Presentation | 2006-07-27 Heteronym disambiguation based on co-occurrence within Web page Eiichiro Sumita, Fumiaki Sugaya, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | The authors claim that information around a word on the Web is useful for solving ambiguity related to the word. The proposed method learns a classifier based on the information. Appling the method to heteronym disambiguation demonstrated a high accuracy. Furthermore, it was effective for acronym disambiguation. However, when distribution of training data and that on the Web are largely different, we observed degradation, which is one of future works to be tackled. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Heteronym / Pronunciation / Acronym / Word Sense Disambiguation / Speech Processing / Web-based NLP |
Paper # | NLC2006-3 |
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Conference Information | |
Committee | NLC |
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Conference Date | 2006/7/20(1days) |
Place (in Japanese) | (See Japanese page) |
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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) | Heteronym disambiguation based on co-occurrence within Web page |
Sub Title (in English) | |
Keyword(1) | Heteronym |
Keyword(2) | Pronunciation |
Keyword(3) | Acronym |
Keyword(4) | Word Sense Disambiguation |
Keyword(5) | Speech Processing |
Keyword(6) | Web-based NLP |
1st Author's Name | Eiichiro Sumita |
1st Author's Affiliation | NiCT & ATR() |
2nd Author's Name | Fumiaki Sugaya |
2nd Author's Affiliation | KDDI R&D Labs |
Date | 2006-07-27 |
Paper # | NLC2006-3 |
Volume (vol) | vol.106 |
Number (no) | 190 |
Page | pp.pp.- |
#Pages | 6 |
Date of Issue |