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
【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