Presentation 2005-02-25
Machine Learning and Data Mining Approaches to Practical Natural Language Processing
Taku KUDO,
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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.
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Keyword(in English) Machine Learning / Data Mining / Natural Language Processing
Paper # NLC2004-125,PRMU2004-207
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Conference Information
Committee NLC
Conference Date 2005/2/18(1days)
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Registration To Natural Language Understanding and Models of Communication (NLC)
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
Date of Issue