └───n───> 'The Obama administration asked Congress to allocate money .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# The Obama administration asked Congress to allocate money toward funding the Iron Dome program in response to the waves of Palestinian rocket attacks on Israel. - -3707da2927864ffb8d46fda00cde15a5 0 The Obama administration asked Congress to allocate money . - S:SPATIAL This was toward funding the Iron Dome program in response to the waves of Palestinian rocket attacks on Israel . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 385/527 # - -'In 2013, Jeffrey Goldberg reported that, in Obama's view, with each new settlement announcement, Netanyahu is moving his country down a path toward near-total isolation.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/ATTRIBUTION (NULL, SubordinationPostAttributionExtractor2) - ├─────────────s─────────────> 'This was what Jeffrey Goldberg reported in 2013 .' - └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalInitialExtractor) - ├────────s────────> 'This is in Obama 's view .' - └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalInitialExtractor) - ├───s───> 'This is with each new settlement announcement .' - └───n───> 'Netanyahu is moving his country down a path toward near-total isolation .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# In 2013, Jeffrey Goldberg reported that, in Obama's view, with each new settlement announcement, Netanyahu is moving his country down a path toward near-total isolation. - -85e01a1cee7d48b9932432185d3e3915 0 Netanyahu is moving his country down a path toward near-total isolation . - S:UNKNOWN_SUBORDINATION This is with each new settlement announcement . - S:UNKNOWN_SUBORDINATION This is in Obama 's view . - S:ATTRIBUTION This was what Jeffrey Goldberg reported in 2013 . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 386/527 # - -'In 2014, Obama likened the Zionist movement to the Civil Rights Movement in the United States.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - ├─────────────s─────────────> 'This was to the Civil Rights Movement .' - └───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) - ├────────s────────> 'This was in the United States .' - └───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - ├───s───> 'This was in 2014 .' - └───n───> 'Obama likened the Zionist movement .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# In 2014, Obama likened the Zionist movement to the Civil Rights Movement in the United States. - -6ad397f5113d414cb933fc1605daca75 0 Obama likened the Zionist movement . - S:TEMPORAL This was in 2014 . - S:SPATIAL This was in the United States . - S:UNKNOWN_SUBORDINATION This was to the Civil Rights Movement . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 387/527 # - -'He said that both movements seek to bring justice and equal rights to historically persecuted peoples.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/ATTRIBUTION (NULL, SubordinationPostAttributionExtractor2) - ├────────s────────> 'This was what he said .' - └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - ├───s───> 'This is to historically persecuted peoples .' - └───n───> 'Both movements seek to bring justice and equal rights .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# He said that both movements seek to bring justice and equal rights to historically persecuted peoples. - -5b8a1a47d70a4ccda2a4415bc5d32166 0 Both movements seek to bring justice and equal rights . - S:UNKNOWN_SUBORDINATION This is to historically persecuted peoples . - S:ATTRIBUTION This was what he said . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 388/527 # - -'He explained, To me, being pro-Israel and pro-Jewish is part and parcel with the values that I've been fighting for since I was politically conscious and started getting involved in politics.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> CO/UNKNOWN_COORDINATION (NULL, SharedNPPostParticipalExtractor) - ├─────────────n─────────────> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalMiddleFinalExtractor) - | ├───s───> 'This was to me .' - | └───n───> 'He explained .' - └───n───> CO/LIST ('and', CoordinationExtractor) - ├─────────────n─────────────> 'He was being pro-Israel .' - └───n───> SUB/UNKNOWN_SUBORDINATION ('that', SubordinationPostExtractor) - ├────────n────────> 'Pro-Jewish is part and parcel with the values .' - └───s───> CO/LIST ('and', SharedNPPostCoordinationExtractor) - ├───n───> 'I 've been fighting for since I was politically conscious .' - └───n───> 'I 've started getting involved in politics .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# He explained, To me, being pro-Israel and pro-Jewish is part and parcel with the values that I've been fighting for since I was politically conscious and started getting involved in politics. - -2b838d6bf92940f7a6b9ef925f253241 0 He explained . - S:UNKNOWN_SUBORDINATION This was to me . - -1c1086dffa084adcbef97a0c6e4d04d8 0 He was being pro-Israel . - L:LIST 84d2db110a74421dafd5ec005283423b - -84d2db110a74421dafd5ec005283423b 0 Pro-Jewish is part and parcel with the values . - L:UNKNOWN_SUBORDINATION 2ccc25e65ce14b8989647f781326f15f - L:UNKNOWN_SUBORDINATION 171d762bc9604b6fa29f722f6dd6fddc - L:LIST 1c1086dffa084adcbef97a0c6e4d04d8 - -2ccc25e65ce14b8989647f781326f15f 1 I 've been fighting for since I was politically conscious . - L:LIST 171d762bc9604b6fa29f722f6dd6fddc - -171d762bc9604b6fa29f722f6dd6fddc 1 I 've started getting involved in politics . - L:LIST 2ccc25e65ce14b8989647f781326f15f - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 389/527 # - -'Obama expressed support for Israel's right to defend itself during the 2014 Israel–Gaza conflict.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) - ├───s───> 'This was for Israel 's right to defend itself during the 2014 Israel -- Gaza conflict .' - └───n───> 'Obama expressed support .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# Obama expressed support for Israel's right to defend itself during the 2014 Israel–Gaza conflict. - -687664a58ace4292a14b39bf8bd1ccba 0 Obama expressed support . - S:SPATIAL This was for Israel 's right to defend itself during the 2014 Israel -- Gaza conflict . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 390/527 # - -'In 2015, Obama was harshly criticized by Israel for advocating and signing the Iran Nuclear Deal; Israeli Prime Minister Benjamin Netanyahu, who had advocated the U.S. congress to oppose it, said the deal was dangerous and bad.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> CO/UNKNOWN_COORDINATION (';', CoordinationExtractor) - ├────────n────────> CO/UNKNOWN_COORDINATION (NULL, SharedNPPostParticipalExtractor) - | ├───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - | | ├───s───> 'This was in 2015 .' - | | └───n───> 'Obama was harshly criticized by Israel .' - | └───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - | ├───s───> 'This was in 2015 .' - | └───n───> 'Obama was advocating and signing the Iran Nuclear Deal .' - └───n───> SUB/DESCRIBING_DEFINITION ('who', NonRestrictiveRelativeClauseWhoWhichExtractor) - ├───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) - | ├────────s────────> 'Benjamin Netanyahu was Israeli Prime Minister .' - | └───n───> SUB/ATTRIBUTION (NULL, SubordinationPostAttributionExtractor) - | ├───s───> 'This was what Benjamin Netanyahu said .' - | └───n───> 'The deal was dangerous and bad .' - └───s───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) - ├────────s────────> 'Benjamin Netanyahu was Israeli Prime Minister .' - └───n───> SUB/PURPOSE (NULL, PurposePostExtractor) - ├───n───> 'Benjamin Netanyahu had advocated the U.S. congress .' - └───s───> 'This was to oppose it .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# In 2015, Obama was harshly criticized by Israel for advocating and signing the Iran Nuclear Deal; Israeli Prime Minister Benjamin Netanyahu, who had advocated the U.S. congress to oppose it, said the deal was dangerous and bad. - -0a3f9dbae5d8482f8d84cadc936b2484 0 Obama was harshly criticized by Israel . - S:TEMPORAL This was in 2015 . - -7380e2c967c74732ba14323c36284abb 0 Obama was advocating and signing the Iran Nuclear Deal . - S:TEMPORAL This was in 2015 . - -e470135ba9fe4e34a7558c43d218b76d 0 The deal was dangerous and bad . - S:ATTRIBUTION This was what Benjamin Netanyahu said . - L:ELABORATION 9454a471e8c1452cb22dddbf899b1273 - L:DESCRIBING_DEFINITION beabab97e0b0471db83b969d710d6818 - -9454a471e8c1452cb22dddbf899b1273 1 Benjamin Netanyahu was Israeli Prime Minister . - -beabab97e0b0471db83b969d710d6818 1 Benjamin Netanyahu had advocated the U.S. congress . - S:PURPOSE This was to oppose it . - L:ELABORATION 51b2c960d6bb4428aa6c53fe204dab28 - -51b2c960d6bb4428aa6c53fe204dab28 2 Benjamin Netanyahu was Israeli Prime Minister . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 391/527 # - -'On December 23, 2016, under the Obama Administration, the United States abstained from United Nations Security Council Resolution 2334, effectively allowing it to pass.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - ├────────s────────> 'This was on December 23 , 2016 .' - └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalInitialExtractor) - ├───s───> 'This was under the Obama Administration .' - └───n───> 'The United States abstained from United Nations Security Council Resolution 2334 , effectively allowing it to pass .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# On December 23, 2016, under the Obama Administration, the United States abstained from United Nations Security Council Resolution 2334, effectively allowing it to pass. - -3575ad71f88644e99f474056d4090e3b 0 The United States abstained from United Nations Security Council Resolution 2334 , effectively allowing it to pass . - S:UNKNOWN_SUBORDINATION This was under the Obama Administration . - S:TEMPORAL This was on December 23 , 2016 . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 392/527 # - -'Netanyahu strongly criticized the Administration's actions, and the Israeli government withdrew its annual dues from the organization, which totaled $6 million, on January 6, 2017.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> CO/LIST (', and', CoordinationExtractor) - ├─────────────n─────────────> 'Netanyahu strongly criticized the Administration 's actions .' - └───n───> SUB/DESCRIBING_DEFINITION ('which', NonRestrictiveRelativeClauseWhoWhichExtractor) - ├───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - | ├───s───> 'This was from the organization .' - | └───n───> 'The Israeli government withdrew its annual dues .' - └───s───> SUB/TEMPORAL (NULL, PrepositionalMiddleFinalExtractor) - ├───s───> 'This was on January 6 , 2017 .' - └───n───> 'The organization totaled $ 6 million .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# Netanyahu strongly criticized the Administration's actions, and the Israeli government withdrew its annual dues from the organization, which totaled $6 million, on January 6, 2017. - -3427ab2861fd4f268ebba35dc165cbd4 0 Netanyahu strongly criticized the Administration 's actions . - L:LIST 5450202dff5e4f8ea88053ac7053a828 - -5450202dff5e4f8ea88053ac7053a828 0 The Israeli government withdrew its annual dues . - S:UNKNOWN_SUBORDINATION This was from the organization . - L:DESCRIBING_DEFINITION 1dfcb0881355494a8ed25720adb5bc3f - L:LIST 3427ab2861fd4f268ebba35dc165cbd4 - -1dfcb0881355494a8ed25720adb5bc3f 1 The organization totaled $ 6 million . - S:TEMPORAL This was on January 6 , 2017 . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 393/527 # - -'On January 5, 2017, the United States House of Representatives voted 342–80 to condemn the UN Resolution.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) - ├─────────────s─────────────> 'House of Representatives was the United States .' - └───n───> SUB/IDENTIFYING_DEFINITION ('', RestrictiveRelativeClauseWithoutRelativePronounExtractor) - ├───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - | ├───s───> 'This was on January 5 , 2017 .' - | └───n───> 'House of Representatives voted 342 -- 80 .' - └────────s────────> 'To condemn the UN Resolution 342 -- 80 .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# On January 5, 2017, the United States House of Representatives voted 342–80 to condemn the UN Resolution. - -a1aaaf6fbc1947558d85d830b32867fb 0 House of Representatives voted 342 -- 80 . - S:TEMPORAL This was on January 5 , 2017 . - L:IDENTIFYING_DEFINITION 0392a3a571ef4ced8e97dfe53532a704 - L:ELABORATION a4f47b140703425ebf0b09c0317a9291 - -0392a3a571ef4ced8e97dfe53532a704 1 To condemn the UN Resolution 342 -- 80 . - -a4f47b140703425ebf0b09c0317a9291 1 House of Representatives was the United States . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 394/527 # - -'In February 2011, protests in Libya began against long-time dictator Muammar Gaddafi as part of the Arab Spring.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) - ├─────────────s─────────────> 'Muammar Gaddafi was long-time dictator .' - └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - ├────────s────────> 'This was as part of the Arab Spring .' - └───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - ├───s───> 'This was in February 2011 .' - └───n───> 'Protests in Libya began against Muammar Gaddafi .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# In February 2011, protests in Libya began against long-time dictator Muammar Gaddafi as part of the Arab Spring. - -17defa87dfef418998c99cc82cf31450 0 Protests in Libya began against Muammar Gaddafi . - S:TEMPORAL This was in February 2011 . - S:UNKNOWN_SUBORDINATION This was as part of the Arab Spring . - L:ELABORATION 205652e822f0451ca3556764d843192f - -205652e822f0451ca3556764d843192f 1 Muammar Gaddafi was long-time dictator . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 395/527 # - -'They soon turned violent.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> 'They soon turned violent .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# They soon turned violent. - -fc8385edf17745daa8d16d06270f2d74 0 They soon turned violent . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 396/527 # - -'In March, as forces loyal to Gaddafi advanced on rebels across Libya, calls for a no-fly zone came from around the world, including Europe, the Arab League, and a resolution passed unanimously by the U.S. Senate.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> CO/LIST (', and', CoordinationExtractor) - ├───n───> SUB/ELABORATION (NULL, NonRestrictiveAppositionExtractor) - | ├──────────────────s──────────────────> 'Europe was the Arab League .' - | └───n───> SUB/BACKGROUND ('as', SubordinationPreExtractor) - | ├────────s────────> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) - | | ├───s───> 'This was across Libya .' - | | └───n───> 'Forces loyal to Gaddafi advanced on rebels .' - | └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalInitialExtractor) - | ├────────s────────> 'This was in March .' - | └───n───> SUB/SPATIAL (NULL, PrepositionalMiddleFinalExtractor) - | ├───s───> 'This was including Europe .' - | └───n───> 'Calls for a no-fly zone came from around the world .' - └─────────────n─────────────> SUB/BACKGROUND ('as', SubordinationPreExtractor) - ├───s───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) - | ├───s───> 'This was across Libya .' - | └───n───> 'Forces loyal to Gaddafi advanced on rebels .' - └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalInitialExtractor) - ├───s───> 'This was in March .' - └───n───> 'A resolution passed unanimously by the U.S. Senate .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# In March, as forces loyal to Gaddafi advanced on rebels across Libya, calls for a no-fly zone came from around the world, including Europe, the Arab League, and a resolution passed unanimously by the U.S. Senate. - -baf106949c0b42df9f15c146fccc6902 0 Calls for a no-fly zone came from around the world . - S:SPATIAL This was including Europe . - S:UNKNOWN_SUBORDINATION This was in March . - L:BACKGROUND bce082ad53624f69ba9aca4a04ed702f - L:ELABORATION 347bbcf038f44923af15cd71527086bf - L:LIST 188f5fa7b69c45d2ba8b93e280e5d8b9 - -bce082ad53624f69ba9aca4a04ed702f 1 Forces loyal to Gaddafi advanced on rebels . - S:SPATIAL This was across Libya . - -347bbcf038f44923af15cd71527086bf 1 Europe was the Arab League . - -188f5fa7b69c45d2ba8b93e280e5d8b9 0 A resolution passed unanimously by the U.S. Senate . - S:UNKNOWN_SUBORDINATION This was in March . - L:BACKGROUND 5aaf016ad0a74edd88c872f475e4ad06 - L:LIST baf106949c0b42df9f15c146fccc6902 - -5aaf016ad0a74edd88c872f475e4ad06 1 Forces loyal to Gaddafi advanced on rebels . - S:SPATIAL This was across Libya . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 397/527 # - -'In response to the unanimous passage of United Nations Security Council Resolution 1973 on March 17, Gaddafi—who had previously vowed to show no mercy to the rebels of Benghazi—announced an immediate cessation of military activities, yet reports came in that his forces continued shelling Misrata.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> CO/CONTRAST (', yet', CoordinationExtractor) - ├────────n────────> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - | ├───s───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) - | | ├───s───> 'This was to the unanimous passage of United Nations Security Council Resolution 1973 on March 17 .' - | | └───n───> 'This was in response .' - | └────────n────────> 'Gaddafi -- who had previously vowed to show no mercy to the rebels of Benghazi -- announced an immediate cessation of military activities .' - └───n───> SUB/UNKNOWN_SUBORDINATION ('that', SubordinationPostExtractor) - ├───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - | ├───s───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) - | | ├───s───> 'This was to the unanimous passage of United Nations Security Council Resolution 1973 on March 17 .' - | | └───n───> 'This was in response .' - | └────────n────────> 'Reports came in .' - └─────────────s─────────────> 'His forces continued shelling Misrata .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# In response to the unanimous passage of United Nations Security Council Resolution 1973 on March 17, Gaddafi—who had previously vowed to show no mercy to the rebels of Benghazi—announced an immediate cessation of military activities, yet reports came in that his forces continued shelling Misrata. - -721fac095b174df7a7d2d74fadda14ad 0 Gaddafi -- who had previously vowed to show no mercy to the rebels of Benghazi -- announced an immediate cessation of military activities . - L:TEMPORAL d712ccb7a9ee4b21b4766026c4f387bd - L:CONTRAST e49492e810404bd6aab095b346ee1520 - -d712ccb7a9ee4b21b4766026c4f387bd 1 This was in response . - S:TEMPORAL This was to the unanimous passage of United Nations Security Council Resolution 1973 on March 17 . - -e49492e810404bd6aab095b346ee1520 0 Reports came in . - L:TEMPORAL 35abeed0327e420faef3316bdfa3aec9 - L:UNKNOWN_SUBORDINATION 414283859009442291e42084c27fa850 - L:CONTRAST 721fac095b174df7a7d2d74fadda14ad - -35abeed0327e420faef3316bdfa3aec9 1 This was in response . - S:TEMPORAL This was to the unanimous passage of United Nations Security Council Resolution 1973 on March 17 . - -414283859009442291e42084c27fa850 1 His forces continued shelling Misrata . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 398/527 # - -'The next day, on Obama's orders, the U.S. military took part in air strikes to destroy the Libyan government's air defense capabilities to protect civilians and enforce a no-fly-zone, including the use of Tomahawk missiles, B-2 Spirits, and fighter jets.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/PURPOSE (NULL, PurposePostExtractor) - ├───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - | ├────────s────────> 'This was in air strikes .' - | └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalMiddleFinalExtractor) - | ├───s───> 'This was on Obama 's orders .' - | └───n───> 'The next day the U.S. military took part .' - └─────────────s─────────────> 'This was to destroy the Libyan government 's air defense capabilities to protect civilians and enforce a no-fly-zone , including the use of Tomahawk missiles , B-2 Spirits , and fighter jets .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# The next day, on Obama's orders, the U.S. military took part in air strikes to destroy the Libyan government's air defense capabilities to protect civilians and enforce a no-fly-zone, including the use of Tomahawk missiles, B-2 Spirits, and fighter jets. - -0bc9d226ee524570bfe3cac7c7fd1fa8 0 The next day the U.S. military took part . - S:UNKNOWN_SUBORDINATION This was on Obama 's orders . - S:UNKNOWN_SUBORDINATION This was in air strikes . - S:PURPOSE This was to destroy the Libyan government 's air defense capabilities to protect civilians and enforce a no-fly-zone , including the use of Tomahawk missiles , B-2 Spirits , and fighter jets . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 399/527 # - -'Six days later, on March 25, by unanimous vote of all of its 28 members, NATO took over leadership of the effort, dubbed Operation Unified Protector.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/UNKNOWN_SUBORDINATION ('', ParticipialMiddleExtractor) - ├───n───> SUB/TEMPORAL (NULL, PrepositionalMiddleFinalExtractor) - | ├────────s────────> 'This was on March 25 .' - | └───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - | ├───s───> 'This was six days later by unanimous vote of all of its 28 members .' - | └───n───> 'NATO took over leadership of the effort .' - └─────────────s─────────────> 'The effort was dubbed Operation Unified Protector .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# Six days later, on March 25, by unanimous vote of all of its 28 members, NATO took over leadership of the effort, dubbed Operation Unified Protector. - -d6eda140de844f24826511ad4aa4f39c 0 NATO took over leadership of the effort . - S:TEMPORAL This was six days later by unanimous vote of all of its 28 members . - S:TEMPORAL This was on March 25 . - L:UNKNOWN_SUBORDINATION 2a25fa30452f4757898e43c32a2d84db - -2a25fa30452f4757898e43c32a2d84db 1 The effort was dubbed Operation Unified Protector . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 400/527 # - -'Some Representatives questioned whether Obama had the constitutional authority to order military action in addition to questioning its cost, structure and aftermath.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/ATTRIBUTION (NULL, SubordinationPostAttributionExtractor) - ├────────s────────> 'This was what some Representatives questioned .' - └───n───> CO/LIST (NULL, PostListNPExtractor) - ├───n───> 'Whether Obama had the constitutional authority to order military action in addition to questioning its cost .' - ├───n───> 'Whether Obama had the constitutional authority to order military action in addition to questioning structure .' - └───n───> 'Whether Obama had the constitutional authority to order military action in addition to questioning aftermath .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# Some Representatives questioned whether Obama had the constitutional authority to order military action in addition to questioning its cost, structure and aftermath. - -2d2f6b7f9fbc4635a0136e47dddeaa96 0 Whether Obama had the constitutional authority to order military action in addition to questioning its cost . - S:ATTRIBUTION This was what some Representatives questioned . - L:LIST 36675318db6448a19ad29f1d67be348f - L:LIST e3ff8abac11a44ee9520cb05e3381947 - -36675318db6448a19ad29f1d67be348f 0 Whether Obama had the constitutional authority to order military action in addition to questioning structure . - S:ATTRIBUTION This was what some Representatives questioned . - L:LIST e3ff8abac11a44ee9520cb05e3381947 - L:LIST 2d2f6b7f9fbc4635a0136e47dddeaa96 - -e3ff8abac11a44ee9520cb05e3381947 0 Whether Obama had the constitutional authority to order military action in addition to questioning aftermath . - S:ATTRIBUTION This was what some Representatives questioned . - L:LIST 2d2f6b7f9fbc4635a0136e47dddeaa96 - L:LIST 36675318db6448a19ad29f1d67be348f - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 401/527 # - -'On August 18, 2011, several months after the start of the Syrian Civil War, Obama issued a written statement that said: The time has come for President Assad to step aside.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> CO/UNKNOWN_COORDINATION (':', CoordinationExtractor) - ├───n───> SUB/IDENTIFYING_DEFINITION ('that', RestrictiveRelativeClauseWhoWhichExtractor) - | ├───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - | | ├─────────────s─────────────> 'This was on August 18 , 2011 .' - | | └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalInitialExtractor) - | | ├───s───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - | | | ├───s───> 'This was after the start of the Syrian Civil War .' - | | | └───n───> 'This was several months .' - | | └────────n────────> 'Obama issued a written statement .' - | └──────────────────s──────────────────> 'A written statement said .' - └────────n────────> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) - ├─────────────s─────────────> 'Assad was President .' - └───n───> SUB/PURPOSE (NULL, PurposePostExtractor) - ├───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - | ├───s───> 'This was on August 18 , 2011 .' - | └───n───> 'The time has come for Assad .' - └────────s────────> 'This was to step aside .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# On August 18, 2011, several months after the start of the Syrian Civil War, Obama issued a written statement that said: The time has come for President Assad to step aside. - -92137a04f2964366a2084e796d91e3fc 0 Obama issued a written statement . - S:TEMPORAL This was on August 18 , 2011 . - L:UNKNOWN_SUBORDINATION 9d5b6754bd1d42a5a6832ca171dd8389 - L:IDENTIFYING_DEFINITION 56aff8ec480346eab040798663c3e6f2 - -9d5b6754bd1d42a5a6832ca171dd8389 1 This was several months . - S:UNKNOWN_SUBORDINATION This was after the start of the Syrian Civil War . - -56aff8ec480346eab040798663c3e6f2 1 A written statement said . - -9b66a16f3e724627a222872b1a83b6d7 0 The time has come for Assad . - S:TEMPORAL This was on August 18 , 2011 . - S:PURPOSE This was to step aside . - L:ELABORATION 2a2842dda74d4c469ddefc4caf233136 - -2a2842dda74d4c469ddefc4caf233136 1 Assad was President . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 402/527 # - -'This stance was reaffirmed in November 2015.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> 'This stance was reaffirmed in November 2015 .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# This stance was reaffirmed in November 2015. - -4f3ba1d0f0ac4544a22efcb90a65d207 0 This stance was reaffirmed in November 2015 . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 403/527 # - -'In 2012, Obama authorized multiple programs run by the CIA and the Pentagon to train anti-Assad rebels.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/IDENTIFYING_DEFINITION ('', RestrictiveParticipialExtractor) - ├────────n────────> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - | ├───s───> 'This was in 2012 .' - | └───n───> 'Obama authorized multiple programs .' - └───s───> SUB/PURPOSE (NULL, PurposePostExtractor) - ├───n───> CO/LIST (NULL, PostListNPExtractor) - | ├───n───> 'Multiple programs were run by the CIA .' - | └───n───> 'Multiple programs were run by the Pentagon .' - └────────s────────> 'This was to train anti-Assad rebels .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# In 2012, Obama authorized multiple programs run by the CIA and the Pentagon to train anti-Assad rebels. - -cef2ec79b1f14fcba9f56ba73fef819f 0 Obama authorized multiple programs . - S:TEMPORAL This was in 2012 . - L:IDENTIFYING_DEFINITION 55fee3b211b5481b823182c55c11a0b0 - L:IDENTIFYING_DEFINITION d02d80032150438692e0014ace1e3967 - -55fee3b211b5481b823182c55c11a0b0 1 Multiple programs were run by the CIA . - S:PURPOSE This was to train anti-Assad rebels . - L:LIST d02d80032150438692e0014ace1e3967 - -d02d80032150438692e0014ace1e3967 1 Multiple programs were run by the Pentagon . - S:PURPOSE This was to train anti-Assad rebels . - L:LIST 55fee3b211b5481b823182c55c11a0b0 - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 404/527 # - -'The Pentagon-run program was later found to have failed and was formally abandoned in October 2015.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> CO/LIST ('and', SharedNPPostCoordinationExtractor) - ├───n───> 'The Pentagon-run program was later found to have failed .' - └───n───> 'The Pentagon-run program was formally abandoned in October 2015 .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# The Pentagon-run program was later found to have failed and was formally abandoned in October 2015. - -c4d76eae6a49480a9213bd9d1964cb3c 0 The Pentagon-run program was later found to have failed . - L:LIST b32720b07a2042d69013dfd4a95232d5 - -b32720b07a2042d69013dfd4a95232d5 0 The Pentagon-run program was formally abandoned in October 2015 . - L:LIST c4d76eae6a49480a9213bd9d1964cb3c - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 405/527 # - -'In the wake of a chemical weapons attack in Syria, formally blamed by the Obama administration on the Assad government, Obama chose not to enforce the red line he had pledged and, rather than authorize the promised military action against Assad, went along with the Russia-brokered deal that led to Assad giving up chemical weapons; however attacks with chlorine gas continued.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> CO/UNKNOWN_COORDINATION (';', CoordinationExtractor) - └───n───> CO/CONTRAST ('However', ReferenceInitialAdverbialExtractor) - ├───n───> CO/CONTRAST ('and , rather than authorize the promised military action against Assad ,', SharedNPPostCoordinationExtractor) - | ├───n───> SUB/UNKNOWN_SUBORDINATION ('', ParticipialMiddleExtractor) - | | ├───n───> SUB/IDENTIFYING_DEFINITION ('', RestrictiveRelativeClauseWithoutRelativePronounExtractor) - | | | ├───n───> SUB/SPATIAL (NULL, PrepositionalInitialExtractor) - | | | | ├───s───> 'This was in the wake of a chemical weapons attack in Syria .' - | | | | └───n───> 'Obama chose not to enforce the red line .' - | | | └────────s────────> 'He had pledged the red line .' - | | └────────s────────> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - | | ├───s───> 'This was on the Assad government .' - | | └───n───> 'The wake of a chemical weapons attack in Syria was formally blamed by the Obama administration .' - | └───n───> SUB/UNKNOWN_SUBORDINATION ('', ParticipialMiddleExtractor) - | ├───n───> SUB/IDENTIFYING_DEFINITION ('that', RestrictiveRelativeClauseWhoWhichExtractor) - | | ├───n───> SUB/SPATIAL (NULL, PrepositionalInitialExtractor) - | | | ├───s───> 'This was in the wake of a chemical weapons attack in Syria .' - | | | └───n───> 'Obama went along with the Russia-brokered deal .' - | | └───s───> CO/UNKNOWN_COORDINATION (NULL, SharedNPPostParticipalExtractor) - | | ├───n───> 'The Russia-brokered deal led to Assad .' - | | └───n───> 'The Russia-brokered deal was giving up chemical weapons .' - | └────────s────────> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - | ├───s───> 'This was on the Assad government .' - | └───n───> 'The wake of a chemical weapons attack in Syria was formally blamed by the Obama administration .' - └───────────────────────n───────────────────────> 'Attacks with chlorine gas continued .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# In the wake of a chemical weapons attack in Syria, formally blamed by the Obama administration on the Assad government, Obama chose not to enforce the red line he had pledged and, rather than authorize the promised military action against Assad, went along with the Russia-brokered deal that led to Assad giving up chemical weapons; however attacks with chlorine gas continued. - -da1dbb646c6d481d8ad74033b77fd46c 0 Obama chose not to enforce the red line . - S:SPATIAL This was in the wake of a chemical weapons attack in Syria . - L:IDENTIFYING_DEFINITION c7dee109c41847a4b16f226664c64e1d - L:UNKNOWN_SUBORDINATION 8aa17f41efef4381aae9271765d719ed - L:CONTRAST c635cff77a3e4a428fac5cef33946649 - L:CONTRAST a40eba3db0ad45cb99ac54c318175bc7 - -c7dee109c41847a4b16f226664c64e1d 1 He had pledged the red line . - -8aa17f41efef4381aae9271765d719ed 1 The wake of a chemical weapons attack in Syria was formally blamed by the Obama administration . - S:UNKNOWN_SUBORDINATION This was on the Assad government . - -c635cff77a3e4a428fac5cef33946649 0 Obama went along with the Russia-brokered deal . - S:SPATIAL This was in the wake of a chemical weapons attack in Syria . - L:IDENTIFYING_DEFINITION af3fcba303cc405da1b1c9d437a14f19 - L:IDENTIFYING_DEFINITION 710aa3cfdefc44b3adbf3246121077e3 - L:UNKNOWN_SUBORDINATION f03de87a01b24b11b08203b734a1ada5 - L:CONTRAST da1dbb646c6d481d8ad74033b77fd46c - L:CONTRAST a40eba3db0ad45cb99ac54c318175bc7 - -af3fcba303cc405da1b1c9d437a14f19 1 The Russia-brokered deal led to Assad . - -710aa3cfdefc44b3adbf3246121077e3 1 The Russia-brokered deal was giving up chemical weapons . - -f03de87a01b24b11b08203b734a1ada5 1 The wake of a chemical weapons attack in Syria was formally blamed by the Obama administration . - S:UNKNOWN_SUBORDINATION This was on the Assad government . - -a40eba3db0ad45cb99ac54c318175bc7 0 Attacks with chlorine gas continued . - L:CONTRAST da1dbb646c6d481d8ad74033b77fd46c - L:CONTRAST c635cff77a3e4a428fac5cef33946649 - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 406/527 # - -'In 2014, Obama authorized an air campaign aimed primarily at ISIL, but repeatedly promised that the U.S. would not deploy ground troops in Syria.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/UNKNOWN_SUBORDINATION ('', SubordinationPostExtractor) - ├─────────────n─────────────> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - | ├───s───> 'This was in 2014 .' - | └───n───> 'Obama authorized .' - └───s───> CO/CONTRAST (', but', SharedNPPostCoordinationExtractor) - ├─────────────n─────────────> 'An air campaign aimed primarily at ISIL .' - └───n───> SUB/UNKNOWN_SUBORDINATION ('that', SubordinationPostExtractor) - ├────────n────────> 'An air campaign repeatedly promised .' - └───s───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) - ├───s───> 'This is in Syria .' - └───n───> 'The U.S. would not deploy ground troops .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# In 2014, Obama authorized an air campaign aimed primarily at ISIL, but repeatedly promised that the U.S. would not deploy ground troops in Syria. - -b0424572f0894d5dbb44b8f42ea3732d 0 Obama authorized . - S:TEMPORAL This was in 2014 . - L:UNKNOWN_SUBORDINATION 5a2d7652f2b94b219621ef4c3be4657c - L:UNKNOWN_SUBORDINATION d15facfea7ca4c86b64948eb994f55ac - -5a2d7652f2b94b219621ef4c3be4657c 1 An air campaign aimed primarily at ISIL . - L:CONTRAST d15facfea7ca4c86b64948eb994f55ac - -d15facfea7ca4c86b64948eb994f55ac 1 An air campaign repeatedly promised . - L:UNKNOWN_SUBORDINATION 431a934560104612a050df7562ff0d23 - L:CONTRAST 5a2d7652f2b94b219621ef4c3be4657c - -431a934560104612a050df7562ff0d23 2 The U.S. would not deploy ground troops . - S:SPATIAL This is in Syria . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 407/527 # - -'President Barack Obama and Vice President Joe Biden, along with members of the national security team, receive an update on Operation Neptune's Spear, a mission against Osama bin Laden, in one of the conference rooms of the Situation Room of the White House, on May 1, 2011.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) - ├─────────────────────────────────s─────────────────────────────────> 'Barack Obama is President .' - └───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) - ├───────────────────────s───────────────────────> CO/LIST (NULL, PostListNPExtractor) - | ├───n───> 'Joe Biden is Barack Obama .' - | └───n───> 'Joe Biden is Vice .' - └───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) - ├───────────────────────s───────────────────────> 'Neptune is Operation .' - └───n───> SUB/ELABORATION (NULL, NonRestrictiveAppositionExtractor) - ├──────────────────s──────────────────> 'A mission against Osama bin Laden is Neptune 's Spear .' - └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, AdjectivalAdverbialMiddleFinalExtractor) - ├─────────────s─────────────> 'This is along with members of the national security team .' - └───n───> SUB/TEMPORAL (NULL, PrepositionalMiddleFinalExtractor) - ├────────s────────> 'This is on May 1 , 2011 .' - └───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) - ├───s───> 'This is on Neptune 's Spear in one of the conference rooms of the Situation Room of the White House .' - └───n───> 'Joe Biden receive an update .