Event Identification for Explicit and Implicit References on Microblogs

• Item type: Trans(1)
• 公開日: 2017-06-28
• タイトル: Event Identification for Explicit and Implicit References on Microblogs
• タイトル / 言語: en
• タイトル: Event Identification for Explicit and Implicit References on Microblogs
• 言語: eng
• キーワード / 主題Scheme: Other
• キーワード / 主題: [研究論文] event identification, implicit reference, reference prediction
• 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: Department of Social Informatics, Graduate School of Informatics, Kyoto University
• 著者所属: Department of Social Informatics, Graduate School of Informatics, Kyoto University
• 著者所属: Department of Social Informatics, Graduate School of Informatics, Kyoto University
• 著者所属: Department of Social Informatics, Graduate School of Informatics, Kyoto University
• 著者所属(英): en
• 著者所属(英): Department of Social Informatics, Graduate School of Informatics, Kyoto University
• 著者所属(英): en
• 著者所属(英): Department of Social Informatics, Graduate School of Informatics, Kyoto University
• 著者所属(英): en
• 著者所属(英): Department of Social Informatics, Graduate School of Informatics, Kyoto University
• 著者所属(英): en
• 著者所属(英): Department of Social Informatics, 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 event identification on microblogs with special attention to implicit reference cases in which events are not referred to by event's information. Most studies identify events referred to by event's information, while there are many implicitly referred events by microblogs, which are difficult to identify for short text such as microblogs. We therefore tackled implicit reference cases by analyzing links from microblogs. The links are able to connect opinions or feeling to their referred events. The analysis of links is particularly important for certain types of implicit references. In addition, we predict reference type of a microblog for accurately ranking referred events. The experimental results suggest that our method was effective for implicit references and predicting reference type was essential for identifying implicitly or explicitly referred events together.; ------------------------------; 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.25(2017) (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 event identification on microblogs with special attention to implicit reference cases in which events are not referred to by event's information. Most studies identify events referred to by event's information, while there are many implicitly referred events by microblogs, which are difficult to identify for short text such as microblogs. We therefore tackled implicit reference cases by analyzing links from microblogs. The links are able to connect opinions or feeling to their referred events. The analysis of links is particularly important for certain types of implicit references. In addition, we predict reference type of a microblog for accurately ranking referred events. The experimental results suggest that our method was effective for implicit references and predicting reference type was essential for identifying implicitly or explicitly referred events together.; ------------------------------; 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.25(2017) (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 10, 号 2, 発行日 2017-06-28
• 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