EXPLOITING SYNTACTIC, SEMANTIC, AND LEXICAL REGULARITIES IN LANGUAGE MODELING VIA DIRECTED MARKOV RANDOM FIELDS-Reference-Cited by-同舟云学术

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EXPLOITING SYNTACTIC, SEMANTIC, AND LEXICAL REGULARITIES IN LANGUAGE MODELING VIA DIRECTED MARKOV RANDOM FIELDS

Published:2012-07-10 Issue:4 Volume:29 Page:649-679
ISSN:0824-7935
Container-title:Computational Intelligence
language:en
Short-container-title:Computational Intelligence

Author:

Wang Shaojun¹,Wang Shaomin²,Cheng Li³,Greiner Russell⁴,Schuurmans Dale⁴

Affiliation:

1. Department of Computer Science and Engineering; Wright State University Dayton; Ohio USA

2. Visa Inc.; San Francisco California USA

3. Bioinformatics Institute; Singapore

4. Department of Computing Science; University of Alberta Edmonton; Alberta Canada

Publisher

Wiley

Subject

Artificial Intelligence,Computational Mathematics

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1111/j.1467-8640.2012.00436.x/fullpdf

Reference59 articles.

1. Stochastic attribute-value grammars;Abney;Computational Linguistics,1997

2. Exploiting latent semantic information in statistical language modeling;Bellegarda;Proceedings of IEEE,2000

3. A neural probabilistic language model;Bengio;Journal of Machine Learning Research,2003

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