——Deep Learning Summer School 2017
Chence Shi/Yuanzheng Tao/Liangchuan Zou/Zirui Wang
1.R-NET: MACHINE READING COMPREHENSION WITH SELF-MATCHING NETWORKS
2.Learning Natural Language Inference with LSTM
3.MACHINE COMPREHENSION USING MATCH-LSTM AND ANSWER POINTER
4.Question Answering on the SQuAD Dataset
5.BI-DIRECTIONAL ATTENTION FLOW FOR MACHINE COMPREHENSION
6.NEURAL MACHINE TRANSLATION BY JOINTLY LEARNING TO ALIGN AND TRANSLATE*
8.REASONING ABOUT ENTAILMENT WITH NEURAL ATTENTION
9.Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation*
10.ReasoNet: Learning to Stop Reading in Machine Comprehension
11.Sequence to Sequence Learning with Neural Networks*
12.End-To-End Memory Networks*