01_机器阅读论文及代码 - RamonYeung/ZJU-NLP GitHub Wiki

参考实施：

1. Machine Comprehension Using Match-LSTM and Answer Pointer(Match-LSTM)

1）https://github.com/baidu/DuReader/

2）https://github.com/fuhuamosi/MatchLstm

3）https://github.com/xingdi-eric-yuan/MatchLSTM-PyTorch

4）https://github.com/MurtyShikhar/Question-Answering

2. Bidirectional Attention Flow for Machine Comprehension(BIDAF)

1）https://github.com/baidu/DuReader/

2）https://github.com/allenai/bi-att-flow

3）https://github.com/jojonki/BiDAF

3. R-NET: MACHINE READING COMPREHENSION WITH SELF-MATCHING NETWORKS(R-net)

1）https://github.com/minsangkim142/R-net

2）https://github.com/HKUST-KnowComp/R-Net

3）https://github.com/matthew-z/R-net

4）https://github.com/YerevaNN/R-NET-in-Keras