HicSuntLeones

HopRetriever:Retrieve Hops over Wikipedia to Answer Complex Questions ; Shaobo Li, Xiaoguang Li, Lifeng Shang, Xin Jiang,Qun Liu, Chengjie Sun, Zhenzhou Ji, Bingquan Liu; Harbin Institute of Technology; Huawei Noah’s Ark Lab原文：https://arxiv.org/pdf/201.

Neural Module Networks for Reasoning over Text ; Nitish Gupta, Kevin Lin, Dan Roth, Sameer Singh & Matt Gardner; University of Pennsylvania, Philadelphia, University of California, Berkeley, University of California, Irvine, Allen Institute for AI原文.

Zhiting Hu, Xuezhe Ma, Zhengzhong Liu, Eduard Hovy, Eric P. Xing, School of Computer Science, Carnegie Mellon University ; Harnessing Deep Neural Networks with Logic Rules原文：https://arxiv.org/pdf/1603.06318v6.pdf源码：（更贴切来说是一个官方应用案例）https://github.com/Zhi.

Yuwei Fang, Siqi Sun, Zhe Gan, Rohit Pillai, Shuohang Wang, Jingjing LiuMicrosoft Dynamics 365 AI Research; Hierarchical Graph Network for Multi-hop Question Answering原文：https://arxiv.org/pdf/1911.03631.pdf源码：https://github.com/yuwfan/HGN （official **.

Wei Wu, Fei Wang, Arianna Yuan, Fei Wu and Jiwei Li, Department of Computer Science and Technology, Zhejiang University Computer Science Department, Stanford University, ShannonAI; CorefQA: Coreference Resolution as Query-based Span Prediction论文原文：https.

Yichen Jiang, Nitish Joshi, Yen-Chun Chen Mohit Bansal ; UNC Chapel Hill Explore, Propose, and Assemble: An Interpretable Model for Multi-Hop Reading Comprehension论文原文：https://arxiv.org/pdf/1906.05210.pdf源码：https://github.com/jiangycTarheel/EPAr文章目录.

Zhuosheng Zhang, Junjie Yang, Hai Zhao, Department of Computer Science and Engineering, Shanghai Jiao Tong University, Retrospective Reader for Machine Reading Comprehension论文原文：https://arxiv.org/pdf/2001.09694v4.pdf源码：https://github.com/cooelf/Awesome.

Chao Wang and Hui Jiang, Department of Electrical Engineering and Computer Science, Lassonde School of Engineering, York University, Explicit Utilization of General Knowledge in Machine Reading Comprehension论文原文：https://arxiv.org/pdf/1809.03449v3.pdf.

Yilin Niu, Fangkai Jiao, Mantong Zhou, Ting Yao, Jingfang Xu, Minlie Huang, A Self-Training Method for Machine Reading Comprehension with Soft Evidence Extraction论文原文：https://arxiv.org/pdf/2005.05189.pdf源代码：https://github.com/SparkJiao/Self-Training-MR.

guaZhijiang Guo, Yan Zhang and Wei Lu, StatNLP Research Group, Singapore University of Technology and Design; Attention Guided Graph Convolutional Networks for Relation Extraction论文原文：https://arxiv.org/pdf/1906.07510v8.pdf源码：https://github.com/Cartus/

An Yang, Quan Wang, Jing Liu, Kai Liu, Yajuan Lyu, Hua Wu, Qiaoqiao She and Sujian Li; Key Laboratory of Computational Linguistics, Peking University, MOE, China, Baidu Inc., Beijing, China; Enhancing Pre-Trained Language Representations with Rich Knowle.

Ming Tu, Guangtao Wang, Jing Huang, Yun Tang, Xiaodong He, Bowen ZhouJD AI Research; Multi-hop Reading Comprehension across Multiple Documents by Reasoning over Heterogeneous Graphs论文原文：https://arxiv.org/pdf/1905.07374v2.pdf源码：https://github.com/JD-A.

Ming Ding, Chang Zhou, Qibin Chen, Hongxia Yang, Jie Tang, Department of Computer Science and Technology, Tsinghua University, DAMO Academy, Alibaba GroupCognitive Graph for Multi-Hop Reading Comprehension at Scale论文原文：https://arxiv.org/pdf/1905.05460v.

Minghao Hu, Yuxing Peng, Zhen Huang, Dongsheng Li, National University of Defense Technology, Changsha, China (ACL19) Retrieve, Read, Rerank: Towards End-to-End Multi-Document Reading Comprehension原论文：https://arxiv.org/pdf/1906.04618.pdf源码：https://gith.