Paraphrasing Sentential Queries by Incorporating Coordinate Relationship

• Item type: Trans(1)
• 公開日: 2016-06-29
• タイトル: Paraphrasing Sentential Queries by Incorporating Coordinate Relationship
• タイトル / 言語: en
• タイトル: Paraphrasing Sentential Queries by Incorporating Coordinate Relationship
• 言語: eng
• キーワード / 主題Scheme: Other
• キーワード / 主題: [研究論文] sentential query paraphrasing, Web mining, mutual reinforcement, coordinate relationship
• 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 Informatics, Kyoto University
• 著者所属: Graduate School of Informatics, Kyoto University
• 著者所属: Graduate School of Informatics, Kyoto University
• 著者所属(英): en
• 著者所属(英): Graduate School of Informatics, Kyoto University
• 著者所属(英): en
• 著者所属(英): Graduate School of Informatics, Kyoto University
• 著者所属(英): en
• 著者所属(英): Graduate School of Informatics, Kyoto University
• 著者名: Meng, Zhao; Hiroaki, Ohshima; Katsumi, Tanaka
• 著者名(英): Meng, Zhao; Hiroaki, Ohshima; Katsumi, Tanaka
• 論文抄録 / 内容記述タイプ: Other
• 論文抄録 / 内容記述: Although long queries are still a small part of the queries submitted to Web search engines, their usage tends to gradually increase. However, the effectiveness of the retrieval decreases with the increase of query length. Long queries are very likely to have few Web pages returned. We target at sentential queries, a type of long queries, and propose a method called sentential query paraphrasing for improving their retrieval performance, especially on recall. We are motivated by the assumption that a sentence is an indivisible whole, which means that removing terms or phrases from a sentence would lead to the missing of some information or query drift. In this paper, we paraphrase sentential queries to avoid missing information and consequently ensure the completeness of the information. Take the sentential query “apples pop a powerful pectin punch,” for example. Its meaning will be changed if one or more terms are removed, and few Web pages are returned by conventional search engines. In contrast, querying by its paraphrases, such as “apples contain a lot of pectin” or “apples are rich in pectin,” can retrieve more Web pages. The experimental results show that our method can acquire more paraphrases from the noisy Web. Besides, with the help of paraphrases, more Web pages can be retrieved, especially for those sentential queries that could not find any answers with its original expression.; ------------------------------; This is a preprint of an article intended for publication Journal of; Information Processing(JIP). This preprint should not be cited. This; article should be cited as: Journal of Information Processing Vol.24(2016) No.4(online); ------------------------------
• 論文抄録(英) / 内容記述タイプ: Other
• 論文抄録(英) / 内容記述: Although long queries are still a small part of the queries submitted to Web search engines, their usage tends to gradually increase. However, the effectiveness of the retrieval decreases with the increase of query length. Long queries are very likely to have few Web pages returned. We target at sentential queries, a type of long queries, and propose a method called sentential query paraphrasing for improving their retrieval performance, especially on recall. We are motivated by the assumption that a sentence is an indivisible whole, which means that removing terms or phrases from a sentence would lead to the missing of some information or query drift. In this paper, we paraphrase sentential queries to avoid missing information and consequently ensure the completeness of the information. Take the sentential query “apples pop a powerful pectin punch,” for example. Its meaning will be changed if one or more terms are removed, and few Web pages are returned by conventional search engines. In contrast, querying by its paraphrases, such as “apples contain a lot of pectin” or “apples are rich in pectin,” can retrieve more Web pages. The experimental results show that our method can acquire more paraphrases from the noisy Web. Besides, with the help of paraphrases, more Web pages can be retrieved, especially for those sentential queries that could not find any answers with its original expression.; ------------------------------; This is a preprint of an article intended for publication Journal of; Information Processing(JIP). This preprint should not be cited. This; article should be cited as: Journal of Information Processing Vol.24(2016) No.4(online); ------------------------------
• 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 9, 号 2, 発行日 2016-06-29
• 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