Building compositional semantics and higher-order inference system for a wide-coverage Japanese CCG parser

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

研究成果: Conference contribution

6 被引用数 (Scopus)

抄録

This paper presents a system that compositionally maps outputs of a wide-coverage Japanese CCG parser onto semantic representations and performs automated inference in higher-order logic. The system is evaluated on a textual entailment dataset. It is shown that the system solves inference problems that focus on a variety of complex linguistic phenomena, including those that are difficult to represent in the standard first-order logic.

本文言語English
ホスト出版物のタイトルEMNLP 2016 - Conference on Empirical Methods in Natural Language Processing, Proceedings
出版社Association for Computational Linguistics (ACL)
ページ2236-2242
ページ数7
ISBN(電子版)9781945626258
DOI
出版ステータスPublished - 2016
外部発表はい
イベント2016 Conference on Empirical Methods in Natural Language Processing, EMNLP 2016 - Austin, United States
継続期間: 2016 11 12016 11 5

出版物シリーズ

名前EMNLP 2016 - Conference on Empirical Methods in Natural Language Processing, Proceedings

Conference

Conference2016 Conference on Empirical Methods in Natural Language Processing, EMNLP 2016
CountryUnited States
CityAustin
Period16/11/116/11/5

ASJC Scopus subject areas

  • Computer Science Applications
  • Information Systems
  • Computational Theory and Mathematics

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引用スタイル