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# President Barack Obama and Vice President Joe Biden, along with members of the national security team, receive an update on Operation Neptune's Spear, a mission against Osama bin Laden, in one of the conference rooms of the Situation Room of the White House, on May 1, 2011. - -eeaaeffc2e0d4630a16b9b97d7bba1ab 0 Joe Biden receive an update . - S:TEMPORAL This is on Neptune 's Spear in one of the conference rooms of the Situation Room of the White House . - S:TEMPORAL This is on May 1 , 2011 . - S:UNKNOWN_SUBORDINATION This is along with members of the national security team . - L:ELABORATION 91fe5c9a46e24cdfac218a910de5b442 - L:ELABORATION e4650e9d2ea34a7ebf0ce250396383df - L:ELABORATION 5b1a0d4af117428ca2123574e0e1cbda - L:ELABORATION 7c3cd37ecbe6470bb7048bed86631589 - L:ELABORATION 02833fe22ec74caa92949f7797d7e960 - -91fe5c9a46e24cdfac218a910de5b442 1 A mission against Osama bin Laden is Neptune 's Spear . - -e4650e9d2ea34a7ebf0ce250396383df 1 Neptune is Operation . - -5b1a0d4af117428ca2123574e0e1cbda 1 Joe Biden is Barack Obama . - L:LIST 7c3cd37ecbe6470bb7048bed86631589 - -7c3cd37ecbe6470bb7048bed86631589 1 Joe Biden is Vice . - L:LIST 5b1a0d4af117428ca2123574e0e1cbda - -02833fe22ec74caa92949f7797d7e960 1 Barack Obama is President . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 408/527 # - -'They are watching live feed from drones operating over the bin Laden complex.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - ├───s───> SUB/IDENTIFYING_DEFINITION ('', RestrictiveParticipialExtractor) - | ├───n───> 'This is from drones .' - | └───s───> 'Drones are operating over the bin Laden complex .' - └────────n────────> 'They are watching live feed .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# They are watching live feed from drones operating over the bin Laden complex. - -f47d44722c0d4695a593be25fe322887 0 They are watching live feed . - L:UNKNOWN_SUBORDINATION 3043d7a9c721408f8eb24778c968fdfd - -3043d7a9c721408f8eb24778c968fdfd 1 This is from drones . - L:IDENTIFYING_DEFINITION 7216a737f7c54e20b29ce7f2e09ce391 - -7216a737f7c54e20b29ce7f2e09ce391 2 Drones are operating over the bin Laden complex . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 409/527 # - -'Obama and members of the national security team receive an update on Operation Neptune's Spear in the White House Situation Room, May 1, 2011.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) - ├───s───> 'This is on Operation Neptune 's Spear in the White House Situation Room , May 1 , 2011 .' - └───n───> 'Obama and members of the national security team receive an update .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# Obama and members of the national security team receive an update on Operation Neptune's Spear in the White House Situation Room, May 1, 2011. - -143273eb3854406a96e226625b8e0165 0 Obama and members of the national security team receive an update . - S:TEMPORAL This is on Operation Neptune 's Spear in the White House Situation Room , May 1 , 2011 . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 410/527 # - -'See also:' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> 'See also :' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# See also: - -dd6c32643ee340fb9e5f707b6cef8270 0 See also : - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 411/527 # - -'Situation Room' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> 'Situation Room' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# Situation Room - -b7d4432593914ca19f82900820dadad8 0 Situation Room - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 412/527 # - -'Starting with information received from Central Intelligence Agency operatives in July 2010, the CIA developed intelligence over the next several months that determined what they believed to be the hideout of Osama bin Laden.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/IDENTIFYING_DEFINITION ('that', RestrictiveRelativeClauseWhoWhichExtractor) - ├───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - | ├─────────────s─────────────> 'This was over the next several months .' - | └───n───> SUB/IDENTIFYING_DEFINITION ('', RestrictiveParticipialExtractor) - | ├───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalInitialExtractor) - | | ├───s───> 'This was starting with information .' - | | └───n───> 'The CIA developed intelligence .' - | └───s───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) - | ├───s───> 'This was in July 2010 .' - | └───n───> 'Information was received from Central Intelligence Agency operatives .' - └─────────────s─────────────> SUB/UNKNOWN_SUBORDINATION ('what', SubordinationPostExtractor) - ├───n───> 'Intelligence over the next several months determined .' - └───s───> 'They believed to be the hideout of Osama bin Laden .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# Starting with information received from Central Intelligence Agency operatives in July 2010, the CIA developed intelligence over the next several months that determined what they believed to be the hideout of Osama bin Laden. - -51ce9dd0850042f89ed8f2f4ec2d3ade 0 The CIA developed intelligence . - S:UNKNOWN_SUBORDINATION This was starting with information . - S:UNKNOWN_SUBORDINATION This was over the next several months . - L:IDENTIFYING_DEFINITION 375f8db363a9414f8c1532e80c53c511 - L:IDENTIFYING_DEFINITION 7f9dab308b3548218896444f5f9df20e - -375f8db363a9414f8c1532e80c53c511 1 Information was received from Central Intelligence Agency operatives . - S:TEMPORAL This was in July 2010 . - -7f9dab308b3548218896444f5f9df20e 1 Intelligence over the next several months determined . - L:UNKNOWN_SUBORDINATION 3bcfe03c0dbf45f9a9560952453c8b58 - -3bcfe03c0dbf45f9a9560952453c8b58 2 They believed to be the hideout of Osama bin Laden . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 413/527 # - -'He was living in seclusion in a large compound in Abbottabad, Pakistan, a suburban area 35 miles (56 km) from Islamabad.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/ELABORATION (NULL, NonRestrictiveAppositionExtractor) - ├────────s────────> CO/UNKNOWN_COORDINATION ('', SharedNPPreParticipalExtractor) - | ├───n───> 'Pakistan was abbottabad .' - | └───n───> 'Pakistan was a suburban area 35 miles -LRB- 56 km -RRB- .' - └───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) - ├────────s────────> 'This was from Islamabad .' - └───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) - ├───s───> 'This was in a large compound in Abbottabad , Pakistan .' - └───n───> 'He was living in seclusion .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# He was living in seclusion in a large compound in Abbottabad, Pakistan, a suburban area 35 miles (56 km) from Islamabad. - -cbd4599c272c49bdb7cb6dc87246e0f5 0 He was living in seclusion . - S:SPATIAL This was in a large compound in Abbottabad , Pakistan . - S:SPATIAL This was from Islamabad . - L:ELABORATION 9b4863adccc24709a7bbedb9faacd292 - L:ELABORATION 9d86459c4e284fca8b9816c1b209f069 - -9b4863adccc24709a7bbedb9faacd292 1 Pakistan was abbottabad . - -9d86459c4e284fca8b9816c1b209f069 1 Pakistan was a suburban area 35 miles -LRB- 56 km -RRB- . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 414/527 # - -'CIA head Leon Panetta reported this intelligence to President Obama in March 2011.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) - ├──────────────────s──────────────────> 'Leon Panetta was CIA head .' - └───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) - ├─────────────s─────────────> 'Obama was President .' - └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - ├────────s────────> 'This was to Obama .' - └───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) - ├───s───> 'This was in March 2011 .' - └───n───> 'Leon Panetta reported this intelligence .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# CIA head Leon Panetta reported this intelligence to President Obama in March 2011. - -e2506520fbdc4dff9e845e03b9cadeba 0 Leon Panetta reported this intelligence . - S:TEMPORAL This was in March 2011 . - S:UNKNOWN_SUBORDINATION This was to Obama . - L:ELABORATION 3fe6f19204cd4843acf486471113b494 - L:ELABORATION afb1c0bf367f4c598124b53dd2693441 - -3fe6f19204cd4843acf486471113b494 1 Obama was President . - -afb1c0bf367f4c598124b53dd2693441 1 Leon Panetta was CIA head . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 415/527 # - -'Meeting with his national security advisers over the course of the next six weeks, Obama rejected a plan to bomb the compound, and authorized a surgical raid to be conducted by United States Navy SEALs.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> CO/UNKNOWN_COORDINATION ('', SharedNPPreParticipalExtractor) - ├────────n────────> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) - | ├───s───> 'This was over the course of the next six weeks .' - | └───n───> 'Obama was meeting with his national security advisers .' - └───n───> CO/LIST (', and', SharedNPPostCoordinationExtractor) - ├────────n────────> 'Obama rejected a plan to bomb the compound .' - └───n───> SUB/PURPOSE (NULL, PurposePostExtractor) - ├───n───> 'Obama authorized a surgical raid .' - └───s───> 'This was to be conducted by United States Navy SEALs .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# Meeting with his national security advisers over the course of the next six weeks, Obama rejected a plan to bomb the compound, and authorized a surgical raid to be conducted by United States Navy SEALs. - -ef9a006ab4fd4bd085d62d4f63d46bb1 0 Obama was meeting with his national security advisers . - S:TEMPORAL This was over the course of the next six weeks . - -a65c19283fdd4c15b3084be83334a524 0 Obama rejected a plan to bomb the compound . - L:LIST 04f3a099c050484685fd93a51ac90be7 - -04f3a099c050484685fd93a51ac90be7 0 Obama authorized a surgical raid . - S:PURPOSE This was to be conducted by United States Navy SEALs . - L:LIST a65c19283fdd4c15b3084be83334a524 - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 416/527 # - -'The operation took place on May 1, 2011, and resulted in the shooting death of bin Laden and the seizure of papers, computer drives and disks from the compound.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> CO/LIST ('and', SharedNPPostCoordinationExtractor) - ├────────n────────> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) - | ├───s───> 'This was on May 1 , 2011 .' - | └───n───> 'The operation took place .' - └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - ├────────s────────> 'This was from the compound .' - └───n───> CO/LIST (NULL, PostListNPExtractor) - ├───n───> 'The operation resulted in the shooting death of bin Laden .' - └───n───> 'The operation resulted in the seizure of papers , computer drives and disks .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# The operation took place on May 1, 2011, and resulted in the shooting death of bin Laden and the seizure of papers, computer drives and disks from the compound. - -c6cba76781ce4a77ab4c6675bde900f3 0 The operation took place . - S:TEMPORAL This was on May 1 , 2011 . - L:LIST 029e22f23e064508ba0b1229a55afc08 - L:LIST 28eea314afba4213b0cb2910df6e8b18 - -029e22f23e064508ba0b1229a55afc08 0 The operation resulted in the shooting death of bin Laden . - S:UNKNOWN_SUBORDINATION This was from the compound . - L:LIST 28eea314afba4213b0cb2910df6e8b18 - L:LIST c6cba76781ce4a77ab4c6675bde900f3 - -28eea314afba4213b0cb2910df6e8b18 0 The operation resulted in the seizure of papers , computer drives and disks . - S:UNKNOWN_SUBORDINATION This was from the compound . - L:LIST 029e22f23e064508ba0b1229a55afc08 - L:LIST c6cba76781ce4a77ab4c6675bde900f3 - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 417/527 # - -'DNA testing was one of five methods used to positively identify bin Laden's corpse, which was buried at sea several hours later.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/DESCRIBING_DEFINITION ('which', NonRestrictiveRelativeClauseWhoWhichExtractor) - ├───n───> SUB/IDENTIFYING_DEFINITION ('', RestrictiveParticipialExtractor) - | ├───n───> 'DNA testing was one of five methods .' - | └───s───> 'Five methods were used to positively identify bin Laden 's corpse .' - └────────s────────> 'Bin Laden 's corpse was buried at sea several hours later .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# DNA testing was one of five methods used to positively identify bin Laden's corpse, which was buried at sea several hours later. - -d14ddad22ed44e09bdbda25d98c0a55d 0 DNA testing was one of five methods . - L:IDENTIFYING_DEFINITION c89f04c41bec4ff8bcf54f0334085d1c - L:DESCRIBING_DEFINITION 752b08b42f5444b9b924cc4708ed468a - -c89f04c41bec4ff8bcf54f0334085d1c 1 Five methods were used to positively identify bin Laden 's corpse . - -752b08b42f5444b9b924cc4708ed468a 1 Bin Laden 's corpse was buried at sea several hours later . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 418/527 # - -'Within minutes of the President's announcement from Washington, DC, late in the evening on May 1, there were spontaneous celebrations around the country as crowds gathered outside the White House, and at New York City's Ground Zero and Times Square.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/IDENTIFYING_DEFINITION ('', RestrictiveParticipialExtractor) - ├───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - | ├───s───> SUB/UNKNOWN_SUBORDINATION (NULL, AdjectivalAdverbialMiddleFinalExtractor) - | | ├────────s────────> 'This was late in the evening on May 1 .' - | | └───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) - | | ├───s───> 'This was from Washington , DC .' - | | └───n───> 'This was within minutes of the President 's announcement .' - | └─────────────n─────────────> 'There were spontaneous celebrations around the country as crowds , and at New York City 's Ground Zero and Times Square .' - └──────────────────s──────────────────> 'Crowds were gathered outside the White House .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# Within minutes of the President's announcement from Washington, DC, late in the evening on May 1, there were spontaneous celebrations around the country as crowds gathered outside the White House, and at New York City's Ground Zero and Times Square. - -36112442e6a14dad8e0233d12b14547c 0 There were spontaneous celebrations around the country as crowds , and at New York City 's Ground Zero and Times Square . - L:TEMPORAL 6e884d4f80364cd88a834e0b377bd1a1 - L:IDENTIFYING_DEFINITION 76b04054812a40b69f7adb8c9b084d9a - -6e884d4f80364cd88a834e0b377bd1a1 1 This was within minutes of the President 's announcement . - S:SPATIAL This was from Washington , DC . - S:UNKNOWN_SUBORDINATION This was late in the evening on May 1 . - -76b04054812a40b69f7adb8c9b084d9a 1 Crowds were gathered outside the White House . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 419/527 # - -'Reaction to the announcement was positive across party lines, including from former presidents Bill Clinton and George W. Bush.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) - ├─────────────s─────────────> 'Bill Clinton was former presidents .' - └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalMiddleFinalExtractor) - ├───s───> CO/LIST (NULL, PostListNPExtractor) - | ├───n───> 'This was including from Bill Clinton .' - | └───n───> 'This was including from George W. Bush .' - └────────n────────> 'Reaction to the announcement was positive across party lines .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# Reaction to the announcement was positive across party lines, including from former presidents Bill Clinton and George W. Bush. - -b1aad458970a446797179df2afce9f28 0 Reaction to the announcement was positive across party lines . - L:UNKNOWN_SUBORDINATION f0903432b5e7418c9e2a32ac9c4b0c57 - L:UNKNOWN_SUBORDINATION 2b997780fa1c409d99f97d1fcda251cd - L:ELABORATION 7f5dcf84c7064716a3a99229d3b66cb6 - -f0903432b5e7418c9e2a32ac9c4b0c57 1 This was including from Bill Clinton . - L:LIST 2b997780fa1c409d99f97d1fcda251cd - -2b997780fa1c409d99f97d1fcda251cd 1 This was including from George W. Bush . - L:LIST f0903432b5e7418c9e2a32ac9c4b0c57 - -7f5dcf84c7064716a3a99229d3b66cb6 1 Bill Clinton was former presidents . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 420/527 # - -'In November 2013, the Obama administration opened negotiations with Iran to prevent it from acquiring nuclear weapons, which included an interim agreement.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/DESCRIBING_DEFINITION ('which', NonRestrictiveRelativeClauseWhoWhichExtractor) - ├───n───> SUB/PURPOSE (NULL, PurposePostExtractor) - | ├───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) - | | ├────────s────────> 'This was with Iran .' - | | └───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - | | ├───s───> 'This was in November 2013 .' - | | └───n───> 'The Obama administration opened negotiations .' - | └─────────────s─────────────> 'This was to prevent it from acquiring nuclear weapons .' - └──────────────────s──────────────────> 'Nuclear weapons included an interim agreement .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# In November 2013, the Obama administration opened negotiations with Iran to prevent it from acquiring nuclear weapons, which included an interim agreement. - -e03e66e73dd549418d56b4ea9d5c4a0e 0 The Obama administration opened negotiations . - S:TEMPORAL This was in November 2013 . - S:SPATIAL This was with Iran . - S:PURPOSE This was to prevent it from acquiring nuclear weapons . - L:DESCRIBING_DEFINITION 3034612bbbfd458389110bdf3246e350 - -3034612bbbfd458389110bdf3246e350 1 Nuclear weapons included an interim agreement . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 421/527 # - -'Negotiations took two years with numerous delays, with a deal being announced July 14, 2015.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - ├─────────────s─────────────> 'This was with numerous delays .' - └───n───> SUB/IDENTIFYING_DEFINITION ('', RestrictiveParticipialExtractor) - ├───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalMiddleFinalExtractor) - | ├───s───> 'This was with a deal .' - | └───n───> 'Negotiations took two years .' - └────────s────────> 'A deal was being announced July 14 , 2015 .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# Negotiations took two years with numerous delays, with a deal being announced July 14, 2015. - -6910544f52bc44a7b9e20d0d954de7e3 0 Negotiations took two years . - S:UNKNOWN_SUBORDINATION This was with a deal . - S:UNKNOWN_SUBORDINATION This was with numerous delays . - L:IDENTIFYING_DEFINITION c7234e28105b4596ab0e9c4dba7b4380 - -c7234e28105b4596ab0e9c4dba7b4380 1 A deal was being announced July 14 , 2015 . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 422/527 # - -'The deal, titled the Joint Comprehensive Plan of Action, saw the removal of sanctions in exchange for measures that would prevent Iran from producing nuclear weapons.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/UNKNOWN_SUBORDINATION ('', ParticipialMiddleExtractor) - ├───n───> SUB/IDENTIFYING_DEFINITION ('that', RestrictiveRelativeClauseWhoWhichExtractor) - | ├───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - | | ├────────s────────> 'This was for measures .' - | | └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - | | ├───s───> 'This was in exchange .' - | | └───n───> 'The deal saw the removal of sanctions .' - | └────────s────────> CO/UNKNOWN_COORDINATION (NULL, SharedNPPostParticipalExtractor) - | ├───n───> 'Measures would prevent Iran .' - | └───n───> 'Measures are producing nuclear weapons .' - └──────────────────s──────────────────> 'The deal was titled the Joint Comprehensive Plan of Action .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# The deal, titled the Joint Comprehensive Plan of Action, saw the removal of sanctions in exchange for measures that would prevent Iran from producing nuclear weapons. - -bf93067de9ab49f7a8fac6e8eaac5871 0 The deal saw the removal of sanctions . - S:UNKNOWN_SUBORDINATION This was in exchange . - S:UNKNOWN_SUBORDINATION This was for measures . - L:IDENTIFYING_DEFINITION 3d61df941cf449a8be2288cdae93e070 - L:IDENTIFYING_DEFINITION a64553133ad247cca7f8d1560d55c2aa - L:UNKNOWN_SUBORDINATION 2c768309eec3413e806fcc3395b831fc - -3d61df941cf449a8be2288cdae93e070 1 Measures would prevent Iran . - -a64553133ad247cca7f8d1560d55c2aa 1 Measures are producing nuclear weapons . - -2c768309eec3413e806fcc3395b831fc 1 The deal was titled the Joint Comprehensive Plan of Action . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 423/527 # - -'While Obama hailed the agreement as being a step towards a more hopeful world, the deal drew strong criticism from Republican and conservative quarters, and from Israeli prime minister Benjamin Netanyahu.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) - ├──────────────────s──────────────────> 'Benjamin Netanyahu was Israeli prime minister .' - └───n───> CO/CONTRAST ('While', SubordinationPreExtractor) - ├───n───> SUB/BACKGROUND (NULL, SharedNPPostParticipalExtractor) - | ├────────n────────> 'Obama hailed the agreement .' - | └───s───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - | ├───s───> 'This was towards a more hopeful world .' - | └───n───> 'Obama was being a step .' - └────────n────────> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - ├───s───> 'This was from Republican and conservative quarters , and from Benjamin Netanyahu .' - └───n───> 'The deal drew strong criticism .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# While Obama hailed the agreement as being a step towards a more hopeful world, the deal drew strong criticism from Republican and conservative quarters, and from Israeli prime minister Benjamin Netanyahu. - -126c06365dbb44cea29d89c98766bacb 0 Obama hailed the agreement . - L:BACKGROUND de64a521396044ddb13b31de191189d7 - L:CONTRAST 72e11eb80a234f7394f8edc437187126 - L:ELABORATION bf82810bbb004ce5bfb92bfbe2e491e5 - -de64a521396044ddb13b31de191189d7 1 Obama was being a step . - S:UNKNOWN_SUBORDINATION This was towards a more hopeful world . - -72e11eb80a234f7394f8edc437187126 0 The deal drew strong criticism . - S:UNKNOWN_SUBORDINATION This was from Republican and conservative quarters , and from Benjamin Netanyahu . - L:CONTRAST 126c06365dbb44cea29d89c98766bacb - L:ELABORATION bf82810bbb004ce5bfb92bfbe2e491e5 - -bf82810bbb004ce5bfb92bfbe2e491e5 1 Benjamin Netanyahu was Israeli prime minister . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 424/527 # - -'In order to advance the deal, the Obama administration shielded Hezbollah from the Drug Enforcement Administration's project cassandra investigation regarding drug smuggling and from the Central Intelligence Agency.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/PURPOSE (NULL, SubordinationPrePurposeExtractor) - ├───s───> 'This was to advance the deal .' - └───n───> 'The Obama administration shielded Hezbollah from the Drug Enforcement Administration 's project cassandra investigation regarding drug smuggling and from the Central Intelligence Agency .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# In order to advance the deal, the Obama administration shielded Hezbollah from the Drug Enforcement Administration's project cassandra investigation regarding drug smuggling and from the Central Intelligence Agency. - -5ab99104e83540fabc9d95eafb456dc9 0 The Obama administration shielded Hezbollah from the Drug Enforcement Administration 's project cassandra investigation regarding drug smuggling and from the Central Intelligence Agency . - S:PURPOSE This was to advance the deal . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 425/527 # - -'Since the spring of 2013, secret meetings were conducted between the United States and Cuba in the neutral locations of Canada and Vatican City.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) - ├────────s────────> 'This was in the neutral locations of Canada and Vatican City .' - └───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - ├───s───> 'This was since the spring of 2013 .' - └───n───> 'Secret meetings were conducted between the United States and Cuba .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# Since the spring of 2013, secret meetings were conducted between the United States and Cuba in the neutral locations of Canada and Vatican City. - -2e614e0215784101a7fbe5dcf29d0c58 0 Secret meetings were conducted between the United States and Cuba . - S:TEMPORAL This was since the spring of 2013 . - S:SPATIAL This was in the neutral locations of Canada and Vatican City . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 426/527 # - -'The Vatican first became involved in 2013 when Pope Francis advised the U.S. and Cuba to exchange prisoners as a gesture of goodwill.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/BACKGROUND ('when', SubordinationPostExtractor) - ├─────────────n─────────────> 'The Vatican first became involved in 2013 .' - └───s───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - ├────────s────────> 'This was to exchange prisoners .' - └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - ├───s───> 'This was as a gesture of goodwill .' - └───n───> 'Pope Francis advised the U.S. and Cuba .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# The Vatican first became involved in 2013 when Pope Francis advised the U.S. and Cuba to exchange prisoners as a gesture of goodwill. - -137d22c3407040fa8d424125d93ec6b1 0 The Vatican first became involved in 2013 . - L:BACKGROUND f3fb5e9accc649b89ce29806006100e9 - -f3fb5e9accc649b89ce29806006100e9 1 Pope Francis advised the U.S. and Cuba . - S:UNKNOWN_SUBORDINATION This was as a gesture of goodwill . - S:UNKNOWN_SUBORDINATION This was to exchange prisoners . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 427/527 # - -'On December 10, 2013, Cuban President Raúl Castro, in a significant public moment, greeted and shook hands with Obama at the Nelson Mandela memorial service in Johannesburg.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) - ├────────────────────────────s────────────────────────────> 'Raúl Castro was Cuban President .' - └───n───> CO/LIST ('and', SharedNPPostCoordinationExtractor) - ├─────────────n─────────────> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - | ├────────s────────> 'This was on December 10 , 2013 .' - | └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalMiddleFinalExtractor) - | ├───s───> 'This was in a significant public moment .' - | └───n───> 'Raúl Castro greeted .' - └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - ├──────────────────s──────────────────> 'This was with Obama .' - └───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) - ├─────────────s─────────────> 'This was at the Nelson Mandela memorial service in Johannesburg .' - └───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - ├────────s────────> 'This was on December 10 , 2013 .' - └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalMiddleFinalExtractor) - ├───s───> 'This was in a significant public moment .' - └───n───> 'Raúl Castro shook hands .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# On December 10, 2013, Cuban President Raúl Castro, in a significant public moment, greeted and shook hands with Obama at the Nelson Mandela memorial service in Johannesburg. - -0b2e4a6cf3f141728eeffbba29ec50c5 0 Raúl Castro greeted . - S:UNKNOWN_SUBORDINATION This was in a significant public moment . - S:TEMPORAL This was on December 10 , 2013 . - L:LIST f06c40ce6ecd4f6fb84485dd2645bac2 - L:ELABORATION d480ab63bde141fd978dc2ee855cd3d6 - -f06c40ce6ecd4f6fb84485dd2645bac2 0 Raúl Castro shook hands . - S:UNKNOWN_SUBORDINATION This was in a significant public moment . - S:TEMPORAL This was on December 10 , 2013 . - S:SPATIAL This was at the Nelson Mandela memorial service in Johannesburg . - S:UNKNOWN_SUBORDINATION This was with Obama . - L:LIST 0b2e4a6cf3f141728eeffbba29ec50c5 - L:ELABORATION d480ab63bde141fd978dc2ee855cd3d6 - -d480ab63bde141fd978dc2ee855cd3d6 1 Raúl Castro was Cuban President . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 428/527 # - -'In December 2014, after the secret meetings, it was announced that Obama, with Pope Francis as an intermediary, had negotiated a restoration of relations with Cuba, after nearly sixty years of détente.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/ATTRIBUTION (NULL, SubordinationPostAttributionExtractor2) - ├──────────────────s──────────────────> 'This was what it was announced in December 2014 .' - └───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) - ├─────────────s─────────────> 'This was with Cuba .' - └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalMiddleFinalExtractor) - ├────────s────────> 'This was with Pope Francis as an intermediary .' - └───n───> SUB/TEMPORAL (NULL, PrepositionalMiddleFinalExtractor) - ├───s───> 'This was after nearly sixty years of détente .' - └───n───> 'Obama had negotiated a restoration of relations .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# In December 2014, after the secret meetings, it was announced that Obama, with Pope Francis as an intermediary, had negotiated a restoration of relations with Cuba, after nearly sixty years of détente. - -99e625aa971c4eb0ac6912871c9603b2 0 Obama had negotiated a restoration of relations . - S:TEMPORAL This was after nearly sixty years of détente . - S:UNKNOWN_SUBORDINATION This was with Pope Francis as an intermediary . - S:SPATIAL This was with Cuba . - S:ATTRIBUTION This was what it was announced in December 2014 . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 429/527 # - -'Popularly dubbed the Cuban Thaw, The New Republic deemed the Cuban Thaw to be Obama's finest foreign policy achievement.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> 'Popularly dubbed the Cuban Thaw , The New Republic deemed the Cuban Thaw to be Obama 's finest foreign policy achievement .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# Popularly dubbed the Cuban Thaw, The New Republic deemed the Cuban Thaw to be Obama's finest foreign policy achievement. - -8f7414ced5144a938ff16933a44c60be 0 Popularly dubbed the Cuban Thaw , The New Republic deemed the Cuban Thaw to be Obama 's finest foreign policy achievement . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 430/527 # - -'On July 1, 2015, President Barack Obama announced that formal diplomatic relations between Cuba and the United States would resume, and embassies would be opened in Washington and Havana.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> CO/LIST (', and', CoordinationExtractor) - ├───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) - | ├────────s────────> 'Barack Obama was President .' - | └───n───> SUB/ATTRIBUTION (NULL, SubordinationPostAttributionExtractor2) - | ├───s───> 'This was what Barack Obama announced on July 1 , 2015 .' - | └───n───> 'Formal diplomatic relations between Cuba and the United States would resume .' - └────────n────────> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - ├───s───> 'This was on July 1 , 2015 .' - └───n───> 'Embassies would be opened in Washington and Havana .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# On July 1, 2015, President Barack Obama announced that formal diplomatic relations between Cuba and the United States would resume, and embassies would be opened in Washington and Havana. - -ad7f5feb75ff4157bfa631195851ee48 0 Formal diplomatic relations between Cuba and the United States would resume . - S:ATTRIBUTION This was what Barack Obama announced on July 1 , 2015 . - L:ELABORATION 3ba98de8d5ab4ab28721ccc7e65daf56 - L:LIST 905e450b74014ac9bdc742298a7a7d0f - -3ba98de8d5ab4ab28721ccc7e65daf56 1 Barack Obama was President . - -905e450b74014ac9bdc742298a7a7d0f 0 Embassies would be opened in Washington and Havana . - S:TEMPORAL This was on July 1 , 2015 . - L:LIST ad7f5feb75ff4157bfa631195851ee48 - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 431/527 # - -'The countries' respective interests sections in one another's capitals were upgraded to embassies on July 20 and August 13, 2015, respectively.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/IDENTIFYING_DEFINITION ('', RestrictiveRelativeClauseWithoutRelativePronounExtractor) - ├───n───> SUB/UNKNOWN_SUBORDINATION (NULL, AdjectivalAdverbialMiddleFinalExtractor) - | ├────────s────────> 'This was respectively .' - | └───n───> CO/LIST (NULL, PostListNPExtractor) - | ├───n───> 'The countries ' respective interests sections in one were upgraded to embassies on July 20 .' - | └───n───> 'The countries ' respective interests sections in one were upgraded to embassies on August 13 , 2015 .' - └─────────────s─────────────> 'Another 's capitals one .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# The countries' respective interests sections in one another's capitals were upgraded to embassies on July 20 and August 13, 2015, respectively. - -b37bce67ac604e6e93c5de6281ebc456 0 The countries ' respective interests sections in one were upgraded to embassies on July 20 . - S:UNKNOWN_SUBORDINATION This was respectively . - L:LIST ba80ad1d3a8a4bdeb88327738c8c857c - L:IDENTIFYING_DEFINITION aec25e14a4af46c8aaf5bda21b278a32 - -ba80ad1d3a8a4bdeb88327738c8c857c 0 The countries ' respective interests sections in one were upgraded to embassies on August 13 , 2015 . - S:UNKNOWN_SUBORDINATION This was respectively . - L:LIST b37bce67ac604e6e93c5de6281ebc456 - L:IDENTIFYING_DEFINITION aec25e14a4af46c8aaf5bda21b278a32 - -aec25e14a4af46c8aaf5bda21b278a32 1 Another 's capitals one . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 432/527 # - -'Obama visited Havana, Cuba for two days in March 2016, becoming the first sitting U.S. President to arrive since Calvin Coolidge in 1928.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> CO/UNKNOWN_COORDINATION (NULL, SharedNPPostParticipalExtractor) - ├───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) - | ├───s───> 'This was in March 2016 .' - | └───n───> 'Obama visited Havana , Cuba for two days .' - └───n───> CO/UNKNOWN_COORDINATION (NULL, SharedNPPostParticipalExtractor) - ├───n───> 'Obama was becoming the first .' - └───n───> 'Obama was sitting U.S. President to arrive since Calvin Coolidge in 1928 .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# Obama visited Havana, Cuba for two days in March 2016, becoming the first sitting U.S. President to arrive since Calvin Coolidge in 1928. - -d556051346124f829c09709413306240 0 Obama visited Havana , Cuba for two days . - S:TEMPORAL This was in March 2016 . - -c4c8d287d6514b4ca676c52b4d774729 0 Obama was becoming the first . - -1f631bd4eede4560b5100cf389c5df2a 0 Obama was sitting U.S. President to arrive since Calvin Coolidge in 1928 . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 433/527 # - -'Obama spoke in front of the African Union in Addis Ababa, Ethiopia, on July 29, 2015, the first sitting U.S. president to do so.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) - ├─────────────s─────────────> 'This was on July 29 , 2015 .' - └───n───> SUB/PURPOSE (NULL, PurposePostExtractor) - ├───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) - | ├───s───> 'This was in Addis Ababa , Ethiopia , the first sitting U.S. president .' - | └───n───> 'Obama spoke in front of the African Union .' - └────────s────────> 'This was to do so .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# Obama spoke in front of the African Union in Addis Ababa, Ethiopia, on July 29, 2015, the first sitting U.S. president to do so. - -3be1aac8a01247b888104b9a7cee240c 0 Obama spoke in front of the African Union . - S:SPATIAL This was in Addis Ababa , Ethiopia , the first sitting U.S. president . - S:PURPOSE This was to do so . - S:TEMPORAL This was on July 29 , 2015 . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 434/527 # - -'He gave a speech encouraging the world to increase economic ties via investments and trade with the continent, and lauded the progresses made in education, infrastructure, and economy.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> CO/LIST (', and', SharedNPPostCoordinationExtractor) - ├───n───> SUB/UNKNOWN_SUBORDINATION ('', SubordinationPostExtractor) - | ├────────n────────> 'He gave .' - | └───s───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - | ├───s───> 'This is with the continent .' - | └───n───> 'A speech encouraging the world to increase economic ties via investments and trade .' - └───n───> SUB/IDENTIFYING_DEFINITION ('', RestrictiveParticipialExtractor) - ├────────n────────> 'He lauded the progresses .' - └───s───> CO/LIST (NULL, PostListNPExtractor) - ├───n───> 'The progresses was made in education .' - ├───n───> 'The progresses was made in infrastructure .' - └───n───> 'The progresses was made in economy .