Precise Information Retrieval Exploiting Predicate-Argument Structures

Daisuke Kawahara, Keiji Shinzato, Tomohide Shibata, Sadao Kurohashi

研究成果: Conference contribution

4 被引用数 (Scopus)

抄録

A concept can be linguistically expressed in various syntactic constructions. Such syntactic variations spoil the effectiveness of incorporating dependencies between words into information retrieval systems. This paper presents an information retrieval method for normalizing syntactic variations via predicate-argument structures. We conduct experiments on standard test collections and show the effectiveness of our approach. Our proposed method significantly outperforms a baseline method based on word dependencies.

本文言語English
ホスト出版物のタイトル6th International Joint Conference on Natural Language Processing, IJCNLP 2013 - Proceedings of the Main Conference
編集者Ruslan Mitkov, Jong C. Park
出版社Asian Federation of Natural Language Processing
ページ37-45
ページ数9
ISBN(電子版)9784990734800
出版ステータスPublished - 2013
外部発表はい
イベント6th International Joint Conference on Natural Language Processing, IJCNLP 2013 - Nagoya, Japan
継続期間: 2013 10月 14 → …

出版物シリーズ

名前6th International Joint Conference on Natural Language Processing, IJCNLP 2013 - Proceedings of the Main Conference

Conference

Conference6th International Joint Conference on Natural Language Processing, IJCNLP 2013
国/地域Japan
CityNagoya
Period13/10/14 → …

ASJC Scopus subject areas

  • 人工知能
  • ソフトウェア

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