盒子
盒子
文章目录
  1. ——Deep Learning Summer School 2017
    1. Chence Shi/Yuanzheng Tao/Liangchuan Zou/Zirui Wang

Machine Reading Comprehension

——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*

7.Pointer Networks*

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*