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

Yoshihiko Hayashi*, Masaaki Nagata, Bora Savas

*この研究の対応する著者

研究成果: Conference contribution

抄録

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.

本文言語English
ホスト出版物のタイトルInformation Retrieval Technology - 6th Asia Information Retrieval Societies Conference, AIRS 2010, Proceedings
ページ379-388
ページ数10
DOI
出版ステータスPublished - 2010
外部発表はい
イベント6th Asia Information Retrieval Societies Conference, AIRS 2010 - Taipei, Taiwan, Province of China
継続期間: 2010 12月 12010 12月 3

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
6458 LNCS
ISSN(印刷版)0302-9743
ISSN(電子版)1611-3349

Other

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

ASJC Scopus subject areas

  • 理論的コンピュータサイエンス
  • コンピュータサイエンス一般

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