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# He gave a speech encouraging the world to increase economic ties via investments and trade with the continent, and lauded the progresses made in education, infrastructure, and economy. - -e675e4c3945a480d8cca7d6462501743 0 He gave . - L:UNKNOWN_SUBORDINATION eb3814b8b3124ce4b14938b5d43a3e86 - L:LIST 48dc36877ffa49549a2bbfb57895d206 - -eb3814b8b3124ce4b14938b5d43a3e86 1 A speech encouraging the world to increase economic ties via investments and trade . - S:UNKNOWN_SUBORDINATION This is with the continent . - -48dc36877ffa49549a2bbfb57895d206 0 He lauded the progresses . - L:IDENTIFYING_DEFINITION 684841ec6fad4b9983b523afa3b73cae - L:IDENTIFYING_DEFINITION 51f7f663def842f49a70d4d234e7ae54 - L:IDENTIFYING_DEFINITION c6749fbfaa0f4c7ea2fbf3dee1e88a74 - L:LIST e675e4c3945a480d8cca7d6462501743 - -684841ec6fad4b9983b523afa3b73cae 1 The progresses was made in education . - L:LIST 51f7f663def842f49a70d4d234e7ae54 - L:LIST c6749fbfaa0f4c7ea2fbf3dee1e88a74 - -51f7f663def842f49a70d4d234e7ae54 1 The progresses was made in infrastructure . - L:LIST c6749fbfaa0f4c7ea2fbf3dee1e88a74 - L:LIST 684841ec6fad4b9983b523afa3b73cae - -c6749fbfaa0f4c7ea2fbf3dee1e88a74 1 The progresses was made in economy . - L:LIST 684841ec6fad4b9983b523afa3b73cae - L:LIST 51f7f663def842f49a70d4d234e7ae54 - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 435/527 # - -'He also criticized the lack of democracy and leaders who refuse to step aside, discrimination against minorities (LGBT people, religious groups and ethnicities), and corruption.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/ELABORATION (NULL, NonRestrictiveAppositionExtractor) - ├─────────────s─────────────> 'LGBT people were religious groups and ethnicities .' - └───n───> SUB/IDENTIFYING_DEFINITION ('who', RestrictiveRelativeClauseWhoWhichExtractor) - ├───n───> CO/LIST (NULL, PostListNPExtractor) - | ├───n───> 'He also criticized the lack of democracy and leaders .' - | ├───n───> 'He also criticized discrimination against minorities -LRB- LGBT people -RRB- .' - | └───n───> 'He also criticized corruption .' - └────────s────────> 'The lack of democracy and leaders refuse to step aside .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# He also criticized the lack of democracy and leaders who refuse to step aside, discrimination against minorities (LGBT people, religious groups and ethnicities), and corruption. - -18a48eaf892a48d7b4047b4ac3d30bf9 0 He also criticized the lack of democracy and leaders . - L:LIST 684ccee849024f0c809b45f528c85779 - L:LIST 529d4fc9f2e34ba3811399f85658296c - L:IDENTIFYING_DEFINITION d932aa22be1e4db29cadedc61c2685f6 - L:ELABORATION 29a0938ea22144ec88c4e7880babae9a - -684ccee849024f0c809b45f528c85779 0 He also criticized discrimination against minorities -LRB- LGBT people -RRB- . - L:LIST 529d4fc9f2e34ba3811399f85658296c - L:LIST 18a48eaf892a48d7b4047b4ac3d30bf9 - L:IDENTIFYING_DEFINITION d932aa22be1e4db29cadedc61c2685f6 - L:ELABORATION 29a0938ea22144ec88c4e7880babae9a - -529d4fc9f2e34ba3811399f85658296c 0 He also criticized corruption . - L:LIST 18a48eaf892a48d7b4047b4ac3d30bf9 - L:LIST 684ccee849024f0c809b45f528c85779 - L:IDENTIFYING_DEFINITION d932aa22be1e4db29cadedc61c2685f6 - L:ELABORATION 29a0938ea22144ec88c4e7880babae9a - -d932aa22be1e4db29cadedc61c2685f6 1 The lack of democracy and leaders refuse to step aside . - -29a0938ea22144ec88c4e7880babae9a 1 LGBT people were religious groups and ethnicities . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 436/527 # - -'He suggested an intensified democratization and free trade, to significantly improve the quality of life for Africans.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/PURPOSE (NULL, PurposePostExtractor) - ├───n───> CO/LIST (NULL, PostListNPExtractor) - | ├───n───> 'He suggested an intensified democratization .' - | └───n───> 'He suggested free trade .' - └────────s────────> 'This was to significantly improve the quality of life for Africans .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# He suggested an intensified democratization and free trade, to significantly improve the quality of life for Africans. - -7a0bc937a5ae43b8ac1f7fbdbf99c87a 0 He suggested an intensified democratization . - S:PURPOSE This was to significantly improve the quality of life for Africans . - L:LIST 5456c1e2578a423c88d0f8fdcc332802 - -5456c1e2578a423c88d0f8fdcc332802 0 He suggested free trade . - S:PURPOSE This was to significantly improve the quality of life for Africans . - L:LIST 7a0bc937a5ae43b8ac1f7fbdbf99c87a - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 437/527 # - -'During his July 2015 trip, Obama also was the first U.S. president ever to visit Kenya, which is the homeland of his father.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/DESCRIBING_DEFINITION ('which', NonRestrictiveRelativeClauseWhoWhichExtractor) - ├───n───> SUB/PURPOSE (NULL, PurposePostExtractor) - | ├───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - | | ├───s───> 'This was during his July 2015 trip .' - | | └───n───> 'Obama also was the first U.S. president ever .' - | └────────s────────> 'This was to visit Kenya .' - └─────────────s─────────────> 'Kenya is the homeland of his father .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# During his July 2015 trip, Obama also was the first U.S. president ever to visit Kenya, which is the homeland of his father. - -20ffb3ff519144179111f289355f8755 0 Obama also was the first U.S. president ever . - S:TEMPORAL This was during his July 2015 trip . - S:PURPOSE This was to visit Kenya . - L:DESCRIBING_DEFINITION ba827dee19f94ce684f582b40ddfc7d8 - -ba827dee19f94ce684f582b40ddfc7d8 1 Kenya is the homeland of his father . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 438/527 # - -'On May 27, 2016, Obama became the first sitting American president to visit Hiroshima, Japan, 71 years after the U.S. atomic bombing of Hiroshima that ended World War II.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/IDENTIFYING_DEFINITION ('that', RestrictiveRelativeClauseWhoWhichExtractor) - ├───n───> SUB/PURPOSE (NULL, PurposePostExtractor) - | ├───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - | | ├───s───> 'This was on May 27 , 2016 .' - | | └───n───> 'Obama became the first sitting American president .' - | └────────s────────> 'This was to visit Hiroshima , Japan , 71 years after the U.S. atomic bombing of Hiroshima .' - └───s───> SUB/IDENTIFYING_DEFINITION ('', RestrictiveRelativeClauseWithoutRelativePronounExtractor) - ├────────n────────> 'The first sitting American president ended World War II .' - └───s───> SUB/ELABORATION (NULL, NonRestrictiveAppositionExtractor) - ├───s───> 'Hiroshima , Japan is 71 years .' - └───n───> 'To visit Hiroshima , Japan after the U.S. atomic bombing of Hiroshima The first sitting American president .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# On May 27, 2016, Obama became the first sitting American president to visit Hiroshima, Japan, 71 years after the U.S. atomic bombing of Hiroshima that ended World War II. - -9692ea0532a64888b48594b401e8958e 0 Obama became the first sitting American president . - S:TEMPORAL This was on May 27 , 2016 . - S:PURPOSE This was to visit Hiroshima , Japan , 71 years after the U.S. atomic bombing of Hiroshima . - L:IDENTIFYING_DEFINITION 12a490940c1f4a61852f769dc1d03079 - -12a490940c1f4a61852f769dc1d03079 1 The first sitting American president ended World War II . - L:IDENTIFYING_DEFINITION 706ee6392f8541efa3203b0a1ae85e38 - -706ee6392f8541efa3203b0a1ae85e38 2 To visit Hiroshima , Japan after the U.S. atomic bombing of Hiroshima The first sitting American president . - L:ELABORATION b61b8b80aeb0477fb7c9ae6ec9389edd - -b61b8b80aeb0477fb7c9ae6ec9389edd 3 Hiroshima , Japan is 71 years . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 439/527 # - -'Accompanied by Japanese Prime Minister Shinzō Abe, Obama paid tribute to the victims of the bombing at the Hiroshima Peace Memorial Museum.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) - ├──────────────────s──────────────────> 'Shinzō Abe was Japanese Prime Minister .' - └───n───> CO/UNKNOWN_COORDINATION ('', SharedNPPreParticipalExtractor) - ├─────────────n─────────────> 'Obama was accompanied by Shinzō Abe .' - └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - ├────────s────────> 'This was to the victims of the bombing .' - └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - ├───s───> 'This was at the Hiroshima Peace Memorial Museum .' - └───n───> 'Obama paid tribute .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# Accompanied by Japanese Prime Minister Shinzō Abe, Obama paid tribute to the victims of the bombing at the Hiroshima Peace Memorial Museum. - -6363d301c7664e28860cf7d6b12ac6ce 0 Obama was accompanied by Shinzō Abe . - L:ELABORATION b7575287bd5e42f3ab6de5332a4fdbbc - -8cc3fcd03af94c0ca6c988bda5e82655 0 Obama paid tribute . - S:UNKNOWN_SUBORDINATION This was at the Hiroshima Peace Memorial Museum . - S:UNKNOWN_SUBORDINATION This was to the victims of the bombing . - L:ELABORATION b7575287bd5e42f3ab6de5332a4fdbbc - -b7575287bd5e42f3ab6de5332a4fdbbc 1 Shinzō Abe was Japanese Prime Minister . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 440/527 # - -'Obama meets Russian President Vladimir Putin in September 2015.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) - ├───s───> 'Vladimir Putin is Russian President .' - └───n───> 'Obama meets Vladimir Putin in September 2015 .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# Obama meets Russian President Vladimir Putin in September 2015. - -dc6f50fdeef94d27ac259c17c1a61ddd 0 Obama meets Vladimir Putin in September 2015 . - L:ELABORATION 06723e18b6384799a553ac7df5cbb03d - -06723e18b6384799a553ac7df5cbb03d 1 Vladimir Putin is Russian President . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 441/527 # - -'After Russia's invasion of Crimea in 2014, military intervention in Syria in 2015, and the interference in the 2016 U.S. presidential election, Obama's Russia policy was widely seen as a failure.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/SPATIAL (NULL, PrepositionalInitialExtractor) - ├───s───> CO/LIST (NULL, PostListNPExtractor) - | ├───n───> 'This was after Russia 's invasion of Crimea in 2014 .' - | ├───n───> 'This was after military intervention in Syria in 2015 .' - | └───n───> 'This was after the interference in the 2016 U.S. presidential election .' - └────────n────────> 'Obama 's Russia policy was widely seen as a failure .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# After Russia's invasion of Crimea in 2014, military intervention in Syria in 2015, and the interference in the 2016 U.S. presidential election, Obama's Russia policy was widely seen as a failure. - -e1c6cfc8eea54123b6d4c720fffa4d3b 0 Obama 's Russia policy was widely seen as a failure . - L:SPATIAL aeec690030f842e298cfd3383b2d97f7 - L:SPATIAL 3c784f9b054b498680e045e670bbf044 - L:SPATIAL cfdbbd13be0b430b865d40e394cb3571 - -aeec690030f842e298cfd3383b2d97f7 1 This was after Russia 's invasion of Crimea in 2014 . - L:LIST 3c784f9b054b498680e045e670bbf044 - L:LIST cfdbbd13be0b430b865d40e394cb3571 - -3c784f9b054b498680e045e670bbf044 1 This was after military intervention in Syria in 2015 . - L:LIST cfdbbd13be0b430b865d40e394cb3571 - L:LIST aeec690030f842e298cfd3383b2d97f7 - -cfdbbd13be0b430b865d40e394cb3571 1 This was after the interference in the 2016 U.S. presidential election . - L:LIST aeec690030f842e298cfd3383b2d97f7 - L:LIST 3c784f9b054b498680e045e670bbf044 - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 442/527 # - -'George Robertson, a former UK defense secretary and NATO secretary-general, said that Obama had allowed Putin to jump back on the world stage and test the resolve of the West, adding that the legacy of this disaster would last.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/ELABORATION (NULL, NonRestrictiveAppositionExtractor) - ├────────s────────> 'George Robertson was a former UK defense secretary and NATO secretary-general .' - └───n───> SUB/ATTRIBUTION (NULL, SubordinationPostAttributionExtractor2) - ├───s───> 'This was what George Robertson said .' - └───n───> 'Obama had allowed Putin to jump back on the world stage and test the resolve of the West , adding that the legacy of this disaster would last .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# George Robertson, a former UK defense secretary and NATO secretary-general, said that Obama had allowed Putin to jump back on the world stage and test the resolve of the West, adding that the legacy of this disaster would last. - -68ad3d1cc19b428a9c0d5acca201b52d 0 Obama had allowed Putin to jump back on the world stage and test the resolve of the West , adding that the legacy of this disaster would last . - S:ATTRIBUTION This was what George Robertson said . - L:ELABORATION 1bedf18a67ff44619c59559307469f4e - -1bedf18a67ff44619c59559307469f4e 1 George Robertson was a former UK defense secretary and NATO secretary-general . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 443/527 # - -'See also: International reaction to the United States presidential election, 2008 and International reactions to the United States presidential election, 2012' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/ELABORATION (NULL, NonRestrictiveAppositionExtractor) - ├──────────────────s──────────────────> 'The United States presidential election is 2012 .' - └───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) - ├───s───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) - | ├────────s────────> 'This is to the United States presidential election .' - | └───n───> CO/LIST (NULL, PostListNPExtractor) - | ├───n───> 'This is to the United States presidential election .' - | ├───n───> 'This is to 2008 .' - | └───n───> 'This is to International reactions .' - └─────────────n─────────────> 'See also : International reaction .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# See also: International reaction to the United States presidential election, 2008 and International reactions to the United States presidential election, 2012 - -9fe72029a5f14163a1455512c2e3b87c 0 See also : International reaction . - L:SPATIAL 219beff37b1e402c8dd2064cdb35f89e - L:SPATIAL 65890a247dad4686b66a978c9e2b8e3e - L:SPATIAL f330943f67ba4e028dddc9477999f5ad - L:ELABORATION 1d9f5f4b75bc4cf48f23568da85eebdb - -219beff37b1e402c8dd2064cdb35f89e 1 This is to the United States presidential election . - S:SPATIAL This is to the United States presidential election . - L:LIST 65890a247dad4686b66a978c9e2b8e3e - L:LIST f330943f67ba4e028dddc9477999f5ad - -65890a247dad4686b66a978c9e2b8e3e 1 This is to 2008 . - S:SPATIAL This is to the United States presidential election . - L:LIST f330943f67ba4e028dddc9477999f5ad - L:LIST 219beff37b1e402c8dd2064cdb35f89e - -f330943f67ba4e028dddc9477999f5ad 1 This is to International reactions . - S:SPATIAL This is to the United States presidential election . - L:LIST 219beff37b1e402c8dd2064cdb35f89e - L:LIST 65890a247dad4686b66a978c9e2b8e3e - -1d9f5f4b75bc4cf48f23568da85eebdb 1 The United States presidential election is 2012 . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 444/527 # - -'Obama's family history, upbringing, and Ivy League education differ markedly from those of African-American politicians who launched their careers in the 1960s through participation in the civil rights movement.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/IDENTIFYING_DEFINITION ('who', RestrictiveRelativeClauseWhoWhichExtractor) - ├─────────────n─────────────> SUB/UNKNOWN_SUBORDINATION (NULL, AdjectivalAdverbialMiddleFinalExtractor) - | ├───s───> 'This is upbringing , and Ivy .' - | └───n───> 'Obama 's family history League education differ markedly from those of African-American politicians .' - └───s───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - ├─────────────s─────────────> 'This was in the 1960s .' - └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - ├────────s────────> 'This was through participation .' - └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - ├───s───> 'This was in the civil rights movement .' - └───n───> 'Those of African-American politicians launched their careers .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# Obama's family history, upbringing, and Ivy League education differ markedly from those of African-American politicians who launched their careers in the 1960s through participation in the civil rights movement. - -65d0dc8a2fa8464b894a1c98bc2737fc 0 Obama 's family history League education differ markedly from those of African-American politicians . - S:UNKNOWN_SUBORDINATION This is upbringing , and Ivy . - L:IDENTIFYING_DEFINITION 5f3b16b50bd5441999728f9470b386d9 - -5f3b16b50bd5441999728f9470b386d9 1 Those of African-American politicians launched their careers . - S:UNKNOWN_SUBORDINATION This was in the civil rights movement . - S:UNKNOWN_SUBORDINATION This was through participation . - S:UNKNOWN_SUBORDINATION This was in the 1960s . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 445/527 # - -'Expressing puzzlement over questions about whether he is black enough, Obama told an August 2007 meeting of the National Association of Black Journalists that we're still locked in this notion that if you appeal to white folks then there must be something wrong.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> CO/UNKNOWN_COORDINATION ('', SharedNPPreParticipalExtractor) - ├─────────────n─────────────> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - | ├───s───> 'This was over questions about whether he is black enough .' - | └───n───> 'Obama was expressing puzzlement .' - └───n───> SUB/ATTRIBUTION (NULL, SubordinationPostAttributionExtractor2) - ├─────────────s─────────────> 'This was what Obama told an August 2007 meeting of the National Association of Black Journalists .' - └───n───> SUB/UNKNOWN_SUBORDINATION ('that', SubordinationPostExtractor) - ├────────n────────> 'We 're still locked in this notion .' - └───s───> SUB/CONDITION ('If', SubordinationPreExtractor) - ├───s───> 'You appeal to white folks then .' - └───n───> 'There must be something wrong .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# Expressing puzzlement over questions about whether he is black enough, Obama told an August 2007 meeting of the National Association of Black Journalists that we're still locked in this notion that if you appeal to white folks then there must be something wrong. - -d7533b0bc3414962a00db25e3364710c 0 Obama was expressing puzzlement . - S:UNKNOWN_SUBORDINATION This was over questions about whether he is black enough . - -6a23cc896bf44324a089a8f117d56dd7 0 We 're still locked in this notion . - S:ATTRIBUTION This was what Obama told an August 2007 meeting of the National Association of Black Journalists . - L:UNKNOWN_SUBORDINATION 3f4d2f5116b3422a8d2254333722aac4 - -3f4d2f5116b3422a8d2254333722aac4 1 There must be something wrong . - L:CONDITION ca3a1c38846b4e81965ec2c85cdfdd15 - -ca3a1c38846b4e81965ec2c85cdfdd15 2 You appeal to white folks then . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 446/527 # - -'Obama acknowledged his youthful image in an October 2007 campaign speech, saying: I wouldn't be here if, time and again, the torch had not been passed to a new generation.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) - ├───s───> 'This was in an October 2007 campaign speech .' - └───n───> 'Obama acknowledged his youthful image , saying : I would n't be here if , time and again , the torch had not been passed to a new generation .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# Obama acknowledged his youthful image in an October 2007 campaign speech, saying: I wouldn't be here if, time and again, the torch had not been passed to a new generation. - -d89e81a2f9fd41a6b6c3c41467b189a5 0 Obama acknowledged his youthful image , saying : I would n't be here if , time and again , the torch had not been passed to a new generation . - S:TEMPORAL This was in an October 2007 campaign speech . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 447/527 # - -'Obama is frequently referred to as an exceptional orator.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> 'Obama is frequently referred to as an exceptional orator .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# Obama is frequently referred to as an exceptional orator. - -afaaad42be314e6f910b910c79b87e51 0 Obama is frequently referred to as an exceptional orator . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 448/527 # - -'During his pre-inauguration transition period and continuing into his presidency, Obama delivered a series of weekly Internet video addresses.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalInitialExtractor) - ├───s───> 'This was during his pre-inauguration transition period and continuing into his presidency .' - └───n───> 'Obama delivered a series of weekly Internet video addresses .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# During his pre-inauguration transition period and continuing into his presidency, Obama delivered a series of weekly Internet video addresses. - -f443117901f0457895a43dc289707778 0 Obama delivered a series of weekly Internet video addresses . - S:UNKNOWN_SUBORDINATION This was during his pre-inauguration transition period and continuing into his presidency . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 449/527 # - -'Former presidential campaign surrogate and Georgetown professor, Michael Eric Dyson, is both critical and sympathetic of President Obama's leadership in race relations, indicating that Obama's speeches and action on racial disparity and justice have been somewhat reactive and reluctant when, especially in the later part of his second term, racial violence demanded immediate presidential action and conversation.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) - ├──────────────────s──────────────────> 'Obama was President .' - └───n───> SUB/ELABORATION (NULL, NonRestrictiveAppositionExtractor) - ├────────s────────> CO/LIST (NULL, PostListNPExtractor) - | ├───n───> 'Michael Eric Dyson was former presidential campaign surrogate .' - | └───n───> 'Michael Eric Dyson was Georgetown professor .' - └───n───> SUB/ATTRIBUTION (NULL, SubordinationPostAttributionExtractor2) - ├────────s────────> 'This is what former presidential campaign surrogate and Georgetown professor is both critical and sympathetic of Obama 's leadership in race relations , indicating .' - └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, AdjectivalAdverbialMiddleFinalExtractor) - ├───s───> 'This was especially .' - └───n───> 'Obama 's speeches and action on racial disparity and justice have been somewhat reactive and reluctant when in the later part of his second term , racial violence demanded immediate presidential action and conversation .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# Former presidential campaign surrogate and Georgetown professor, Michael Eric Dyson, is both critical and sympathetic of President Obama's leadership in race relations, indicating that Obama's speeches and action on racial disparity and justice have been somewhat reactive and reluctant when, especially in the later part of his second term, racial violence demanded immediate presidential action and conversation. - -79df59ea40604eb4a09757a2618299e2 0 Obama 's speeches and action on racial disparity and justice have been somewhat reactive and reluctant when in the later part of his second term , racial violence demanded immediate presidential action and conversation . - S:UNKNOWN_SUBORDINATION This was especially . - S:ATTRIBUTION This is what former presidential campaign surrogate and Georgetown professor is both critical and sympathetic of Obama 's leadership in race relations , indicating . - L:ELABORATION 8fe4d2529efe427a9e04314e6ccb155a - L:ELABORATION d9bc7e7157ca4ede9ad9152b839d2a9c - L:ELABORATION 439235684e37472595194cd437b4b5fa - -8fe4d2529efe427a9e04314e6ccb155a 1 Michael Eric Dyson was former presidential campaign surrogate . - L:LIST d9bc7e7157ca4ede9ad9152b839d2a9c - -d9bc7e7157ca4ede9ad9152b839d2a9c 1 Michael Eric Dyson was Georgetown professor . - L:LIST 8fe4d2529efe427a9e04314e6ccb155a - -439235684e37472595194cd437b4b5fa 1 Obama was President . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 450/527 # - -'According to the Gallup Organization, Obama began his presidency with a 68% approval rating before gradually declining for the rest of the year, and eventually bottoming out at 41% in August 2010, a trend similar to Ronald Reagan's and Bill Clinton's first years in office.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) - ├──────────────────s──────────────────> 'This was with a 68 % approval rating .' - └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - ├─────────────s─────────────> 'This was before gradually declining for the rest of the year , and eventually bottoming out .' - └───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) - ├───s───> CO/UNKNOWN_COORDINATION (NULL, CoordinationExtractor) - | ├───n───> 'This was at 41 % in August 2010 .' - | ├───n───> 'A trend similar to Ronald Reagan 's .' - | └───n───> 'Bill Clinton 's first years in office .' - └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalInitialExtractor) - ├───s───> 'This was according to the Gallup Organization .' - └───n───> 'Obama began his presidency .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# According to the Gallup Organization, Obama began his presidency with a 68% approval rating before gradually declining for the rest of the year, and eventually bottoming out at 41% in August 2010, a trend similar to Ronald Reagan's and Bill Clinton's first years in office. - -0e321c9c21644b3e915a467f177649a2 0 Obama began his presidency . - S:UNKNOWN_SUBORDINATION This was according to the Gallup Organization . - S:UNKNOWN_SUBORDINATION This was before gradually declining for the rest of the year , and eventually bottoming out . - S:TEMPORAL This was with a 68 % approval rating . - L:TEMPORAL a5d09204421147ae866a97e0c11f2735 - L:TEMPORAL d0f519b7c5904630bba6e9824b02666f - L:TEMPORAL e8bb81b1464b4923bd76a8c7f13e8e74 - -a5d09204421147ae866a97e0c11f2735 1 This was at 41 % in August 2010 . - -d0f519b7c5904630bba6e9824b02666f 1 A trend similar to Ronald Reagan 's . - -e8bb81b1464b4923bd76a8c7f13e8e74 1 Bill Clinton 's first years in office . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 451/527 # - -'He experienced a small poll bounce shortly after the death of Osama bin Laden on May 2, 2011.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/UNKNOWN_SUBORDINATION ('', SubordinationPostExtractor) - ├───n───> 'He experienced .' - └───s───> 'A small poll bounce shortly after the death of Osama bin Laden on May 2 , 2011 .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# He experienced a small poll bounce shortly after the death of Osama bin Laden on May 2, 2011. - -b8ce366aede641419dffc3aff8d18392 0 He experienced . - L:UNKNOWN_SUBORDINATION 8ca1dd5130414556912c48fe487157d8 - -8ca1dd5130414556912c48fe487157d8 1 A small poll bounce shortly after the death of Osama bin Laden on May 2 , 2011 . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 452/527 # - -'This bounce lasted until around June 2011, when his approval numbers dropped back to where they were previously.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/BACKGROUND ('when', SubordinationPostExtractor) - ├───n───> 'This bounce lasted until around June 2011 .' - └───s───> 'His approval numbers dropped back to where they were previously .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# This bounce lasted until around June 2011, when his approval numbers dropped back to where they were previously. - -c51c3a91fc6b483c9f030253b157a689 0 This bounce lasted until around June 2011 . - L:BACKGROUND 88ff9d94f65d40f79e592de2137a350f - -88ff9d94f65d40f79e592de2137a350f 1 His approval numbers dropped back to where they were previously . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 453/527 # - -'His approval ratings rebounded around the same time as his reelection in 2012, with polls showing an average job approval of 52% shortly after his second inauguration.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) - ├─────────────s─────────────> 'This was as his reelection in 2012 .' - └───n───> SUB/IDENTIFYING_DEFINITION ('', RestrictiveParticipialExtractor) - ├───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalMiddleFinalExtractor) - | ├───s───> 'This was with polls .' - | └───n───> 'His approval ratings rebounded around the same time .' - └────────s────────> 'Polls were showing an average job approval of 52 % shortly after his second inauguration .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# His approval ratings rebounded around the same time as his reelection in 2012, with polls showing an average job approval of 52% shortly after his second inauguration. - -5880de24c3494850a431c888c0702ee8 0 His approval ratings rebounded around the same time . - S:UNKNOWN_SUBORDINATION This was with polls . - S:TEMPORAL This was as his reelection in 2012 . - L:IDENTIFYING_DEFINITION e853362d853149ba92cd1b02c31952b4 - -e853362d853149ba92cd1b02c31952b4 1 Polls were showing an average job approval of 52 % shortly after his second inauguration . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 454/527 # - -'Despite approval ratings dropping to 39% in late-2013 due to the ACA roll-out, they climbed to 50% in January 2015 according to Gallup.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - ├──────────────────s──────────────────> 'This was according to Gallup .' - └───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) - ├─────────────s─────────────> 'This was in January 2015 .' - └───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - ├───s───> SUB/IDENTIFYING_DEFINITION ('', RestrictiveParticipialExtractor) - | ├───n───> 'This was despite approval ratings .' - | └───s───> 'Approval ratings were dropping to 39 % in late-2013 due to the ACA roll-out .' - └────────n────────> 'They climbed to 50 % .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# Despite approval ratings dropping to 39% in late-2013 due to the ACA roll-out, they climbed to 50% in January 2015 according to Gallup. - -a844719d79654df0a97d3a63b8ff0dd8 0 They climbed to 50 % . - S:TEMPORAL This was in January 2015 . - S:UNKNOWN_SUBORDINATION This was according to Gallup . - L:TEMPORAL 9dcdde69e23346be80133679d2665cc5 - -9dcdde69e23346be80133679d2665cc5 1 This was despite approval ratings . - L:IDENTIFYING_DEFINITION 4628b6509d1e41a09335765de923e1d7 - -4628b6509d1e41a09335765de923e1d7 2 Approval ratings were dropping to 39 % in late-2013 due to the ACA roll-out . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 455/527 # - -'Polls showed strong support for Obama in other countries both before and during his presidency.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - ├────────s────────> 'This was for Obama in other countries .' - └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - ├───s───> 'This was both before and during his presidency .' - └───n───> 'Polls showed strong support .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# Polls showed strong support for Obama in other countries both before and during his presidency. - -f835a438bfdc4f6281efd4bd53325f3b 0 Polls showed strong support . - S:UNKNOWN_SUBORDINATION This was both before and during his presidency . - S:UNKNOWN_SUBORDINATION This was for Obama in other countries . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 456/527 # - -'In a February 2009 poll conducted in Western Europe and the U.S. by Harris Interactive for France 24 and the International Herald Tribune, Obama was rated as the most respected world leader, as well as the most powerful.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - ├───s───> SUB/IDENTIFYING_DEFINITION ('', RestrictiveParticipialExtractor) - | ├─────────────n─────────────> 'This was in a February 2009 poll .' - | └───s───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) - | ├───s───> CO/LIST (NULL, PostListNPExtractor) - | | ├───n───> 'This was by Harris Interactive for France 24 .' - | | └───n───> 'This was by Harris Interactive for the International Herald Tribune .' - | └───n───> CO/LIST (NULL, PostListNPExtractor) - | ├───n───> 'A February 2009 poll was conducted in Western Europe .' - | └───n───> 'A February 2009 poll was conducted in the U.S. .' - └──────────────────n──────────────────> 'Obama was rated as the most respected world leader , as well as the most powerful .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# In a February 2009 poll conducted in Western Europe and the U.S. by Harris Interactive for France 24 and the International Herald Tribune, Obama was rated as the most respected world leader, as well as the most powerful. - -9d78ff1af2d945b89225eb6d6a720d4a 0 Obama was rated as the most respected world leader , as well as the most powerful . - L:TEMPORAL 87cac97e175f45c9bef66b6ba5a5ffc2 - -87cac97e175f45c9bef66b6ba5a5ffc2 1 This was in a February 2009 poll . - L:IDENTIFYING_DEFINITION 56425492a0bc4db4b0a920e2e2034a89 - L:IDENTIFYING_DEFINITION e177fd6805ae4ee59c6367b4ea1eb595 - -56425492a0bc4db4b0a920e2e2034a89 2 A February 2009 poll was conducted in Western Europe . - L:LIST e177fd6805ae4ee59c6367b4ea1eb595 - L:TEMPORAL 7122f9d0bdc3495b95eda1129701434d - L:TEMPORAL 3edb474b700f4f1dbfd30780f6f99f42 - -e177fd6805ae4ee59c6367b4ea1eb595 2 A February 2009 poll was conducted in the U.S. . - L:LIST 56425492a0bc4db4b0a920e2e2034a89 - L:TEMPORAL 7122f9d0bdc3495b95eda1129701434d - L:TEMPORAL 3edb474b700f4f1dbfd30780f6f99f42 - -7122f9d0bdc3495b95eda1129701434d 3 This was by Harris Interactive for France 24 . - L:LIST 3edb474b700f4f1dbfd30780f6f99f42 - -3edb474b700f4f1dbfd30780f6f99f42 3 This was by Harris Interactive for the International Herald Tribune . - L:LIST 7122f9d0bdc3495b95eda1129701434d - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 457/527 # - -'In a similar poll conducted by Harris in May 2009, Obama was rated as the most popular world leader, as well as the one figure most people would pin their hopes on for pulling the world out of the economic downturn.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - ├───s───> SUB/IDENTIFYING_DEFINITION ('', RestrictiveParticipialExtractor) - | ├────────n────────> 'This was in a similar poll .' - | └───s───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) - | ├───s───> 'This was in May 2009 .' - | └───n───> 'A similar poll was conducted by Harris .' - └─────────────n─────────────> 'Obama was rated as the most popular world leader , as well as the one figure most people would pin their hopes on for pulling the world out of the economic downturn .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# In a similar poll conducted by Harris in May 2009, Obama was rated as the most popular world leader, as well as the one figure most people would pin their hopes on for pulling the world out of the economic downturn. - -9a6e0f3d7cb046c39d3b895541959e5f 0 Obama was rated as the most popular world leader , as well as the one figure most people would pin their hopes on for pulling the world out of the economic downturn . - L:TEMPORAL 5c02ce891d334f15b8d1d4590371baed - -5c02ce891d334f15b8d1d4590371baed 1 This was in a similar poll . - L:IDENTIFYING_DEFINITION aae45a1808224d8f97b02300315fbcea - -aae45a1808224d8f97b02300315fbcea 2 A similar poll was conducted by Harris . - S:TEMPORAL This was in May 2009 . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 458/527 # - -'Prime Minister David Cameron of the United Kingdom, President Barack Obama, Chancellor Angela Merkel of Germany, José Manuel Barroso, President of the European Commission, President François Hollande of France and others react emotionally while watching the overtime shootout of the Chelsea vs. Bayern Munich Champions League final, in the Laurel Cabin conference room during the G8 Summit at Camp David, Maryland, May 19, 2012.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> 'Prime Minister David Cameron of the United Kingdom , President Barack Obama , Chancellor Angela Merkel of Germany , José Manuel Barroso , President of the European Commission , President François Hollande of France and others react emotionally while watching the overtime shootout of the Chelsea vs. Bayern Munich Champions League final , in the Laurel Cabin conference room during the G8 Summit at Camp David , Maryland , May 19 , 2012 .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# Prime Minister David Cameron of the United Kingdom, President Barack Obama, Chancellor Angela Merkel of Germany, José Manuel Barroso, President of the European Commission, President François Hollande of France and others react emotionally while watching the overtime shootout of the Chelsea vs. Bayern Munich Champions League final, in the Laurel Cabin conference room during the G8 Summit at Camp David, Maryland, May 19, 2012. - -6474112f4d7f4aaf9f21b5a27b2b279d 0 Prime Minister David Cameron of the United Kingdom , President Barack Obama , Chancellor Angela Merkel of Germany , José Manuel Barroso , President of the European Commission , President François Hollande of France and others react emotionally while watching the overtime shootout of the Chelsea vs. Bayern Munich Champions League final , in the Laurel Cabin conference room during the G8 Summit at Camp David , Maryland , May 19 , 2012 . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 459/527 # - -'Cameron raises his arms triumphantly as the Chelsea team wins their first Champions League title in the overtime shootout.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/BACKGROUND ('as', SubordinationPostExtractor) - ├───n───> 'Cameron raises his arms triumphantly .' - └───s───> 'The Chelsea team wins their first Champions League title in the overtime shootout .