Presentation 2015-12-18
Checking correctness of semantic dictionary by multiple detection methods
Takuya Hirao, Nao Wariishi, Takahiko Suzuki, Sachio Hirokawa,
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Abstract(in Japanese) (See Japanese page)
Abstract(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)
Keyword(in English) WordNet / Japanese WordNet / Word2Vec / Random Forest
Paper # AI2015-38
Date of Issue 2015-12-11 (AI)

Conference Information
Committee AI
Conference Date 2015/12/18(2days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair Toshiharu Sugawara(Waseda Univ.)
Vice Chair Tsunenori Mine(Kyushu Univ.) / Daisuke Katagami(Tokyo Polytechnic Univ.)
Secretary Tsunenori Mine(Kyoto Univ.) / Daisuke Katagami(Shizuoka Univ.)
Assistant Yuichi Sei(Univ. of Electro-Comm.)

Paper Information
Registration To Technical Committee on Artificial Intelligence and Knowledge-Based Processing
Language JPN
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
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.)
Date 2015-12-18
Paper # AI2015-38
Volume (vol) vol.115
Number (no) AI-381
Page pp.pp.71-76(AI),
#Pages 6
Date of Issue 2015-12-11 (AI)