Exploring the visual annotatability of query concepts for interactive cross-language information retrieval

Yoshihiko Hayashi, Masaaki Nagata, Bora Savas

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

Abstract

In interactive CLIR (Cross-Language Information Retrieval), it is crucial to provide users with useful clues for signifying the word senses that a translated query term can have. Among the possible means, visual clues can be effectively employed, as they are intuitive and language-neutral to some extent. This paper therefore examined the possibility of Web images as an intuitive and effective clue for the purpose of signifying word senses. We designed an experiment to collect human assessments of the relevance of Web images. Through statistical analyses applied to the assessment data, this paper shows: (1) the semantic class of a word sense together with familiarity is a good indicator for predicting the applicability of Web images as a word sense clue; (2) Web biases should be considered when gathering Web images, particularly for terms used as entity names.

Original languageEnglish
Title of host publicationInformation Retrieval Technology - 6th Asia Information Retrieval Societies Conference, AIRS 2010, Proceedings
Pages379-388
Number of pages10
DOIs
Publication statusPublished - 2010 Dec 1
Event6th Asia Information Retrieval Societies Conference, AIRS 2010 - Taipei, Taiwan, Province of China
Duration: 2010 Dec 12010 Dec 3

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6458 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other6th Asia Information Retrieval Societies Conference, AIRS 2010
CountryTaiwan, Province of China
CityTaipei
Period10/12/110/12/3

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Keywords

  • cross-language information retrieval
  • interactive interface
  • query translation
  • visual annotation
  • word sense

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Hayashi, Y., Nagata, M., & Savas, B. (2010). Exploring the visual annotatability of query concepts for interactive cross-language information retrieval. In Information Retrieval Technology - 6th Asia Information Retrieval Societies Conference, AIRS 2010, Proceedings (pp. 379-388). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6458 LNCS). https://doi.org/10.1007/978-3-642-17187-1_37