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Future Reference Sentence Extraction in Support of Future Event Prediction
https://kitami-it.repo.nii.ac.jp/records/8884
https://kitami-it.repo.nii.ac.jp/records/88846eae114a-5847-4c82-9fbe-a87de7a8c18f
| 名前 / ファイル | ライセンス | アクション |
|---|---|---|
International Journal of Computational Linguistics Research_9(1)_27-41 (168.3 kB)
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| Item type | 学術雑誌論文 / Journal Article(1) | |||||
|---|---|---|---|---|---|---|
| 公開日 | 2020-01-16 | |||||
| タイトル | ||||||
| タイトル | Future Reference Sentence Extraction in Support of Future Event Prediction | |||||
| 言語 | en | |||||
| 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 | ||||||
| 資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||
| 資源タイプ | 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× PTASZYNSKI, Michal× HONMA, Hirotoshi× Masui, Fumito |
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| 著者別名 | ||||||
| 識別子Scheme | WEKO | |||||
| 識別子 | 90352 | |||||
| 識別子Scheme | CiNii ID | |||||
| 識別子URI | http://ci.nii.ac.jp/nrid/9000006924461 | |||||
| 識別子 | 9000006924461 | |||||
| 識別子Scheme | KAKEN - 研究者検索 | |||||
| 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 | |||||
| 著者別名 | ||||||
| 識別子Scheme | WEKO | |||||
| 識別子 | 304 | |||||
| 識別子Scheme | KAKEN - 研究者検索 | |||||
| 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 | |||||
| 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 |
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| 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 | |||||
