机器阅读理解模型发展

机器阅读理解模型发展解读

 

1.Retrospective Reader for Machine Reading Comprehension Zhuosheng

机器阅读理解Retrospective Reader的解析 - 知乎 (zhihu.com)

Retrospective Reader for Machine Reading Comprehension

 

2.Enhancing Pre-Trained Language Representations with Rich Knowledge for MRC

ACL2019 | Enhancing Pre-Trained Language Representations with Rich Knowledge for Machine Reading Comprehension | Luxi Xing - Blog (xingluxi.github.io)

【论文笔记】Enhancing Pre-Trained Language Representations with Rich Knowledge for MRC_changreal的博客-CSDN博客

ACL 2019论文分享：百度阅读理解知识和文本融合模型KTNET_weixin_39605840的博客-CSDN博客

3.Heterogeneous Graph Neural Network

【论文解读 KDD 2019 | HetGNN】Heterogeneous Graph Neural Network

HetGNN-Heterogeneous Graph Neural Network 异构图神经网络 KDD2019

4.Learn to Retrieve Reasoning Paths Over Wikipedia Graph Question Answering

Retrieve Reasoning Paths over Wikipedia Graph