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Paper Abstract and Keywords
Presentation 2015-12-18 15:10
Checking correctness of semantic dictionary by multiple detection methods
Takuya Hirao, Nao Wariishi, Takahiko Suzuki, Sachio Hirokawa (Kyushu Univ.)
Abstract (in Japanese) (See Japanese page) 
(in English) There is a growing demand for machine-readable semantic dictionary. Costly to determine the integrity of the semantic dictionary by human power. The authors, by the vector of the words in the semantic dictionary using corpus and Word2vec, which aims to determine the integrity.
In this presentation, by determining similarity vectors by combining the two techniques of Word2Vec and Random Forest, it is described techniques for determining the integrity of the semantic dictionary Japanese WordNet.
Keyword (in Japanese) (See Japanese page) 
(in English) WordNet / Japanese WordNet / Word2Vec / Random Forest / / / /  
Reference Info. IEICE Tech. Rep., vol. 115, no. 381, AI2015-38, pp. 71-76, Dec. 2015.
Paper # AI2015-38 
Date of Issue 2015-12-11 (AI) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380

Conference Information
Committee AI  
Conference Date 2015-12-18 - 2015-12-19 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
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Paper Information
Registration To AI 
Conference Code 2015-12-AI 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Checking correctness of semantic dictionary by multiple detection methods 
Sub Title (in English)  
Keyword(1) WordNet  
Keyword(2) Japanese WordNet  
Keyword(3) Word2Vec  
Keyword(4) Random Forest  
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1st Author's Name Takuya Hirao  
1st Author's Affiliation Kyushu University (Kyushu Univ.)
2nd Author's Name Nao Wariishi  
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 2015-12-18 15:10:00 
Presentation Time 20 
Registration for AI 
Paper # IEICE-AI2015-38 
Volume (vol) IEICE-115 
Number (no) no.381 
Page pp.71-76 
#Pages IEICE-6 
Date of Issue IEICE-AI-2015-12-11 


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