Knowledge-based MRC Papers

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A list of recent papers with respect to Knowledge-based Machine Reading Comprehension.

This is the old collection version, please go to link for the latest version.

Works on Knowledge-aware MRC

Conf. Title Authors/Org. Note
ACL
2017		 Leveraging knowledge bases in lstms for improving machine reading Yang, et al.
CMU
ACL
2017		 Reasoning with Heterogeneous Knowledge for Commonsense Machine Comprehension Hongyu Lin, et al.
ACL
2017		 World knowledge for reading comprehension: Rare entity prediction with hierarchical lstms using external descriptions Long, et al.
McGill University
ACL
2018		 Knowledgeable Reader: Enhancing Cloze-Style Reading Comprehension with External Commonsense Knowledge Mihaylov, et al.
Heidelberg University		 knreader-note
2018 Dynamic Integration of Background Knowledge in Neural NLU Systems Dirk Weissenborn, et al. note
EMNLP
2018		 Commonsense for Generative Multi-Hop Question Answering Tasks Lisa Bauer mhpgm-note
AAAI
2018		 Incorporating Structured Commonsense Knowledge in Story Completion
(2018v1)
ACL
2019		 Exploring Machine Reading Comprehension with Explicit Knowledge
Explicit Utilization of General Knowledge in Machine Reading Comprehension		 York University note
ACL
2018		 Open Domain Question Answering Using Early Fusion of Knowledge Bases and Text CMU note
AAAI
2019		 Improving Question Answering by Commonsense-Based Pre-Training MSRA note
NAACL
2019		 Improving Machine Reading Comprehension with General Reading Strategies TencentAI Lab
2019 Improving Question Answering with External Knowledge note
CIKM
2019		 Incorporating Relation Knowledge into Commonsense Reading Comprehension with Multi-task Learning Alibaba
DAMO
ACL
2019		 Enhancing Pre-Trained Language Representations with Rich Knowledge for Machine Reading Comprehension PKU
Baidu		 note
EMNLP
2019		 KagNet: Knowledge-Aware Graph Networks for Commonsense Reasoning note
2019 Align, Mask and Select: A Simple Method for Incorporating Commonsense Knowledge into Language Representation Models Alibaba
DAMO
2019 Graph-Based Reasoning over Heterogeneous External Knowledge for Commonsense Question Answering MSRA note
2019 Exploring ways to incorporate additional knowledge to improve Natural Language Commonsense Question Answering Arizona State
University		 note
EMNLP
2019		 What’s Missing: A Knowledge Gap Guided Approach for Multi-hop Question Answering AI2 note

MRC with Knowledge

  • how to let the machine obtain Knowledge？
  • how to extract external knowledge?
  • how to represent knowledge？ in which kind of format？
  • how to fuse the external knowledge?
  • how to let the machine to learn Knowledge incrementally？
  • how to make the machine can automatically use Knowledge it already knows or it has been told？
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