Exploiting and Combining Multiple Resources for Query Expansion in Cross - Language Information Retrieval

• Item type: Trans(1)
• 公開日: 2002-09-15
• タイトル: Exploiting and Combining Multiple Resources for Query Expansion in Cross - Language Information Retrieval
• タイトル / 言語: en
• タイトル: Exploiting and Combining Multiple Resources for Query Expansion in Cross - Language Information Retrieval
• 言語: eng
• キーワード / 主題Scheme: Other
• キーワード / 主題: 研究論文
• 資源タイプ / 資源タイプ識別子: http://purl.org/coar/resource_type/c_6501
• 資源タイプ: journal article
• 著者所属: Graduate School of Information Science Nara Institute of Science and Technology (NAIST)
• 著者所属: Department of Computer Science College of Science and Engineering Ritsumeikan University
• 著者所属: Information Technology Center Nagoya University/Graduate School of Information Science Nara Institute of Science and Technology (NAIST)
• 著者所属: Graduate School of Info
• 著者所属(英): en
• 著者所属(英): Graduate School of Information Science, Nara Institute of Science and Technology (NAIST)
• 著者所属(英): en
• 著者所属(英): Department of Computer Science, College of Science and Engineering, Ritsumeikan University
• 著者所属(英): en
• 著者所属(英): Graduate School of Information Science, Nara Institute of Science and Technology (NAIST) Information Technology Center, Nagoya University
• 著者所属(英): en
• 著者所属(英): Graduate School of Information Science, Nara Institute of Science and Technology (NAIST)
• 著者名: FATIHA, SADAT; AKIRA, MAEDA; MASATOSHI, YOSHIKAWA; SHUNSUKE, UEMURA
• 著者名(英): Fatiha, Sadat; Akira, Maeda; Masatoshi, Yoshikawa; Shunsuke, Uemura
• 論文抄録 / 内容記述タイプ: Other
• 論文抄録 / 内容記述: As Internet resources become accessible worldwide the need to develop methods in Cross- Language Information Retrieval for different languages becomes increasingly important. In the present paper we focus on query expansion techniques to improve the effectiveness of information retrieval. Combination of the dictionary-based translation and statistics-based disambiguation approaches is indispensable in overcoming query translation ambiguity. We therefore propose herein a model which uses multiple sources for query reformulation organization translation and disambiguation to select target translations and retrieve requested information. Relevance feedback or thesaurus-based expansion as well as a new feedback strategy which is based on the extraction of domain keywords to expand an original query are introduced and evaluated. We tested the effectiveness of the proposed combined method using an application of French-English information retrieval. Experiments using the TREC data collection revealed the proposed combination of disambiguation and query expansion techniques to be highly effective.
• 論文抄録(英) / 内容記述タイプ: Other
• 論文抄録(英) / 内容記述: As Internet resources become accessible worldwide, the need to develop methods in Cross- Language Information Retrieval for different languages becomes increasingly important. In the present paper, we focus on query expansion techniques to improve the effectiveness of information retrieval. Combination of the dictionary-based translation and statistics-based disambiguation approaches is indispensable in overcoming query translation ambiguity. We therefore propose herein a model, which uses multiple sources for query reformulation, organization, translation and disambiguation, to select target translations and retrieve requested information. Relevance feedback or thesaurus-based expansion, as well as a new feedback strategy, which is based on the extraction of domain keywords to expand an original query, are introduced and evaluated. We tested the effectiveness of the proposed combined method using an application of French-English information retrieval. Experiments using the TREC data collection revealed the proposed combination of disambiguation and query expansion techniques to be highly effective.
• 書誌レコードID / 収録物識別子タイプ: NCID
• 書誌レコードID / 収録物識別子: AA11464847
• 書誌情報: 情報処理学会論文誌データベース（TOD）; 巻 43, 号 SIG09(TOD15), p. 39-54, 発行日 2002-09-15
• ISSN / 収録物識別子タイプ: ISSN
• ISSN / 収録物識別子: 1882-7799
• 出版者 / 言語: ja
• 出版者: 情報処理学会