Consistent CCG parsing over multiple sentences for improved logical reasoning

Masashi Yoshikawa, Koji Mineshima, Hiroshi Noji, Daisuke Bekki

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

Abstract

In formal logic-based approaches to Recognizing Textual Entailment (RTE), a Combinatory Categorial Grammar (CCG) parser is used to parse input premises and hypotheses to obtain their logical formulas. Here, it is important that the parser processes the sentences consistently; failing to recognize a similar syntactic structure results in inconsistent predicate argument structures among them, in which case the succeeding theorem proving is doomed to failure. In this work, we present a simple method to extend an existing CCG parser to parse a set of sentences consistently, which is achieved with an inter-sentence modeling with Markov Random Fields (MRF). When combined with existing logic-based systems, our method always shows improvement in the RTE experiments on English and Japanese languages.

Original languageEnglish
Title of host publicationShort Papers
PublisherAssociation for Computational Linguistics (ACL)
Pages407-412
Number of pages6
ISBN (Electronic)9781948087292
Publication statusPublished - 2018 Jan 1
Event2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL HLT 2018 - New Orleans, United States
Duration: 2018 Jun 12018 Jun 6

Publication series

NameNAACL HLT 2018 - 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies - Proceedings of the Conference
Volume2

Conference

Conference2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL HLT 2018
CountryUnited States
CityNew Orleans
Period18/6/118/6/6

ASJC Scopus subject areas

  • Linguistics and Language
  • Language and Linguistics
  • Computer Science Applications

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  • Cite this

    Yoshikawa, M., Mineshima, K., Noji, H., & Bekki, D. (2018). Consistent CCG parsing over multiple sentences for improved logical reasoning. In Short Papers (pp. 407-412). (NAACL HLT 2018 - 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies - Proceedings of the Conference; Vol. 2). Association for Computational Linguistics (ACL).