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Paper Abstract and Keywords
Presentation 2014-11-27 13:50
Detection of Error Synonyms in the Japanese WordNet -- A trial of using corpus --
Takuya Hirao, Koki Miyata, Takahiko Suzuki, Sachio Hirokawa (Kyushu Univ.)
Abstract (in Japanese) (See Japanese page) 
(in English) Lexical Database the Japanese WordNet is a useful tool in natural language processing. However, it is officially announced that Japanese WordNet contains 5% errors. In this paper, we discuss error detection methods in the Japanese WordNet.
Keyword (in Japanese) (See Japanese page) 
(in English) Thesaurus / WordNet / Japanese WordNet / / / / /  
Reference Info. IEICE Tech. Rep., vol. 114, no. 339, AI2014-18, pp. 13-18, Nov. 2014.
Paper # AI2014-18 
Date of Issue 2014-11-20 (AI) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380

Conference Information
Committee AI  
Conference Date 2014-11-27 - 2014-11-27 
Place (in Japanese) (See Japanese page) 
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Topics (in Japanese) (See Japanese page) 
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Paper Information
Registration To AI 
Conference Code 2014-11-AI 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Detection of Error Synonyms in the Japanese WordNet 
Sub Title (in English) A trial of using corpus 
Keyword(1) Thesaurus  
Keyword(2) WordNet  
Keyword(3) Japanese WordNet  
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1st Author's Name Takuya Hirao  
1st Author's Affiliation Kyushu University (Kyushu Univ.)
2nd Author's Name Koki Miyata  
2nd Author's Affiliation Kyushu University (Kyushu Univ.)
3rd Author's Name Takahiko Suzuki  
3rd Author's Affiliation Kyushu University (Kyushu Univ.)
4th Author's Name Sachio Hirokawa  
4th Author's Affiliation Kyushu University (Kyushu Univ.)
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Speaker
Date Time 2014-11-27 13:50:00 
Presentation Time 25 
Registration for AI 
Paper # IEICE-AI2014-18 
Volume (vol) IEICE-114 
Number (no) no.339 
Page pp.13-18 
#Pages IEICE-6 
Date of Issue IEICE-AI-2014-11-20 


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