| Presentation | 1997/7/25 Mistake-driven learning with thesaurus for text categorization Takefumi Yamazaki, Ido Dagan, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | This paper extends the mistake-driven learner WINNOW, which has been highly studied in the theoretical machine learning literature, to better utilize thesauri for text categorization. In our method not only words but also semantic categories given by the thesaurus are used as features in a classifier. New filtering and disambiguation methods are used as pre-processing to solve the problems caused by the use of the thesaurus. In the experiment we test RWCP corpus and verify our method. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | |
| Paper # | NLC97-21 |
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| Conference Information | |
| Committee | NLC |
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| Conference Date | 1997/7/25(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 | Natural Language Understanding and Models of Communication (NLC) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Mistake-driven learning with thesaurus for text categorization |
| Sub Title (in English) | |
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| 1st Author's Name | Takefumi Yamazaki |
| 1st Author's Affiliation | NTT Comunication Science Laboratories() |
| 2nd Author's Name | Ido Dagan |
| 2nd Author's Affiliation | Bar Ilan University |
| Date | 1997/7/25 |
| Paper # | NLC97-21 |
| Volume (vol) | vol.97 |
| Number (no) | 200 |
| Page | pp.pp.- |
| #Pages | 8 |
| Date of Issue | |