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Natural language processing / Statistical natural language processing / Semantics / Statistical classification / Word-sense disambiguation / Latent Dirichlet allocation / SemEval / Linear discriminant analysis / Topic model / Statistics / Linguistics / Computational linguistics


NUS-ML: Improving Word Sense Disambiguation Using Topic Features Yee Whye Teh Jun Fu Cai, Wee Sun Lee Gatsby Computational Neuroscience Unit Department of Computer Science University College London
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Document Date: 2007-10-02 20:49:27

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City

Springer-Verlag / /

Company

Reuters / /

Country

Jordan / /

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Event

Product Recall / Product Issues / /

Facility

Queen Square / Computer Science University College London National University of Singapore / /

IndustryTerm

inference algorithm / latent dirichlet allocation algorithm / /

Organization

Wee Sun Lee Gatsby Computational Neuroscience Unit Department / North American Chapter / University College London National University of Singapore / Association for Computational Linguistics / /

Person

David Blei / Jun Fu Cai / Wee Sun Lee Gatsby Computational / /

Position

Official / topic model / /

Product

Precision/ / /

ProvinceOrState

New York / /

PublishedMedium

Journal of Machine Learning Research / Computational Linguistics / /

Technology

Neuroscience / inference algorithm / LDA algorithm / Machine Learning / latent dirichlet allocation algorithm / /

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http /

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