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 Japanese) | (See Japanese page) |
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. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Thesaurus / WordNet / Japanese WordNet |
Paper # | AI2014-18 |
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Committee | AI |
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Conference Date | 2014/11/20(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Artificial Intelligence and Knowledge-Based Processing (AI) |
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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 |
Date of Issue |