An analysis of selectional restrictions with dependent type semantics

Eriko Kinoshita, Koji Mineshima, Daisuke Bekki

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

Abstract

Predicates in natural languages impose selectional restrictions on their arguments. In this paper, we analyze selectional restrictions of predicates within the framework of Dependent Type Semantics, a framework of natural language semantics based on dependent type theory. We also introduce operators that shift the meanings of predicates and analyze two phenomena, coercion and copredication for logical polysemous nouns, that present challenges to simple analysis of selectional restrictions.

Original languageEnglish
Title of host publicationNew Frontiers in Artificial Intelligence - JSAI-isAI 2016 Workshops, LENLS HAT-MASH, AI-Biz, JURISIN and SKL, 2016
EditorsSachiyo Arai, Ken Satoh, Daisuke Bekki, Setsuya Kurahashi, Yuiko Ohta
PublisherSpringer Verlag
Pages19-32
Number of pages14
ISBN (Print)9783319615714
DOIs
Publication statusPublished - 2017 Jan 1
Externally publishedYes
Event8th JSAI International Symposium on AI, JSAI-isAI 2016 - Yokohama, Japan
Duration: 2016 Nov 142016 Nov 16

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10247 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference8th JSAI International Symposium on AI, JSAI-isAI 2016
CountryJapan
CityYokohama
Period16/11/1416/11/16

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Kinoshita, E., Mineshima, K., & Bekki, D. (2017). An analysis of selectional restrictions with dependent type semantics. In S. Arai, K. Satoh, D. Bekki, S. Kurahashi, & Y. Ohta (Eds.), New Frontiers in Artificial Intelligence - JSAI-isAI 2016 Workshops, LENLS HAT-MASH, AI-Biz, JURISIN and SKL, 2016 (pp. 19-32). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10247 LNAI). Springer Verlag. https://doi.org/10.1007/978-3-319-61572-1_2