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- Peng Qujiang
- The University of Electro-Communications, Department of Computer Science
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- Wu Haodong
- Dokkyo University, Faculty of Foreign Languages
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- Furugori Teiji
- The University of Electro-Communications, Department of Computer Science
書誌事項
- タイトル別名
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- A Method for Similarity-based Lexiacal Disamibiguation.
- Method for Similarity based Lexical Disambiguation
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説明
This paper describes a method for word sense disambiguation using a similarity metric. In this method, we first obtain context-similarity vectors for the senses of a polysemous word using a corpus and also define the context representation for the same polysemous word appearing in text. We then calculate distributional matrix between each context-similarity vector and the context representation for the word to be disambiguated. Finally, comparing the values of distributional matrices, we select the sense with the highest value as the meaning of the polysemous word. An experiment with 682 instances for 10 polysemous words shows that we are able to disambiguate at a rate of almost 92%.
収録刊行物
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- 自然言語処理
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自然言語処理 9 (2), 77-89, 2002
一般社団法人 言語処理学会
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詳細情報 詳細情報について
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- CRID
- 1390001204476290304
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- NII論文ID
- 10010197765
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- NII書誌ID
- AN10472659
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- ISSN
- 21858314
- 13407619
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- NDL書誌ID
- 6136592
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- 本文言語コード
- en
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- データソース種別
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- JaLC
- NDLサーチ
- Crossref
- CiNii Articles
- OpenAIRE
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- 抄録ライセンスフラグ
- 使用不可