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KWISC — Dependency visualization for understanding context
http://hdl.handle.net/2237/13922
http://hdl.handle.net/2237/13922805765ff-fad9-4d2c-b1e0-6fde12a5943b
名前 / ファイル | ライセンス | アクション |
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ogawa.pdf (2.4 MB)
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Item type | 学術雑誌論文 / Journal Article(1) | |||||
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公開日 | 2010-08-03 | |||||
タイトル | ||||||
タイトル | KWISC — Dependency visualization for understanding context | |||||
言語 | en | |||||
著者 |
Arai, Yusuke
× Arai, Yusuke× Hagiwara, Masato× Ogawa, Yasuhiro× Toyama, Katsuhiko |
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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 | |||||
権利 | ||||||
言語 | en | |||||
権利情報 | ©2009 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. | |||||
抄録 | ||||||
内容記述 | We propose a dependency visualization method for understanding context, KWISC. KWISC displays dependency between bunsetsus in Japanese sentences. In particular, it splits sentences into bunsetsus and displays them hierarchically according to the depth of dependency, to understand context. In addition, KWISC is able to align two keywords respectively, while KWIC aligns one keyword. This helps to find collocations among words. Furthermore, KWISC is able to expand and collapse bunsetsus. It can shorten distances of collocating words since it shows only the main structure of sentences by collapsing the bunsetsus. Therefore, collocating words are easy to fit on the screen, and horizontal eye movement is decreased when we look for collocations. As an evaluation experiment, we have collected pairs consisting of a bunsetsu that includes a keyword and another bunsetsu on which it depends from 207,802 sentences in the EDR corpus, and have measured the distances between them in KWISC. As a result, it is confirmed that KWISC makes the distances shorter than the conventional methods, and we have shown that KWISC makes it easy to find collocations. | |||||
言語 | en | |||||
内容記述タイプ | Abstract | |||||
出版者 | ||||||
言語 | en | |||||
出版者 | IEEE | |||||
言語 | ||||||
言語 | eng | |||||
資源タイプ | ||||||
資源タイプresource | http://purl.org/coar/resource_type/c_6501 | |||||
タイプ | journal article | |||||
出版タイプ | ||||||
出版タイプ | VoR | |||||
出版タイプResource | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |||||
DOI | ||||||
関連タイプ | isVersionOf | |||||
識別子タイプ | DOI | |||||
関連識別子 | https://doi.org/10.1109/SNLP.2009.5340926 | |||||
ISBN | ||||||
関連タイプ | isPartOf | |||||
識別子タイプ | ISBN | |||||
関連識別子 | 978-1-4244-4138-9 | |||||
書誌情報 |
en : Eighth International Symposium on Natural Language Processing (SNLP '09) p. 163-168, 発行日 2009-10-20 |
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フォーマット | ||||||
application/pdf | ||||||
著者版フラグ | ||||||
値 | publisher | |||||
URI | ||||||
識別子 | http://hdl.handle.net/2237/13922 | |||||
識別子タイプ | HDL | |||||
URI | ||||||
識別子 | http://dx.doi.org/10.1109/SNLP.2009.5340926 | |||||
識別子タイプ | DOI |