Precise Information Retrieval Exploiting Predicate-Argument Structures

Daisuke Kawahara, Keiji Shinzato, Tomohide Shibata, Sadao Kurohashi

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

4 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publication6th International Joint Conference on Natural Language Processing, IJCNLP 2013 - Proceedings of the Main Conference
EditorsRuslan Mitkov, Jong C. Park
PublisherAsian Federation of Natural Language Processing
Pages37-45
Number of pages9
ISBN (Electronic)9784990734800
Publication statusPublished - 2013
Event6th International Joint Conference on Natural Language Processing, IJCNLP 2013 - Nagoya, Japan
Duration: 2013 Oct 14 → …

Publication series

Name6th 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
Country/TerritoryJapan
CityNagoya
Period13/10/14 → …

ASJC Scopus subject areas

  • Artificial Intelligence
  • Software

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