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# Cameron raises his arms triumphantly as the Chelsea team wins their first Champions League title in the overtime shootout. - -b342d96193c64fdb884fa95812118644 0 Cameron raises his arms triumphantly . - L:BACKGROUND bf5ebda6f4ba4630b03d9b3587f66e24 - -bf5ebda6f4ba4630b03d9b3587f66e24 1 The Chelsea team wins their first Champions League title in the overtime shootout . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 460/527 # - -'G8 leaders watching the 2012 UEFA Champions League Final' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> 'G8 leaders watching the 2012 UEFA Champions League Final' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# G8 leaders watching the 2012 UEFA Champions League Final - -9283994cafad4b0da631bef4c4d1a127 0 G8 leaders watching the 2012 UEFA Champions League Final - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 461/527 # - -'Obama won Best Spoken Word Album Grammy Awards for abridged audiobook versions of Dreams from My Father in February 2006 and for The Audacity of Hope in February 2008.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) - ├───s───> 'This was in February 2008 .' - └───n───> 'Obama won Best Spoken Word Album Grammy Awards for abridged audiobook versions of Dreams from My Father in February 2006 and for The Audacity of Hope .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# Obama won Best Spoken Word Album Grammy Awards for abridged audiobook versions of Dreams from My Father in February 2006 and for The Audacity of Hope in February 2008. - -d7e9ab6e11f54f7da0aa6c676544e083 0 Obama won Best Spoken Word Album Grammy Awards for abridged audiobook versions of Dreams from My Father in February 2006 and for The Audacity of Hope . - S:TEMPORAL This was in February 2008 . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 462/527 # - -'His concession speech after the New Hampshire primary was set to music by independent artists as the music video' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> 'His concession speech after the New Hampshire primary was set to music by independent artists as the music video' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# His concession speech after the New Hampshire primary was set to music by independent artists as the music video - -1b062f7273e34870a70ceefbdf318616 0 His concession speech after the New Hampshire primary was set to music by independent artists as the music video - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 463/527 # - -'Yes We Can, which was viewed 10 million times on YouTube in its first month and received a Daytime Emmy Award.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> CO/LIST ('and', SharedNPPostCoordinationExtractor) - ├───n───> 'Yes We Can , which was viewed 10 million times on YouTube in its first month .' - └───n───> 'Yes We Can , which received a Daytime Emmy Award .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# Yes We Can, which was viewed 10 million times on YouTube in its first month and received a Daytime Emmy Award. - -d98c33b05baf48dfaedb3b822ba777fa 0 Yes We Can , which was viewed 10 million times on YouTube in its first month . - L:LIST 6a1d17fd6f42443aaadd131d5e1795a3 - -6a1d17fd6f42443aaadd131d5e1795a3 0 Yes We Can , which received a Daytime Emmy Award . - L:LIST d98c33b05baf48dfaedb3b822ba777fa - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 464/527 # - -'In December 2008 and in 2012, Time magazine named Obama as its Person of the Year.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - ├────────s────────> 'This was as its Person of the Year .' - └───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - ├───s───> 'This was in December 2008 and in 2012 .' - └───n───> 'Time magazine named Obama .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# In December 2008 and in 2012, Time magazine named Obama as its Person of the Year. - -3e61969288824ea7a957b21575574ab3 0 Time magazine named Obama . - S:TEMPORAL This was in December 2008 and in 2012 . - S:UNKNOWN_SUBORDINATION This was as its Person of the Year . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 465/527 # - -'The 2008 awarding was for his historic candidacy and election, which Time described as the steady march of seemingly impossible accomplishments.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/DESCRIBING_DEFINITION ('which', NonRestrictiveRelativeClauseWhoWhichExtractor) - ├───n───> 'The 2008 awarding was for his historic candidacy and election .' - └───s───> 'Time described as the steady march of seemingly impossible accomplishments his historic candidacy and election .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# The 2008 awarding was for his historic candidacy and election, which Time described as the steady march of seemingly impossible accomplishments. - -13d339f3bff242d786fde50af1b6b6cc 0 The 2008 awarding was for his historic candidacy and election . - L:DESCRIBING_DEFINITION fe749e1c62234a9f8132de59ee49496c - -fe749e1c62234a9f8132de59ee49496c 1 Time described as the steady march of seemingly impossible accomplishments his historic candidacy and election . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 466/527 # - -'On May 25, 2011, Obama became the first President of the United States to address both houses of the UK Parliament in Westminster Hall, London.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/ELABORATION (NULL, NonRestrictiveAppositionExtractor) - ├─────────────s─────────────> 'Westminster Hall was London .' - └───n───> SUB/PURPOSE (NULL, PurposePostExtractor) - ├───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - | ├───s───> 'This was on May 25 , 2011 .' - | └───n───> 'Obama became the first President of the United States .' - └────────s────────> 'This was to address both houses of the UK Parliament in Westminster Hall .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# On May 25, 2011, Obama became the first President of the United States to address both houses of the UK Parliament in Westminster Hall, London. - -ee8250a858f24a03b8327d137aff68ef 0 Obama became the first President of the United States . - S:TEMPORAL This was on May 25 , 2011 . - S:PURPOSE This was to address both houses of the UK Parliament in Westminster Hall . - L:ELABORATION 81386678fea54159aa1a809b12324179 - -81386678fea54159aa1a809b12324179 1 Westminster Hall was London . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 467/527 # - -'This was only the fifth occurrence since the start of the 20th century of a head of state being extended this invitation, following Charles de Gaulle in 1960, Nelson Mandela in 1996, Queen Elizabeth II in 2002 and Pope Benedict XVI in 2010.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) - ├──────────────────s──────────────────> 'Elizabeth II was Queen .' - └───n───> SUB/IDENTIFYING_DEFINITION ('', RestrictiveParticipialExtractor) - ├─────────────n─────────────> 'This was only the fifth occurrence since the start of the 20th century of a head of state .' - └───s───> SUB/TEMPORAL (NULL, PrepositionalMiddleFinalExtractor) - ├───s───> CO/LIST (NULL, PostListNPExtractor) - | ├───n───> 'This was following Charles de Gaulle in 1960 .' - | ├───n───> 'This was following Nelson Mandela in 1996 .' - | ├───n───> 'This was following Elizabeth II in 2002 .' - | └───n───> 'This was following Pope Benedict XVI in 2010 .' - └────────n────────> 'State was being extended this invitation .' - -### STEP 2) DO DISCOURSE EXTRACTION ### - -# This was only the fifth occurrence since the start of the 20th century of a head of state being extended this invitation, following Charles de Gaulle in 1960, Nelson Mandela in 1996, Queen Elizabeth II in 2002 and Pope Benedict XVI in 2010. - -6f92c7b390ef4ee1aacb216f87855039 0 This was only the fifth occurrence since the start of the 20th century of a head of state . - L:IDENTIFYING_DEFINITION 97dbaf50105c4b0bae59089bc88905bf - L:ELABORATION 3d42f6c77c4e4a588b2a297720ffcc99 - -97dbaf50105c4b0bae59089bc88905bf 1 State was being extended this invitation . - L:TEMPORAL b693ad0c33dd47dd946b246db716db2c - L:TEMPORAL 68a0e6f1e0d448d5ae609d5ed7d160da - L:TEMPORAL 2f4ee47a809b4ecca769a58e602e560e - L:TEMPORAL 2036b402561248c7ad163decb31a3bbd - -b693ad0c33dd47dd946b246db716db2c 2 This was following Charles de Gaulle in 1960 . - L:LIST 68a0e6f1e0d448d5ae609d5ed7d160da - L:LIST 2f4ee47a809b4ecca769a58e602e560e - L:LIST 2036b402561248c7ad163decb31a3bbd - -68a0e6f1e0d448d5ae609d5ed7d160da 2 This was following Nelson Mandela in 1996 . - L:LIST 2f4ee47a809b4ecca769a58e602e560e - L:LIST 2036b402561248c7ad163decb31a3bbd - L:LIST b693ad0c33dd47dd946b246db716db2c - -2f4ee47a809b4ecca769a58e602e560e 2 This was following Elizabeth II in 2002 . - L:LIST 2036b402561248c7ad163decb31a3bbd - L:LIST b693ad0c33dd47dd946b246db716db2c - L:LIST 68a0e6f1e0d448d5ae609d5ed7d160da - -2036b402561248c7ad163decb31a3bbd 2 This was following Pope Benedict XVI in 2010 . - L:LIST b693ad0c33dd47dd946b246db716db2c - L:LIST 68a0e6f1e0d448d5ae609d5ed7d160da - L:LIST 2f4ee47a809b4ecca769a58e602e560e - -3d42f6c77c4e4a588b2a297720ffcc99 1 Elizabeth II was Queen . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 468/527 # - -'On October 9, 2009, the Norwegian Nobel Committee announced that Obama had won the 2009 Nobel Peace Prize for his extraordinary efforts to strengthen international diplomacy and cooperation between peoples.' - -### Step 1) CREATE SENTENCE DISCOURSE TREE ### - -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/ATTRIBUTION (NULL, SubordinationPostAttributionExtractor2) - ├─────────────s─────────────> 'This was what the Norwegian Nobel Committee announced on October 9 , 2009 .' - └───n───> SUB/PURPOSE (NULL, PurposePostExtractor) - ├───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - | ├───s───> 'This was for his extraordinary efforts .' - | └───n───> 'Obama had won the 2009 Nobel Peace Prize .' - └────────s────────> 'This was to strengthen international diplomacy and cooperation between peoples .' - -### STEP 2) DO DISCOURSE EXTRACTION ### +# Alan Bean joined NASA in 1963 where he became a member of the Apollo 12 mission along with Alfred Worden as back up pilot and David Scott as commander . -# On October 9, 2009, the Norwegian Nobel Committee announced that Obama had won the 2009 Nobel Peace Prize for his extraordinary efforts to strengthen international diplomacy and cooperation between peoples. +047539e431bf458da12b8667e48cd0b1 0 Alan Bean joined NASA in 1963 . + L:ELABORATION 9e25bd96328b48b1b70758406f0e1596 -453cb84b8f98466986c5221dbd6eb747 0 Obama had won the 2009 Nobel Peace Prize . - S:UNKNOWN_SUBORDINATION This was for his extraordinary efforts . - S:PURPOSE This was to strengthen international diplomacy and cooperation between peoples . - S:ATTRIBUTION This was what the Norwegian Nobel Committee announced on October 9 , 2009 . +9e25bd96328b48b1b70758406f0e1596 1 He became a member of the Apollo 12 mission . + S:UNKNOWN_SUBORDINATION This was along with Alfred Worden as commander . + L:UNKNOWN_SUBORDINATION f60eee9a8fdc44d89c44e4a4f6ffeb99 + L:UNKNOWN_SUBORDINATION 13e64d845867437cbbd77ed640acd049 +f60eee9a8fdc44d89c44e4a4f6ffeb99 2 This was as back up pilot . + L:LIST 13e64d845867437cbbd77ed640acd049 -### STEP 3) DO SENTENCE SIMPLIFICATION ### +13e64d845867437cbbd77ed640acd049 2 This was as back up David Scott . + L:LIST f60eee9a8fdc44d89c44e4a4f6ffeb99 -DEACTIVATED -# Processing sentence 469/527 # +# Processing sentence 105/554 # -'Obama accepted this award in Oslo, Norway on December 10, 2009, with deep gratitude and great humility.' +'AIDS -LRB- journal -RRB- is published by Lippincott Williams & Wilkins in the UK where English is the main language .' ### Step 1) CREATE SENTENCE DISCOURSE TREE ### CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) - ├─────────────s─────────────> 'This was in Oslo , Norway on December 10 , 2009 .' - └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - ├───s───> CO/LIST (NULL, PostListNPExtractor) - | ├───n───> 'This was with deep gratitude .' - | └───n───> 'This was with great humility .' - └────────n────────> 'Obama accepted this award .' +└───n───> SUB/ATTRIBUTION (NULL, SubordinationPostAttributionExtractor) + ├───s───> 'This was what AIDS -LRB- journal -RRB- is published by Lippincott Williams & Wilkins in the UK .' + └───n───> 'Where English is the main language .' ### STEP 2) DO DISCOURSE EXTRACTION ### -# Obama accepted this award in Oslo, Norway on December 10, 2009, with deep gratitude and great humility. - -c984486729a54f1b80c35c4150895ef0 0 Obama accepted this award . - S:TEMPORAL This was in Oslo , Norway on December 10 , 2009 . - L:UNKNOWN_SUBORDINATION 70898b062a4348388b963ddfd9cf78af - L:UNKNOWN_SUBORDINATION 33d9b41ba3c246839a6d5bca77edb38d +# AIDS -LRB- journal -RRB- is published by Lippincott Williams & Wilkins in the UK where English is the main language . -70898b062a4348388b963ddfd9cf78af 1 This was with deep gratitude . - L:LIST 33d9b41ba3c246839a6d5bca77edb38d +c3d294a933e442e3b3de34104abd124e 0 Where English is the main language . + S:ATTRIBUTION This was what AIDS -LRB- journal -RRB- is published by Lippincott Williams & Wilkins in the UK . -33d9b41ba3c246839a6d5bca77edb38d 1 This was with great humility . - L:LIST 70898b062a4348388b963ddfd9cf78af +# Processing sentence 106/554 # -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 470/527 # - -'The award drew a mixture of praise and criticism from world leaders and media figures.' +'William Anders was born on October 17 , 1933 in British Hong Kong , served as a fighter pilot and crew member of Apollo 8 .' ### Step 1) CREATE SENTENCE DISCOURSE TREE ### CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - ├───s───> 'This was from world leaders and media figures .' - └───n───> 'The award drew a mixture of praise and criticism .' +└───n───> SUB/UNKNOWN_SUBORDINATION ('', ParticipialMiddleExtractor) + ├───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) + | ├───s───> 'This was in British Hong Kong .' + | └───n───> 'William Anders was born on October 17 , 1933 .' + └────────s────────> 'British Hong Kong was served as a fighter pilot and crew member of Apollo 8 .' ### STEP 2) DO DISCOURSE EXTRACTION ### -# The award drew a mixture of praise and criticism from world leaders and media figures. - -16304123be15459b881f24cfe41d1175 0 The award drew a mixture of praise and criticism . - S:UNKNOWN_SUBORDINATION This was from world leaders and media figures . +# William Anders was born on October 17 , 1933 in British Hong Kong , served as a fighter pilot and crew member of Apollo 8 . +4f7166a96d0b4c498ac54c43dc7eb24b 0 William Anders was born on October 17 , 1933 . + S:SPATIAL This was in British Hong Kong . + L:UNKNOWN_SUBORDINATION c99c7e4b89cc4ea2a3b36721f5786b7e -### STEP 3) DO SENTENCE SIMPLIFICATION ### +c99c7e4b89cc4ea2a3b36721f5786b7e 1 British Hong Kong was served as a fighter pilot and crew member of Apollo 8 . -DEACTIVATED -# Processing sentence 471/527 # +# Processing sentence 107/554 # -'Obama's peace prize was called a stunning surprise by The New York Times.' +'A Wizard of Mars is 560 pages long and has the ISBN number 978-0-15-204770-2 .' ### Step 1) CREATE SENTENCE DISCOURSE TREE ### CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - ├───s───> 'This was by The New York Times .' - └───n───> 'Obama 's peace prize was called a stunning surprise .' +└───n───> CO/LIST ('and', SharedNPPostCoordinationExtractor) + ├───n───> 'A Wizard of Mars is 560 pages long .' + └───n───> 'A Wizard of Mars has the ISBN number 978-0-15-204770-2 .' ### STEP 2) DO DISCOURSE EXTRACTION ### -# Obama's peace prize was called a stunning surprise by The New York Times. - -cb04491fc2c640909e43d64a89c6d167 0 Obama 's peace prize was called a stunning surprise . - S:UNKNOWN_SUBORDINATION This was by The New York Times . +# A Wizard of Mars is 560 pages long and has the ISBN number 978-0-15-204770-2 . +d627ea2ef1f4491db2958def3734e5b8 0 A Wizard of Mars is 560 pages long . + L:LIST e8960fac459b4db8a9e45c35240ee0f1 -### STEP 3) DO SENTENCE SIMPLIFICATION ### +e8960fac459b4db8a9e45c35240ee0f1 0 A Wizard of Mars has the ISBN number 978-0-15-204770-2 . + L:LIST d627ea2ef1f4491db2958def3734e5b8 -DEACTIVATED -# Processing sentence 472/527 # +# Processing sentence 108/554 # -'Obama is the fourth U.S. president to be awarded the Nobel Peace Prize and the third to become a Nobel laureate while in office.' +'Alan Shepard , who was born in New Hampshire , was awarded the United States Navy Distinguished Service Medal , which is higher than the department of commerce gold medal .' ### Step 1) CREATE SENTENCE DISCOURSE TREE ### CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> CO/LIST (NULL, PostListNPExtractor) - ├───n───> 'Obama is the fourth U.S. president to be awarded the Nobel Peace Prize to become a Nobel laureate while in office .' - └───n───> 'Obama is the fourth U.S. president to be awarded the third to become a Nobel laureate while in office .' +└───n───> SUB/DESCRIBING_DEFINITION ('who', NonRestrictiveRelativeClauseWhoWhichExtractor) + ├───n───> SUB/DESCRIBING_DEFINITION ('which', NonRestrictiveRelativeClauseWhoWhichExtractor) + | ├───n───> 'Alan Shepard was awarded the United States Navy Distinguished Service Medal .' + | └───s───> 'The United States Navy Distinguished Service Medal is higher than the department of commerce gold medal .' + └────────s────────> 'Alan Shepard was born in New Hampshire .' ### STEP 2) DO DISCOURSE EXTRACTION ### -# Obama is the fourth U.S. president to be awarded the Nobel Peace Prize and the third to become a Nobel laureate while in office. +# Alan Shepard , who was born in New Hampshire , was awarded the United States Navy Distinguished Service Medal , which is higher than the department of commerce gold medal . -3075755133cc41fbabd4688b91836f1d 0 Obama is the fourth U.S. president to be awarded the Nobel Peace Prize to become a Nobel laureate while in office . - L:LIST 18a1d6009e374fccb295e2ceabdfdc89 +e8ffebad2aff4d92812c8bcd8b4effd5 0 Alan Shepard was awarded the United States Navy Distinguished Service Medal . + L:DESCRIBING_DEFINITION 90f4ca3dfe8643bd8f456de4f4ed5478 + L:DESCRIBING_DEFINITION 44d6e76d40e6474091a38e8f197d92ff -18a1d6009e374fccb295e2ceabdfdc89 0 Obama is the fourth U.S. president to be awarded the third to become a Nobel laureate while in office . - L:LIST 3075755133cc41fbabd4688b91836f1d +90f4ca3dfe8643bd8f456de4f4ed5478 1 The United States Navy Distinguished Service Medal is higher than the department of commerce gold medal . +44d6e76d40e6474091a38e8f197d92ff 1 Alan Shepard was born in New Hampshire . -### STEP 3) DO SENTENCE SIMPLIFICATION ### -DEACTIVATED +# Processing sentence 109/554 # -# Processing sentence 473/527 # - -'Obama's Nobel Prize has been viewed skeptically in subsequent years, especially after the director of the Nobel Institute, Geir Lundestad, said Obama's Peace Prize did not have the desired effect.' +'The ground of A.S. Gubbio 1910 is located in Italy , country of Italians where the leader is Sergio Mattarella .' ### Step 1) CREATE SENTENCE DISCOURSE TREE ### CO/UNKNOWN_COORDINATION (NULL, ROOT) └───n───> SUB/ELABORATION (NULL, NonRestrictiveAppositionExtractor) - ├─────────────s─────────────> 'Geir Lundestad was the Nobel Institute .' - └───n───> SUB/TEMPORAL_BEFORE ('especially after', SubordinationPostExtractor) - ├────────n────────> 'Obama 's Nobel Prize has been viewed skeptically in subsequent years .' - └───s───> SUB/ATTRIBUTION (NULL, SubordinationPostAttributionExtractor) - ├───s───> 'This was what the director of the Nobel Institute said .' - └───n───> 'Obama 's Peace Prize did not have the desired effect .' + ├───s───> 'Country of Italians where the leader is Sergio Mattarella were Italy .' + └───n───> 'The ground of A.S. Gubbio 1910 is located in Italy .' ### STEP 2) DO DISCOURSE EXTRACTION ### -# Obama's Nobel Prize has been viewed skeptically in subsequent years, especially after the director of the Nobel Institute, Geir Lundestad, said Obama's Peace Prize did not have the desired effect. - -b74465b465944ffab6d2afd55b007b52 0 Obama 's Nobel Prize has been viewed skeptically in subsequent years . - L:TEMPORAL_BEFORE d7b532413de94b4c8498d97ba696c937 - L:ELABORATION 43d4a18c25e04314992874e8c98df332 +# The ground of A.S. Gubbio 1910 is located in Italy , country of Italians where the leader is Sergio Mattarella . -d7b532413de94b4c8498d97ba696c937 1 Obama 's Peace Prize did not have the desired effect . - S:ATTRIBUTION This was what the director of the Nobel Institute said . +5b763d49bfd2426ebd1f1931296668ed 0 The ground of A.S. Gubbio 1910 is located in Italy . + L:ELABORATION 7533d7b383c9451893094efa77f02332 -43d4a18c25e04314992874e8c98df332 1 Geir Lundestad was the Nobel Institute . +7533d7b383c9451893094efa77f02332 1 Country of Italians where the leader is Sergio Mattarella were Italy . -### STEP 3) DO SENTENCE SIMPLIFICATION ### +# Processing sentence 110/554 # -DEACTIVATED - -# Processing sentence 474/527 # - -'Obama, with Joe Biden and Donald Trump at the latter's inauguration on January 20, 2017' +'John Coper Powys wrote the novel Owen Glendower and A Glastonbury Romance .' ### Step 1) CREATE SENTENCE DISCOURSE TREE ### CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) - ├───s───> 'This is at the latter 's inauguration on January 20 , 2017 .' - └───n───> 'Obama , with Joe Biden and Donald Trump .' +└───n───> CO/LIST (NULL, PostListNPExtractor) + ├───n───> 'John Coper Powys wrote the novel Owen Glendower .' + └───n───> 'John Coper Powys wrote the novel A Glastonbury Romance .' ### STEP 2) DO DISCOURSE EXTRACTION ### -# Obama, with Joe Biden and Donald Trump at the latter's inauguration on January 20, 2017 - -a70c54b94e7b4604a6e30f407e06bd5f 0 Obama , with Joe Biden and Donald Trump . - S:TEMPORAL This is at the latter 's inauguration on January 20 , 2017 . +# John Coper Powys wrote the novel Owen Glendower and A Glastonbury Romance . +e542e01c70e34995b0c4ad3eff7af5a4 0 John Coper Powys wrote the novel Owen Glendower . + L:LIST af22e30bc37b4153bdc177260d0879c9 -### STEP 3) DO SENTENCE SIMPLIFICATION ### +af22e30bc37b4153bdc177260d0879c9 0 John Coper Powys wrote the novel A Glastonbury Romance . + L:LIST e542e01c70e34995b0c4ad3eff7af5a4 -DEACTIVATED -# Processing sentence 475/527 # +# Processing sentence 111/554 # -'Barack Obama's presidency ended at noon on January 20, 2017, immediately following the inauguration of his Republican successor, Donald Trump.' +'Agremiação Sportiva Arapiraquense play in the Brazilian-based Campeonato Brasileiro Série C league and they played in the 2015 season .' ### Step 1) CREATE SENTENCE DISCOURSE TREE ### CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/ELABORATION (NULL, NonRestrictiveAppositionExtractor) - ├───s───> 'Donald Trump was his Republican successor .' - └───n───> 'Barack Obama 's presidency ended at noon on January 20 , 2017 , immediately following the inauguration of his Republican successor .' +└───n───> CO/LIST ('and', CoordinationExtractor) + ├───n───> 'Agremiação Sportiva Arapiraquense play in the Brazilian-based Campeonato Brasileiro Série C league .' + └───n───> 'They played in the 2015 season .' ### STEP 2) DO DISCOURSE EXTRACTION ### -# Barack Obama's presidency ended at noon on January 20, 2017, immediately following the inauguration of his Republican successor, Donald Trump. - -07e5c43751c141bba485200152a7ca04 0 Barack Obama 's presidency ended at noon on January 20 , 2017 , immediately following the inauguration of his Republican successor . - L:ELABORATION 1bbe8f6df4a645c1b199fec65f4652aa - -1bbe8f6df4a645c1b199fec65f4652aa 1 Donald Trump was his Republican successor . +# Agremiação Sportiva Arapiraquense play in the Brazilian-based Campeonato Brasileiro Série C league and they played in the 2015 season . +52189256c6f5433d96800cc71063c1a2 0 Agremiação Sportiva Arapiraquense play in the Brazilian-based Campeonato Brasileiro Série C league . + L:LIST db81ec274df94e6caacb0fa8a583d84c -### STEP 3) DO SENTENCE SIMPLIFICATION ### +db81ec274df94e6caacb0fa8a583d84c 0 They played in the 2015 season . + L:LIST 52189256c6f5433d96800cc71063c1a2 -DEACTIVATED -# Processing sentence 476/527 # +# Processing sentence 112/554 # -'After the inauguration, Obama lifted off on Executive One, circled the White House, and flew to Joint Base Andrews.' +'A Glastonbury Romance with the ISBN 0-7156-3648-0 has 1174 .' ### Step 1) CREATE SENTENCE DISCOURSE TREE ### CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> CO/UNKNOWN_COORDINATION (NULL, SharedNPPostCoordinationExtractor) - ├───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalInitialExtractor) - | ├───s───> 'This was after the inauguration .' - | └───n───> 'Obama lifted off on Executive One .' - ├───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalInitialExtractor) - | ├───s───> 'This was after the inauguration .' - | └───n───> 'Obama circled the White House .' - └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalInitialExtractor) - ├───s───> 'This was after the inauguration .' - └───n───> 'Obama flew to Joint Base Andrews .' +└───n───> 'A Glastonbury Romance with the ISBN 0-7156-3648-0 has 1174 .' ### STEP 2) DO DISCOURSE EXTRACTION ### -# After the inauguration, Obama lifted off on Executive One, circled the White House, and flew to Joint Base Andrews. - -5c30f8bebcd84f4197c664b6427dd9a6 0 Obama lifted off on Executive One . - S:UNKNOWN_SUBORDINATION This was after the inauguration . - -6f66770040a5458b9e7b5b6337d49d0b 0 Obama circled the White House . - S:UNKNOWN_SUBORDINATION This was after the inauguration . +# A Glastonbury Romance with the ISBN 0-7156-3648-0 has 1174 . -145c6906a8e5466191c0bce5e4000275 0 Obama flew to Joint Base Andrews . - S:UNKNOWN_SUBORDINATION This was after the inauguration . +cacc9c11505a4abeb15dac9d857a7a8c 0 A Glastonbury Romance with the ISBN 0-7156-3648-0 has 1174 . -### STEP 3) DO SENTENCE SIMPLIFICATION ### +# Processing sentence 113/554 # -DEACTIVATED - -# Processing sentence 477/527 # - -'The family currently rents a house in Kalorama, Washington, D.C.' +'Administrative Science Quarterly was published by Cornell University in the state of New York .' ### Step 1) CREATE SENTENCE DISCOURSE TREE ### CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/ELABORATION (NULL, NonRestrictiveAppositionExtractor) - ├───s───> 'Kalorama is Washington , D.C. .' - └───n───> 'The family currently rents a house in Kalorama .' +└───n───> 'Administrative Science Quarterly was published by Cornell University in the state of New York .' ### STEP 2) DO DISCOURSE EXTRACTION ### -# The family currently rents a house in Kalorama, Washington, D.C. - -9cb1dba5423f4481b878d70af2bf1d73 0 The family currently rents a house in Kalorama . - L:ELABORATION b0ea1d04bc4b4b8f8cb8b22233553a85 +# Administrative Science Quarterly was published by Cornell University in the state of New York . -b0ea1d04bc4b4b8f8cb8b22233553a85 1 Kalorama is Washington , D.C. . +40e27203fad24bc4971ea31925491f1c 0 Administrative Science Quarterly was published by Cornell University in the state of New York . -### STEP 3) DO SENTENCE SIMPLIFICATION ### +# Processing sentence 114/554 # -DEACTIVATED - -# Processing sentence 478/527 # - -'A 2018 survey of historians by the American Political Science Association ranked Obama the 8th-greatest American President.' +'The ground of AS Gubbio 1910 is called Stadio Pietro Barbetti and has the capacity for a crowd of 5300 .' ### Step 1) CREATE SENTENCE DISCOURSE TREE ### CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> 'A 2018 survey of historians by the American Political Science Association ranked Obama the 8th-greatest American President .' +└───n───> CO/LIST ('and', SharedNPPostCoordinationExtractor) + ├───n───> 'The ground of AS Gubbio 1910 is called Stadio Pietro Barbetti .' + └───n───> 'The ground of AS Gubbio 1910 has the capacity for a crowd of 5300 .' ### STEP 2) DO DISCOURSE EXTRACTION ### -# A 2018 survey of historians by the American Political Science Association ranked Obama the 8th-greatest American President. - -64e66ce56ce649ee975536c979504fed 0 A 2018 survey of historians by the American Political Science Association ranked Obama the 8th-greatest American President . +# The ground of AS Gubbio 1910 is called Stadio Pietro Barbetti and has the capacity for a crowd of 5300 . +0e1ec4d199334531ad156f9544e0864a 0 The ground of AS Gubbio 1910 is called Stadio Pietro Barbetti . + L:LIST f7c7f1c5f7384deab505730f2549bd54 -### STEP 3) DO SENTENCE SIMPLIFICATION ### +f7c7f1c5f7384deab505730f2549bd54 0 The ground of AS Gubbio 1910 has the capacity for a crowd of 5300 . + L:LIST 0e1ec4d199334531ad156f9544e0864a -DEACTIVATED -# Processing sentence 479/527 # +# Processing sentence 115/554 # -'Obama gained 10 spots from the same survey in 2015 from the Brookings Institute that ranked Obama the 18th-greatest American President.' +'The 1634 hardcover publication of The Bavarian Crisis was authored by Virginia DeMarco and Eric Flint .' ### Step 1) CREATE SENTENCE DISCOURSE TREE ### CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/IDENTIFYING_DEFINITION ('that', RestrictiveRelativeClauseWhoWhichExtractor) - ├───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) - | ├────────s────────> 'This was from the same survey in 2015 .' - | └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - | ├───s───> 'This was from the Brookings Institute .' - | └───n───> 'Obama gained 10 spots .' - └─────────────s─────────────> 'The Brookings Institute ranked Obama the 18th-greatest American President .' +└───n───> CO/LIST (NULL, PostListNPExtractor) + ├───n───> 'The 1634 hardcover publication of The Bavarian Crisis was authored by Virginia DeMarco .' + └───n───> 'The 1634 hardcover publication of The Bavarian Crisis was authored by Eric Flint .' ### STEP 2) DO DISCOURSE EXTRACTION ### -# Obama gained 10 spots from the same survey in 2015 from the Brookings Institute that ranked Obama the 18th-greatest American President. - -59cdb477a34245338e9dff542a4441c4 0 Obama gained 10 spots . - S:UNKNOWN_SUBORDINATION This was from the Brookings Institute . - S:TEMPORAL This was from the same survey in 2015 . - L:IDENTIFYING_DEFINITION d9e0d29670fd4ae79ffe25cb337d8094 - -d9e0d29670fd4ae79ffe25cb337d8094 1 The Brookings Institute ranked Obama the 18th-greatest American President . +# The 1634 hardcover publication of The Bavarian Crisis was authored by Virginia DeMarco and Eric Flint . +090f9ea77f584711b63e49f15e067f3a 0 The 1634 hardcover publication of The Bavarian Crisis was authored by Virginia DeMarco . + L:LIST f11fb39dac504d388e3540f378c4d745 -### STEP 3) DO SENTENCE SIMPLIFICATION ### +f11fb39dac504d388e3540f378c4d745 0 The 1634 hardcover publication of The Bavarian Crisis was authored by Eric Flint . + L:LIST 090f9ea77f584711b63e49f15e067f3a -DEACTIVATED -# Processing sentence 480/527 # +# Processing sentence 116/554 # -'On March 2, 2017, the John F. Kennedy Presidential Library and Museum awarded the annual Profile in Courage Award to Obama for his enduring commitment to democratic ideals and elevating the standard of political courage.' +'Alkmaar `` AZ '' Zaanstreek , the 17023 member strong club , played in the Eredivisie in 2014-15 .' ### Step 1) CREATE SENTENCE DISCOURSE TREE ### CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> CO/UNKNOWN_COORDINATION (NULL, SharedNPPostParticipalExtractor) - ├───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - | ├─────────────s─────────────> 'This was in Courage Award .' - | └───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - | ├────────s────────> 'This was on March 2 , 2017 .' - | └───n───> CO/LIST (NULL, PreListNPExtractor) - | ├───n───> 'The John F. Kennedy Presidential Library awarded the annual Profile .' - | └───n───> 'Museum awarded the annual Profile .' - └───n───> CO/LIST ('and', SharedNPPostCoordinationExtractor) - ├───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - | ├────────s────────> 'This was on March 2 , 2017 .' - | └───n───> CO/LIST (NULL, PreListNPExtractor) - | ├───n───> 'The John F. Kennedy Presidential Library were obama for his enduring commitment to democratic ideals .' - | └───n───> 'Museum were obama for his enduring commitment to democratic ideals .' - └───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - ├────────s────────> 'This was on March 2 , 2017 .' - └───n───> CO/LIST (NULL, PreListNPExtractor) - ├───n───> 'The John F. Kennedy Presidential Library were elevating the standard of political courage .' - └───n───> 'Museum were elevating the standard of political courage .' +└───n───> SUB/ELABORATION (NULL, NonRestrictiveAppositionExtractor) + ├────────s────────> 'Alkmaar `` AZ '' Zaanstreek was the 17023 member strong club .' + └───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) + ├───s───> 'This was in 2014-15 .' + └───n───> 'Alkmaar `` AZ '' Zaanstreek played in the Eredivisie .' ### STEP 2) DO DISCOURSE EXTRACTION ### -# On March 2, 2017, the John F. Kennedy Presidential Library and Museum awarded the annual Profile in Courage Award to Obama for his enduring commitment to democratic ideals and elevating the standard of political courage. - -cd6e1265fb3b45889279489def1681f0 0 The John F. Kennedy Presidential Library awarded the annual Profile . - S:TEMPORAL This was on March 2 , 2017 . - S:UNKNOWN_SUBORDINATION This was in Courage Award . - L:LIST 9097df1ea84544f2971d7f7be4c5fd0b - -9097df1ea84544f2971d7f7be4c5fd0b 0 Museum awarded the annual Profile . - S:TEMPORAL This was on March 2 , 2017 . - S:UNKNOWN_SUBORDINATION This was in Courage Award . - L:LIST cd6e1265fb3b45889279489def1681f0 - -53d0b643fe0d482fbc2649a55c49dac1 0 The John F. Kennedy Presidential Library were obama for his enduring commitment to democratic ideals . - S:TEMPORAL This was on March 2 , 2017 . - L:LIST 631da844dd9949b38f874b247a6092d6 - L:LIST 893cbc2ea824488fb1531f2f9fa48466 - L:LIST 20a6ec26f50a41f19e417521d70eb2b2 - -631da844dd9949b38f874b247a6092d6 0 Museum were obama for his enduring commitment to democratic ideals . - S:TEMPORAL This was on March 2 , 2017 . - L:LIST 53d0b643fe0d482fbc2649a55c49dac1 - L:LIST 893cbc2ea824488fb1531f2f9fa48466 - L:LIST 20a6ec26f50a41f19e417521d70eb2b2 - -893cbc2ea824488fb1531f2f9fa48466 0 The John F. Kennedy Presidential Library were elevating the standard of political courage . - S:TEMPORAL This was on March 2 , 2017 . - L:LIST 20a6ec26f50a41f19e417521d70eb2b2 - L:LIST 53d0b643fe0d482fbc2649a55c49dac1 - L:LIST 631da844dd9949b38f874b247a6092d6 +# Alkmaar `` AZ '' Zaanstreek , the 17023 member strong club , played in the Eredivisie in 2014-15 . -20a6ec26f50a41f19e417521d70eb2b2 0 Museum were elevating the standard of political courage . - S:TEMPORAL This was on March 2 , 2017 . - L:LIST 893cbc2ea824488fb1531f2f9fa48466 - L:LIST 53d0b643fe0d482fbc2649a55c49dac1 - L:LIST 631da844dd9949b38f874b247a6092d6 +9367b1fc3e7048818e0046f8134a7819 0 Alkmaar `` AZ '' Zaanstreek played in the Eredivisie . + S:TEMPORAL This was in 2014-15 . + L:ELABORATION fca9cafec742456a90c3a934b49ff5d0 +fca9cafec742456a90c3a934b49ff5d0 1 Alkmaar `` AZ '' Zaanstreek was the 17023 member strong club . -### STEP 3) DO SENTENCE SIMPLIFICATION ### -DEACTIVATED +# Processing sentence 117/554 # -# Processing sentence 481/527 # - -'On April 24, 2017, in his first public appearance out of office, Obama appeared at a seminar at the University of Chicago aimed at the engagement with a new generation as well as an appeal for their participation in politics.' +'The architect of 3Arena , in North Wall Dublin and completed in December 2008 , is Populous .' ### Step 1) CREATE SENTENCE DISCOURSE TREE ### CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - ├───s───> SUB/IDENTIFYING_DEFINITION ('', RestrictiveParticipialExtractor) - | ├───n───> 'This was at the University of Chicago .' - | └───s───> 'Chicago was aimed at the engagement with a new generation as well as an appeal for their participation in politics .' - └───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - ├───s───> 'This was on April 24 , 2017 , in his first public appearance out of office .' - └───n───> 'Obama appeared at a seminar .' +└───n───> SUB/IDENTIFYING_DEFINITION ('', RestrictiveParticipialExtractor) + ├───n───> SUB/SPATIAL (NULL, PrepositionalMiddleFinalExtractor) + | ├───s───> 'This is in North Wall .' + | └───n───> 'The architect of 3Arena is Populous .' + └────────s────────> 'North Wall is dublin and completed in December 2008 .' ### STEP 2) DO DISCOURSE EXTRACTION ### -# On April 24, 2017, in his first public appearance out of office, Obama appeared at a seminar at the University of Chicago aimed at the engagement with a new generation as well as an appeal for their participation in politics. - -bc62663e57a84cbc91aadf462177af98 0 Obama appeared at a seminar . - S:TEMPORAL This was on April 24 , 2017 , in his first public appearance out of office . - L:UNKNOWN_SUBORDINATION 8b4fc7990bb2459c9871c430a76fd3a4 - -8b4fc7990bb2459c9871c430a76fd3a4 1 This was at the University of Chicago . - L:IDENTIFYING_DEFINITION 9e38f49fec804dd8a469a6a2009dea76 +# The architect of 3Arena , in North Wall Dublin and completed in December 2008 , is Populous . -9e38f49fec804dd8a469a6a2009dea76 2 Chicago was aimed at the engagement with a new generation as well as an appeal for