A CCG-based compositional semantics and inference system for comparatives

Izumi Haruta, Koji Mineshima, Daisuke Bekki

Research output: Contribution to conferencePaper

Abstract

Comparative constructions play an important role in natural language inference. However, attempts to study semantic representations and logical inferences for comparatives from the computational perspective are not well devel- oped, due to the complexity of their syntactic structures and inference patterns. In this study, using a framework based on Combinatory Cat- egorial Grammar (CCG), we present a compo- sitional semantics that maps various compara- tive constructions in English to semantic rep- resentations, and introduce an inference sys- tem that effectively handles logical inference with comparatives, including those involving numeral adjectives, antonyms, and quantifica- tion. We evaluate the performance of our sys- tem on the FraCaS test suite and show that the system can handle a variety of complex logical inferences with comparatives.

Original languageEnglish
Pages47-56
Number of pages10
Publication statusPublished - 2019
Event33rd Pacific Asia Conference on Language, Information and Computation, PACLIC 2019 - Hakodate, Japan
Duration: 2019 Sep 132019 Sep 15

Conference

Conference33rd Pacific Asia Conference on Language, Information and Computation, PACLIC 2019
CountryJapan
CityHakodate
Period19/9/1319/9/15

ASJC Scopus subject areas

  • Language and Linguistics
  • Computer Science (miscellaneous)

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    Haruta, I., Mineshima, K., & Bekki, D. (2019). A CCG-based compositional semantics and inference system for comparatives. 47-56. Paper presented at 33rd Pacific Asia Conference on Language, Information and Computation, PACLIC 2019, Hakodate, Japan.