fastNLP/reproduction/text_classification/README.md

text_classification任务模型复现

这里使用fastNLP复现以下模型：

char_cnn :论文链接Character-level Convolutional Networks for Text Classification

dpcnn:论文链接Deep Pyramid Convolutional Neural Networks for TextCategorization

HAN:论文链接Hierarchical Attention Networks for Document Classification

LSTM+self_attention:论文链接A Structured Self-attentive Sentence Embedding

AWD-LSTM:论文链接Regularizing and Optimizing LSTM Language Models

数据集及复现结果汇总

使用fastNLP复现的结果vs论文汇报结果(/前为fastNLP实现，后面为论文报道,-表示论文没有在该数据集上列出结果)

model name	yelp_p	yelp_f	sst-2	IMDB
char_cnn	93.80/95.12	-	-	-
dpcnn	95.50/97.36	-	-	-
HAN	-	-	-	-
LSTM	95.74/-	64.16/-	-	88.52/-
AWD-LSTM	95.96/-	64.74/-	-	88.91/-
LSTM+self_attention	96.34/-	65.78/-	-	89.53/-