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  1. 学術雑誌掲載済論文
  2. 洋雑誌

Future Reference Sentence Extraction in Support of Future Event Prediction

https://kitami-it.repo.nii.ac.jp/records/8884
6eae114a-5847-4c82-9fbe-a87de7a8c18f
名前 / ファイル ライセンス アクション
International International Journal of Computational Linguistics Research_9(1)_27-41 (168.3 kB)
Item type 学術雑誌論文 / Journal Article(1)
公開日 2020-01-16
タイトル
言語 en
タイトル Future Reference Sentence Extraction in Support of Future Event Prediction
言語
言語 eng
キーワード
言語 en
主題Scheme Other
主題 Future Reference Expressions
キーワード
言語 en
主題Scheme Other
主題 Future Prediction
キーワード
言語 en
主題Scheme Other
主題 Information Extraction
キーワード
言語 en
主題Scheme Other
主題 NLP
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

WEKO 90353

en Nakajima, Yoko

Search repository
PTASZYNSKI, Michal

× PTASZYNSKI, Michal

WEKO 11612

en PTASZYNSKI, Michal

Search repository
HONMA, Hirotoshi

× HONMA, Hirotoshi

WEKO 11613

en HONMA, Hirotoshi

Search repository
Masui, Fumito

× Masui, Fumito

WEKO 90058

en Masui, Fumito

Search repository
著者別名
姓名
姓名 プタシンスキ, ミハウ
言語 ja
著者別名
姓名
姓名 桝井, 文人
言語 ja
抄録
内容記述タイプ Abstract
内容記述 Providing the means for understanding natural language, or some groups of its realizations is one of the main goals of Artificial Intelligence (AI). For example, subfields of AI such as natural language processing ( NLP), or sentiment analysis (SA) focus on analyzing of speaker attitudes and emotions expressed in a sentence. A different kind of realization of natural language, which we focus on in this research, is predicting trends of future events from available language data. It is a challenging task, since it focuses on obtaining information on future unfolding of events from the provided instances of language behavior. To make the task feasible we narrowed the scope of our research to detecting and extracting sentences which refer to future events as potentially the most useful in prediction of future unfolding of events. Future reference sentences can contain information on the current state of events, or specific expert knowledge, and thus can be useful in future prediction. We propose a method for automatic extraction of future reference sentences from news corpora using semantic and morphological information. We also perform an experiment in which the sentences extracted with the proposed method are applied to predict future unfolding of a set of specific events.
言語 en
書誌情報 en : International Journal of Computational Linguistics Research

巻 9, 号 1, p. 27-41, 発行日 2018-03
ISSN
収録物識別子タイプ EISSN
収録物識別子 0976-416X
出版者
出版者 DLINE
著者版フラグ
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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