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  1. 学術雑誌論文
  2. 洋雑誌

A Method for Extraction of Future Reference Sentences Based on Semantic Role Labeling

https://kitami-it.repo.nii.ac.jp/records/8176
https://kitami-it.repo.nii.ac.jp/records/8176
b0ee1923-fe1f-4e0e-bc14-78338416ca17
名前 / ファイル ライセンス アクション
2016_A 2016_A Method for Extraction of Future Reference Sentences Based on Semantic Role Labeling.pdf (626.3 kB)
Item type 学術雑誌論文 / Journal Article(1)
公開日 2016-06-17
タイトル
タイトル A Method for Extraction of Future Reference Sentences Based on Semantic Role Labeling
言語 en
言語
言語 eng
キーワード
主題Scheme Other
主題 natural language processing
キーワード
主題Scheme Other
主題 future reference expressions
キーワード
主題Scheme Other
主題 future prediction
キーワード
主題Scheme Other
主題 information extraction
資源タイプ
資源 http://purl.org/coar/resource_type/c_6501
タイプ journal article
アクセス権
アクセス権 open access
アクセス権URI http://purl.org/coar/access_right/c_abf2
著者 NAKAJIMA, Yoko

× NAKAJIMA, Yoko

en NAKAJIMA, Yoko

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PTASZYNSKI, Michal

× PTASZYNSKI, Michal

en PTASZYNSKI, Michal

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HONMA, Hirotoshi

× HONMA, Hirotoshi

en HONMA, Hirotoshi

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MASUI, Fumito

× MASUI, Fumito

en MASUI, Fumito

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著者別名
識別子Scheme WEKO
識別子 44864
識別子Scheme KAKEN
識別子URI https://nrid.nii.ac.jp/ja/nrid/1000080324549
識別子 80324549
姓名 桝井, 文人
言語 ja
著者別名
識別子Scheme WEKO
識別子 44869
識別子Scheme KAKEN
識別子URI https://nrid.nii.ac.jp/ja/nrid/1000060711504
識別子 60711504
姓名 プタシンスキ, ミハウ
言語 ja
抄録
内容記述タイプ Abstract
内容記述 In everyday life, people use past events and their own knowledge in predicting probable unfolding of events. To obtain the necessary knowledge for such predictions, newspapers and the Internet provide a general source of information. Newspapers contain various expressions describing past events, but also current and future events, and opinions. In our research we focused on automatically obtaining sentences that make reference to the future. Such sentences can contain expressions that not only explicitly refer to future events, but could also refer to past or current events. For example, if people read a news article that states "In the near future, there will be an upward trend in the price of gasoline," they may be likely to buy gasoline now. However, if the article says "The cost of gasoline has just risen 10 yen per liter," people will not rush to buy gasoline, because they accept this as reality and may expect the cost to decrease in the future. In the following study we firstly investigate future reference sentences in newspapers and Web news. Next, we propose a method for automatic extraction of such sentences by using semantic role labels, without typical approaches (temporal expressions, etc.). In a series of experiments, we extract semantic role patterns from future reference sentences and examine the validity of the extracted patterns in classification of future reference sentences.
書誌情報 IEICE Transactions on Information and Systems

巻 E99.D, 号 2, p. 514-524, 発行日 2016-02
DOI
識別子タイプ DOI
関連識別子 http://doi.org/10.1587/transinf.2015EDP7115
権利
権利情報 c 2016 The Institute of Electronics, Information and Communication Engineers
出版者
出版者 The Institute of Electronics, Information and Communication Engineers (電子情報通信学会 )
関連サイト
URL http://search.ieice.org/bin/summary.php?id=e99-d_2_514
著者版フラグ
言語 en
値 publisher
出版タイプ
出版タイプ VoR
出版タイプResource http://purl.org/coar/version/c_970fb48d4fbd8a85
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