TD-BERT

.gitignore

@@ -1,3 +1,7 @@
+third_party
+state_dict
+
+
 __pycache__/
 *.dat
 *.h5
@@ -35,4 +39,4 @@ Thumbs.db
 *.class
 # generated files
 bin/
-gen/
+gen/

.ipynb_checkpoints/Untitled-checkpoint.ipynb

@@ -0,0 +1,6 @@
+{
+ "cells": [],
+ "metadata": {},
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

README.md

@@ -70,6 +70,9 @@ Xu, Hu, et al. "Bert post-training for review reading comprehension and aspect-b
 
 Sun, Chi, Luyao Huang, and Xipeng Qiu. "Utilizing bert for aspect-based sentiment analysis via constructing auxiliary sentence." arXiv preprint arXiv:1903.09588 (2019). [[pdf](https://arxiv.org/pdf/1903.09588.pdf)]
 
+### TD-BERT([td_bert.py](./models/td_bert.py))
+Z. Gao, A. Feng, X. Song and X. Wu, "Target-Dependent Sentiment Classification With BERT," in IEEE Access, vol. 7, pp. 154290-154299, 2019, doi: 10.1109/ACCESS.2019.2946594.[[pdf]](https://ieeexplore.ieee.org/abstract/document/8864964)
+
 ### LCF-BERT ([lcf_bert.py](./models/lcf_bert.py)) ([official](https://github.com/yangheng95/LCF-ABSA))
 
 Zeng Biqing, Yang Heng, et al. "LCF: A Local Context Focus Mechanism for Aspect-Based Sentiment Classification." Applied Sciences. 2019, 9, 3389. [[pdf]](https://www.mdpi.com/2076-3417/9/16/3389/pdf)

RESULTS.md

@@ -0,0 +1,25 @@
+# BERT_SPC
+## restaurant
+test_acc: 0.8554, test_f1: 0.7862
+## restaurant_random_rest_cate
+test_acc: 0.8554, test_f1: 0.7862
+## restaurant_random_rest
+test_acc: 0.8250, test_f1: 0.7357
+## restaurant_random_laptop
+test_acc: 0.8116, test_f1: 0.7039
+
+
+# BERT_SPC With Adversarial Training(0.5)
+## restaurant
+test_acc: 0.8134, test_f1: 0.7041
+## restaurant_random_rest
+## restaurant_random_laptop
+
+# BERT_SPC With Adversarial Training(1)
+## restaurant
+## restaurant_random_rest
+## restaurant_random_laptop
+
+# TD_BERT
+
+# ROBERTA-Base