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  1. 論文誌(トランザクション)
  2. データベース(TOD)[電子情報通信学会データ工学研究専門委員会共同編集]
  3. Vol.13
  4. No.2

Searching for Microblogs Referring to Events by Deep Dynamic Query Strategies

https://ipsj.ixsq.nii.ac.jp/records/204371
https://ipsj.ixsq.nii.ac.jp/records/204371
952990ef-0a82-4a91-9785-4a8238d919be
名前 / ファイル ライセンス アクション
IPSJ-TOD1302004.pdf IPSJ-TOD1302004.pdf (1.2 MB)
Copyright (c) 2020 by the Information Processing Society of Japan
オープンアクセス
Item type Trans(1)
公開日 2020-04-16
タイトル
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
言語 eng
キーワード
主題Scheme Other
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
Graduate School of Informatics, Kyoto University
著者所属(英)
en
Faculty of Library, Information and Media Science, University of Tsukuba / JST, PRESTO
著者所属(英)
en
School of Social Information Science, University of Hyogo
著者所属(英)
en
Graduate School of Informatics, Kyoto University
著者名 Jun-Li, Lu

× Jun-Li, Lu

Jun-Li, Lu

Search repository
Makoto, P. Kato

× Makoto, P. Kato

Makoto, P. Kato

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Takehiro, Yamamoto

× Takehiro, Yamamoto

Takehiro, Yamamoto

Search repository
Katsumi, Tanaka

× Katsumi, Tanaka

Katsumi, Tanaka

Search repository
著者名(英) Jun-Li, Lu

× Jun-Li, Lu

en Jun-Li, Lu

Search repository
Makoto, P. Kato

× Makoto, P. Kato

en Makoto, P. Kato

Search repository
Takehiro, Yamamoto

× Takehiro, Yamamoto

en Takehiro, Yamamoto

Search repository
Katsumi, Tanaka

× Katsumi, Tanaka

en Katsumi, Tanaka

Search repository
論文抄録
内容記述タイプ Other
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
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
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
収録物識別子 1882-7799
出版者
言語 ja
出版者 情報処理学会
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