Stochastic grammar

Results: 143



#Item
51Unsupervised Learning of Probabilistic Context-Free Grammar using Iterative Biclustering Kewei Tu and Vasant Honavar Department of Computer Science, Iowa State University, Ames, IA 50011, USA.

Unsupervised Learning of Probabilistic Context-Free Grammar using Iterative Biclustering Kewei Tu and Vasant Honavar Department of Computer Science, Iowa State University, Ames, IA 50011, USA.

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Source URL: www.cs.iastate.edu

Language: English - Date: 2008-08-04 19:18:32
52On the Utility of Curricula in Unsupervised Learning of Probabilistic Grammars Vasant Honavar Department of Computer Science Iowa State University Ames, IA 50011, USA

On the Utility of Curricula in Unsupervised Learning of Probabilistic Grammars Vasant Honavar Department of Computer Science Iowa State University Ames, IA 50011, USA

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Source URL: www.cs.iastate.edu

Language: English - Date: 2011-04-20 00:26:40
53Distributional Phrase Structure Induction Dan Klein and Christopher D. Manning Computer Science Department Stanford University Stanford, CA[removed]klein, manning  @cs.stanford.edu

Distributional Phrase Structure Induction Dan Klein and Christopher D. Manning Computer Science Department Stanford University Stanford, CA[removed]klein, manning  @cs.stanford.edu

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Source URL: nlp.stanford.edu

Language: English - Date: 2001-05-28 19:28:07
54Variational Inference for Adaptor Grammars Noah A. Smith David M. Blei Shay B. Cohen School of Computer Science Computer Science Department School of Computer Science Carnegie Mellon University

Variational Inference for Adaptor Grammars Noah A. Smith David M. Blei Shay B. Cohen School of Computer Science Computer Science Department School of Computer Science Carnegie Mellon University

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Source URL: www.cs.columbia.edu

Language: English - Date: 2015-03-12 00:16:21
55Syntactic Topic Models  David Blei Department of Computer Science 35 Olden Street Princeton University

Syntactic Topic Models David Blei Department of Computer Science 35 Olden Street Princeton University

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Source URL: www.cs.columbia.edu

Language: English - Date: 2015-03-12 00:16:20
56Final work in the Topics in Natural Language Processing course Vassilii Khachaturov March 12, 2006 Abstract Probabilistic Context Free Grammars and probabilistic parsing are

Final work in the Topics in Natural Language Processing course Vassilii Khachaturov March 12, 2006 Abstract Probabilistic Context Free Grammars and probabilistic parsing are

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Source URL: www.cs.bgu.ac.il

Language: English - Date: 2007-01-10 05:38:17
57Proceedings of the Australasian Language Technology Workshop 2007, pages[removed]Parsing Internal Noun Phrase Structure with Collins’ Models David Vadas and James R. Curran School of Information Technologies Universit

Proceedings of the Australasian Language Technology Workshop 2007, pages[removed]Parsing Internal Noun Phrase Structure with Collins’ Models David Vadas and James R. Curran School of Information Technologies Universit

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Source URL: www.alta.asn.au

Language: English - Date: 2007-11-28 00:58:48
58Structural Expectations in Chinese Relative Clause Comprehension Zhong Chen, Kyle Grove, and John Hale Cornell University  1. Introduction

Structural Expectations in Chinese Relative Clause Comprehension Zhong Chen, Kyle Grove, and John Hale Cornell University 1. Introduction

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Source URL: www.lingref.com

Language: English - Date: 2013-07-01 13:01:19
59Automatic Acquisition of Training Data for Statistical Parsers Susan Howlett and James R. Curran School of Information Technologies University of Sydney NSW 2006, Australia {show0556,james}@it.usyd.edu.au

Automatic Acquisition of Training Data for Statistical Parsers Susan Howlett and James R. Curran School of Information Technologies University of Sydney NSW 2006, Australia {show0556,james}@it.usyd.edu.au

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Source URL: www.alta.asn.au

Language: English - Date: 2008-10-31 17:51:38
60A Generative Constituent-Context Model for Improved Grammar Induction Dan Klein and Christopher D. Manning Computer Science Department Stanford University Stanford, CA[removed] {klein, manning}@cs.stanford.edu

A Generative Constituent-Context Model for Improved Grammar Induction Dan Klein and Christopher D. Manning Computer Science Department Stanford University Stanford, CA[removed] {klein, manning}@cs.stanford.edu

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Source URL: nlp.stanford.edu

Language: English - Date: 2002-06-18 01:11:55