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Recurrent Neural Networks for Language Understanding Kaisheng Yao1 , Geoffrey Zweig2 , Mei-Yuh Hwang1 , Yangyang Shi3 , and Dong Yu2 1 Online Services Division, Microsoft, China 2
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Document Date: 2013-05-23 17:49:01


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City

Wikipedia / Seattle / Paris / /

Company

GPU / Mei / Microsoft / Recurrent Neural Networks / /

Country

China / /

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Facility

Delft University of Technology / /

IndustryTerm

deployed spoken language understanding systems / word classing algorithm / feed-forward neural network / convex networks / discriminative algorithms / neural network / online decisions / spoken language systems / language systems / air travel information service / natural language processing tasks / Online Services Division / neural information processing systems / neural networks / context-dependent deep neural networks / air travel domain / people making travel reservations / convex network / conversational movie search system / language processing / deep neural networks / /

Movie

Glass / /

Organization

Delft University of Technology / U.S. Securities and Exchange Commission / Association for Computational Linguistics / /

Person

P.F. Brown / V / A. Allauzen / J. Della Pietra / Lex Lex Lex Lex / F. Yvon / L. H. Son / Morgan Kaufmann / /

Position

feed-forward / model mentioned / Fisher / W. Fisher / /

PublishedMedium

Computational Linguistics / Journal of Machine Learning Research / /

Technology

speech recognition / natural language processing / Neural Network / machine translation / Generative and discriminative algorithms / Machine Learning / Brown word classing algorithm / using statistical machine translation / /

URL

http /

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