Knowledge base question answering through recursive hypergraphs

Yadati, N and Dayanidhi, R and Vaishnavi, S and Indira, G and Srinidhi, G (2021) Knowledge base question answering through recursive hypergraphs. In: 16th Conference of the European Chapter of the Associationfor Computational Linguistics, EACL 2021, 19-23 Apr 2021, virtual, pp. 448-454.

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Abstract

Knowledge Base Question Answering (KBQA) is the problem of predicting an answer for a factoid question over a given knowledge base (KB). Answering questions typically requires reasoning over multiple links in the given KB. Humans tend to answer questions by grouping different objects to perform reasoning over acquired knowledge. Hypergraphs provide a natural tool to model group relationships. In this work, inspired by typical human intelligence, we propose a new method for KBQA based on hypergraphs. Existing methods for KBQA, though effective, do not explicitly incorporate the recursive relational group structure in the given KB. Our method, which we name RecHyperNet (Recursive Hypergraph Network), exploits a new way of modelling KBs through recursive hypergraphs to organise such group relationships in KBs. Experiments on multiple KBQA benchmarks demonstrate the effectiveness of the proposed RecHyperNet. We have released the code. © 2021 Association for Computational Linguistics

Item Type:	Conference Paper
Publication:	EACL 2021 - 16th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference
Publisher:	Association for Computational Linguistics (ACL)
Additional Information:	The copyright for this article belongs to Association for Computational Linguistics (ACL)
Keywords:	Computational linguistics; Knowledge based systems, Factoid questions; Group relationships; Group structure; Human intelligence; Knowledge base; Multiple links; Natural tools; Question Answering, Graph theory
Department/Centre:	Division of Electrical Sciences > Computer Science & Automation
Date Deposited:	25 Aug 2021 06:03
Last Modified:	25 Aug 2021 06:23
URI:	http://eprints.iisc.ac.in/id/eprint/69377

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