Organizing information on the web through agreement-conflict relation classification

Junta Mizuno, Eric Nichols, Yotaro Watanabe, Kentaro Inui

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

1 Citation (Scopus)

Abstract

The vast amount of information on the Web makes it difficult for users to comprehensively survey the various viewpoints on topics of interest. To help users cope with this information overload, we have developed an Information Organization System that applies state-of-theart technology from Recognizing Textual Entailment to automatically detect Web texts that are relevant to natural language queries and organize them into agreeing and conflicting groups. Users are presented with a bird's-eye-view visualization of the viewpoints on their queries that makes it easier to gain a deeper understanding of an issue. In this paper, we describe the implementation of our Information Organization System and evaluate our system through empirical analysis of the semantic relation recognition system that classifies texts and through a large-scale usability study. The empirical evaluation and usability study both demonstrate the usefulness of our system. User feedback further shows that by exposing our users to differing viewpoints promotes objective thinking and helps to reduce confirmation bias.

Original languageEnglish
Title of host publicationInformation Retrieval Technology - 8th Asia Information Retrieval Societies Conference, AIRS 2012, Proceedings
Pages126-137
Number of pages12
DOIs
Publication statusPublished - 2012 Dec 31
Event8th Asia Information Retrieval Societies Conference, AIRS 2012 - Tianjin, China
Duration: 2012 Dec 172012 Dec 19

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7675 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other8th Asia Information Retrieval Societies Conference, AIRS 2012
CountryChina
CityTianjin
Period12/12/1712/12/19

Keywords

  • Agreement and conflict relations
  • Information organization
  • Natural language processing
  • Recognizing textual entailment

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Fingerprint Dive into the research topics of 'Organizing information on the web through agreement-conflict relation classification'. Together they form a unique fingerprint.

  • Cite this

    Mizuno, J., Nichols, E., Watanabe, Y., & Inui, K. (2012). Organizing information on the web through agreement-conflict relation classification. In Information Retrieval Technology - 8th Asia Information Retrieval Societies Conference, AIRS 2012, Proceedings (pp. 126-137). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7675 LNCS). https://doi.org/10.1007/978-3-642-35341-3_11