QA Is the New KR: Question-Answer Pairs as Knowledge Bases

Wenhu Chen; William W. Cohen; Michiel De Jong; Nitish Gupta; Alessandro Presta; Pat Verga; John Wieting

QA Is the New KR: Question-Answer Pairs as Knowledge Bases

Artificial Intelligence 2022-07-05 v1

Authors: Wenhu Chen , William W. Cohen , Michiel De Jong , Nitish Gupta , Alessandro Presta , Pat Verga , John Wieting

Abstract

In this position paper, we propose a new approach to generating a type of knowledge base (KB) from text, based on question generation and entity linking. We argue that the proposed type of KB has many of the key advantages of a traditional symbolic KB: in particular, it consists of small modular components, which can be combined compositionally to answer complex queries, including relational queries and queries involving "multi-hop" inferences. However, unlike a traditional KB, this information store is well-aligned with common user information needs.

Keywords

question answering knowledge graph relational database

Cite

@article{arxiv.2207.00630,
  title  = {QA Is the New KR: Question-Answer Pairs as Knowledge Bases},
  author = {Wenhu Chen and William W. Cohen and Michiel De Jong and Nitish Gupta and Alessandro Presta and Pat Verga and John Wieting},
  journal= {arXiv preprint arXiv:2207.00630},
  year   = {2022}
}

QA Is the New KR: Question-Answer Pairs as Knowledge Bases

Abstract

Keywords

Cite

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