On-demand injection of lexical knowledge for recognising textual entailment

Pascual Martínez-Gómez, Koji Mineshima, Yusuke Miyao, Daisuke Bekki

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Citations (Scopus)

Abstract

We approach the recognition of textual entailment using logical semantic representations and a theorem prover. In this setup, lexical divergences that preserve semantic entailment between the source and target texts need to be explicitly stated. However, recognising subsentential semantic relations is not trivial. We address this problem by monitoring the proof of the theorem and detecting unprovable sub-goals that share predicate arguments with logical premises. If a linguistic relation exists, then an appropriate axiom is constructed on-demand and the theorem proving continues. Experiments show that this approach is effective and precise, producing a system that outperforms other logicbased systems and is competitive with state-of-the-art statistical methods.

Original languageEnglish
Title of host publicationLong Papers - Continued
PublisherAssociation for Computational Linguistics (ACL)
Pages710-720
Number of pages11
ISBN (Electronic)9781510838604
Publication statusPublished - 2017 Jan 1
Externally publishedYes
Event15th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2017 - Valencia, Spain
Duration: 2017 Apr 32017 Apr 7

Publication series

Name15th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2017 - Proceedings of Conference
Volume1

Conference

Conference15th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2017
CountrySpain
CityValencia
Period17/4/317/4/7

ASJC Scopus subject areas

  • Linguistics and Language
  • Language and Linguistics

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  • Cite this

    Martínez-Gómez, P., Mineshima, K., Miyao, Y., & Bekki, D. (2017). On-demand injection of lexical knowledge for recognising textual entailment. In Long Papers - Continued (pp. 710-720). (15th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2017 - Proceedings of Conference; Vol. 1). Association for Computational Linguistics (ACL).