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

2022-07-01 19:09:08
Wenhu Chen, William W. Cohen, Michiel De Jong, Nitish Gupta, Alessandro Presta, Pat Verga, John Wieting
arXiv_AI
           
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.

Abstract (translated)

URL

https://arxiv.org/abs/2207.00630

PDF

https://arxiv.org/pdf/2207.00630.pdf

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