Presentation 2014-11-27
Detection of Error Synonyms in Japanese WordNet : A trial of using corpus
Takuya HIRAO, Kouki MIYATA, Takahiko SUZUKI, Sachio HIROKAWA,
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Abstract(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.
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Keyword(in English) Thesaurus / WordNet / Japanese WordNet
Paper # AI2014-18
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Committee AI
Conference Date 2014/11/20(1days)
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Registration To Artificial Intelligence and Knowledge-Based Processing (AI)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Detection of Error Synonyms in Japanese WordNet : A trial of using corpus
Sub Title (in English)
Keyword(1) Thesaurus
Keyword(2) WordNet
Keyword(3) Japanese WordNet
1st Author's Name Takuya HIRAO
1st Author's Affiliation Kyushu University Graduate School of Information Science and Electrical Engineering()
2nd Author's Name Kouki MIYATA
2nd Author's Affiliation Kyushu University Graduate School of Information Science and Electrical Engineering
3rd Author's Name Takahiko SUZUKI
3rd Author's Affiliation Kyushu University Research Institute for Information Technology
4th Author's Name Sachio HIROKAWA
4th Author's Affiliation Kyushu University Research Institute for Information Technology
Date 2014-11-27
Paper # AI2014-18
Volume (vol) vol.114
Number (no) 339
Page pp.pp.-
#Pages 6
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