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Science / Semantics / Natural language processing / Statistical classification / Bayesian statistics / SemEval / Word-sense disambiguation / Latent Dirichlet allocation / Naive Bayes classifier / Statistics / Computational linguistics / Linguistics


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 20:49:07

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File Size: 103,17 KB

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City

Antwerp / New York / /

Company

Latent Dirichlet Allocation LDA / K LDA / 3M / Reuters / Languages Resources / /

Country

Jordan / /

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Facility

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

IndustryTerm

reported systems / inference algorithm / reported best systems / dirichlet allocation algorithm / natural language processing / computing / finance / learning algorithm / /

Organization

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

Person

Semi-Supervised Learning Method / David Blei / Jun Fu Cai / Wee Sun Lee Gatsby Computational / /

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Position

topic model / /

Product

SemCor / Soft Tagging / /

ProvinceOrState

New York / /

PublishedMedium

Computational Linguistics / Journal of Machine Learning Research / /

Technology

Neuroscience / learning algorithm / natural language processing / inference algorithm / LDA algorithm / Machine Learning / latent dirichlet allocation algorithm / /

URL

http /

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