their participation in politics . +bbd56411a6d54b68892182616d4e8ff8 0 The architect of 3Arena is Populous . + S:SPATIAL This is in North Wall . + L:IDENTIFYING_DEFINITION 1dd0b6f28aa248da8a226c79b3a022a9 +1dd0b6f28aa248da8a226c79b3a022a9 1 North Wall is dublin and completed in December 2008 . -### STEP 3) DO SENTENCE SIMPLIFICATION ### -DEACTIVATED +# Processing sentence 118/554 # -# Processing sentence 482/527 # - -'On May 4, 2017, three days ahead of the French presidential election, Obama publicly endorsed Emmanuel Macron:' +'3Arena at North Wall Quay is owned by Live Nation Entertainment .' ### Step 1) CREATE SENTENCE DISCOURSE TREE ### CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - ├───s───> 'This was on May 4 , 2017 , three days ahead of the French presidential election .' - └───n───> 'Obama publicly endorsed Emmanuel Macron : .' +└───n───> '3Arena at North Wall Quay is owned by Live Nation Entertainment .' ### STEP 2) DO DISCOURSE EXTRACTION ### -# On May 4, 2017, three days ahead of the French presidential election, Obama publicly endorsed Emmanuel Macron: - -5c187ba0324344e88c1788c138b934f9 0 Obama publicly endorsed Emmanuel Macron : . - S:TEMPORAL This was on May 4 , 2017 , three days ahead of the French presidential election . +# 3Arena at North Wall Quay is owned by Live Nation Entertainment . +3cb22661c62a4c9eaa83a88b6132edc1 0 3Arena at North Wall Quay is owned by Live Nation Entertainment . -### STEP 3) DO SENTENCE SIMPLIFICATION ### -DEACTIVATED +# Processing sentence 119/554 # -# Processing sentence 483/527 # - -'He appeals to people's hopes and not their fears, and I enjoyed speaking to Emmanuel recently to hear about his independent movement and his vision for the future of France.' +'The home ground of A S Livorno Calcio -LRB- full name Associazione Sportiva -RRB- , which has 19238 members , is the Stadio Armando Picchi .' ### Step 1) CREATE SENTENCE DISCOURSE TREE ### CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> CO/LIST (', and', CoordinationExtractor) - ├────────n────────> CO/LIST ('and', SharedNPPostCoordinationExtractor) - | ├───n───> 'He appeals to people 's hopes .' - | └───n───> 'He not their fears .' - └───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) - ├────────s────────> 'This was for the future of France .' - └───n───> CO/LIST (NULL, PostListNPExtractor) - ├───n───> 'I enjoyed speaking to Emmanuel recently to hear about his independent movement .' - └───n───> 'I enjoyed speaking to Emmanuel recently to hear about his vision .' +└───n───> SUB/DESCRIBING_DEFINITION ('which', NonRestrictiveRelativeClauseWhoWhichExtractor) + ├───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) + | ├─────────────s─────────────> 'Livorno Calcio is The home ground of A S .' + | └───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) + | ├────────s────────> 'Associazione Sportiva is full name .' + | └───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) + | ├───s───> 'Armando Picchi is the Stadio .' + | └───n───> 'Livorno Calcio -LRB- Associazione Sportiva -RRB- is Armando Picchi .' + └────────s────────> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) + ├────────s────────> 'Livorno Calcio is The home ground of A S .' + └───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) + ├───s───> 'Associazione Sportiva is full name .' + └───n───> 'Livorno Calcio -LRB- Associazione Sportiva -RRB- has 19238 members .' ### STEP 2) DO DISCOURSE EXTRACTION ### -# He appeals to people's hopes and not their fears, and I enjoyed speaking to Emmanuel recently to hear about his independent movement and his vision for the future of France. +# The home ground of A S Livorno Calcio -LRB- full name Associazione Sportiva -RRB- , which has 19238 members , is the Stadio Armando Picchi . -94d9824a56a948b6bfb9be56749a451b 0 He appeals to people 's hopes . - L:LIST b400ca5f7b1c45368d4a0c7b4d8a2e97 - L:LIST 2c3fa5e789ae4980ad3931b13e58a760 - L:LIST d4acd4ff05074f5299f65d1e0123f0a6 +fd33e6620d744519b5e6449cd5568813 0 Livorno Calcio -LRB- Associazione Sportiva -RRB- is Armando Picchi . + L:ELABORATION 52d2edd02ac3441cb60573f5af5454c7 + L:ELABORATION 31078e68620640b8a4a5b89bfc9e6a6c + L:ELABORATION 64628ff337144437a8719aa1627332c5 + L:DESCRIBING_DEFINITION ca594870be6b41548053911f1e098214 -b400ca5f7b1c45368d4a0c7b4d8a2e97 0 He not their fears . - L:LIST 94d9824a56a948b6bfb9be56749a451b - L:LIST 2c3fa5e789ae4980ad3931b13e58a760 - L:LIST d4acd4ff05074f5299f65d1e0123f0a6 +52d2edd02ac3441cb60573f5af5454c7 1 Armando Picchi is the Stadio . -2c3fa5e789ae4980ad3931b13e58a760 0 I enjoyed speaking to Emmanuel recently to hear about his independent movement . - S:SPATIAL This was for the future of France . - L:LIST d4acd4ff05074f5299f65d1e0123f0a6 - L:LIST 94d9824a56a948b6bfb9be56749a451b - L:LIST b400ca5f7b1c45368d4a0c7b4d8a2e97 +31078e68620640b8a4a5b89bfc9e6a6c 1 Associazione Sportiva is full name . -d4acd4ff05074f5299f65d1e0123f0a6 0 I enjoyed speaking to Emmanuel recently to hear about his vision . - S:SPATIAL This was for the future of France . - L:LIST 2c3fa5e789ae4980ad3931b13e58a760 - L:LIST 94d9824a56a948b6bfb9be56749a451b - L:LIST b400ca5f7b1c45368d4a0c7b4d8a2e97 +64628ff337144437a8719aa1627332c5 1 Livorno Calcio is The home ground of A S . +ca594870be6b41548053911f1e098214 1 Livorno Calcio -LRB- Associazione Sportiva -RRB- has 19238 members . + L:ELABORATION 901e8952d84a4be283469d9a67d8eaf0 + L:ELABORATION 3d29f147c82a488782686377039c45ac -### STEP 3) DO SENTENCE SIMPLIFICATION ### +901e8952d84a4be283469d9a67d8eaf0 2 Associazione Sportiva is full name . -DEACTIVATED +3d29f147c82a488782686377039c45ac 2 Livorno Calcio is The home ground of A S . -# Processing sentence 484/527 # -'Macron went on to win the election.' +# Processing sentence 120/554 # + +'`` Abh.Math.Semin.Univ.Hambg '' is the abbreviation for Abhandlungen aus dem Mathematischen Seminar der Universität Hamburg and is concerned with the academic discipline of Pure Mathematics .' ### Step 1) CREATE SENTENCE DISCOURSE TREE ### CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> 'Macron went on to win the election .' +└───n───> CO/LIST ('and', SharedNPPostCoordinationExtractor) + ├───n───> '`` Abh.Math.Semin.Univ.Hambg '' is the abbreviation for Abhandlungen aus dem Mathematischen Seminar der Universität Hamburg .' + └───n───> '`` Abh.Math.Semin.Univ.Hambg '' is concerned with the academic discipline of Pure Mathematics .' ### STEP 2) DO DISCOURSE EXTRACTION ### -# Macron went on to win the election. +# `` Abh.Math.Semin.Univ.Hambg '' is the abbreviation for Abhandlungen aus dem Mathematischen Seminar der Universität Hamburg and is concerned with the academic discipline of Pure Mathematics . -c791c9ed733845288d91828430a9aa2d 0 Macron went on to win the election . +a9b8eb8b34684374bc229110f6d01e11 0 `` Abh.Math.Semin.Univ.Hambg '' is the abbreviation for Abhandlungen aus dem Mathematischen Seminar der Universität Hamburg . + L:LIST aa809f4405f548afb5b5f9d4a608958c +aa809f4405f548afb5b5f9d4a608958c 0 `` Abh.Math.Semin.Univ.Hambg '' is concerned with the academic discipline of Pure Mathematics . + L:LIST a9b8eb8b34684374bc229110f6d01e11 -### STEP 3) DO SENTENCE SIMPLIFICATION ### -DEACTIVATED +# Processing sentence 121/554 # -# Processing sentence 485/527 # - -'While in Berlin on May 25, 2017, Obama made a joint public appearance with Chancellor Angela Merkel where he stressed inclusion and for leaders to question themselves, Obama having been formally invited to Berlin while still in office as part of an effort to boost Merkel's re-election campaign.' +'Frank G Jackson leads Cleveland , part of Cuyahoga County in Ohio where 200 Pubic Square is located .' ### Step 1) CREATE SENTENCE DISCOURSE TREE ### CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) - ├───s───> 'Angela Merkel was a joint public appearance with Chancellor .' - └───n───> 'While in Berlin on May 25 , 2017 , Obama made Angela Merkel where he stressed inclusion and for leaders to question themselves , Obama having been formally invited to Berlin while still in office as part of an effort to boost Merkel 's re-election campaign .' +└───n───> 'Frank G Jackson leads Cleveland , part of Cuyahoga County in Ohio where 200 Pubic Square is located .' ### STEP 2) DO DISCOURSE EXTRACTION ### -# While in Berlin on May 25, 2017, Obama made a joint public appearance with Chancellor Angela Merkel where he stressed inclusion and for leaders to question themselves, Obama having been formally invited to Berlin while still in office as part of an effort to boost Merkel's re-election campaign. +# Frank G Jackson leads Cleveland , part of Cuyahoga County in Ohio where 200 Pubic Square is located . -fd72adf9a95c4f50a8a34ed3038347ba 0 While in Berlin on May 25 , 2017 , Obama made Angela Merkel where he stressed inclusion and for leaders to question themselves , Obama having been formally invited to Berlin while still in office as part of an effort to boost Merkel 's re-election campaign . - L:ELABORATION 54c693397bbe42fa934c20d4a9f83e3e +9dc1a636d2364d8d8199e03b37794bff 0 Frank G Jackson leads Cleveland , part of Cuyahoga County in Ohio where 200 Pubic Square is located . -54c693397bbe42fa934c20d4a9f83e3e 1 Angela Merkel was a joint public appearance with Chancellor . +# Processing sentence 122/554 # -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 486/527 # - -'Obama traveled to Kensington Palace in England and met with Prince Harry on May 27, 2017; Obama tweeted afterward that the two discussed their foundations and offering condolences in the wake of the Manchester Arena bombing that occurred five days prior.' +'Asilomar Conference Grounds was designed by Julia Morgan at the Riverside Art Musuem in California .' ### Step 1) CREATE SENTENCE DISCOURSE TREE ### CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> CO/UNKNOWN_COORDINATION (';', CoordinationExtractor) - ├─────────────n─────────────> CO/LIST ('and', SharedNPPostCoordinationExtractor) - | ├───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) - | | ├───s───> 'This was in England .' - | | └───n───> 'Obama traveled to Kensington Palace .' - | └───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) - | ├───s───> 'This was on May 27 , 2017 .' - | └───n───> 'Obama met with Prince Harry .' - └───n───> SUB/UNKNOWN_SUBORDINATION ('that', SubordinationPostExtractor) - ├──────────────────n──────────────────> 'Obama tweeted afterward .' - └───s───> SUB/IDENTIFYING_DEFINITION ('that', RestrictiveRelativeClauseWhoWhichExtractor) - ├───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) - | ├────────s────────> 'This was in the wake of the Manchester Arena bombing .' - | └───n───> CO/LIST (NULL, PostListNPExtractor) - | ├───n───> 'The two discussed their foundations .' - | └───n───> 'The two discussed offering condolences .' - └─────────────s─────────────> 'The wake of the Manchester Arena bombing occurred five days prior .' +└───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) + ├───s───> 'This was in California .' + └───n───> 'Asilomar Conference Grounds was designed by Julia Morgan at the Riverside Art Musuem .' ### STEP 2) DO DISCOURSE EXTRACTION ### -# Obama traveled to Kensington Palace in England and met with Prince Harry on May 27, 2017; Obama tweeted afterward that the two discussed their foundations and offering condolences in the wake of the Manchester Arena bombing that occurred five days prior. +# Asilomar Conference Grounds was designed by Julia Morgan at the Riverside Art Musuem in California . -8dea92eab855471785cf69c7f552a055 0 Obama traveled to Kensington Palace . - S:SPATIAL This was in England . - L:LIST 1189a9150c5a43d7aca5d16a2171df57 +02cea61f5dcd47f59d6bcf3e45e76664 0 Asilomar Conference Grounds was designed by Julia Morgan at the Riverside Art Musuem . + S:SPATIAL This was in California . -1189a9150c5a43d7aca5d16a2171df57 0 Obama met with Prince Harry . - S:TEMPORAL This was on May 27 , 2017 . - L:LIST 8dea92eab855471785cf69c7f552a055 -60c2f359e0cf4398a70e89a71cf5bbd6 0 Obama tweeted afterward . - L:UNKNOWN_SUBORDINATION 8703401d2f3c48ff8f173802dd9891aa - L:UNKNOWN_SUBORDINATION 32dda2098b754845a4feaca310a5c35a +# Processing sentence 123/554 # -8703401d2f3c48ff8f173802dd9891aa 1 The two discussed their foundations . - S:SPATIAL This was in the wake of the Manchester Arena bombing . - L:LIST 32dda2098b754845a4feaca310a5c35a - L:IDENTIFYING_DEFINITION b8c620619fc24ef2924e2196c8d59628 +'A Loyal Character is in print and was written by Qiu Xiaolong with 360 pages .' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> CO/LIST ('and', SharedNPPostCoordinationExtractor) + ├───n───> 'A Loyal Character is in print .' + └───n───> 'A Loyal Character was written by Qiu Xiaolong with 360 pages .' -32dda2098b754845a4feaca310a5c35a 1 The two discussed offering condolences . - S:SPATIAL This was in the wake of the Manchester Arena bombing . - L:LIST 8703401d2f3c48ff8f173802dd9891aa - L:IDENTIFYING_DEFINITION b8c620619fc24ef2924e2196c8d59628 +### STEP 2) DO DISCOURSE EXTRACTION ### -b8c620619fc24ef2924e2196c8d59628 2 The wake of the Manchester Arena bombing occurred five days prior . +# A Loyal Character is in print and was written by Qiu Xiaolong with 360 pages . +5d40690a9c804b60be14c996e0b76088 0 A Loyal Character is in print . + L:LIST e1d115a7a44d4c818bb89ba38f09cbc7 -### STEP 3) DO SENTENCE SIMPLIFICATION ### +e1d115a7a44d4c818bb89ba38f09cbc7 0 A Loyal Character was written by Qiu Xiaolong with 360 pages . + L:LIST 5d40690a9c804b60be14c996e0b76088 -DEACTIVATED -# Processing sentence 487/527 # +# Processing sentence 124/554 # -'On June 1, 2017, after President Trump announced his withdrawal of the United States from the Paris Agreement, Obama released a statement disagreeing with the choice:' +'Adams County , Pennsylvania which lies east of Franklin County , south of Cumberland County , northwest of Carroll County , Maryland and northeast of Frederick County , is the location of the 11th Mississippi Infantry monument which was established in 2000 and categorised as a contributing property within the United States .' ### Step 1) CREATE SENTENCE DISCOURSE TREE ### CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) - ├──────────────────s──────────────────> 'Trump was President .' - └───n───> SUB/TEMPORAL_BEFORE ('after', SubordinationPreExtractor) - ├────────s────────> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) - | ├───s───> 'This was from the Paris Agreement .' - | └───n───> 'Trump announced his withdrawal of the United States .' - └───n───> SUB/IDENTIFYING_DEFINITION ('', RestrictiveParticipialExtractor) - ├───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - | ├───s───> 'This was on June 1 , 2017 .' - | └───n───> 'Obama released a statement : .' - └────────s────────> 'A statement was disagreeing with the choice .' +└───n───> SUB/ELABORATION (NULL, NonRestrictiveAppositionExtractor) + ├───s───> SUB/IDENTIFYING_DEFINITION ('which', RestrictiveRelativeClauseWhoWhichExtractor) + | ├─────────────n─────────────> 'Adams County was Pennsylvania .' + | └───s───> SUB/UNKNOWN_SUBORDINATION (NULL, AdjectivalAdverbialMiddleFinalExtractor) + | ├────────s────────> 'This is northwest of Carroll County , Maryland and northeast .' + | └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, AdjectivalAdverbialMiddleFinalExtractor) + | ├───s───> 'This is south of Cumberland County of Frederick County .' + | └───n───> 'Pennsylvania lies east of Franklin County .' + └────────n────────> SUB/IDENTIFYING_DEFINITION ('which', RestrictiveRelativeClauseWhoWhichExtractor) + ├────────n────────> 'Adams County is the location of the 11th Mississippi Infantry monument .' + └───s───> CO/LIST ('and', SharedNPPostCoordinationExtractor) + ├───n───> 'The 11th Mississippi Infantry monument was established in 2000 .' + └───n───> 'The 11th Mississippi Infantry monument was categorised as a contributing property within the United States .' ### STEP 2) DO DISCOURSE EXTRACTION ### -# On June 1, 2017, after President Trump announced his withdrawal of the United States from the Paris Agreement, Obama released a statement disagreeing with the choice: - -e1c45c6047ec4ee6b225834f3abb645e 0 Obama released a statement : . - S:TEMPORAL This was on June 1 , 2017 . - L:IDENTIFYING_DEFINITION db0e72f523ea41d8a2d70a5c72eb179b - L:TEMPORAL_BEFORE 7297b7a83692402492ddbf6bcc0f4281 - L:ELABORATION 8ea0b1bfff7846c4bf7d6b933cc2f73f +# Adams County , Pennsylvania which lies east of Franklin County , south of Cumberland County , northwest of Carroll County , Maryland and northeast of Frederick County , is the location of the 11th Mississippi Infantry monument which was established in 2000 and categorised as a contributing property within the United States . -db0e72f523ea41d8a2d70a5c72eb179b 1 A statement was disagreeing with the choice . +9fdfc5fd761b460fb007f4cdb8cfd129 0 Adams County is the location of the 11th Mississippi Infantry monument . + L:IDENTIFYING_DEFINITION ee44b6efc7a74719add2d34308066cc8 + L:IDENTIFYING_DEFINITION d8cdf592153943778403ca7574357d3e + L:ELABORATION 8f80967fbb134bf08700448fb70fe5fb -7297b7a83692402492ddbf6bcc0f4281 1 Trump announced his withdrawal of the United States . - S:SPATIAL This was from the Paris Agreement . +ee44b6efc7a74719add2d34308066cc8 1 The 11th Mississippi Infantry monument was established in 2000 . + L:LIST d8cdf592153943778403ca7574357d3e -8ea0b1bfff7846c4bf7d6b933cc2f73f 1 Trump was President . +d8cdf592153943778403ca7574357d3e 1 The 11th Mississippi Infantry monument was categorised as a contributing property within the United States . + L:LIST ee44b6efc7a74719add2d34308066cc8 +8f80967fbb134bf08700448fb70fe5fb 1 Adams County was Pennsylvania . + L:IDENTIFYING_DEFINITION 5e5d07f0b9ac41d3b48ca1b05bd5e64c -### STEP 3) DO SENTENCE SIMPLIFICATION ### +5e5d07f0b9ac41d3b48ca1b05bd5e64c 2 Pennsylvania lies east of Franklin County . + S:UNKNOWN_SUBORDINATION This is south of Cumberland County of Frederick County . + S:UNKNOWN_SUBORDINATION This is northwest of Carroll County , Maryland and northeast . -DEACTIVATED -# Processing sentence 488/527 # +# Processing sentence 125/554 # -'But even in the absence of American leadership; even as this administration joins a small handful of nations that reject the future; I'm confident that our states, cities, and businesses will step up and do even more to lead the way, and help protect for future generations the one planet we've got.' +'Alan Shepard who was born on Nov 18 , 1923 in New Hampshire was selected by NASA in 1959 .' ### Step 1) CREATE SENTENCE DISCOURSE TREE ### CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/IDENTIFYING_DEFINITION ('that', RestrictiveRelativeClauseWhoWhichExtractor) - ├───n───> SUB/IDENTIFYING_DEFINITION ('', RestrictiveRelativeClauseWithoutRelativePronounExtractor) - | ├───n───> CO/LIST (NULL, PostListNPExtractor) - | | ├───n───> 'But even in the absence of American leadership ; even as this administration joins a small handful of nations ; I 'm confident that our states will step up and do even more to lead the way , and help protect for future generations the one planet .' - | | ├───n───> 'But even in the absence of American leadership ; even as this administration joins a small handful of nations ; I 'm confident that cities will step up and do even more to lead the way , and help protect for future generations the one planet .' - | | └───n───> 'But even in the absence of American leadership ; even as this administration joins a small handful of nations ; I 'm confident that businesses will step up and do even more to lead the way , and help protect for future generations the one planet .' - | └────────s────────> 'We 've got the one planet .' - └─────────────s─────────────> 'Nations reject the future .' +└───n───> SUB/IDENTIFYING_DEFINITION ('who', RestrictiveRelativeClauseWhoWhichExtractor) + ├───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) + | ├───s───> 'This was in 1959 .' + | └───n───> 'Alan Shepard was selected by NASA .' + └────────s────────> 'Alan Shepard was born on Nov 18 , 1923 in New Hampshire .' ### STEP 2) DO DISCOURSE EXTRACTION ### -# But even in the absence of American leadership; even as this administration joins a small handful of nations that reject the future; I'm confident that our states, cities, and businesses will step up and do even more to lead the way, and help protect for future generations the one planet we've got. +# Alan Shepard who was born on Nov 18 , 1923 in New Hampshire was selected by NASA in 1959 . -fb8f7d58025d4b2dbf9d78cded5a24ff 0 But even in the absence of American leadership ; even as this administration joins a small handful of nations ; I 'm confident that our states will step up and do even more to lead the way , and help protect for future generations the one planet . - L:LIST 2c28de83f8d74af6a6e2c4a008b60ab9 - L:LIST 5bc210bbd0364ad28409f7bc905d6e5c - L:IDENTIFYING_DEFINITION fcd47d44544f458ba738fe954a4a7357 - L:IDENTIFYING_DEFINITION 3c1c690083c2419a9e9dd0f0bc843339 +e466598ed91147ae9bfc39beecfba252 0 Alan Shepard was selected by NASA . + S:TEMPORAL This was in 1959 . + L:IDENTIFYING_DEFINITION 4df8c5e1a73747989ecdd6c50aef7085 -2c28de83f8d74af6a6e2c4a008b60ab9 0 But even in the absence of American leadership ; even as this administration joins a small handful of nations ; I 'm confident that cities will step up and do even more to lead the way , and help protect for future generations the one planet . - L:LIST 5bc210bbd0364ad28409f7bc905d6e5c - L:LIST fb8f7d58025d4b2dbf9d78cded5a24ff - L:IDENTIFYING_DEFINITION fcd47d44544f458ba738fe954a4a7357 - L:IDENTIFYING_DEFINITION 3c1c690083c2419a9e9dd0f0bc843339 +4df8c5e1a73747989ecdd6c50aef7085 1 Alan Shepard was born on Nov 18 , 1923 in New Hampshire . -5bc210bbd0364ad28409f7bc905d6e5c 0 But even in the absence of American leadership ; even as this administration joins a small handful of nations ; I 'm confident that businesses will step up and do even more to lead the way , and help protect for future generations the one planet . - L:LIST fb8f7d58025d4b2dbf9d78cded5a24ff - L:LIST 2c28de83f8d74af6a6e2c4a008b60ab9 - L:IDENTIFYING_DEFINITION fcd47d44544f458ba738fe954a4a7357 - L:IDENTIFYING_DEFINITION 3c1c690083c2419a9e9dd0f0bc843339 -fcd47d44544f458ba738fe954a4a7357 1 We 've got the one planet . +# Processing sentence 126/554 # -3c1c690083c2419a9e9dd0f0bc843339 1 Nations reject the future . - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 489/527 # - -'Obama playing golf with the President of Argentina Mauricio Macri, October 2017' +'200 Public Square , which has 45 floors , is located in Cleveland , Ohio 44114 .' ### Step 1) CREATE SENTENCE DISCOURSE TREE ### CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> 'Obama playing golf with the President of Argentina Mauricio Macri , October 2017' +└───n───> SUB/DESCRIBING_DEFINITION ('which', NonRestrictiveRelativeClauseWhoWhichExtractor) + ├───n───> '200 Public Square is located in Cleveland , Ohio 44114 .' + └───s───> '200 Public Square has 45 floors .' ### STEP 2) DO DISCOURSE EXTRACTION ### -# Obama playing golf with the President of Argentina Mauricio Macri, October 2017 +# 200 Public Square , which has 45 floors , is located in Cleveland , Ohio 44114 . -b11840e99c474c3fb3f0d3c0a7009bfb 0 Obama playing golf with the President of Argentina Mauricio Macri , October 2017 +b59eae46d25e4cec98d009e0cef93222 0 200 Public Square is located in Cleveland , Ohio 44114 . + L:DESCRIBING_DEFINITION 0548f75c768147b4b37142c2abc874d4 +0548f75c768147b4b37142c2abc874d4 1 200 Public Square has 45 floors . -### STEP 3) DO SENTENCE SIMPLIFICATION ### -DEACTIVATED +# Processing sentence 127/554 # -# Processing sentence 490/527 # - -'On June 22, 2017, after Senate Republicans revealed the Better Care Reconciliation Act of 2017, their discussion draft of a health care bill to replace the Affordable Care Act, Obama released a Facebook post calling the bill a massive transfer of wealth from middle-class and poor families to the richest people in America.' +'20 Fenchurch Street has 34 floors and has a floor area of 62145.3 square metres .' ### Step 1) CREATE SENTENCE DISCOURSE TREE ### CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/TEMPORAL_BEFORE ('after', SubordinationPreExtractor) - ├───────────────────────s───────────────────────> 'Senate Republicans revealed the Better Care Reconciliation Act of 2017 , their discussion draft of a health care bill to replace the Affordable Care Act .' - └───n───> CO/UNKNOWN_COORDINATION (NULL, SharedNPPostParticipalExtractor) - ├─────────────n─────────────> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - | ├───s───> 'This was on June 22 , 2017 .' - | └───n───> 'Obama released a Facebook post .' - └───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) - ├─────────────s─────────────> 'This was to the richest people in America .' - └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - ├────────s────────> 'This was from middle-class and poor families .' - └───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - ├───s───> 'This was on June 22 , 2017 .' - └───n───> 'Obama was calling the bill a massive transfer of wealth .' +└───n───> CO/LIST ('and', SharedNPPostCoordinationExtractor) + ├───n───> '20 Fenchurch Street has 34 floors .' + └───n───> '20 Fenchurch Street has a floor area of 62145.3 square metres .' ### STEP 2) DO DISCOURSE EXTRACTION ### -# On June 22, 2017, after Senate Republicans revealed the Better Care Reconciliation Act of 2017, their discussion draft of a health care bill to replace the Affordable Care Act, Obama released a Facebook post calling the bill a massive transfer of wealth from middle-class and poor families to the richest people in America. +# 20 Fenchurch Street has 34 floors and has a floor area of 62145.3 square metres . -7c16e86e6b274f1698423c1a3ee5d3a7 0 Obama released a Facebook post . - S:TEMPORAL This was on June 22 , 2017 . - L:TEMPORAL_BEFORE c04c7df38a65454792bcad023d151966 +498a1d0c636a4f8ba967465fbb691524 0 20 Fenchurch Street has 34 floors . + L:LIST 23b7f060ac6343e2a6992619553cf7cd -6d0f8a9a278e43659161c8f7d362ab11 0 Obama was calling the bill a massive transfer of wealth . - S:TEMPORAL This was on June 22 , 2017 . - S:UNKNOWN_SUBORDINATION This was from middle-class and poor families . - S:SPATIAL This was to the richest people in America . - L:TEMPORAL_BEFORE c04c7df38a65454792bcad023d151966 +23b7f060ac6343e2a6992619553cf7cd 0 20 Fenchurch Street has a floor area of 62145.3 square metres . + L:LIST 498a1d0c636a4f8ba967465fbb691524 -c04c7df38a65454792bcad023d151966 1 Senate Republicans revealed the Better Care Reconciliation Act of 2017 , their discussion draft of a health care bill to replace the Affordable Care Act . +# Processing sentence 128/554 # -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 491/527 # - -'On September 19, while delivering the keynote address at Goalkeepers, Obama admitted his frustration with Republicans backing a bill that will raise costs, reduce coverage, and roll back protections for older Americans and people with pre-existing conditions.' +'Associazione Calcio Lumezzane SpA is abbreviated to A.C. Lumezzane , they have 4150 members and play in the Lega Pro league .' ### Step 1) CREATE SENTENCE DISCOURSE TREE ### CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> CO/UNKNOWN_COORDINATION (NULL, SharedNPPostParticipalExtractor) - ├────────n────────> SUB/ATTRIBUTION (NULL, PreAttributionExtractor) - | ├───n───> 'While delivering the keynote address at Goalkeepers .' - | └───s───> 'This was what Obama admitted his frustration with Republicans on September 19 .' - └───n───> SUB/IDENTIFYING_DEFINITION ('that', RestrictiveRelativeClauseWhoWhichExtractor) - ├───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - | ├───s───> 'This was on September 19 .' - | └───n───> 'While delivering the keynote address at Goalkeepers , Obama was backing a bill .' - └───s───> CO/UNKNOWN_COORDINATION (NULL, SharedNPPostCoordinationExtractor) - ├───n───> 'A bill will raise costs .' - ├───n───> 'A bill will reduce coverage .' - └───n───> 'A bill will roll back protections for older Americans and people with pre-existing conditions .' +└───n───> CO/LIST ('and', SharedNPPostCoordinationExtractor) + ├───n───> 'Associazione Calcio Lumezzane SpA is abbreviated to A.C. Lumezzane , they have 4150 members .' + └───n───> 'Associazione Calcio Lumezzane SpA is abbreviated to A.C. Lumezzane , they play in the Lega Pro league .' ### STEP 2) DO DISCOURSE EXTRACTION ### -# On September 19, while delivering the keynote address at Goalkeepers, Obama admitted his frustration with Republicans backing a bill that will raise costs, reduce coverage, and roll back protections for older Americans and people with pre-existing conditions. - -2b5a9dbc9c3641f0919a4a93dbd42989 0 While delivering the keynote address at Goalkeepers . - S:ATTRIBUTION This was what Obama admitted his frustration with Republicans on September 19 . - -dc7d894ca3fb4ccc892cb1d434beef03 0 While delivering the keynote address at Goalkeepers , Obama was backing a bill . - S:TEMPORAL This was on September 19 . - L:IDENTIFYING_DEFINITION 2746b31c9ad0498eae6374805254e0e9 - L:IDENTIFYING_DEFINITION 14b47f14dc05487aac9218ee945020ba - L:IDENTIFYING_DEFINITION d96febbecc2a414aac4d4909ddccf12c - -2746b31c9ad0498eae6374805254e0e9 1 A bill will raise costs . - -14b47f14dc05487aac9218ee945020ba 1 A bill will reduce coverage . +# Associazione Calcio Lumezzane SpA is abbreviated to A.C. Lumezzane , they have 4150 members and play in the Lega Pro league . -d96febbecc2a414aac4d4909ddccf12c 1 A bill will roll back protections for older Americans and people with pre-existing conditions . +ad71941cc9954f6da5ee1215a6214520 0 Associazione Calcio Lumezzane SpA is abbreviated to A.C. Lumezzane , they have 4150 members . + L:LIST bc8477a7fe454a84953e0ff5510fed1a +bc8477a7fe454a84953e0ff5510fed1a 0 Associazione Calcio Lumezzane SpA is abbreviated to A.C. Lumezzane , they play in the Lega Pro league . + L:LIST ad71941cc9954f6da5ee1215a6214520 -### STEP 3) DO SENTENCE SIMPLIFICATION ### -DEACTIVATED +# Processing sentence 129/554 # -# Processing sentence 492/527 # - -'On September 5, 2017, after Attorney General Jeff Sessions announced the termination of the Deferred Action for Childhood Arrivals (DACA) program, Obama released a Facebook post rebuking the decision.' +'The 11th Mississippi Infantry Monument -LRB- established in 2000 -RRB- is located in Gettysburg , Pennsylvania , and falls under the category of Contributing property .' ### Step 1) CREATE SENTENCE DISCOURSE TREE ### CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) - ├──────────────────s──────────────────> 'Jeff Sessions was Attorney General .' - └───n───> SUB/TEMPORAL_BEFORE ('after', SubordinationPreExtractor) - ├────────s────────> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - | ├───s───> 'This was for Childhood Arrivals -LRB- DACA -RRB- program .' - | └───n───> 'Jeff Sessions announced the termination of the Deferred Action .' - └───n───> CO/UNKNOWN_COORDINATION (NULL, SharedNPPostParticipalExtractor) - ├───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - | ├───s───> 'This was on September 5 , 2017 .' - | └───n───> 'Obama released a Facebook post .' - └───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - ├───s───> 'This was on September 5 , 2017 .' - └───n───> 'Obama was rebuking the decision .' +└───n───> CO/LIST ('and', SharedNPPostCoordinationExtractor) + ├───n───> 'The 11th Mississippi Infantry Monument -LRB- established in 2000 -RRB- is located in Gettysburg , Pennsylvania .' + └───n───> 'The 11th Mississippi Infantry Monument -LRB- established in 2000 -RRB- falls under the category of Contributing property .' ### STEP 2) DO DISCOURSE EXTRACTION ### -# On September 5, 2017, after Attorney General Jeff Sessions announced the termination of the Deferred Action for Childhood Arrivals (DACA) program, Obama released a Facebook post rebuking the decision. +# The 11th Mississippi Infantry Monument -LRB- established in 2000 -RRB- is located in Gettysburg , Pennsylvania , and falls under the category of Contributing property . -31b255e5d04c4d4db3ce0e80ab2a76ee 0 Obama released a Facebook post . - S:TEMPORAL This was on September 5 , 2017 . - L:TEMPORAL_BEFORE f85c777d6c5b4dbf80038aeed4033a78 - L:ELABORATION 38474d1b1c9d4c269758953b5f8436f4 +aa20ac2af2604ac3a6a39c1f1e188323 0 The 11th Mississippi Infantry Monument -LRB- established in 2000 -RRB- is located in Gettysburg , Pennsylvania . + L:LIST 1be492643e524ce5942d5dfb45aaea2f -18eb780364894597986563272643efb3 0 Obama was rebuking the decision . - S:TEMPORAL This was on September 5 , 2017 . - L:TEMPORAL_BEFORE f85c777d6c5b4dbf80038aeed4033a78 - L:ELABORATION 38474d1b1c9d4c269758953b5f8436f4 +1be492643e524ce5942d5dfb45aaea2f 0 The 11th Mississippi Infantry Monument -LRB- established in 2000 -RRB- falls under the category of Contributing property . + L:LIST aa20ac2af2604ac3a6a39c1f1e188323 -f85c777d6c5b4dbf80038aeed4033a78 1 Jeff Sessions announced the termination of the Deferred Action . - S:UNKNOWN_SUBORDINATION This was for Childhood Arrivals -LRB- DACA -RRB- program . -38474d1b1c9d4c269758953b5f8436f4 1 Jeff Sessions was Attorney General . +# Processing sentence 130/554 # +'Marriott International , tenant of AC Hotel Bella Sky in Copenhagen , was founded in Washington , D.C.' -### STEP 3) DO SENTENCE SIMPLIFICATION ### +### Step 1) CREATE SENTENCE DISCOURSE TREE ### -DEACTIVATED +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/ELABORATION (NULL, NonRestrictiveAppositionExtractor) + ├───s───> 'Marriott International was tenant of AC Hotel Bella Sky in Copenhagen .' + └───n───> 'Marriott International was founded in Washington , D.C. .' -# Processing sentence 493/527 # +### STEP 2) DO DISCOURSE EXTRACTION ### -'On September 7, 2017, Obama partnered with former presidents Jimmy Carter, George H. W. Bush, Bill Clinton, and George W. Bush to work with One America Appeal to help the victims of Hurricane Harvey and Hurricane Irma in the Gulf Coast and Texas communities.' +# Marriott International , tenant of AC Hotel Bella Sky in Copenhagen , was founded in Washington , D.C. -### Step 1) CREATE SENTENCE DISCOURSE TREE ### +cd52303a59ff4ed6ad253a04151fd0f7 0 Marriott International was founded in Washington , D.C. . + L:ELABORATION 249b705597444ba68e1e1bf5bd3169ea -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) - ├──────────────────s──────────────────> 'Jimmy Carter was former presidents .' - └───n───> SUB/PURPOSE (NULL, PurposePostExtractor) - ├───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - | ├────────s────────> 'This was on September 7 , 2017 .' - | └───n───> CO/LIST (NULL, PostListNPExtractor) - | ├───n───> 'Obama partnered with Jimmy Carter .' - | ├───n───> 'Obama partnered with George H. W. Bush .' - | ├───n───> 'Obama partnered with Bill Clinton .' - | └───n───> 'Obama partnered with George W. Bush .' - └─────────────s─────────────> 'This was to work with One America Appeal to help the victims of Hurricane Harvey and Hurricane Irma in the Gulf Coast and Texas communities .' +249b705597444ba68e1e1bf5bd3169ea 1 Marriott International was tenant of AC Hotel Bella Sky in Copenhagen . -### STEP 2) DO DISCOURSE EXTRACTION ### -# On September 7, 2017, Obama partnered with former presidents Jimmy Carter, George H. W. Bush, Bill Clinton, and George W. Bush to work with One America Appeal to help the victims of Hurricane Harvey and Hurricane Irma in the Gulf Coast and Texas communities. +# Processing sentence 131/554 # -ff35ebec552c43bebbbce0e7de522126 0 Obama partnered with Jimmy Carter . - S:TEMPORAL This was on September 7 , 2017 . - S:PURPOSE This was to work with One America Appeal to help the victims of Hurricane Harvey and Hurricane Irma in the Gulf Coast and Texas communities . - L:LIST 378d921306474d61b96810312048d2c4 - L:LIST 101db19dcf344837b9147a13c3c442a0 - L:LIST 4068bc5af70e4bc9b5f5f8eb9f1fedeb - L:ELABORATION a05175c5f7ff4533bca4856a0207d108 +'Cornell University , located in ithaca NY , is the publisher of the Administrative Science Quarterly .' -378d921306474d61b96810312048d2c4 0 Obama partnered with George H. W. Bush . - S:TEMPORAL This was on September 7 , 2017 . - S:PURPOSE This was to work with One America Appeal to help the victims of Hurricane Harvey and Hurricane Irma in the Gulf Coast and Texas communities . - L:LIST 101db19dcf344837b9147a13c3c442a0 - L:LIST 4068bc5af70e4bc9b5f5f8eb9f1fedeb - L:LIST ff35ebec552c43bebbbce0e7de522126 - L:ELABORATION a05175c5f7ff4533bca4856a0207d108 +### Step 1) CREATE SENTENCE DISCOURSE TREE ### -101db19dcf344837b9147a13c3c442a0 0 Obama partnered with Bill Clinton . - S:TEMPORAL This was on September 7 , 2017 . - S:PURPOSE This was to work with One America Appeal to help the victims of Hurricane Harvey and Hurricane Irma in the Gulf Coast and Texas communities . - L:LIST 4068bc5af70e4bc9b5f5f8eb9f1fedeb - L:LIST ff35ebec552c43bebbbce0e7de522126 - L:LIST 378d921306474d61b96810312048d2c4 - L:ELABORATION a05175c5f7ff4533bca4856a0207d108 +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/UNKNOWN_SUBORDINATION ('', ParticipialMiddleExtractor) + ├───n───> 'Cornell University is the publisher of the Administrative Science Quarterly .' + └───s───> 'Cornell University is located in ithaca NY .' -4068bc5af70e4bc9b5f5f8eb9f1fedeb 