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Adaptive Word Sense Tagging on Chinese Corpus
http://hdl.handle.net/2065/581
http://hdl.handle.net/2065/581f94b8b65-f6f9-480c-a2e8-10201e535650
| 名前 / ファイル | ライセンス | アクション |
|---|---|---|
interactive-7.pdf (701.5 kB)
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| Item type | 会議発表論文 / Conference Paper(1) | |||||
|---|---|---|---|---|---|---|
| 公開日 | 2008-04-28 | |||||
| タイトル | ||||||
| タイトル | Adaptive Word Sense Tagging on Chinese Corpus | |||||
| 言語 | en | |||||
| 言語 | ||||||
| 言語 | eng | |||||
| 資源タイプ | ||||||
| 資源タイプ識別子 | http://purl.org/coar/resource_type/c_5794 | |||||
| 資源タイプ | conference paper | |||||
| 著者 |
Ker, Sue-Jin
× Ker, Sue-Jin× Chen, Jen-Nan |
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| 抄録 | ||||||
| 内容記述タイプ | Abstract | |||||
| 内容記述 | This study describes a general framework for adaptive word sense disambiguation. The proposed framework begins with knowledge acquisition from the relatively easy context of a corpus. The proposed framework heavily relies on the adaptive step that enriches the initial knowledge base with knowledge gleaned from the partially disambiguated text. Once adjusted to fit the text at hand, the knowledge base is applied to the text again to finalize the disambiguation decision. The effectiveness of this approach was examined through sentences from the Sinica corpus. Experimental results indicated that adaptation significantly improved the performance of WSD. Moreover, the adaptive approach, achieved an applicability improvement from 33.0% up to 74.9% with a comparable precision. | |||||
| 書誌情報 | p. 267-274, 発行日 2005-11-16 | |||||
| 件名 | ||||||
| 主題Scheme | NDC | |||||
| 主題 | 801.06 | |||||
| 件名 | ||||||
| 主題Scheme | LCSH | |||||
| 主題 | Computational linguistics--Congresses | |||||
| 出版者 | ||||||
| 出版者 | Logico-Linguistic Society of Japan | |||||
| データタイプ | ||||||
| 内容記述タイプ | Other | |||||
| 内容記述 | text | |||||
| HDL URI | ||||||
| http://hdl.handle.net/2065/581 | ||||||
