Searching for Microblogs Referring to Events by Deep Dynamic Query Strategies

• Item type: Trans(1)
• 公開日: 2020-04-16
• タイトル: Searching for Microblogs Referring to Events by Deep Dynamic Query Strategies
• タイトル / 言語: en
• タイトル: Searching for Microblogs Referring to Events by Deep Dynamic Query Strategies
• 言語: eng
• キーワード / 主題Scheme: Other
• キーワード / 主題: [研究論文] microblog search, reinforcement learning, RNN, DNN
• 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: Faculty of Library, Information and Media Science, University of Tsukuba／JST, PRESTO
• 著者所属: School of Social Information Science, University of Hyogo
• 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): Faculty of Library, Information and Media Science, University of Tsukuba / JST, PRESTO
• 著者所属(英): en
• 著者所属(英): School of Social Information Science, University of Hyogo
• 著者所属(英): en
• 著者所属(英): Graduate School of Informatics, Kyoto University
• 著者名: Jun-Li, Lu; Makoto, P. Kato; Takehiro, Yamamoto; Katsumi, Tanaka
• 著者名(英): Jun-Li, Lu; Makoto, P. Kato; Takehiro, Yamamoto; Katsumi, Tanaka
• 論文抄録 / 内容記述タイプ: Other
• 論文抄録 / 内容記述: We address the problem of searching for microblogs referring to events, which are difficult to find because microblogs may refer to events without using event's contents and a searcher may not use suitable queries for a search engine. We therefore propose a dynamic search process based on MDP that takes query strategies optimized for the current search state. As key components of the dynamic search process, we propose an RNN-based model for predicting long-term returns of a search process, and a DNN-based model that tries to match between the representations of microblogs and those of events for identifying relevant microblogs. Experimental results suggest that the dynamic search process could effectively search for microblogs, especially for implicitly referred events. Moreover, we show high applicability of our proposed approach to unseen events for which any relevant microblogs were not available in the training phase.; ------------------------------; 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.28(2020) (online); ------------------------------
• 論文抄録(英) / 内容記述タイプ: Other
• 論文抄録(英) / 内容記述: We address the problem of searching for microblogs referring to events, which are difficult to find because microblogs may refer to events without using event's contents and a searcher may not use suitable queries for a search engine. We therefore propose a dynamic search process based on MDP that takes query strategies optimized for the current search state. As key components of the dynamic search process, we propose an RNN-based model for predicting long-term returns of a search process, and a DNN-based model that tries to match between the representations of microblogs and those of events for identifying relevant microblogs. Experimental results suggest that the dynamic search process could effectively search for microblogs, especially for implicitly referred events. Moreover, we show high applicability of our proposed approach to unseen events for which any relevant microblogs were not available in the training phase.; ------------------------------; 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.28(2020) (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 13, 号 2, 発行日 2020-04-16
• 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