Add bert link to release1.3 (#1831)

PaddlePaddle · Mar 5, 2019 · a8976f5 · a8976f5
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diff --git a/.gitmodules b/.gitmodules
@@ -7,3 +7,6 @@
 [submodule "fluid/PaddleNLP/Senta"]
 	path = fluid/PaddleNLP/Senta
 	url = https://github.com/baidu/Senta.git
+[submodule "fluid/PaddleNLP/LARK"]
+	path = fluid/PaddleNLP/LARK
+	url = https://github.com/PaddlePaddle/LARK
diff --git a/README.md b/README.md
@@ -44,6 +44,7 @@ PaddlePaddle 提供了丰富的计算单元，使得用户可以采用模块化
 模型|简介|模型优势|参考论文
 --|:--:|:--:|:--:
 [Transformer](./fluid/PaddleNLP/neural_machine_translation/transformer/README_cn.md)|机器翻译模型|基于self-attention，计算复杂度小，并行度高，容易学习长程依赖，翻译效果更好|[Attention Is All You Need](https://arxiv.org/abs/1706.03762)
+[BERT](https://github.com/PaddlePaddle/LARK/tree/develop/BERT)|语义表示模型|在多个 NLP 任务上取得 SOTA 效果，支持多卡多机训练，支持混合精度训练|[BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding](https://arxiv.org/abs/1810.04805)
 [LAC](https://github.com/baidu/lac/blob/master/README.md)|联合的词法分析模型|能够整体性地完成中文分词、词性标注、专名识别任务|[Chinese Lexical Analysis with Deep Bi-GRU-CRF Network](https://arxiv.org/abs/1807.01882)
 [Senta](https://github.com/baidu/Senta/blob/master/README.md)|情感倾向分析模型集|百度AI开放平台中情感倾向分析模型|-
 [DAM](./fluid/PaddleNLP/deep_attention_matching_net)|语义匹配模型|百度自然语言处理部发表于ACL-2018的工作,用于检索式聊天机器人多轮对话中应答的选择|[Multi-Turn Response Selection for Chatbots with Deep Attention Matching Network](http://aclweb.org/anthology/P18-1103)

diff --git a/fluid/PaddleNLP/LARK b/fluid/PaddleNLP/LARK