0 Obama partnered with George W. Bush . - S:TEMPORAL This was on September 7 , 2017 . - S:PURPOSE This was to work with One America Appeal to help the victims of Hurricane Harvey and Hurricane Irma in the Gulf Coast and Texas communities . - L:LIST ff35ebec552c43bebbbce0e7de522126 - L:LIST 378d921306474d61b96810312048d2c4 - L:LIST 101db19dcf344837b9147a13c3c442a0 - L:ELABORATION a05175c5f7ff4533bca4856a0207d108 +### STEP 2) DO DISCOURSE EXTRACTION ### -a05175c5f7ff4533bca4856a0207d108 1 Jimmy Carter was former presidents . +# Cornell University , located in ithaca NY , is the publisher of the Administrative Science Quarterly . +5f684e30b19542a7bdd790b18fc2adda 0 Cornell University is the publisher of the Administrative Science Quarterly . + L:UNKNOWN_SUBORDINATION d6bed76af567442f84eeeab5fb5cfe0a -### STEP 3) DO SENTENCE SIMPLIFICATION ### +d6bed76af567442f84eeeab5fb5cfe0a 1 Cornell University is located in ithaca NY . -DEACTIVATED -# Processing sentence 494/527 # +# Processing sentence 132/554 # -'On October 31, 2017, Obama hosted the inaugural summit of the Obama Foundation in Chicago.' +'The manager of A.F.C. Blackpool is Stuart Parker -LRB- footballer -RRB- who plays for Blackpool F.C.' ### Step 1) CREATE SENTENCE DISCOURSE TREE ### CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) - ├────────s────────> 'This was in Chicago .' - └───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - ├───s───> 'This was on October 31 , 2017 .' - └───n───> 'Obama hosted the inaugural summit of the Obama Foundation .' +└───n───> SUB/IDENTIFYING_DEFINITION ('who', RestrictiveRelativeClauseWhoWhichExtractor) + ├───n───> 'The manager of A.F.C. Blackpool is Stuart Parker -LRB- footballer -RRB- .' + └───s───> 'Stuart Parker -LRB- footballer -RRB- plays for Blackpool F.C. .' ### STEP 2) DO DISCOURSE EXTRACTION ### -# On October 31, 2017, Obama hosted the inaugural summit of the Obama Foundation in Chicago. +# The manager of A.F.C. Blackpool is Stuart Parker -LRB- footballer -RRB- who plays for Blackpool F.C. -de56e2bee1374c91b45c6df6acbc7270 0 Obama hosted the inaugural summit of the Obama Foundation . - S:TEMPORAL This was on October 31 , 2017 . - S:SPATIAL This was in Chicago . +654f03cf16f74a4093d493a89a1f5d27 0 The manager of A.F.C. Blackpool is Stuart Parker -LRB- footballer -RRB- . + L:IDENTIFYING_DEFINITION 77b49a631a9341f6bea3f372792293d3 +77b49a631a9341f6bea3f372792293d3 1 Stuart Parker -LRB- footballer -RRB- plays for Blackpool F.C. . -### STEP 3) DO SENTENCE SIMPLIFICATION ### -DEACTIVATED +# Processing sentence 133/554 # -# Processing sentence 495/527 # - -'Obama intends for the foundation to be the central focus of his post-presidency and part of his ambitions for his subsequent activities following his presidency to be more consequential than his time in office.' +'Adisham Hall is in Sri Lanka where the currency is the Sri Lankan rupee .' ### Step 1) CREATE SENTENCE DISCOURSE TREE ### CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> 'Obama intends for the foundation to be the central focus of his post-presidency and part of his ambitions for his subsequent activities following his presidency to be more consequential than his time in office .' +└───n───> 'Adisham Hall is in Sri Lanka where the currency is the Sri Lankan rupee .' ### STEP 2) DO DISCOURSE EXTRACTION ### -# Obama intends for the foundation to be the central focus of his post-presidency and part of his ambitions for his subsequent activities following his presidency to be more consequential than his time in office. - -9dcc08b5e31b4e2ebb4e812fd465f5af 0 Obama intends for the foundation to be the central focus of his post-presidency and part of his ambitions for his subsequent activities following his presidency to be more consequential than his time in office . +# Adisham Hall is in Sri Lanka where the currency is the Sri Lankan rupee . +8145899838ed4bbcb9dfa005e3d9bb6e 0 Adisham Hall is in Sri Lanka where the currency is the Sri Lankan rupee . -### STEP 3) DO SENTENCE SIMPLIFICATION ### -DEACTIVATED +# Processing sentence 134/554 # -# Processing sentence 496/527 # - -'Obama has also been working on a Presidential memoir, in a reported $65 million deal with Penguin Random House.' +'William Anders worked for NASA and became a crew member of Apollo 8 with Buzz Aldrin as his back up pilot .' ### Step 1) CREATE SENTENCE DISCOURSE TREE ### CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/TEMPORAL (NULL, PrepositionalMiddleFinalExtractor) - ├───s───> 'This was in a reported $ 65 million deal with Penguin Random House .' - └───n───> 'Obama has also been working on a Presidential memoir .' +└───n───> CO/LIST ('and', SharedNPPostCoordinationExtractor) + ├─────────────n─────────────> 'William Anders worked for NASA .' + └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + ├────────s────────> 'This was with Buzz Aldrin as his back .' + └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) + ├───s───> 'This was up pilot .' + └───n───> 'William Anders became a crew member of Apollo 8 .' ### STEP 2) DO DISCOURSE EXTRACTION ### -# Obama has also been working on a Presidential memoir, in a reported $65 million deal with Penguin Random House. - -6238326876f24d51b1a0e96ea78af151 0 Obama has also been working on a Presidential memoir . - S:TEMPORAL This was in a reported $ 65 million deal with Penguin Random House . +# William Anders worked for NASA and became a crew member of Apollo 8 with Buzz Aldrin as his back up pilot . +521c68f9287e44fb8d2f7509baef5e6f 0 William Anders worked for NASA . + L:LIST df2775b015fc42e18d8a2f7d9014b104 -### STEP 3) DO SENTENCE SIMPLIFICATION ### +df2775b015fc42e18d8a2f7d9014b104 0 William Anders became a crew member of Apollo 8 . + S:UNKNOWN_SUBORDINATION This was up pilot . + S:UNKNOWN_SUBORDINATION This was with Buzz Aldrin as his back . + L:LIST 521c68f9287e44fb8d2f7509baef5e6f -DEACTIVATED -# Processing sentence 497/527 # +# Processing sentence 135/554 # -'Obama went on an international trip from November 28 to December 2, 2017, and visited China, India and France.' +'Jorge Humberto Rodriguez , plays for Alianza F.C. and has been manager of A D Isidro Metapán .' ### Step 1) CREATE SENTENCE DISCOURSE TREE ### CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> CO/LIST ('and', SharedNPPostCoordinationExtractor) - ├───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) - | ├────────s────────> 'This was to December 2 , 2017 .' - | └───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) - | ├───s───> 'This was from November 28 .' - | └───n───> 'Obama went on an international trip .' - └─────────────n─────────────> 'Obama visited China , India and France .' +└───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) + ├────────s────────> 'Isidro Metapán was A D .' + └───n───> CO/UNKNOWN_COORDINATION (NULL, SharedNPPostCoordinationExtractor) + ├───n───> 'Jorge Humberto Rodriguez .' + ├───n───> 'Jorge Humberto plays for Alianza F.C. .' + └───n───> 'Jorge Humberto has been manager of Isidro Metapán .' ### STEP 2) DO DISCOURSE EXTRACTION ### -# Obama went on an international trip from November 28 to December 2, 2017, and visited China, India and France. +# Jorge Humberto Rodriguez , plays for Alianza F.C. and has been manager of A D Isidro Metapán . -ad8d49a567df4465964a7a30850ee9cb 0 Obama went on an international trip . - S:TEMPORAL This was from November 28 . - S:TEMPORAL This was to December 2 , 2017 . - L:LIST 6bf47bd43000491b8a71d5410fc995b5 +b04d291629454385a15d53672aa0ab72 0 Jorge Humberto Rodriguez . + L:ELABORATION 5d093c7bcc07403abc95b3504d60b591 -6bf47bd43000491b8a71d5410fc995b5 0 Obama visited China , India and France . - L:LIST ad8d49a567df4465964a7a30850ee9cb +708d5190f48743859251dab8d03df003 0 Jorge Humberto plays for Alianza F.C. . + L:ELABORATION 5d093c7bcc07403abc95b3504d60b591 +9e3c9a3e810d4f7dabdf764fbb34c8e7 0 Jorge Humberto has been manager of Isidro Metapán . + L:ELABORATION 5d093c7bcc07403abc95b3504d60b591 -### STEP 3) DO SENTENCE SIMPLIFICATION ### +5d093c7bcc07403abc95b3504d60b591 1 Isidro Metapán was A D . -DEACTIVATED -# Processing sentence 498/527 # +# Processing sentence 136/554 # -'In China, he delivered remarks at the Global Alliance of SMEs Summit in Shanghai and met with Chinese President Xi Jinping in Beijing.' +'Asian Americans are one of the ethnic groups in the United States of which A Fortress of Grey Ice is also , the English language is spoken in both the United States and in Great Britain .' ### Step 1) CREATE SENTENCE DISCOURSE TREE ### CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) - ├───────────────────────s───────────────────────> 'Xi Jinping was Chinese President .' - └───n───> CO/LIST ('and', SharedNPPostCoordinationExtractor) - ├───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - | ├─────────────s─────────────> 'This was at the Global Alliance of SMEs Summit .' - | └───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) - | ├────────s────────> 'This was in Shanghai .' - | └───n───> SUB/SPATIAL (NULL, PrepositionalInitialExtractor) - | ├───s───> 'This was in China .' - | └───n───> 'He delivered remarks .' - └────────n────────> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) - ├────────s────────> 'This was in Beijing .' - └───n───> SUB/SPATIAL (NULL, PrepositionalInitialExtractor) - ├───s───> 'This was in China .' - └───n───> 'He met with Xi Jinping .' +└───n───> SUB/ATTRIBUTION (NULL, PreAttributionExtractor) + ├───n───> 'Asian Americans are one of the ethnic groups in the United States of which A Fortress of Grey Ice is also .' + └───s───> 'This was what the English language is spoken in both the United States and in Great Britain .' ### STEP 2) DO DISCOURSE EXTRACTION ### -# In China, he delivered remarks at the Global Alliance of SMEs Summit in Shanghai and met with Chinese President Xi Jinping in Beijing. - -1e7c5bf85b054668849e23fef588c7c8 0 He delivered remarks . - S:SPATIAL This was in China . - S:SPATIAL This was in Shanghai . - S:UNKNOWN_SUBORDINATION This was at the Global Alliance of SMEs Summit . - L:LIST 185a4733cbda4113bfc25b8a71ae6906 - L:ELABORATION f3fcd4ec56cf49b189347673ae904020 - -185a4733cbda4113bfc25b8a71ae6906 0 He met with Xi Jinping . - S:SPATIAL This was in China . - S:SPATIAL This was in Beijing . - L:LIST 1e7c5bf85b054668849e23fef588c7c8 - L:ELABORATION f3fcd4ec56cf49b189347673ae904020 +# Asian Americans are one of the ethnic groups in the United States of which A Fortress of Grey Ice is also , the English language is spoken in both the United States and in Great Britain . -f3fcd4ec56cf49b189347673ae904020 1 Xi Jinping was Chinese President . +bac07ce8428e43209aeb1bdfff76f3d9 0 Asian Americans are one of the ethnic groups in the United States of which A Fortress of Grey Ice is also . + S:ATTRIBUTION This was what the English language is spoken in both the United States and in Great Britain . -### STEP 3) DO SENTENCE SIMPLIFICATION ### +# Processing sentence 137/554 # -DEACTIVATED - -# Processing sentence 499/527 # - -'He then went to India, where he spoke at the Hindustan Times Leadership Summit before meeting with Indian Prime Minister Narendra Modi over lunch.' +'AZAL PFK play their home matches at the AZAL Arena in Azerbaijan and they compete in the Azerbaijan Premier League where Qarabag FK are champions .' ### Step 1) CREATE SENTENCE DISCOURSE TREE ### CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/SPATIAL (NULL, NonRestrictiveRelativeClauseWhereExtractor) - ├──────────────────n──────────────────> 'He then went to India .' - └───s───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) - ├─────────────s─────────────> 'Narendra Modi was Indian Prime Minister .' - └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - ├────────s────────> 'This was before meeting .' - └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - ├───s───> 'This was with Narendra Modi over lunch .' - └───n───> 'He spoke at the Hindustan Times Leadership Summit .' +└───n───> CO/LIST ('and', CoordinationExtractor) + ├───n───> SUB/UNKNOWN_SUBORDINATION ('', SubordinationPostExtractor) + | ├───n───> 'AZAL PFK play .' + | └───s───> 'Their home matches at the AZAL Arena in Azerbaijan .' + └───n───> SUB/ELABORATION ('where', SubordinationPostExtractor) + ├───n───> 'They compete in the Azerbaijan Premier League .' + └───s───> 'Qarabag FK are champions .' ### STEP 2) DO DISCOURSE EXTRACTION ### -# He then went to India, where he spoke at the Hindustan Times Leadership Summit before meeting with Indian Prime Minister Narendra Modi over lunch. - -95783da0f281417fbcd568d7d2bd9c0e 0 He then went to India . - L:SPATIAL 08e82448b12e4db5850fe0b820d8bb19 +# AZAL PFK play their home matches at the AZAL Arena in Azerbaijan and they compete in the Azerbaijan Premier League where Qarabag FK are champions . -08e82448b12e4db5850fe0b820d8bb19 1 He spoke at the Hindustan Times Leadership Summit . - S:UNKNOWN_SUBORDINATION This was with Narendra Modi over lunch . - S:UNKNOWN_SUBORDINATION This was before meeting . - L:ELABORATION d9a5b7c5161a438c8beafa25d6bda483 +ebee2a64feb94c4a8c8e707757576f2e 0 AZAL PFK play . + L:UNKNOWN_SUBORDINATION 7d3d81112dad47e7bb2b01609624d3f4 + L:LIST 7bc5e14ce5d245edb963ccab68a6cf19 -d9a5b7c5161a438c8beafa25d6bda483 2 Narendra Modi was Indian Prime Minister . +7d3d81112dad47e7bb2b01609624d3f4 1 Their home matches at the AZAL Arena in Azerbaijan . +7bc5e14ce5d245edb963ccab68a6cf19 0 They compete in the Azerbaijan Premier League . + L:ELABORATION c48a243392594e93b7fbe2653e9e7e60 + L:LIST ebee2a64feb94c4a8c8e707757576f2e -### STEP 3) DO SENTENCE SIMPLIFICATION ### +c48a243392594e93b7fbe2653e9e7e60 1 Qarabag FK are champions . -DEACTIVATED -# Processing sentence 500/527 # +# Processing sentence 138/554 # -'In addition, he held a town hall for young leaders, organized by the Obama Foundation.' +'Asilomar Conference Grounds , Asilomar Blvd. , Pacific Grove , California has a reference number in the National Register of Historic Places of : 87000823 .' ### Step 1) CREATE SENTENCE DISCOURSE TREE ### CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/UNKNOWN_SUBORDINATION ('', ParticipialMiddleExtractor) - ├───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - | ├────────s────────> 'This was for young leaders .' - | └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalInitialExtractor) - | ├───s───> 'This was in addition .' - | └───n───> 'He held a town hall .' - └─────────────s─────────────> 'Young leaders were organized by the Obama Foundation .' +└───n───> SUB/ELABORATION (NULL, NonRestrictiveAppositionExtractor) + ├────────s────────> 'Asilomar Conference Grounds are Asilomar Blvd. .' + └───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) + ├───s───> 'Pacific Grove is Asilomar Conference Grounds .' + └───n───> 'Pacific Grove , California has a reference number in the National Register of Historic Places of : 87000823 .' ### STEP 2) DO DISCOURSE EXTRACTION ### -# In addition, he held a town hall for young leaders, organized by the Obama Foundation. - -c6c0f182b06e46fbb072a88d08b59fc6 0 He held a town hall . - S:UNKNOWN_SUBORDINATION This was in addition . - S:UNKNOWN_SUBORDINATION This was for young leaders . - L:UNKNOWN_SUBORDINATION 7e9a502ed71548d5a8e8ce2888b0ea7b +# Asilomar Conference Grounds , Asilomar Blvd. , Pacific Grove , California has a reference number in the National Register of Historic Places of : 87000823 . -7e9a502ed71548d5a8e8ce2888b0ea7b 1 Young leaders were organized by the Obama Foundation . +27030a4cca764480a2bd2d779319075a 0 Pacific Grove , California has a reference number in the National Register of Historic Places of : 87000823 . + L:ELABORATION 8d9a94a3fd7b427286099a8cc9a19f9e + L:ELABORATION dfe338387dbe427b888b0257cc15c9e9 +8d9a94a3fd7b427286099a8cc9a19f9e 1 Pacific Grove is Asilomar Conference Grounds . -### STEP 3) DO SENTENCE SIMPLIFICATION ### +dfe338387dbe427b888b0257cc15c9e9 1 Asilomar Conference Grounds are Asilomar Blvd. . -DEACTIVATED -# Processing sentence 501/527 # +# Processing sentence 139/554 # -'He also met with the Dalai Lama while in New Delhi.' +'The manager of A.F.C. Blackpool is Stuart Parker -LRB- footballer -RRB- who is a member of the Irlam Town F.C.' ### Step 1) CREATE SENTENCE DISCOURSE TREE ### CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) - ├───s───> 'This was in New Delhi .' - └───n───> 'He also met with the Dalai Lama while .' +└───n───> SUB/IDENTIFYING_DEFINITION ('who', RestrictiveRelativeClauseWhoWhichExtractor) + ├───n───> 'The manager of A.F.C. Blackpool is Stuart Parker -LRB- footballer -RRB- .' + └───s───> 'Stuart Parker -LRB- footballer -RRB- is a member of the Irlam Town F.C. .' ### STEP 2) DO DISCOURSE EXTRACTION ### -# He also met with the Dalai Lama while in New Delhi. +# The manager of A.F.C. Blackpool is Stuart Parker -LRB- footballer -RRB- who is a member of the Irlam Town F.C. -d1eb02a8a092489bb5ec61d634b3bcfe 0 He also met with the Dalai Lama while . - S:SPATIAL This was in New Delhi . +1850a6915a54444a87e798638a1ef85e 0 The manager of A.F.C. Blackpool is Stuart Parker -LRB- footballer -RRB- . + L:IDENTIFYING_DEFINITION 52f5a92b5654489b8f18d21d457c60d0 +52f5a92b5654489b8f18d21d457c60d0 1 Stuart Parker -LRB- footballer -RRB- is a member of the Irlam Town F.C. . -### STEP 3) DO SENTENCE SIMPLIFICATION ### -DEACTIVATED +# Processing sentence 140/554 # -# Processing sentence 502/527 # - -'He ended his five-day trip in France where he met with French President Emmanuel Macron, former President Francois Hollande and Paris Mayor Anne Hidalgo and then spoke at an invitation-only event, touching on climate issues.' +'The 320-page book , `` Alcatraz Versus the Evil Librarians '' is currently in print .' ### Step 1) CREATE SENTENCE DISCOURSE TREE ### CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) - ├────────────────────────────s────────────────────────────> 'Emmanuel Macron was French President .' - └───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) - ├───────────────────────s───────────────────────> 'Francois Hollande was former President .' - └───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) - ├──────────────────s──────────────────> 'Anne Hidalgo was Paris Mayor .' - └───n───> SUB/ELABORATION ('where', SubordinationPostExtractor) - ├────────n────────> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) - | ├───s───> 'This was in France .' - | └───n───> 'He ended his five-day trip .' - └───s───> CO/LIST ('and', SharedNPPostCoordinationExtractor) - ├───n───> CO/LIST (NULL, PostListNPExtractor) - | ├───n───> 'He met with Emmanuel Macron .' - | ├───n───> 'He met with Francois Hollande .' - | └───n───> 'He met with Anne Hidalgo .' - └───n───> CO/UNKNOWN_COORDINATION (NULL, SharedNPPostParticipalExtractor) - ├───n───> 'He then spoke at an invitation-only event .' - └───n───> 'He then was touching on climate issues .' +└───n───> 'The 320-page book , `` Alcatraz Versus the Evil Librarians '' is currently in print .' ### STEP 2) DO DISCOURSE EXTRACTION ### -# He ended his five-day trip in France where he met with French President Emmanuel Macron, former President Francois Hollande and Paris Mayor Anne Hidalgo and then spoke at an invitation-only event, touching on climate issues. - -82f826c723cc4165a7a266abad99c5da 0 He ended his five-day trip . - S:SPATIAL This was in France . - L:ELABORATION 52066eba0dde46269157bac4bb4082a3 - L:ELABORATION ebc46b41b305405d8901d29b7e8f2141 - L:ELABORATION 9e340140bcfd4d7180d98ae4841eedb7 - L:ELABORATION 37e19727963345959ad6f6895573a7c6 - L:ELABORATION a79fe84079fe41d4be85576b2c67efdf - L:ELABORATION 5f3b7dbf8e124fe9be4c18f43769b25a - L:ELABORATION ff8783a166944c3694e033ab3cae4066 - L:ELABORATION 7e37152d3b4f48b2b210e4ed4b52e48e +# The 320-page book , `` Alcatraz Versus the Evil Librarians '' is currently in print . -52066eba0dde46269157bac4bb4082a3 1 He met with Emmanuel Macron . - L:LIST ebc46b41b305405d8901d29b7e8f2141 - L:LIST 9e340140bcfd4d7180d98ae4841eedb7 - L:LIST 37e19727963345959ad6f6895573a7c6 - L:LIST a79fe84079fe41d4be85576b2c67efdf +4a45bb4ea12d4c889fb27f0a39832869 0 The 320-page book , `` Alcatraz Versus the Evil Librarians '' is currently in print . -ebc46b41b305405d8901d29b7e8f2141 1 He met with Francois Hollande . - L:LIST 9e340140bcfd4d7180d98ae4841eedb7 - L:LIST 52066eba0dde46269157bac4bb4082a3 - L:LIST 37e19727963345959ad6f6895573a7c6 - L:LIST a79fe84079fe41d4be85576b2c67efdf -9e340140bcfd4d7180d98ae4841eedb7 1 He met with Anne Hidalgo . - L:LIST 52066eba0dde46269157bac4bb4082a3 - L:LIST ebc46b41b305405d8901d29b7e8f2141 - L:LIST 37e19727963345959ad6f6895573a7c6 - L:LIST a79fe84079fe41d4be85576b2c67efdf +# Processing sentence 141/554 # -37e19727963345959ad6f6895573a7c6 1 He then spoke at an invitation-only event . - L:LIST 52066eba0dde46269157bac4bb4082a3 - L:LIST ebc46b41b305405d8901d29b7e8f2141 - L:LIST 9e340140bcfd4d7180d98ae4841eedb7 +'Elliot See -LRB- born in Dallas on 1927-07-23 -RRB- went to the University of Texas at Austin who competed in the Big 12 Conference .' -a79fe84079fe41d4be85576b2c67efdf 1 He then was touching on climate issues . - L:LIST 52066eba0dde46269157bac4bb4082a3 - L:LIST ebc46b41b305405d8901d29b7e8f2141 - L:LIST 9e340140bcfd4d7180d98ae4841eedb7 +### Step 1) CREATE SENTENCE DISCOURSE TREE ### -5f3b7dbf8e124fe9be4c18f43769b25a 1 Anne Hidalgo was Paris Mayor . +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/IDENTIFYING_DEFINITION ('who', RestrictiveRelativeClauseWhoWhichExtractor) + ├───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) + | ├───s───> 'This was at Austin .' + | └───n───> 'Elliot See -LRB- born in Dallas on 1927-07-23 -RRB- went to the University of Texas .' + └────────s────────> 'Austin competed in the Big 12 Conference .' -ff8783a166944c3694e033ab3cae4066 1 Francois Hollande was former President . +### STEP 2) DO DISCOURSE EXTRACTION ### -7e37152d3b4f48b2b210e4ed4b52e48e 1 Emmanuel Macron was French President . +# Elliot See -LRB- born in Dallas on 1927-07-23 -RRB- went to the University of Texas at Austin who competed in the Big 12 Conference . +079fb3ceaafe46e49b00bafb815dc23b 0 Elliot See -LRB- born in Dallas on 1927-07-23 -RRB- went to the University of Texas . + S:SPATIAL This was at Austin . + L:IDENTIFYING_DEFINITION 795656265c7d47c5a5039acaebbf4032 -### STEP 3) DO SENTENCE SIMPLIFICATION ### +795656265c7d47c5a5039acaebbf4032 1 Austin competed in the Big 12 Conference . -DEACTIVATED -# Processing sentence 503/527 # +# Processing sentence 142/554 # -'Job growth during the presidency of Obama compared to predecessors, as measured as cumulative percentage change from month after inauguration to end of his term' +'The Accademia di Architettura di Mendrisio in the city of Mendrisio was established in 1996 and has 600 students along with an academic staff of 100 .' ### Step 1) CREATE SENTENCE DISCOURSE TREE ### CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - ├───s───> 'This was during the presidency of Obama .' - └───n───> 'Job growth compared to predecessors , as measured as cumulative percentage change from month after inauguration to end of his term .' +└───n───> CO/LIST ('and', SharedNPPostCoordinationExtractor) + ├───n───> 'The Accademia di Architettura di Mendrisio in the city of Mendrisio was established in 1996 .' + └───n───> 'The Accademia di Architettura di Mendrisio in the city of Mendrisio has 600 students along with an academic staff of 100 .' ### STEP 2) DO DISCOURSE EXTRACTION ### -# Job growth during the presidency of Obama compared to predecessors, as measured as cumulative percentage change from month after inauguration to end of his term +# The Accademia di Architettura di Mendrisio in the city of Mendrisio was established in 1996 and has 600 students along with an academic staff of 100 . -849c8bb3d3cf41b6b52c02183feb9e39 0 Job growth compared to predecessors , as measured as cumulative percentage change from month after inauguration to end of his term . - S:UNKNOWN_SUBORDINATION This was during the presidency of Obama . +9910eefcba534d4abee0d23a9927c893 0 The Accademia di Architettura di Mendrisio in the city of Mendrisio was established in 1996 . + L:LIST 0f5e6077392041ee811fb0caaeda5100 +0f5e6077392041ee811fb0caaeda5100 0 The Accademia di Architettura di Mendrisio in the city of Mendrisio has 600 students along with an academic staff of 100 . + L:LIST 9910eefcba534d4abee0d23a9927c893 -### STEP 3) DO SENTENCE SIMPLIFICATION ### -DEACTIVATED +# Processing sentence 143/554 # -# Processing sentence 504/527 # - -'Obama's most significant legacy is generally considered to be the Patient Protection and Affordable Care Act, provisions of which went into effect from 2010 to 2020.' +'Anandiben Patel was the leader of Gujura , which is where Amdavad ni Gufa is located in Ahmedabad , India .' ### Step 1) CREATE SENTENCE DISCOURSE TREE ### CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/ELABORATION (NULL, NonRestrictiveAppositionExtractor) - ├────────s────────> 'The Patient Protection and Affordable Care Act were provisions of which went into effect from 2010 to 2020 .' - └───n───> CO/LIST (NULL, PostListNPExtractor) - ├───n───> 'Obama 's most significant legacy is generally considered to be the Patient Protection .' - └───n───> 'Obama 's most significant legacy is generally considered to be Affordable Care Act .' +└───n───> SUB/DESCRIBING_DEFINITION ('which', NonRestrictiveRelativeClauseWhoWhichExtractor) + ├─────────────n─────────────> 'Anandiben Patel was the leader of Gujura .' + └───s───> SUB/ELABORATION ('where', SubordinationPostExtractor) + ├────────n────────> 'Gujura is .' + └───s───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) + ├───s───> 'Gufa was Amdavad ni .' + └───n───> 'Gufa is located in Ahmedabad , India .' ### STEP 2) DO DISCOURSE EXTRACTION ### -# Obama's most significant legacy is generally considered to be the Patient Protection and Affordable Care Act, provisions of which went into effect from 2010 to 2020. +# Anandiben Patel was the leader of Gujura , which is where Amdavad ni Gufa is located in Ahmedabad , India . -992563f9e024456b8325ccd22f93332c 0 Obama 's most significant legacy is generally considered to be the Patient Protection . - L:LIST e3ad3303a02843119249c41e7b5acf9a - L:ELABORATION 19a631b655f44f739d7646dd270df422 +50b8047a6f5141b693ad88d0caf52f04 0 Anandiben Patel was the leader of Gujura . + L:DESCRIBING_DEFINITION e22ba9ae49a04d93aa75f15102995e6a -e3ad3303a02843119249c41e7b5acf9a 0 Obama 's most significant legacy is generally considered to be Affordable Care Act . - L:LIST 992563f9e024456b8325ccd22f93332c - L:ELABORATION 19a631b655f44f739d7646dd270df422 +e22ba9ae49a04d93aa75f15102995e6a 1 Gujura is . + L:ELABORATION 5281be3036944e7ca0145cb74a8d58f8 -19a631b655f44f739d7646dd270df422 1 The Patient Protection and Affordable Care Act were provisions of which went into effect from 2010 to 2020 . +5281be3036944e7ca0145cb74a8d58f8 2 Gufa is located in Ahmedabad , India . + L:ELABORATION 1a61e07332dc4bb084390391067a8464 +1a61e07332dc4bb084390391067a8464 3 Gufa was Amdavad ni . -### STEP 3) DO SENTENCE SIMPLIFICATION ### -DEACTIVATED +# Processing sentence 144/554 # -# Processing sentence 505/527 # - -'Together with the Health Care and Education Reconciliation Act amendment, it represents the U.S. healthcare system's most significant regulatory overhaul and expansion of coverage since the passage of Medicare and Medicaid in 1965.' +'The AIDS -LRB- journal -RRB- is published by Lippincott Williams & Wilkins in the United Kingdom , the two leaders of this country are David Cameron and Elizabeth II .' ### Step 1) CREATE SENTENCE DISCOURSE TREE ### CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) - ├──────────────────s──────────────────> 'This is in 1965 .' - └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - ├─────────────s─────────────> 'This is since the passage of Medicare and Medicaid .' - └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalInitialExtractor) - ├────────s────────> 'This is together with the Health Care and Education Reconciliation Act amendment .' - └───n───> CO/LIST (NULL, PostListNPExtractor) - ├───n───> 'It represents the U.S. healthcare system 's most significant regulatory overhaul .' - └───n───> 'It represents expansion of coverage .' +└───n───> CO/LIST (NULL, PostListNPExtractor) + ├───n───> 'The AIDS -LRB- journal -RRB- is published by Lippincott Williams & Wilkins in the United Kingdom , the two leaders of this country are David Cameron .' + └───n───> 'The AIDS -LRB- journal -RRB- is published by Lippincott Williams & Wilkins in the United Kingdom , the two leaders of this country are Elizabeth II .' ### STEP 2) DO DISCOURSE EXTRACTION ### -# Together with the Health Care and Education Reconciliation Act amendment, it represents the U.S. healthcare system's most significant regulatory overhaul and expansion of coverage since the passage of Medicare and Medicaid in 1965. - -99bc02e0aca34ca18d87d8e31d804ee4 0 It represents the U.S. healthcare system 's most significant regulatory overhaul . - S:UNKNOWN_SUBORDINATION This is together with the Health Care and Education Reconciliation Act amendment . - S:UNKNOWN_SUBORDINATION This is since the passage of Medicare and Medicaid . - S:TEMPORAL This is in 1965 . - L:LIST 4586796b6abb4a1c9fee08124745e2c5 - -4586796b6abb4a1c9fee08124745e2c5 0 It represents expansion of coverage . - S:UNKNOWN_SUBORDINATION This is together with the Health Care and Education Reconciliation Act amendment . - S:UNKNOWN_SUBORDINATION This is since the passage of Medicare and Medicaid . - S:TEMPORAL This is in 1965 . - L:LIST 99bc02e0aca34ca18d87d8e31d804ee4 +# The AIDS -LRB- journal -RRB- is published by Lippincott Williams & Wilkins in the United Kingdom , the two leaders of this country are David Cameron and Elizabeth II . +cff9a02a29dd4c458ff1c28dc8e62e0c 0 The AIDS -LRB- journal -RRB- is published by Lippincott Williams & Wilkins in the United Kingdom , the two leaders of this country are David Cameron . + L:LIST 26b3f488879b47b9baa7e18deb112b17 -### STEP 3) DO SENTENCE SIMPLIFICATION ### +26b3f488879b47b9baa7e18deb112b17 0 The AIDS -LRB- journal -RRB- is published by Lippincott Williams & Wilkins in the United Kingdom , the two leaders of this country are Elizabeth II . + L:LIST cff9a02a29dd4c458ff1c28dc8e62e0c -DEACTIVATED -# Processing sentence 506/527 # +# Processing sentence 145/554 # -'Many commentators credit Obama with averting a threatened depression and pulling the economy back from the Great Recession.' +'Agremiacao Sportiva Arapiraquense , who are managed by Vica , has 17,000 members .' ### Step 1) CREATE SENTENCE DISCOURSE TREE ### CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) - ├───s───> 'Obama was Many commentators credit .' - └───n───> 'Obama with averting a threatened depression and pulling the economy back from the Great Recession .' +└───n───> SUB/DESCRIBING_DEFINITION ('who', NonRestrictiveRelativeClauseWhoWhichExtractor) + ├───n───> 'Agremiacao Sportiva Arapiraquense has 17,000 members .' + └───s───> 'Agremiacao Sportiva Arapiraquense are managed by Vica .' ### STEP 2) DO DISCOURSE EXTRACTION ### -# Many commentators credit Obama with averting a threatened depression and pulling the economy back from the Great Recession. - -b2f1803bca4f4c1297fcfaa9a39101d0 0 Obama with averting a threatened depression and pulling the economy back from the Great Recession . - L:ELABORATION 169753160d8a4a4f8b04cae96a713317 +# Agremiacao Sportiva Arapiraquense , who are managed by Vica , has 17,000 members . -169753160d8a4a4f8b04cae96a713317 1 Obama was Many commentators credit . +7c937737216949d0b8d58f114fa58d49 0 Agremiacao Sportiva Arapiraquense has 17,000 members . + L:DESCRIBING_DEFINITION 5261b706c12e4f73bbb07e4e2a7208d8 +5261b706c12e4f73bbb07e4e2a7208d8 1 Agremiacao Sportiva Arapiraquense are managed by Vica . -### STEP 3) DO SENTENCE SIMPLIFICATION ### -DEACTIVATED +# Processing sentence 146/554 # -# Processing sentence 507/527 # - -'According to the U.S. Bureau of Labor Statistics, the Obama administration created 11.3 million jobs from the month after his first inauguration to the end of his term.' +'A Loyal Character was written by Qiu Ziaolong , can be found in hardcover and has 360 pages .' ### Step 1) CREATE SENTENCE DISCOURSE TREE ### CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - ├──────────────────s──────────────────> 'This was from the month .' - └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - ├─────────────s─────────────> 'This was after his first inauguration .' - └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - ├────────s────────> 'This was to the end of his term .' - └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalInitialExtractor) - ├───s───> 'This was according to the U.S. Bureau of Labor Statistics .' - └───n───> 'The Obama administration created 11.3 million jobs .' +└───n───> CO/UNKNOWN_COORDINATION (NULL, SharedNPPostCoordinationExtractor) + ├───n───> 'A Loyal Character was written by Qiu Ziaolong .' + ├───n───> 'A Loyal Character can be found in hardcover .' + └───n───> 'A Loyal Character has 360 pages .' ### STEP 2) DO DISCOURSE EXTRACTION ### -# According to the U.S. Bureau of Labor Statistics, the Obama administration created 11.3 million jobs from the month after his first inauguration to the end of his term. +# A Loyal Character was written by Qiu Ziaolong , can be found in hardcover and has 360 pages . -9133161bac3b423fbefe315b8305298b 0 The Obama administration created 11.3 million jobs . - S:UNKNOWN_SUBORDINATION This was according to the U.S. Bureau of Labor Statistics . - S:UNKNOWN_SUBORDINATION This was to the end of his term . - S:UNKNOWN_SUBORDINATION This was after his first inauguration . - S:UNKNOWN_SUBORDINATION This was from the month . +d779ccb26d9a49f3a682b4e0de14a7f8 0 A Loyal Character was written by Qiu Ziaolong . +f59d13e8c4cd49a7ba1364c7139b8ed4 0 A Loyal Character can be found in hardcover . -### STEP 3) DO SENTENCE SIMPLIFICATION ### +66d61dedebc94fdc867f0fbc40ffb131 0 A Loyal Character has 360 pages . -DEACTIVATED -# Processing sentence 508/527 # +# Processing sentence 147/554 # -'In 2009, Obama signed into law the National Defense Authorization Act for Fiscal Year 2010, which contained in it the Matthew Shepard and James Byrd Jr.' +'The manager of FC Magdeburg is Jens Härtel who plays for SV Babelsberg 03 and has represented the club FC Sachsen Leipzig .' ### Step 1) CREATE SENTENCE DISCOURSE TREE ### CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/DESCRIBING_DEFINITION ('which', NonRestrictiveRelativeClauseWhoWhichExtractor) - ├───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - | ├───s───> 'This was in 2009 .' - | └───n───> 'Obama signed into law the National Defense Authorization Act for Fiscal Year 2010 .' - └────────s────────> 'Fiscal Year 2010 contained in it the Matthew Shepard and James Byrd Jr. .' +└───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) + ├─────────────s─────────────> 'FC Sachsen Leipzig was the club .' + └───n───> SUB/IDENTIFYING_DEFINITION ('who', RestrictiveRelativeClauseWhoWhichExtractor) + ├────────n────────> 'The manager of FC Magdeburg is Jens Härtel .' + └───s───> CO/LIST ('and', SharedNPPostCoordinationExtractor) + ├───n───> 'Jens Härtel plays for SV Babelsberg 03 .' + └───n───> 'Jens Härtel has represented FC Sachsen Leipzig .' ### STEP 2) DO DISCOURSE EXTRACTION ### -# In 2009, Obama signed into law the National Defense Authorization Act for Fiscal Year 2010, which contained in it the Matthew Shepard and James Byrd Jr. +# The manager of FC Magdeburg is Jens Härtel who plays for SV Babelsberg 03 and has represented the club FC Sachsen Leipzig . -1a0d152955aa4ee8a6ed6fa911da1dd4 0 Obama signed into law the National Defense Authorization Act for Fiscal Year 2010 . - S:TEMPORAL This was in 2009 . - L:DESCRIBING_DEFINITION 9426c0723bf44519a2b0e9ec76b2b714 +a6a5f3e9ac0546db8fe4e56e20d34c5c 0 The manager of FC Magdeburg is Jens Härtel . + L:IDENTIFYING_DEFINITION 0122f0563b20431abd3620acc0d8c9b0 + L:IDENTIFYING_DEFINITION e825af65a1f544f383eef955a26ce8ac + L:ELABORATION 3646d3bc70f74b8f81a1e7364bea96b3 -9426c0723bf44519a2b0e9ec76b2b714 1 Fiscal Year 2010 contained in it the Matthew Shepard and James Byrd Jr. . +0122f0563b20431abd3620acc0d8c9b0 1 Jens Härtel plays for SV Babelsberg 03 . + L:LIST e825af65a1f544f383eef955a26ce8ac +e825af65a1f544f383eef955a26ce8ac 1 Jens Härtel has represented FC Sachsen Leipzig . + L:LIST 0122f0563b20431abd3620acc0d8c9b0 -### STEP 3) DO SENTENCE SIMPLIFICATION ### +3646d3bc70f74b8f81a1e7364bea96b3 1 FC Sachsen Leipzig was the club . -DEACTIVATED -# Processing sentence 509/527 # +# Processing sentence 148/554 # -'Hate Crimes Prevention Act, the first addition to existing federal hate crime law in the United States since Democratic President Bill Clinton signed into law the Church Arson Prevention Act of 1996.' +'Elliot See -LRB- deceased -RRB- was born in Dallas 1927-07-23 .' ### Step 1) CREATE SENTENCE DISCOURSE TREE ### CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> 'Hate Crimes Prevention Act , the first addition to existing federal hate crime law in the United States since Democratic President Bill Clinton signed into law the Church Arson Prevention Act of 1996 .' +└───n───> 'Elliot See -LRB- deceased -RRB- was born in Dallas 1927-07-23 .' ### STEP 2) DO DISCOURSE EXTRACTION ### -# Hate Crimes Prevention Act, the first addition to existing federal hate crime law in the United States since Democratic President Bill Clinton signed into law the Church Arson Prevention Act of 1996. - -fd12e7b876f94c88a7d7abd34ef5b115 0 Hate Crimes Prevention Act , the first addition to existing federal hate crime law in the United States since Democratic President Bill Clinton signed into law the Church Arson Prevention Act of 1996 . +# Elliot See -LRB- deceased -RRB- was born in Dallas 1927-07-23 . +de2ecf49e9e24c9b80d018a07fc92284 0 Elliot See -LRB- deceased -RRB- was born in Dallas 1927-07-23 . -### STEP 3) DO SENTENCE SIMPLIFICATION ### -DEACTIVATED +# Processing sentence 149/554 # -# Processing sentence 510/527 # - -'The Matthew Shepard and James Byrd Jr.' +'20 Fenchurch Street , which has a floor count of 34 , was completed in April 2014 .' ### Step 1) CREATE SENTENCE DISCOURSE TREE ### CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> 'The Matthew Shepard and James Byrd Jr. .' +└───n───> SUB/DESCRIBING_DEFINITION ('which', NonRestrictiveRelativeClauseWhoWhichExtractor) + ├───n───> '20 Fenchurch Street was completed in April 2014 .' + └───s───> '20 Fenchurch Street has a floor count of 34 .' ### STEP 2) DO DISCOURSE EXTRACTION ### -# The Matthew Shepard and James Byrd Jr. +# 20 Fenchurch Street , which has a floor count of 34 , was completed in April 2014 . -ec2c88c33c0646bf8fe643db157bc6c6 0 The Matthew Shepard and James Byrd Jr. . +745c137c4fb04766a418779215bcf270 0 20 Fenchurch Street was completed in April 2014 . + L:DESCRIBING_DEFINITION ae5b2d239ecf45ceb9b951f45646a3aa +ae5b2d239ecf45ceb9b951f45646a3aa 1 20 Fenchurch Street has a floor count of 34 . -### STEP 3) DO SENTENCE SIMPLIFICATION ### -DEACTIVATED +# Processing sentence 150/554 # -# Processing sentence 511/527 # - -'Hate Crimes Prevention Act expanded existing federal hate crime laws in the United States to apply to crimes motivated by a victim's actual or perceived gender, sexual orientation, gender identity, or disability, and dropped the prerequisite that the victim be engaging in a federally protected activity.' +'200 Public square is in Cleveland , USA .' ### Step 1) CREATE SENTENCE DISCOURSE TREE ### CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/ELABORATION (NULL, NonRestrictiveAppositionExtractor) - ├─────────────s─────────────> 'Sexual orientation was gender identity .' - └───n───> CO/LIST (', and', SharedNPPostCoordinationExtractor) - ├───n───> SUB/PURPOSE (NULL, PurposePostExtractor) - | ├───n───> 'Hate Crimes Prevention Act expanded existing federal hate crime laws in the United States .' - | └───s───> 'This was to apply to crimes motivated by a victim 's actual or perceived gender , sexual orientation or disability .' - └───n───> SUB/UNKNOWN_SUBORDINATION ('that', SubordinationPostExtractor) - ├───n───> 'Hate Crimes Prevention Act dropped the prerequisite .' - └───s───> 'The victim be engaging in a federally protected activity .' +└───n───> '200 Public square is in Cleveland , USA .' ### STEP 2) DO DISCOURSE EXTRACTION ### -# Hate Crimes Prevention Act expanded existing federal hate crime laws in the United States to apply to crimes motivated by a victim's actual or perceived gender, sexual orientation, gender identity, or disability, and dropped the prerequisite that the victim be engaging in a federally protected activity. +# 200 Public square is in Cleveland , USA . -d8cb7507fb114a80852bd40eb29ef6f6 0 Hate Crimes Prevention Act expanded existing federal hate crime laws in the United States . - S:PURPOSE This was to apply to crimes motivated by a victim 's actual or perceived gender , sexual orientation or disability . - L:LIST d55875af2e2c47dfb2da6eabd554f5ba - L:ELABORATION 089f2a8a12d74e5794c4a6474ed005f7 +7bb03ec896f14d679a37908b54cf78d3 0 200 Public square is in Cleveland , USA . -d55875af2e2c47dfb2da6eabd554f5ba 0 Hate Crimes Prevention Act dropped the prerequisite . - L:UNKNOWN_SUBORDINATION 7726c23baecf4dc1bfdbc82b111b2356 - L:LIST d8cb7507fb114a80852bd40eb29ef6f6 - L:ELABORATION 089f2a8a12d74e5794c4a6474ed005f7 -7726c23baecf4dc1bfdbc82b111b2356 1 The victim be engaging in a federally protected activity . +# Processing sentence 151/554 # -089f2a8a12d74e5794c4a6474ed005f7 1 Sexual orientation was gender identity . +'Jacob Zuma is the leader of South Africa which is also the location of 11 Diagonal Street .' