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Machine learning / Artificial intelligence / Speech recognition / Support vector machine / Science / Natural language processing / Parsing / Pattern recognition / Statistics / Statistical classification / Computational linguistics


Japanese Dependency Structure Analysis Based on Support Vector Machines Taku Kudo and Yuji Matsumoto
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Document Date: 2002-01-12 17:40:18


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File Size: 157,20 KB

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Company

Support Vector Networks / MIT Press / /

Country

Japan / /

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Facility

Nara Institute of Science / University Corpus / /

IndustryTerm

dot products / multi-processing computer / bottom-up algorithm / bank / bottom-up parsing algorithm / intermediate solutions / conventional statistical learning algorithms / natural language processing / realworld applications / beam search / /

Organization

Graduate School / MIT / Kyoto University / Nara Institute of Science and Technology / /

Person

Eugene Charniak / Satoshi Shirai / Yuji Matsumoto / Thorsten Joachims / John C. Platt / Kiyotaka Uchimoto / Masahiko Haruno / Yoshifumi Ooyama / Sadao Kurohashi / Masakazu Fujio / Makoto Nagao / C. Cortes / Vladimir N. Vapnik / Hitoshi Isahara / Hirotoshi Taira / Satoshi Sekine / Takashi Inui / Msahiko Haruno / Kentaro Inui / /

Position

model / Static Features Dynamic Features Head / head / /

Product

SVMs / /

PublishedMedium

Machine Learning / /

Technology

natural language processing / CYK algorithm / conventional statistical learning algorithms / bottom-up algorithm / Machine Learning / Backward Beam Search Algorithm / bottom-up parsing algorithm / /

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