Presentation | 2005-02-25 Machine Learning and Data Mining Approaches to Practical Natural Language Processing Taku KUDO, |
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PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | With a rapid growth of online-text available through the Internet, accurate, robust, efficient and practical natural language processing must be required to extract and organize useful knowledge represented in text. In this paper, we focus on two approaches : i) machine learning, ii) data mining, to build such accurate and practical text processors. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Machine Learning / Data Mining / Natural Language Processing |
Paper # | NLC2004-125,PRMU2004-207 |
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Committee | NLC |
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Conference Date | 2005/2/18(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (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) | Machine Learning and Data Mining Approaches to Practical Natural Language Processing |
Sub Title (in English) | |
Keyword(1) | Machine Learning |
Keyword(2) | Data Mining |
Keyword(3) | Natural Language Processing |
1st Author's Name | Taku KUDO |
1st Author's Affiliation | NTT Communication Science Laboratories() |
Date | 2005-02-25 |
Paper # | NLC2004-125,PRMU2004-207 |
Volume (vol) | vol.104 |
Number (no) | 668 |
Page | pp.pp.- |
#Pages | 5 |
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