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/IDENTIFYING_DEFINITION ('which', RestrictiveRelativeClauseWhoWhichExtractor) + ├───n───> 'Jacob Zuma is the leader of South Africa .' + └───s───> 'South Africa is also the location of 11 Diagonal Street .' -### STEP 3) DO SENTENCE SIMPLIFICATION ### +### STEP 2) DO DISCOURSE EXTRACTION ### -DEACTIVATED +# Jacob Zuma is the leader of South Africa which is also the location of 11 Diagonal Street . -# Processing sentence 512/527 # +b0354b3472784e96b0487c7a791c2078 0 Jacob Zuma is the leader of South Africa . + L:IDENTIFYING_DEFINITION 311c8e10c3134ec6ad75c0c87ad3516b -'In 2010, Obama signed into effect the Dodd–Frank Wall Street Reform and Consumer Protection Act.' +311c8e10c3134ec6ad75c0c87ad3516b 1 South Africa is also the location of 11 Diagonal Street . -### Step 1) CREATE SENTENCE DISCOURSE TREE ### -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - ├────────s────────> 'This was in 2010 .' - └───n───> CO/LIST (NULL, PostListNPExtractor) - ├───n───> 'Obama signed into effect the Dodd -- Frank Wall Street Reform .' - └───n───> 'Obama signed into effect the Dodd -- Consumer Protection Act .' +# Processing sentence 152/554 # -### STEP 2) DO DISCOURSE EXTRACTION ### +'St Vincent - St Mary High School , located in the state of Ohio , is the ground of Akron Summit Assault .' -# In 2010, Obama signed into effect the Dodd–Frank Wall Street Reform and Consumer Protection Act. +### Step 1) CREATE SENTENCE DISCOURSE TREE ### -4987ee68613c4678a4b06f76129e0270 0 Obama signed into effect the Dodd -- Frank Wall Street Reform . - S:TEMPORAL This was in 2010 . - L:LIST 77f67859a8c744c994a4d84b4cf8c81f +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> 'St Vincent - St Mary High School , located in the state of Ohio , is the ground of Akron Summit Assault .' -77f67859a8c744c994a4d84b4cf8c81f 0 Obama signed into effect the Dodd -- Consumer Protection Act . - S:TEMPORAL This was in 2010 . - L:LIST 4987ee68613c4678a4b06f76129e0270 +### STEP 2) DO DISCOURSE EXTRACTION ### +# St Vincent - St Mary High School , located in the state of Ohio , is the ground of Akron Summit Assault . -### STEP 3) DO SENTENCE SIMPLIFICATION ### +5be4c5e744cd43cbb977cc7ef7334c2f 0 St Vincent - St Mary High School , located in the state of Ohio , is the ground of Akron Summit Assault . -DEACTIVATED -# Processing sentence 513/527 # +# Processing sentence 153/554 # -'Passed as a response to the financial crisis of 2007–08, it brought the most significant changes to financial regulation in the United States since the regulatory reform that followed the Great Depression under Democratic President Franklin D. Roosevelt.' +'The Atatürk Monument -LRB- İzmir -RRB- was designed by Pietro Canonnica , and can be found in Turkey , where the capital is Ankara .' ### Step 1) CREATE SENTENCE DISCOURSE TREE ### CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) - ├──────────────────s──────────────────> 'Franklin D. Roosevelt was Democratic President .' - └───n───> CO/UNKNOWN_COORDINATION ('', SharedNPPreParticipalExtractor) - ├────────n────────> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) - | ├───s───> 'This was to the financial crisis of 2007 -- 08 .' - | └───n───> 'It was passed as a response .' - └───n───> SUB/IDENTIFYING_DEFINITION ('that', RestrictiveRelativeClauseWhoWhichExtractor) - ├───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) - | ├───s───> 'This was to financial regulation in the United States .' - | └───n───> 'It brought the most significant changes since the regulatory reform .' - └───s───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - ├───s───> 'This was under Franklin D. Roosevelt .' - └───n───> 'The regulatory reform followed the Great Depression .' +└───n───> SUB/SPATIAL (NULL, NonRestrictiveRelativeClauseWhereExtractor) + ├───n───> CO/LIST (', and', SharedNPPostCoordinationExtractor) + | ├───n───> 'The Atatürk Monument -LRB- İzmir -RRB- was designed by Pietro Canonnica .' + | └───n───> 'The Atatürk Monument -LRB- İzmir -RRB- can be found in Turkey .' + └────────s────────> 'The capital is Ankara .' ### STEP 2) DO DISCOURSE EXTRACTION ### -# Passed as a response to the financial crisis of 2007–08, it brought the most significant changes to financial regulation in the United States since the regulatory reform that followed the Great Depression under Democratic President Franklin D. Roosevelt. +# The Atatürk Monument -LRB- İzmir -RRB- was designed by Pietro Canonnica , and can be found in Turkey , where the capital is Ankara . -373dfb871c6c4783a0bef2302f12988f 0 It was passed as a response . - S:TEMPORAL This was to the financial crisis of 2007 -- 08 . - L:ELABORATION 12abb2097d984e3a8c22c833b3cbc22a +eaa2da69b09c424482ef069eb5d75d20 0 The Atatürk Monument -LRB- İzmir -RRB- was designed by Pietro Canonnica . + L:LIST aa71bb737c9445cd843df462ac3a8547 + L:SPATIAL d119494cc29042adbc557fdc965d04ef -4f43f6760f214c389784a14ab582b7ab 0 It brought the most significant changes since the regulatory reform . - S:SPATIAL This was to financial regulation in the United States . - L:IDENTIFYING_DEFINITION da2b8a63505c41bdad9adea0ac63edb4 - L:ELABORATION 12abb2097d984e3a8c22c833b3cbc22a +aa71bb737c9445cd843df462ac3a8547 0 The Atatürk Monument -LRB- İzmir -RRB- can be found in Turkey . + L:LIST eaa2da69b09c424482ef069eb5d75d20 + L:SPATIAL d119494cc29042adbc557fdc965d04ef -da2b8a63505c41bdad9adea0ac63edb4 1 The regulatory reform followed the Great Depression . - S:UNKNOWN_SUBORDINATION This was under Franklin D. Roosevelt . +d119494cc29042adbc557fdc965d04ef 1 The capital is Ankara . -12abb2097d984e3a8c22c833b3cbc22a 1 Franklin D. Roosevelt was Democratic President . +# Processing sentence 154/554 # -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 514/527 # - -'As president, Obama advanced LGBT rights.' +'The Administrative Science Quarterly , or Admin. Sci. Q , is in the management discipline with ISSN number 0001-8392 .' ### Step 1) CREATE SENTENCE DISCOURSE TREE ### CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalInitialExtractor) - ├───s───> 'This was as president .' - └───n───> 'Obama advanced LGBT rights .' +└───n───> CO/DISJUNCTION (NULL, PreListNPExtractor) + ├───n───> 'The Administrative Science Quarterly is in the management discipline with ISSN number 0001-8392 .' + └───n───> 'Admin . Sci . Q , is in the management discipline with ISSN number 0001-8392 .' ### STEP 2) DO DISCOURSE EXTRACTION ### -# As president, Obama advanced LGBT rights. - -6dd6a6ec75b042f38a76145e55a8497f 0 Obama advanced LGBT rights . - S:UNKNOWN_SUBORDINATION This was as president . +# The Administrative Science Quarterly , or Admin. Sci. Q , is in the management discipline with ISSN number 0001-8392 . +0a559f398f1a49b2ad9252e7f9bcc0a8 0 The Administrative Science Quarterly is in the management discipline with ISSN number 0001-8392 . + L:DISJUNCTION c8367d25bad74f6289df1708df6da426 -### STEP 3) DO SENTENCE SIMPLIFICATION ### +c8367d25bad74f6289df1708df6da426 0 Admin . Sci . Q , is in the management discipline with ISSN number 0001-8392 . + L:DISJUNCTION 0a559f398f1a49b2ad9252e7f9bcc0a8 -DEACTIVATED -# Processing sentence 515/527 # +# Processing sentence 155/554 # -'In 2010, he signed the Don't Ask, Don't Tell Repeal Act, which brought an end to don't ask, don't tell policy in the U.S. armed forces that banned open service from LGB people; the law went into effect the following year.' +'Founded by Charles Elkin Mathews , The Bodley Head published ' A Glastonbuy Romance ' .' ### Step 1) CREATE SENTENCE DISCOURSE TREE ### CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> CO/UNKNOWN_COORDINATION (', Do n't Tell Repeal Act , which brought an end to do n't ask , do n't tell policy in the U.S. armed forces that banned open service from LGB people ;', CoordinationExtractor) - ├───n───> SUB/UNKNOWN_SUBORDINATION ('', SubordinationPostExtractor) - | ├───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - | | ├───s───> 'This was in 2010 .' - | | └───n───> 'He signed .' - | └────────s────────> 'The Do n't Ask .' - └─────────────n─────────────> 'The law went into effect the following year .' +└───n───> CO/UNKNOWN_COORDINATION ('', SharedNPPreParticipalExtractor) + ├───n───> 'The Bodley Head was founded by Charles Elkin Mathews .' + └───n───> 'The Bodley Head published ' A Glastonbuy Romance ' .' ### STEP 2) DO DISCOURSE EXTRACTION ### -# In 2010, he signed the Don't Ask, Don't Tell Repeal Act, which brought an end to don't ask, don't tell policy in the U.S. armed forces that banned open service from LGB people; the law went into effect the following year. - -a2df9f1c2d9f4fdfb5f567f233b8c8ba 0 He signed . - S:TEMPORAL This was in 2010 . - L:UNKNOWN_SUBORDINATION f4295981f05043e59573975756729615 - -f4295981f05043e59573975756729615 1 The Do n't Ask . +# Founded by Charles Elkin Mathews , The Bodley Head published ' A Glastonbuy Romance ' . -4f51de26bfa24bf9926669b85eb66391 0 The law went into effect the following year . +d452969a8cf94a4eb124529f49fe0f74 0 The Bodley Head was founded by Charles Elkin Mathews . +58b33fea4127486abd601eed2a6ddf69 0 The Bodley Head published ' A Glastonbuy Romance ' . -### STEP 3) DO SENTENCE SIMPLIFICATION ### -DEACTIVATED +# Processing sentence 156/554 # -# Processing sentence 516/527 # - -'In 2016, the Obama administration brought an end to the ban on transgender people serving openly in the US armed forces.' +'Alcatraz Versus the Evil Librarians is produced in print , with the ISBN number 0-439-92550-9 .' ### Step 1) CREATE SENTENCE DISCOURSE TREE ### CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - ├─────────────s─────────────> 'This was to the ban .' - └───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) - ├───s───> SUB/IDENTIFYING_DEFINITION ('', RestrictiveParticipialExtractor) - | ├───n───> 'This was on transgender people .' - | └───s───> 'Transgender people were serving openly in the US armed forces .' - └───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - ├───s───> 'This was in 2016 .' - └───n───> 'The Obama administration brought an end .' +└───n───> SUB/TEMPORAL (NULL, PrepositionalMiddleFinalExtractor) + ├───s───> 'This was with the ISBN number 0-439-92550-9 .' + └───n───> 'Alcatraz Versus the Evil Librarians is produced in print .' ### STEP 2) DO DISCOURSE EXTRACTION ### -# In 2016, the Obama administration brought an end to the ban on transgender people serving openly in the US armed forces. - -2a55008143d24cda9178f95fdc798097 0 The Obama administration brought an end . - S:TEMPORAL This was in 2016 . - S:UNKNOWN_SUBORDINATION This was to the ban . - L:SPATIAL 2adc9e081b72451f8792952a96757eab +# Alcatraz Versus the Evil Librarians is produced in print , with the ISBN number 0-439-92550-9 . -2adc9e081b72451f8792952a96757eab 1 This was on transgender people . - L:IDENTIFYING_DEFINITION 240b7f322b034200ae33e3e5eb19ab4a +b350dd0568804fd188b3506dff8558ec 0 Alcatraz Versus the Evil Librarians is produced in print . + S:TEMPORAL This was with the ISBN number 0-439-92550-9 . -240b7f322b034200ae33e3e5eb19ab4a 2 Transgender people were serving openly in the US armed forces . +# Processing sentence 157/554 # -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 517/527 # - -'A Gallup poll, taken in the final days of Obama's term, showed that 68% of Americans believed that the U.S. had made progress in the situation for gays and lesbians during Obama's eight years in office.' +'200 Public Square is located in Cleveland , Ohio , United States and the governing body of Cleveland is Cleveland City Council .' ### Step 1) CREATE SENTENCE DISCOURSE TREE ### CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/UNKNOWN_SUBORDINATION ('that', SubordinationPostExtractor) - ├──────────────────n──────────────────> SUB/UNKNOWN_SUBORDINATION ('', ParticipialMiddleExtractor) - | ├───n───> 'A Gallup poll showed .' - | └───s───> 'A Gallup poll was taken in the final days of Obama 's term .' - └───s───> SUB/ATTRIBUTION (NULL, SubordinationPostAttributionExtractor2) - ├──────────────────s──────────────────> 'This was what 68 % of Americans believed .' - └───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) - ├─────────────s─────────────> 'This was during Obama 's eight years .' - └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - ├────────s────────> 'This was in office .' - └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - ├───s───> 'This was in the situation for gays and lesbians .' - └───n───> 'The U.S. had made progress .' +└───n───> SUB/IDENTIFYING_DEFINITION ('', RestrictiveRelativeClauseWithoutRelativePronounExtractor) + ├────────n────────> '200 is Cleveland City Council .' + └───s───> CO/LIST (NULL, PostListNPExtractor) + ├───n───> 'Public Square is located in Cleveland .' + ├───n───> 'Public Square is located in Ohio .' + ├───n───> 'Public Square is located in United States .' + └───n───> 'Public Square is located in the governing body of Cleveland 200 .' ### STEP 2) DO DISCOURSE EXTRACTION ### -# A Gallup poll, taken in the final days of Obama's term, showed that 68% of Americans believed that the U.S. had made progress in the situation for gays and lesbians during Obama's eight years in office. +# 200 Public Square is located in Cleveland , Ohio , United States and the governing body of Cleveland is Cleveland City Council . -a40c3fa11454424bb9549a8fa8eba91c 0 A Gallup poll showed . - L:UNKNOWN_SUBORDINATION 0f922ec9c9ac400b8229f911e3511803 - L:UNKNOWN_SUBORDINATION 2344026461ef47c6ad81248210043834 +6b9d9c35564f4df793500194129279cb 0 200 is Cleveland City Council . + L:IDENTIFYING_DEFINITION 95c89e40e6a14bcc9cc958d507b64be5 + L:IDENTIFYING_DEFINITION 7c7c1a5ee82d44d7bae7d14fbc47b9a5 + L:IDENTIFYING_DEFINITION 58757e8cec6a48a2aacc913c89b3f5f0 + L:IDENTIFYING_DEFINITION 8199beb0894844ffab4056f0b423d379 -0f922ec9c9ac400b8229f911e3511803 1 A Gallup poll was taken in the final days of Obama 's term . +95c89e40e6a14bcc9cc958d507b64be5 1 Public Square is located in Cleveland . + L:LIST 7c7c1a5ee82d44d7bae7d14fbc47b9a5 + L:LIST 58757e8cec6a48a2aacc913c89b3f5f0 + L:LIST 8199beb0894844ffab4056f0b423d379 -2344026461ef47c6ad81248210043834 1 The U.S. had made progress . - S:UNKNOWN_SUBORDINATION This was in the situation for gays and lesbians . - S:UNKNOWN_SUBORDINATION This was in office . - S:TEMPORAL This was during Obama 's eight years . - S:ATTRIBUTION This was what 68 % of Americans believed . +7c7c1a5ee82d44d7bae7d14fbc47b9a5 1 Public Square is located in Ohio . + L:LIST 58757e8cec6a48a2aacc913c89b3f5f0 + L:LIST 8199beb0894844ffab4056f0b423d379 + L:LIST 95c89e40e6a14bcc9cc958d507b64be5 +58757e8cec6a48a2aacc913c89b3f5f0 1 Public Square is located in United States . + L:LIST 8199beb0894844ffab4056f0b423d379 + L:LIST 95c89e40e6a14bcc9cc958d507b64be5 + L:LIST 7c7c1a5ee82d44d7bae7d14fbc47b9a5 -### STEP 3) DO SENTENCE SIMPLIFICATION ### +8199beb0894844ffab4056f0b423d379 1 Public Square is located in the governing body of Cleveland 200 . + L:LIST 95c89e40e6a14bcc9cc958d507b64be5 + L:LIST 7c7c1a5ee82d44d7bae7d14fbc47b9a5 + L:LIST 58757e8cec6a48a2aacc913c89b3f5f0 -DEACTIVATED -# Processing sentence 518/527 # +# Processing sentence 158/554 # -'Obama continued drone strikes against Islamist militants begun by the previous administration.' +'President Barack Obama is the leader of the United States where 250 Delaware Avenue is located .' ### Step 1) CREATE SENTENCE DISCOURSE TREE ### CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - ├───s───> SUB/IDENTIFYING_DEFINITION ('', RestrictiveParticipialExtractor) - | ├───n───> 'This was against Islamist militants .' - | └───s───> 'Islamist militants were begun by the previous administration .' - └────────n────────> 'Obama continued drone strikes .' +└───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) + ├───s───> 'Barack Obama was President .' + └───n───> 'Barack Obama is the leader of the United States where 250 Delaware Avenue is located .' ### STEP 2) DO DISCOURSE EXTRACTION ### -# Obama continued drone strikes against Islamist militants begun by the previous administration. - -78fc3486b6634a2587dadcbc1b53d60b 0 Obama continued drone strikes . - L:UNKNOWN_SUBORDINATION 384ec92aff6d4872aaff6d71379339d8 - -384ec92aff6d4872aaff6d71379339d8 1 This was against Islamist militants . - L:IDENTIFYING_DEFINITION 653ddb305a564d8b812eb02c1b46d870 +# President Barack Obama is the leader of the United States where 250 Delaware Avenue is located . -653ddb305a564d8b812eb02c1b46d870 2 Islamist militants were begun by the previous administration . +864de0521219452da62a60721f84563e 0 Barack Obama is the leader of the United States where 250 Delaware Avenue is located . + L:ELABORATION 631f375594e04b44aa398d2dfe7e31c2 +631f375594e04b44aa398d2dfe7e31c2 1 Barack Obama was President . -### STEP 3) DO SENTENCE SIMPLIFICATION ### -DEACTIVATED +# Processing sentence 159/554 # -# Processing sentence 519/527 # - -'In 2016, the last year of his presidency, the US dropped 26,171 bombs on seven different countries.' +'Asilomar Conference Grounds are located in Pacific Grove , California and was added to the National Register of Historic Places on February the 27nd 1987 .' ### Step 1) CREATE SENTENCE DISCOURSE TREE ### CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/ELABORATION (NULL, NonRestrictiveAppositionExtractor) - ├─────────────s─────────────> '2016 was the last year of his presidency .' +└───n───> CO/LIST ('and', SharedNPPostCoordinationExtractor) + ├────────n────────> 'Asilomar Conference Grounds are located in Pacific Grove , California the 27nd 1987 .' └───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) - ├────────s────────> 'This was on seven different countries .' - └───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - ├───s───> 'This was in 2016 .' - └───n───> 'The US dropped 26,171 bombs .' + ├───s───> 'This was on February the 27nd 1987 .' + └───n───> 'Asilomar Conference Grounds are was added to the National Register of Historic Places .' ### STEP 2) DO DISCOURSE EXTRACTION ### -# In 2016, the last year of his presidency, the US dropped 26,171 bombs on seven different countries. - -72d416b7d44248479b1026df50d26cf7 0 The US dropped 26,171 bombs . - S:TEMPORAL This was in 2016 . - S:TEMPORAL This was on seven different countries . - L:ELABORATION 063be774b8b9443e97750e00d250ba16 +# Asilomar Conference Grounds are located in Pacific Grove , California and was added to the National Register of Historic Places on February the 27nd 1987 . -063be774b8b9443e97750e00d250ba16 1 2016 was the last year of his presidency . +cec6bcf73d3a4f179e6c129e13e3f0dc 0 Asilomar Conference Grounds are located in Pacific Grove , California the 27nd 1987 . + L:LIST b696d33c025e4ca3be6a9897321d8e10 +b696d33c025e4ca3be6a9897321d8e10 0 Asilomar Conference Grounds are was added to the National Register of Historic Places . + S:TEMPORAL This was on February the 27nd 1987 . + L:LIST cec6bcf73d3a4f179e6c129e13e3f0dc -### STEP 3) DO SENTENCE SIMPLIFICATION ### -DEACTIVATED +# Processing sentence 160/554 # -# Processing sentence 520/527 # - -'Obama left about 9,800 US troops in Afghanistan, 5,262 in Iraq, 503 in Syria, 133 in Pakistan, 106 in Somalia, 7 in Yemen, and 2 in Libya at the end of his presidency.' +'Above the Veil by Garth Nix , OCLC 46451790 , was produced in print .' ### Step 1) CREATE SENTENCE DISCOURSE TREE ### CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - ├────────s────────> 'This was at the end of his presidency .' - └───n───> CO/LIST (NULL, PostListNPExtractor) - ├───n───> 'Obama left about 9,800 US troops in Afghanistan .' - ├───n───> 'Obama left 5,262 in Iraq .' - ├───n───> 'Obama left 503 in Syria .' - ├───n───> 'Obama left 133 in Pakistan .' - ├───n───> 'Obama left 106 in Somalia .' - ├───n───> 'Obama left 7 in Yemen .' - └───n───> 'Obama left 2 in Libya .' +└───n───> SUB/ELABORATION (NULL, NonRestrictiveAppositionExtractor) + ├─────────────s─────────────> 'Garth Nix was OCLC 46451790 .' + └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalInitialExtractor) + ├────────s────────> 'This was above the Veil .' + └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalInitialExtractor) + ├───s───> 'This was by Garth Nix .' + └───n───> 'Was produced in print .' ### STEP 2) DO DISCOURSE EXTRACTION ### -# Obama left about 9,800 US troops in Afghanistan, 5,262 in Iraq, 503 in Syria, 133 in Pakistan, 106 in Somalia, 7 in Yemen, and 2 in Libya at the end of his presidency. - -a3dcfdda6b254caab8d7d015e7c6a7e4 0 Obama left about 9,800 US troops in Afghanistan . - S:UNKNOWN_SUBORDINATION This was at the end of his presidency . - L:LIST a23398a02b934c8eba70a7aa5c8807bb - L:LIST 78357507518d4511bb51721896dfda98 - L:LIST e348ce2aeeff4fcb947cb1bd3a3499f7 - L:LIST a6739376deef47feafdcea9290ab405a - L:LIST 320c1d523724478f8a75681563230c62 - L:LIST 253a18c8b6f84cdeadbff7cfbfc6e139 - -a23398a02b934c8eba70a7aa5c8807bb 0 Obama left 5,262 in Iraq . - S:UNKNOWN_SUBORDINATION This was at the end of his presidency . - L:LIST 78357507518d4511bb51721896dfda98 - L:LIST e348ce2aeeff4fcb947cb1bd3a3499f7 - L:LIST a6739376deef47feafdcea9290ab405a - L:LIST 320c1d523724478f8a75681563230c62 - L:LIST 253a18c8b6f84cdeadbff7cfbfc6e139 - L:LIST a3dcfdda6b254caab8d7d015e7c6a7e4 - -78357507518d4511bb51721896dfda98 0 Obama left 503 in Syria . - S:UNKNOWN_SUBORDINATION This was at the end of his presidency . - L:LIST e348ce2aeeff4fcb947cb1bd3a3499f7 - L:LIST a6739376deef47feafdcea9290ab405a - L:LIST 320c1d523724478f8a75681563230c62 - L:LIST 253a18c8b6f84cdeadbff7cfbfc6e139 - L:LIST a3dcfdda6b254caab8d7d015e7c6a7e4 - L:LIST a23398a02b934c8eba70a7aa5c8807bb - -e348ce2aeeff4fcb947cb1bd3a3499f7 0 Obama left 133 in Pakistan . - S:UNKNOWN_SUBORDINATION This was at the end of his presidency . - L:LIST a6739376deef47feafdcea9290ab405a - L:LIST 320c1d523724478f8a75681563230c62 - L:LIST 253a18c8b6f84cdeadbff7cfbfc6e139 - L:LIST a3dcfdda6b254caab8d7d015e7c6a7e4 - L:LIST a23398a02b934c8eba70a7aa5c8807bb - L:LIST 78357507518d4511bb51721896dfda98 - -a6739376deef47feafdcea9290ab405a 0 Obama left 106 in Somalia . - S:UNKNOWN_SUBORDINATION This was at the end of his presidency . - L:LIST 320c1d523724478f8a75681563230c62 - L:LIST 253a18c8b6f84cdeadbff7cfbfc6e139 - L:LIST a3dcfdda6b254caab8d7d015e7c6a7e4 - L:LIST a23398a02b934c8eba70a7aa5c8807bb - L:LIST 78357507518d4511bb51721896dfda98 - L:LIST e348ce2aeeff4fcb947cb1bd3a3499f7 - -320c1d523724478f8a75681563230c62 0 Obama left 7 in Yemen . - S:UNKNOWN_SUBORDINATION This was at the end of his presidency . - L:LIST 253a18c8b6f84cdeadbff7cfbfc6e139 - L:LIST a3dcfdda6b254caab8d7d015e7c6a7e4 - L:LIST a23398a02b934c8eba70a7aa5c8807bb - L:LIST 78357507518d4511bb51721896dfda98 - L:LIST e348ce2aeeff4fcb947cb1bd3a3499f7 - L:LIST a6739376deef47feafdcea9290ab405a - -253a18c8b6f84cdeadbff7cfbfc6e139 0 Obama left 2 in Libya . - S:UNKNOWN_SUBORDINATION This was at the end of his presidency . - L:LIST a3dcfdda6b254caab8d7d015e7c6a7e4 - L:LIST a23398a02b934c8eba70a7aa5c8807bb - L:LIST 78357507518d4511bb51721896dfda98 - L:LIST e348ce2aeeff4fcb947cb1bd3a3499f7 - L:LIST a6739376deef47feafdcea9290ab405a - L:LIST 320c1d523724478f8a75681563230c62 - - -### STEP 3) DO SENTENCE SIMPLIFICATION ### - -DEACTIVATED - -# Processing sentence 521/527 # - -'According to Pew Research Center and United States Bureau of Justice Statistics, from December 31, 2009 to December 31, 2015, that inmates sentenced in US federal custody declined by 5% under Obama.' +# Above the Veil by Garth Nix , OCLC 46451790 , was produced in print . -### Step 1) CREATE SENTENCE DISCOURSE TREE ### +b756acaf7d5844afa73bc4a99c1fc064 0 Was produced in print . + S:UNKNOWN_SUBORDINATION This was by Garth Nix . + S:UNKNOWN_SUBORDINATION This was above the Veil . + L:ELABORATION 604738e328dc4c549ddcfbd48da19078 -CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalAttachedtoVPExtractor) - ├──────────────────s──────────────────> 'This was under Obama .' - └───n───> SUB/TEMPORAL (NULL, PrepositionalInitialExtractor) - ├───s───> SUB/TEMPORAL (NULL, PrepositionalMiddleFinalExtractor) - | ├───s───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) - | | ├───s───> 'This was to December 31 , 2015 .' - | | └───n───> 'This was from December 31 , 2009 .' - | └───n───> CO/LIST (NULL, PostListNPExtractor) - | ├───n───> 'This was according to Pew Research Center .' - | └───n───> 'This was according to United States Bureau of Justice Statistics .' - └─────────────n─────────────> 'That inmates sentenced in US federal custody declined by 5 % .' +604738e328dc4c549ddcfbd48da19078 1 Garth Nix was OCLC 46451790 . -### STEP 2) DO DISCOURSE EXTRACTION ### -# According to Pew Research Center and United States Bureau of Justice Statistics, from December 31, 2009 to December 31, 2015, that inmates sentenced in US federal custody declined by 5% under Obama. +# Processing sentence 161/554 # -de7c9d02e155494d890ff6f2941de978 0 That inmates sentenced in US federal custody declined by 5 % . - S:UNKNOWN_SUBORDINATION This was under Obama . - L:TEMPORAL a17f90253cc04551b407210c7f621d8c - L:TEMPORAL 9c9189cac2f745ef9e7550f37136a7cf +'Alcatraz Versus the Evil Libraries is from the United States where they speak English and one of the ethnic groups is African American .' + +### Step 1) CREATE SENTENCE DISCOURSE TREE ### + +CO/UNKNOWN_COORDINATION (NULL, ROOT) +└───n───> SUB/IDENTIFYING_DEFINITION ('', RestrictiveRelativeClauseWithoutRelativePronounExtractor) + ├────────n────────> 'Alcatraz Versus is African American .' + └───s───> CO/LIST (NULL, PostListNPExtractor) + ├───n───> 'The Evil Libraries is Alcatraz Versus from the United States where they speak English .' + └───n───> 'The Evil Libraries is Alcatraz Versus from the United States where they speak one of the ethnic groups .' -a17f90253cc04551b407210c7f621d8c 1 This was according to Pew Research Center . - L:LIST 9c9189cac2f745ef9e7550f37136a7cf - L:TEMPORAL a1ee713bbde040d2ada82217dfcf0566 +### STEP 2) DO DISCOURSE EXTRACTION ### -9c9189cac2f745ef9e7550f37136a7cf 1 This was according to United States Bureau of Justice Statistics . - L:LIST a17f90253cc04551b407210c7f621d8c - L:TEMPORAL a1ee713bbde040d2ada82217dfcf0566 +# Alcatraz Versus the Evil Libraries is from the United States where they speak English and one of the ethnic groups is African American . -a1ee713bbde040d2ada82217dfcf0566 2 This was from December 31 , 2009 . - S:TEMPORAL This was to December 31 , 2015 . +579ae6155100491ea1c9c68c7aee22de 0 Alcatraz Versus is African American . + L:IDENTIFYING_DEFINITION 8d2dda7630e14cb0bc32143e2a40f9ef + L:IDENTIFYING_DEFINITION 33c33972bcdc4667b5f24f773b544d4b +8d2dda7630e14cb0bc32143e2a40f9ef 1 The Evil Libraries is Alcatraz Versus from the United States where they speak English . + L:LIST 33c33972bcdc4667b5f24f773b544d4b -### STEP 3) DO SENTENCE SIMPLIFICATION ### +33c33972bcdc4667b5f24f773b544d4b 1 The Evil Libraries is Alcatraz Versus from the United States where they speak one of the ethnic groups . + L:LIST 8d2dda7630e14cb0bc32143e2a40f9ef -DEACTIVATED -# Processing sentence 522/527 # +# Processing sentence 162/554 # -'This is the largest decline in sentenced inmates in US federal custody since Democratic President Jimmy Carter.' +'Alan Shepard was born in New Hampshire but died in California .' ### Step 1) CREATE SENTENCE DISCOURSE TREE ### CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) - ├───s───> 'Jimmy Carter is US federal custody since Democratic President .' - └───n───> 'This is the largest decline in sentenced inmates in Jimmy Carter .' +└───n───> CO/CONTRAST ('but', SharedNPPostCoordinationExtractor) + ├───n───> 'Alan Shepard was born in New Hampshire .' + └───n───> 'Alan Shepard was died in California .' ### STEP 2) DO DISCOURSE EXTRACTION ### -# This is the largest decline in sentenced inmates in US federal custody since Democratic President Jimmy Carter. - -42aa677f63c74bf5bfc81279235d0df7 0 This is the largest decline in sentenced inmates in Jimmy Carter . - L:ELABORATION c4c6d1a6ffef4a07ae3690b1e6e875a7 +# Alan Shepard was born in New Hampshire but died in California . -c4c6d1a6ffef4a07ae3690b1e6e875a7 1 Jimmy Carter is US federal custody since Democratic President . +5828bbdc02e0411c8f0a61640215e70a 0 Alan Shepard was born in New Hampshire . + L:CONTRAST ca474f5da26b47e2a03223cb3f1b8dde +ca474f5da26b47e2a03223cb3f1b8dde 0 Alan Shepard was died in California . + L:CONTRAST 5828bbdc02e0411c8f0a61640215e70a -### STEP 3) DO SENTENCE SIMPLIFICATION ### -DEACTIVATED +# Processing sentence 163/554 # -# Processing sentence 523/527 # - -'By contrast, the federal prison population increased significantly under presidents Ronald Reagan, George H. W. Bush, Bill Clinton, and George W. Bush.' +'A.F.C. Fylde 's ground is in Warton , Fylde , Lancashire and the club has 3180 members .' ### Step 1) CREATE SENTENCE DISCOURSE TREE ### CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/ELABORATION (NULL, RestrictiveAppositionExtractor) - ├─────────────s─────────────> 'Ronald Reagan was presidents .' - └───n───> SUB/UNKNOWN_SUBORDINATION (NULL, PrepositionalInitialExtractor) - ├────────s────────> 'This was by contrast .' - └───n───> CO/LIST (NULL, PostListNPExtractor) - ├───n───> 'The federal prison population increased significantly under Ronald Reagan .' - ├───n───> 'The federal prison population increased significantly under George H. W. Bush .' - ├───n───> 'The federal prison population increased significantly under Bill Clinton .' - └───n───> 'The federal prison population increased significantly under George W. Bush .' +└───n───> CO/LIST (NULL, PreListNPExtractor) + ├───n───> 'A.F.C. Fylde 's ground is in Warton , Fylde has 3180 members .' + ├───n───> 'A.F.C. Fylde 's ground is in Warton , Lancashire has 3180 members .' + └───n───> 'A.F.C. Fylde 's ground is in Warton , the club has 3180 members .' ### STEP 2) DO DISCOURSE EXTRACTION ### -# By contrast, the federal prison population increased significantly under presidents Ronald Reagan, George H. W. Bush, Bill Clinton, and George W. Bush. - -3d07203501b346e9b29b39816d679585 0 The federal prison population increased significantly under Ronald Reagan . - S:UNKNOWN_SUBORDINATION This was by contrast . - L:LIST 5ce9485ea96a4faeb369a2950d698e93 - L:LIST 82ab010b4d4a4a1c9e189310a997251f - L:LIST d656f3e467114431a636143c6fa08494 - L:ELABORATION db3f40b417604e5bb83e724947fb060e - -5ce9485ea96a4faeb369a2950d698e93 0 The federal prison population increased significantly under George H. W. Bush . - S:UNKNOWN_SUBORDINATION This was by contrast . - L:LIST 82ab010b4d4a4a1c9e189310a997251f - L:LIST d656f3e467114431a636143c6fa08494 - L:LIST 3d07203501b346e9b29b39816d679585 - L:ELABORATION db3f40b417604e5bb83e724947fb060e - -82ab010b4d4a4a1c9e189310a997251f 0 The federal prison population increased significantly under Bill Clinton . - S:UNKNOWN_SUBORDINATION This was by contrast . - L:LIST d656f3e467114431a636143c6fa08494 - L:LIST 3d07203501b346e9b29b39816d679585 - L:LIST 5ce9485ea96a4faeb369a2950d698e93 - L:ELABORATION db3f40b417604e5bb83e724947fb060e +# A.F.C. Fylde 's ground is in Warton , Fylde , Lancashire and the club has 3180 members . -d656f3e467114431a636143c6fa08494 0 The federal prison population increased significantly under George W. Bush . - S:UNKNOWN_SUBORDINATION This was by contrast . - L:LIST 3d07203501b346e9b29b39816d679585 - L:LIST 5ce9485ea96a4faeb369a2950d698e93 - L:LIST 82ab010b4d4a4a1c9e189310a997251f - L:ELABORATION db3f40b417604e5bb83e724947fb060e +cf8fc57fbe8c488a98e3e89ce4a1cf1b 0 A.F.C. Fylde 's ground is in Warton , Fylde has 3180 members . + L:LIST b719db95e17b4698aa7bc93a706df276 + L:LIST 80891a32446a4f0a8f654f89161460ee -db3f40b417604e5bb83e724947fb060e 1 Ronald Reagan was presidents . +b719db95e17b4698aa7bc93a706df276 0 A.F.C. Fylde 's ground is in Warton , Lancashire has 3180 members . + L:LIST 80891a32446a4f0a8f654f89161460ee + L:LIST cf8fc57fbe8c488a98e3e89ce4a1cf1b +80891a32446a4f0a8f654f89161460ee 0 A.F.C. Fylde 's ground is in Warton , the club has 3180 members . + L:LIST cf8fc57fbe8c488a98e3e89ce4a1cf1b + L:LIST b719db95e17b4698aa7bc93a706df276 -### STEP 3) DO SENTENCE SIMPLIFICATION ### -DEACTIVATED +# Processing sentence 164/554 # -# Processing sentence 524/527 # - -'Obama left office in January 2017 with a 60% approval rating.' +'Rolando Maran -LRB- born in Italy -RRB- , has managed AC Chievo Verona and played for Carrarese Calcio .' ### Step 1) CREATE SENTENCE DISCOURSE TREE ### CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) - ├────────s────────> 'This was in January 2017 .' - └───n───> SUB/TEMPORAL (NULL, PrepositionalAttachedtoVPExtractor) - ├───s───> 'This was with a 60 % approval rating .' - └───n───> 'Obama left office .' +└───n───> CO/LIST ('and', SharedNPPostCoordinationExtractor) + ├───n───> 'Rolando Maran -LRB- born in Italy -RRB- , has managed AC Chievo Verona .' + └───n───> 'Rolando Maran -LRB- born in Italy -RRB- , has played for Carrarese Calcio .' ### STEP 2) DO DISCOURSE EXTRACTION ### -# Obama left office in January 2017 with a 60% approval rating. - -4c389da98426422c9695d61065dbd62f 0 Obama left office . - S:TEMPORAL This was with a 60 % approval rating . - S:TEMPORAL This was in January 2017 . +# Rolando Maran -LRB- born in Italy -RRB- , has managed AC Chievo Verona and played for Carrarese Calcio . +0f507f07f00d43798e3f895f37a2f659 0 Rolando Maran -LRB- born in Italy -RRB- , has managed AC Chievo Verona . + L:LIST 3aa94653bf224b238d0d61196c0bfd21 -### STEP 3) DO SENTENCE SIMPLIFICATION ### +3aa94653bf224b238d0d61196c0bfd21 0 Rolando Maran -LRB- born in Italy -RRB- , has played for Carrarese Calcio . + L:LIST 0f507f07f00d43798e3f895f37a2f659 -DEACTIVATED -# Processing sentence 525/527 # +# Processing sentence 165/554 # -'A 2017 C-SPAN Presidential Historians Survey ranked Obama as the 12th-best US president.' +'John van den Brom , who is a member of the Jong Ajax club and plays for Vitesse Arnhem , has been manager of AZ Alkmaar .' ### Step 1) CREATE SENTENCE DISCOURSE TREE ### CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> SUB/SPATIAL (NULL, PrepositionalAttachedtoVPExtractor) - ├───s───> 'This was as the 12th-best US president .' - └───n───> 'A 2017 C-SPAN Presidential Historians Survey ranked Obama .' +└───n───> SUB/DESCRIBING_DEFINITION ('who', NonRestrictiveRelativeClauseWhoWhichExtractor) + ├────────n────────> 'John van den Brom has been manager of AZ Alkmaar .' + └───s───> CO/LIST ('and', SharedNPPostCoordinationExtractor) + ├───n───> 'John van den Brom is a member of the Jong Ajax club .' + └───n───> 'John van den Brom plays for Vitesse Arnhem .' ### STEP 2) DO DISCOURSE EXTRACTION ### -# A 2017 C-SPAN Presidential Historians Survey ranked Obama as the 12th-best US president. +# John van den Brom , who is a member of the Jong Ajax club and plays for Vitesse Arnhem , has been manager of AZ Alkmaar . -e2681c5c20144145a39494317b3f995d 0 A 2017 C-SPAN Presidential Historians Survey ranked Obama . - S:SPATIAL This was as the 12th-best US president . +5db80990014848cabc40e4619f994e26 0 John van den Brom has been manager of AZ Alkmaar . + L:DESCRIBING_DEFINITION e91c9da756dd485aa5be0f163700b1b7 + L:DESCRIBING_DEFINITION 7845b9dec99646a3b0df9fb918bd2682 +e91c9da756dd485aa5be0f163700b1b7 1 John van den Brom is a member of the Jong Ajax club . + L:LIST 7845b9dec99646a3b0df9fb918bd2682 -### STEP 3) DO SENTENCE SIMPLIFICATION ### +7845b9dec99646a3b0df9fb918bd2682 1 John van den Brom plays for Vitesse Arnhem . + L:LIST e91c9da756dd485aa5be0f163700b1b7 -DEACTIVATED -# Processing sentence 526/527 # +# Processing sentence 166/554 # -'The Barack Obama Presidential Center is Obama's planned presidential library.' +'Alcatraz Versus the Evil Librarians is considered Fantasy literature and has the ISBN number 0-439-92550-9 .' ### Step 1) CREATE SENTENCE DISCOURSE TREE ### CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> 'The Barack Obama Presidential Center is Obama 's planned presidential library .' +└───n───> CO/LIST ('and', SharedNPPostCoordinationExtractor) + ├───n───> 'Alcatraz Versus the Evil Librarians is considered Fantasy literature .' + └───n───> 'Alcatraz Versus the Evil Librarians has the ISBN number 0-439-92550-9 .' ### STEP 2) DO DISCOURSE EXTRACTION ### -# The Barack Obama Presidential Center is Obama's planned presidential library. - -187e3611d1d1467ca3ce1afd3d3e66b0 0 The Barack Obama Presidential Center is Obama 's planned presidential library . +# Alcatraz Versus the Evil Librarians is considered Fantasy literature and has the ISBN number 0-439-92550-9 . +4407dfdfa1724f7996adfe93fd3ca6b4 0 Alcatraz Versus the Evil Librarians is considered Fantasy literature . + L:LIST 4c1e63d48efc405495db7965895fb01d -### STEP 3) DO SENTENCE SIMPLIFICATION ### +4c1e63d48efc405495db7965895fb01d 0 Alcatraz Versus the Evil Librarians has the ISBN number 0-439-92550-9 . + L:LIST 4407dfdfa1724f7996adfe93fd3ca6b4 -DEACTIVATED -# Processing sentence 527/527 # +# Processing sentence 167/554 # -'It will be hosted by the University of Chicago and located in Jackson Park on the South Side of Chicago.' +'A Glastonbury Romance , currently in print , has 1174 pages .' ### Step 1) CREATE SENTENCE DISCOURSE TREE ### CO/UNKNOWN_COORDINATION (NULL, ROOT) -└───n───> CO/LIST ('and', SharedNPPostCoordinationExtractor) - ├───n───> 'It will be hosted by the University of Chicago .' - └───n───> 'It will be located in Jackson Park on the South Side of Chicago .' +└───n───> 'A Glastonbury Romance , currently in print , has 1174 pages .' ### STEP 2) DO DISCOURSE EXTRACTION ### -# It will be hosted by the University of Chicago and located in Jackson Park on the South Side of Chicago. - -83043607594345f389a8aaa93bdf7eb4 0 It will be hosted by the University of Chicago . - L:LIST 806588d413b24ed299c62b31d2db8a41 +# A Glastonbury Romance , currently in print , has 1174 pages . -806588d413b24ed299c62b31d2db8a41 0 It will be located in Jackson Park on the South Side of Chicago . - L:LIST 83043607594345f389a8aaa93bdf7eb4 +ce47e142daf248efa86d76485e728401 0 A Glastonbury Romance , currently in print , has 1174 pages . -### STEP 3) DO SENTENCE SIMPLIFICATION ### +# Processing sentence 168/554 # -DEACTIVATED +'Marriott International was founded in Washington , D.C by Bill Marriott , it is the tenant of the AC Hotel Bella Sky Copenhagen , Denmark .' -### FINISHED - -done +### Step 1) CREATE SENTENCE DISCOURSE TREE ### diff --git a/pom.xml b/pom.xml index e4da263..18ecd6a 100644 --- a/pom.xml +++ b/pom.xml @@ -26,7 +26,7 @@ org.lambda3.text.simplification discourse-simplification - 8.1.1 + 8.2.0 jar Discourse Simplification @@ -82,13 +82,6 @@ ${jackson.version} - - - org.lambda3.text.simplification - sentence-simplification - ${simplification.version} - - edu.stanford.nlp @@ -101,6 +94,12 @@ + + edu.stanford.nlp + stanford-corenlp + ${corenlp.version} + models + diff --git a/src/main/java/org/lambda3/text/simplification/discourse/App.java b/src/main/java/org/lambda3/text/simplification/discourse/App.java index 5f74130..ff9b61e 100644 --- a/src/main/java/org/lambda3/text/simplification/discourse/App.java +++ b/src/main/java/org/lambda3/text/simplification/discourse/App.java @@ -51,7 +51,6 @@ private static void saveLines(File file, List lines) { } public static void main(String[] args) throws IOException { - SimplificationContent content = DISCOURSE_SIMPLIFIER.doDiscourseSimplification(new File("input.txt"), ProcessingType.SEPARATE, true); content.serializeToJSON(new File("output.json")); saveLines(new File("output_default.txt"), Arrays.asList(content.defaultFormat(false))); diff --git a/src/main/java/org/lambda3/text/simplification/discourse/processing/DiscourseSimplifier.java b/src/main/java/org/lambda3/text/simplification/discourse/processing/DiscourseSimplifier.java index 0d23348..4a34555 100644 --- a/src/main/java/org/lambda3/text/simplification/discourse/processing/DiscourseSimplifier.java +++ b/src/main/java/org/lambda3/text/simplification/discourse/processing/DiscourseSimplifier.java @@ -29,7 +29,6 @@ import org.lambda3.text.simplification.discourse.model.SimplificationContent; import org.lambda3.text.simplification.discourse.runner.discourse_extraction.DiscourseExtractor; import org.lambda3.text.simplification.discourse.runner.discourse_tree.DiscourseTreeCreator; -import org.lambda3.text.simplification.discourse.runner.sentence_simplification.SentenceSimplifier; import org.lambda3.text.simplification.discourse.utils.ConfigUtils; import org.lambda3.text.simplification.discourse.utils.parseTree.ParseTreeException; import org.lambda3.text.simplification.discourse.utils.sentences.SentencesUtils; @@ -47,8 +46,6 @@ public class DiscourseSimplifier { private final DiscourseTreeCreator discourseTreeCreator; private final DiscourseExtractor discourseExtractor; - private final SentenceSimplifier sentenceSimplifier; - private final boolean withSentenceSimplification; private final Logger logger = LoggerFactory.getLogger(getClass()); @@ -56,9 +53,6 @@ public DiscourseSimplifier(Config config) { SentencePreprocessor preprocessor = new SentencePreprocessor(config); this.discourseTreeCreator = new DiscourseTreeCreator(config, preprocessor); this.discourseExtractor = new DiscourseExtractor(config); - this.sentenceSimplifier = new SentenceSimplifier(config); - - this.withSentenceSimplification = config.getBoolean("with-sentence-simplification"); logger.debug("DiscourseSimplifier initialized"); logger.debug("\n{}", ConfigUtils.prettyPrint(config)); @@ -132,17 +126,6 @@ private SimplificationContent processWhole(List sentences) { logger.debug(content.toString()); } - // Step 3) do sentence simplification - logger.info("### STEP 3) DO SENTENCE SIMPLIFICATION ###"); - if (withSentenceSimplification) { - content.getSentences().forEach(s -> sentenceSimplifier.doSentenceSimplification(s)); - if (logger.isDebugEnabled()) { - logger.debug(content.toString()); - } - } else { - logger.info("DEACTIVATED"); - } - logger.info("### FINISHED"); return content; } @@ -174,14 +157,6 @@ private SimplificationContent processSeparate(List sentences) { elements.forEach(e -> outSentence.addElement(e)); logger.debug(outSentence.toString()); - // Step 3) do sentence simplification - logger.debug("### STEP 3) DO SENTENCE SIMPLIFICATION ###"); - if (withSentenceSimplification) { - sentenceSimplifier.doSentenceSimplification(outSentence); - logger.debug(outSentence.toString()); - } else { - logger.info("DEACTIVATED"); - } } catch (ParseTreeException e) { logger.error("Failed to process sentence: {}", sentence); } diff --git a/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/Relation.java b/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/Relation.java index b44ba78..1bde00f 100644 --- a/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/Relation.java +++ b/src/main/java/org/lambda3/text/simplification/discourse/runner/discourse_tree/Relation.java @@ -57,11 +57,7 @@ public enum Relation { TEMPORAL_TIME, // indicating a particular instance on a time scale (e.g. “Next Sunday 2 pm”). TEMPORAL_DURATION, // the amount of time between the two end-points of a time interval (e.g. “2 weeks"). TEMPORAL_DATE, // particular date (e.g. “On 7 April 2013”). -<<<<<<< HEAD TEMPORAL_SET, IDENTIFYING_DEFINITION, DESCRIBING_DEFINITION; // periodic temporal sets representing times that occur with some frequency (“Every Tuesday”). -======= - TEMPORAL_SET; // periodic temporal sets representing times that occur with some frequency (“Every Tuesday”). ->>>>>>> d4d938f9778712a34ecc3e3335094b9e92a9c746 static { UNKNOWN_COORDINATION.coordination = true; diff --git a/src/main/java/org/lambda3/text/simplification/discourse/runner/sentence_simplification/SentenceSimplifier.java b/src/main/java/org/lambda3/text/simplification/discourse/runner/sentence_simplification/SentenceSimplifier.java deleted file mode 100644 index 09f2a27..0000000 --- a/src/main/java/org/lambda3/text/simplification/discourse/runner/sentence_simplification/SentenceSimplifier.java +++ /dev/null @@ -1,142 +0,0 @@ -/* - * ==========================License-Start============================= - * DiscourseSimplification : SentenceSimplifier - * - * Copyright © 2017 Lambda³ - * - * GNU General Public License 3 - * This program is free software: you can redistribute it and/or modify - * it under the terms of the GNU General Public License as published by - * the Free Software Foundation, either version 3 of the License, or - * (at your option) any later version. - * - * This program is distributed in the hope that it will be useful, - * but WITHOUT ANY WARRANTY; without even the implied warranty of - * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the - * GNU General Public License for more details. - * - * You should have received a copy of the GNU General Public License - * along with this program. If not, see http://www.gnu.org/licenses/. - * ==========================License-End============================== - */ - -package org.lambda3.text.simplification.discourse.runner.sentence_simplification; - -import com.typesafe.config.Config; -import edu.stanford.nlp.trees.Tree; -import org.lambda3.text.simplification.discourse.runner.discourse_tree.Relation; -import org.lambda3.text.simplification.discourse.model.Element; -import org.lambda3.text.simplification.discourse.model.OutSentence; -import org.lambda3.text.simplification.discourse.model.SimpleContext; -import org.lambda3.text.simplification.discourse.runner.sentence_simplification.classification.ContextClassifier; -import org.lambda3.text.simplification.discourse.runner.sentence_simplification.classification.SimpleContextClassifier; -import org.lambda3.text.simplification.discourse.utils.parseTree.ParseTreeExtractionUtils; -import org.lambda3.text.simplification.discourse.utils.words.WordsUtils; -import org.lambda3.text.simplification.sentence.transformation.CoreContextSentence; -import org.lambda3.text.simplification.sentence.transformation.SentenceSimplifyingException; -import org.lambda3.text.simplification.sentence.transformation.Transformer; -import org.slf4j.Logger; -import org.slf4j.LoggerFactory; - -import java.util.ArrayList; -import java.util.Collections; -import java.util.List; -import java.util.stream.Collectors; - -public class SentenceSimplifier { - private static class Result { - private Tree core; - private List contexts; - - public Result(Tree core, List contexts) { - this.core = core; - this.contexts = contexts; - } - - public Tree getCore() { - return core; - } - - public List getContexts() { - return contexts; - } - } - - private final Logger logger = LoggerFactory.getLogger(this.getClass()); - private final ContextClassifier contextClassifier; - - private final Config config; - - public SentenceSimplifier(Config config) { - this.config = config; - this.contextClassifier = new SimpleContextClassifier(config); - } - - private Result simplify(Tree parseTree) { - Transformer transformer = new Transformer(); - CoreContextSentence s; - try { - s = transformer.simplify(WordsUtils.wordsToString(ParseTreeExtractionUtils.getContainingWords(parseTree))); //TODO change transformer to accept parsed tree - - Tree core = parseTree; - if ((s.getCore() != null) && (s.getCore().size() > 0) && (s.getCore().get(0) != null)) { - core = s.getCore().get(0); - } - - List contexts = Collections.emptyList(); - if (s.getContext() != null) { - contexts = s.getContext().stream().filter(c -> c != null).collect(Collectors.toList()); - } - - return new Result(core, contexts); - } catch (SentenceSimplifyingException e) { - logger.warn("Failed to simplify: \"{}\"", WordsUtils.wordsToString(ParseTreeExtractionUtils.getContainingWords(parseTree))); - return new Result(parseTree, Collections.emptyList()); - } - } - - private void simplifyContexts(Element element) { - - // simple contexts - List newSimpleContexts = new ArrayList<>(); - for (SimpleContext simpleContext : element.getSimpleContexts()) { - - // INTRA SENT ATTR - if (simpleContext.getRelation().equals(Relation.ATTRIBUTION)) { - Result r = simplify(simpleContext.getParseTree()); - simpleContext.setParseTree(r.getCore()); - for (Tree c : r.getContexts()) { - SimpleContext sc = new SimpleContext(c); - - // classify - contextClassifier.classify(sc); - - // add only if it is noun based - if (sc.getRelation().equals(Relation.NOUN_BASED)) { - newSimpleContexts.add(sc); - } - } - } - } - newSimpleContexts.forEach(c -> element.addSimpleContext(c)); - } - - public void doSentenceSimplification(OutSentence sentence) { - for (Element element : sentence.getElements()) { - Result r = simplify(element.getParseTree()); - - simplifyContexts(element); - - element.setParseTree(r.getCore()); - for (Tree c : r.getContexts()) { - SimpleContext simpleContext = new SimpleContext(c); - - // classify - contextClassifier.classify(simpleContext); - - // add simple context - element.addSimpleContext(simpleContext); - } - } - } -} diff --git a/src/main/java/org/lambda3/text/simplification/discourse/runner/sentence_simplification/classification/ClassificationResult.java b/src/main/java/org/lambda3/text/simplification/discourse/runner/sentence_simplification/classification/ClassificationResult.java deleted file mode 100644 index e3aef63..0000000 --- a/src/main/java/org/lambda3/text/simplification/discourse/runner/sentence_simplification/classification/ClassificationResult.java +++ /dev/null @@ -1,53 +0,0 @@ -/* - * ==========================License-Start============================= - * DiscourseSimplification : ClassificationResult - * - * Copyright © 2017 Lambda³ - * - * GNU General Public License 3 - * This program is free software: you can redistribute it and/or modify - * it under the terms of the GNU General Public License as published by - * the Free Software Foundation, either version 3 of the License, or - * (at your option) any later version. - * - * This program is distributed in the hope that it will be useful, - * but WITHOUT ANY WARRANTY; without even the implied warranty of - * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the - * GNU General Public License for more details. - * - * You should have received a copy of the GNU General Public License - * along with this program. If not, see http://www.gnu.org/licenses/. - * ==========================License-End============================== - */ - -package org.lambda3.text.simplification.discourse.runner.sentence_simplification.classification; - -import org.lambda3.text.simplification.discourse.runner.discourse_tree.Relation; -import org.lambda3.text.simplification.discourse.model.TimeInformation; - -import java.util.Optional; - -/** - * - */ -public class ClassificationResult { - private Relation relation; - private TimeInformation timeInformation; // optional - - public ClassificationResult(Relation relation) { - this.relation = relation; - this.timeInformation = null; - } - - public void setTimeInformation(TimeInformation timeInformation) { - this.timeInformation = timeInformation; - } - - public Relation getRelation() { - return relation; - } - - public Optional getTimeInformation() { - return Optional.ofNullable(timeInformation); - } -} diff --git a/src/main/java/org/lambda3/text/simplification/discourse/runner/sentence_simplification/classification/ContextClassifier.java b/src/main/java/org/lambda3/text/simplification/discourse/runner/sentence_simplification/classification/ContextClassifier.java deleted file mode 100644 index 7b6b707..0000000 --- a/src/main/java/org/lambda3/text/simplification/discourse/runner/sentence_simplification/classification/ContextClassifier.java +++ /dev/null @@ -1,32 +0,0 @@ -/* - * ==========================License-Start============================= - * DiscourseSimplification : ContextClassifier - * - * Copyright © 2017 Lambda³ - * - * GNU General Public License 3 - * This program is free software: you can redistribute it and/or modify - * it under the terms of the GNU General Public License as published by - * the Free Software Foundation, either version 3 of the License, or - * (at your option) any later version. - * - * This program is distributed in the hope that it will be useful, - * but WITHOUT ANY WARRANTY; without even the implied warranty of - * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the - * GNU General Public License for more details. - * - * You should have received a copy of the GNU General Public License - * along with this program. If not, see http://www.gnu.org/licenses/. - * ==========================License-End============================== - */ - -package org.lambda3.text.simplification.discourse.runner.sentence_simplification.classification; - -import org.lambda3.text.simplification.discourse.model.SimpleContext; - -/** - * - */ -public interface ContextClassifier { - void classify(SimpleContext simpleContext); -} diff --git a/src/main/java/org/lambda3/text/simplification/discourse/runner/sentence_simplification/classification/ExtContextClassifier.java b/src/main/java/org/lambda3/text/simplification/discourse/runner/sentence_simplification/classification/ExtContextClassifier.java deleted file mode 100644 index 03199df..0000000 --- a/src/main/java/org/lambda3/text/simplification/discourse/runner/sentence_simplification/classification/ExtContextClassifier.java +++ /dev/null @@ -1,166 +0,0 @@ -/* - * ==========================License-Start============================= - * DiscourseSimplification : ExtContextClassifier - * - * Copyright © 2017 Lambda³ - * - * GNU General Public License 3 - * This program is free software: you can redistribute it and/or modify - * it under the terms of the GNU General Public License as published by - * the Free Software Foundation, either version 3 of the License, or - * (at your option) any later version. - * - * This program is distributed in the hope that it will be useful, - * but WITHOUT ANY WARRANTY; without even the implied warranty of - * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the - * GNU General Public License for more details. - * - * You should have received a copy of the GNU General Public License - * along with this program. If not, see http://www.gnu.org/licenses/. - * ==========================License-End============================== - */ - -package org.lambda3.text.simplification.discourse.runner.sentence_simplification.classification; - -import com.typesafe.config.Config; -import edu.stanford.nlp.ling.Word; -import edu.stanford.nlp.pipeline.Annotation; -import edu.stanford.nlp.pipeline.AnnotationPipeline; -import edu.stanford.nlp.pipeline.TokenizerAnnotator; -import edu.stanford.nlp.time.SUTime; -import edu.stanford.nlp.time.TimeAnnotations; -import edu.stanford.nlp.time.TimeAnnotator; -import edu.stanford.nlp.time.TimeExpression; -import edu.stanford.nlp.util.CoreMap; -import org.lambda3.text.simplification.discourse.model.SimpleContext; -import org.lambda3.text.simplification.discourse.model.TimeInformation; -import org.lambda3.text.simplification.discourse.runner.discourse_tree.Relation; -import org.lambda3.text.simplification.discourse.runner.discourse_tree.classification.CuePhraseClassifier; -import org.lambda3.text.simplification.discourse.utils.ner.NERString; -import org.lambda3.text.simplification.discourse.utils.ner.NERStringParser; -import org.lambda3.text.simplification.discourse.utils.parseTree.ParseTreeExtractionUtils; -import org.lambda3.text.simplification.discourse.utils.words.WordsUtils; -import org.slf4j.Logger; -import org.slf4j.LoggerFactory; - -import java.util.List; -import java.util.Optional; -import java.util.Properties; - -public class ExtContextClassifier implements ContextClassifier { - private static final Logger LOG = LoggerFactory.getLogger(ExtContextClassifier.class); - - private static final Properties PROPS = new Properties(); - private static final AnnotationPipeline PIPELINE = new AnnotationPipeline(); - static { - PIPELINE.addAnnotator(new TokenizerAnnotator(false)); - PIPELINE.addAnnotator(new TimeAnnotator("sutime", PROPS)); - } - - private final CuePhraseClassifier cuePhraseClassifier; - - public ExtContextClassifier(Config config) { - this.cuePhraseClassifier = new CuePhraseClassifier(config); - } - - private boolean checkTemporal(SimpleContext simpleContext) { - - // use first 10 words as cue phrase - List cuePhraseWords = ParseTreeExtractionUtils.getContainingWords(simpleContext.getPhrase()); - if (cuePhraseWords.size() > 10) { - cuePhraseWords = cuePhraseWords.subList(0, 10); - } - String cuePhrase = WordsUtils.wordsToString(cuePhraseWords); - - Annotation annotation = new Annotation(cuePhrase); -// annotation.set(CoreAnnotations.DocDateAnnotation.class, "2013-07-14"); // not yet supported by Graphene - PIPELINE.annotate(annotation); - List timexAnnsAll = annotation.get(TimeAnnotations.TimexAnnotations.class); - - // only fetch first occurrence - if (timexAnnsAll.size() > 0) { - CoreMap cm = timexAnnsAll.get(0); - SUTime.Temporal temporal = cm.get(TimeExpression.Annotation.class).getTemporal(); - - Relation relation = Relation.TEMPORAL; - switch (temporal.getTimexType()) { - case TIME: - relation = Relation.TEMPORAL_TIME; - break; - case DURATION: - relation = Relation.TEMPORAL_DURATION; - break; - case DATE: - relation = Relation.TEMPORAL_DATE; - break; - case SET: - relation = Relation.TEMPORAL_SET; - break; - } - - simpleContext.setRelation(relation); - simpleContext.setTimeInformation(new TimeInformation(temporal.getTimexValue())); - - return true; - } - - return false; - } - - private boolean checkSpatial(SimpleContext simpleContext) { - - // use first 10 words as cue phrase - List cuePhraseWords = ParseTreeExtractionUtils.getContainingWords(simpleContext.getPhrase()); - if (cuePhraseWords.size() > 10) { - cuePhraseWords = cuePhraseWords.subList(0, 10); - } - String cuePhrase = WordsUtils.wordsToString(cuePhraseWords); - - NERString ner = NERStringParser.parse(cuePhrase); - - if (ner.getTokens().stream().anyMatch(t -> t.getCategory().equals("LOCATION"))) { - simpleContext.setRelation(Relation.SPATIAL); - return true; - } - - return false; - } - - private boolean checkCues(SimpleContext simpleContext) { - - // use first 3 words as cue phrase - List cuePhraseWords = ParseTreeExtractionUtils.getContainingWords(simpleContext.getPhrase()); - if (cuePhraseWords.size() > 3) { - cuePhraseWords = cuePhraseWords.subList(0, 3); - } - String cuePhrase = WordsUtils.wordsToString(cuePhraseWords); - - Optional relation = cuePhraseClassifier.classifySubordinating(cuePhrase); - if (relation.isPresent()) { - simpleContext.setRelation(relation.get()); - return true; - } - - return false; - } - - @Override - public void classify(SimpleContext simpleContext) { - - // CUE - if (checkCues(simpleContext)) { - return; - } - - // TEMPORAL - if (checkTemporal(simpleContext)) { - return; - } - - // SPATIAL - if (checkSpatial(simpleContext)) { - return; - } - } - -} diff --git a/src/main/java/org/lambda3/text/simplification/discourse/runner/sentence_simplification/classification/SimpleContextClassifier.java b/src/main/java/org/lambda3/text/simplification/discourse/runner/sentence_simplification/classification/SimpleContextClassifier.java deleted file mode 100644 index 7163b38..0000000 --- a/src/main/java/org/lambda3/text/simplification/discourse/runner/sentence_simplification/classification/SimpleContextClassifier.java +++ /dev/null @@ -1,163 +0,0 @@ -/* - * ==========================License-Start============================= - * DiscourseSimplification : SimpleContextClassifier - * - * Copyright © 2017 Lambda³ - * - * GNU General Public License 3 - * This program is free software: you can redistribute it and/or modify - * it under the terms of the GNU General Public License as published by - * the Free Software Foundation, either version 3 of the License, or - * (at your option) any later version. - * - * This program is distributed in the hope that it will be useful, - * but WITHOUT ANY WARRANTY; without even the implied warranty of - * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the - * GNU General Public License for more details. - * - * You should have received a copy of the GNU General Public License - * along with this program. If not, see http://www.gnu.org/licenses/. - * ==========================License-End============================== - */ - -package org.lambda3.text.simplification.discourse.runner.sentence_simplification.classification; - -import com.typesafe.config.Config; -import edu.stanford.nlp.ling.Word; -import org.lambda3.text.simplification.discourse.model.SimpleContext; -import org.lambda3.text.simplification.discourse.runner.discourse_tree.Relation; -import org.lambda3.text.simplification.discourse.runner.discourse_tree.classification.CuePhraseClassifier; -import org.lambda3.text.simplification.discourse.utils.ner.NERString; -import org.lambda3.text.simplification.discourse.utils.ner.NERStringParser; -import org.lambda3.text.simplification.discourse.utils.parseTree.ParseTreeExtractionUtils; -import org.lambda3.text.simplification.discourse.utils.words.WordsUtils; -import org.slf4j.Logger; -import org.slf4j.LoggerFactory; - -import java.util.List; -import java.util.Optional; -import java.util.stream.Collectors; -import java.util.stream.Stream; - -public class SimpleContextClassifier implements ContextClassifier { - private static final Logger LOG = LoggerFactory.getLogger(SimpleContextClassifier.class); - - private static final String PATTERN_PREFIX = "^(?i:.*(? MONTH_PATTERNS = Stream.of( - "january", "jan\\.", - "february", "feb\\.", - "march", "mar\\.", - "april", "apr\\.", - "may", - "june", - "july", - "august", "aug\\.", - "september", "sept\\.", - "october", "oct\\.", - "november", "nov\\.", - "december", "dec\\." - ).map(p -> PATTERN_PREFIX + p + PATTERN_SUFFIX).collect(Collectors.toList()); - - private static final List DAY_PATTERNS = Stream.of( - "today", "yesterday", - "monday", "mon\\.", - "tuesday", "tues\\.", - "wednesday", "wed\\.", - "thursday", "thurs\\.", - "friday", "fri\\.", - "saturday", "sat\\.", - "sunday", "sun\\." - ).map(p -> PATTERN_PREFIX + p + PATTERN_SUFFIX).collect(Collectors.toList()); - - private static final String YEAR_PATTERN = PATTERN_PREFIX + "[1-2]\\d\\d\\d" + PATTERN_SUFFIX; - private static final String BC_AD_PATTERN = PATTERN_PREFIX + "(\\d+\\s+(bc|ad)|ad\\s+\\d+)" + PATTERN_SUFFIX; - private static final String CENTURY_PATTERN = PATTERN_PREFIX + "(1st|2nd|3rd|\\d+th)\\s+century" + PATTERN_SUFFIX; - private static final String TIME_PATTERN = PATTERN_PREFIX + "([0-1]?\\d|2[0-4])\\s*:\\s*[0-5]\\d" + PATTERN_SUFFIX; - - private final CuePhraseClassifier cuePhraseClassifier; - - public SimpleContextClassifier(Config config) { - this.cuePhraseClassifier = new CuePhraseClassifier(config); - } - - private boolean checkTemporal(SimpleContext simpleContext) { - - // use first 10 words as cue phrase - List cuePhraseWords = ParseTreeExtractionUtils.getContainingWords(simpleContext.getPhrase()); - if (cuePhraseWords.size() > 10) { - cuePhraseWords = cuePhraseWords.subList(0, 10); - } - String cuePhrase = WordsUtils.wordsToString(cuePhraseWords); - - if ((MONTH_PATTERNS.stream().anyMatch(cuePhrase::matches)) - || (DAY_PATTERNS.stream().anyMatch(cuePhrase::matches)) - || (cuePhrase.matches(YEAR_PATTERN)) - || (cuePhrase.matches(BC_AD_PATTERN)) - || (cuePhrase.matches(CENTURY_PATTERN)) - || (cuePhrase.matches(TIME_PATTERN))) { - - simpleContext.setRelation(Relation.TEMPORAL); - return true; - } - - return false; - } - - private boolean checkSpatial(SimpleContext simpleContext) { - - // use first 10 words as cue phrase - List cuePhraseWords = ParseTreeExtractionUtils.getContainingWords(simpleContext.getPhrase()); - if (cuePhraseWords.size() > 10) { - cuePhraseWords = cuePhraseWords.subList(0, 10); - } - String cuePhrase = WordsUtils.wordsToString(cuePhraseWords); - - NERString ner = NERStringParser.parse(cuePhrase); - - if (ner.getTokens().stream().anyMatch(t -> t.getCategory().equals("LOCATION"))) { - simpleContext.setRelation(Relation.SPATIAL); - return true; - } - - return false; - } - - private boolean checkCues(SimpleContext simpleContext) { - - // use first 3 words as cue phrase - List cuePhraseWords = ParseTreeExtractionUtils.getContainingWords(simpleContext.getPhrase()); - if (cuePhraseWords.size() > 3) { - cuePhraseWords = cuePhraseWords.subList(0, 3); - } - String cuePhrase = WordsUtils.wordsToString(cuePhraseWords); - - Optional relation = cuePhraseClassifier.classifySubordinating(cuePhrase); - if (relation.isPresent()) { - simpleContext.setRelation(relation.get()); - return true; - } - - return false; - } - - @Override - public void classify(SimpleContext simpleContext) { - - // CUE - if (checkCues(simpleContext)) { - return; - } - - // TEMPORAL - if (checkTemporal(simpleContext)) { - return; - } - - // SPATIAL - if (checkSpatial(simpleContext)) { - return; - } - } -} diff --git a/src/main/java/org/lambda3/text/simplification/discourse/utils/words/WordsUtils.java b/src/main/java/org/lambda3/text/simplification/discourse/utils/words/WordsUtils.java index b9a781e..ba65020 100644 --- a/src/main/java/org/lambda3/text/simplification/discourse/utils/words/WordsUtils.java +++ b/src/main/java/org/lambda3/text/simplification/discourse/utils/words/WordsUtils.java @@ -28,7 +28,6 @@ import edu.stanford.nlp.process.CoreLabelTokenFactory; import edu.stanford.nlp.process.PTBTokenizer; import edu.stanford.nlp.simple.Sentence; -import org.lambda3.text.simplification.sentence.transformation.Core; import java.io.StringReader; import java.util.ArrayList; diff --git a/src/main/resources/reference.conf b/src/main/resources/reference.conf index 018730b..7251e3f 100644 --- a/src/main/resources/reference.conf +++ b/src/main/resources/reference.conf @@ -8,33 +8,24 @@ discourse-simplification { org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules.ReferenceMedialAdverbialExtractor, org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules.ReferenceFinalAdverbialExtractor, org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules.CoordinationExtractor, -<<<<<<< HEAD - - - + org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules.NonRestrictiveRelativeClauseWhomExtractor, org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules.NonRestrictiveRelativeClauseWhoWhichExtractor, org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules.NonRestrictiveRelativeClauseWhereExtractor, org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules.NonRestrictiveRelativeClausePrepWhichWhoExtractor, org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules.NonRestrictiveRelativeClauseWhoseExtractor, - + org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules.RestrictiveAppositionExtractor, //org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules.NonRestrictiveAppositionExtractorEntityFirst, org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules.NonRestrictiveAppositionExtractor, //org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules.NonRestrictiveAppositionExtractorFinal, //org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules.NonRestrictiveAppositionExtractorEntitySecondFinal, -======= ->>>>>>> d4d938f9778712a34ecc3e3335094b9e92a9c746 org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules.PurposePreExtractor, org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules.SubordinationPrePurposeExtractor, org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules.SharedNPPreParticipalExtractor, org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules.SubordinationPreExtractor, -<<<<<<< HEAD - -======= ->>>>>>> d4d938f9778712a34ecc3e3335094b9e92a9c746 org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules.SharedNPPostCoordinationExtractor, org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules.SharedNPPostParticipalExtractor, org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules.SubordinationPostPurposeExtractor, @@ -45,32 +36,28 @@ discourse-simplification { org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules.SubordinationPostAttributionExtractor, org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules.SubordinationPostExtractor, org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules.QuotedAttributionPreExtractor, -<<<<<<< HEAD org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules.PreAttributionExtractor, - + org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules.ParticipialMiddleExtractor, - + org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules.RestrictiveRelativeClauseWhoWhichExtractor, org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules.RestrictiveRelativeClauseWhoseExtractor, org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules.RestrictiveRelativeClauseWithoutRelativePronounExtractor, org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules.RestrictiveRelativeClauseWhomExtractor, - + org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules.PrepositionalAttachedtoVPExtractor, - + org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules.RestrictiveParticipialExtractor, - + org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules.AdjectivalAdverbialMiddleFinalExtractor, org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules.AdjectivalAdverbialInitialExtractor, //org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules.AdjectivalAdverbialFinalExtractor, - + org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules.LeadNPExtractor, - + org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules.PrepositionalInitialExtractor, org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules.PrepositionalMiddleFinalExtractor, //org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules.PrepositionalFinalExtractor, -======= - org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules.PreAttributionExtractor ->>>>>>> d4d938f9778712a34ecc3e3335094b9e92a9c746 // should be applied last (because they dont allow further splitting) org.lambda3.text.simplification.discourse.runner.discourse_tree.extraction.rules.ListNP.PreListNPExtractor, @@ -81,10 +68,5 @@ discourse-simplification { ] attribution_verbs = ${attribution_verbs} cue_phrases = ${cue_phrases} -<<<<<<< HEAD - with-sentence-simplification = false -======= - with-sentence-simplification = true ->>>>>>> d4d938f9778712a34ecc3e3335094b9e92a9c746 remove-brackets = false -} +} \ No newline at end of file