Stochastic context-free grammar

Results: 131



#Item
41Coarse-to-fine n-best parsing and MaxEnt discriminative reranking Eugene Charniak and Mark Johnson Brown Laboratory for Linguistic Information Processing (BLLIP) Brown University Providence, RI 02912 {mj|ec}@cs.brown.edu

Coarse-to-fine n-best parsing and MaxEnt discriminative reranking Eugene Charniak and Mark Johnson Brown Laboratory for Linguistic Information Processing (BLLIP) Brown University Providence, RI 02912 {mj|ec}@cs.brown.edu

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Source URL: www.aclweb.org

Language: English - Date: 2010-06-15 02:43:49
42Attendee information Seven Lectures on Statistical Parsing Christopher Manning LSA Linguistic Institute 2007 LSA 354

Attendee information Seven Lectures on Statistical Parsing Christopher Manning LSA Linguistic Institute 2007 LSA 354

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Source URL: nlp.stanford.edu

Language: English - Date: 2007-07-13 16:00:00
43Head-Driven Statistical Models for Natural Language Parsing Michael Collins∗ MIT Computer Science and Artificial Intelligence Laboratory

Head-Driven Statistical Models for Natural Language Parsing Michael Collins∗ MIT Computer Science and Artificial Intelligence Laboratory

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Source URL: www.aclweb.org

Language: English - Date: 2010-06-14 18:49:53
441. Generalized CKY Parsing Treebank empties and unaries Seven Lectures on Statistical Parsing Christopher Manning LSA Linguistic Institute 2007

1. Generalized CKY Parsing Treebank empties and unaries Seven Lectures on Statistical Parsing Christopher Manning LSA Linguistic Institute 2007

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Source URL: nlp.stanford.edu

Language: English - Date: 2007-07-17 10:50:22
45Recognizing Plans with Loops Represented in a Lexicalized Grammar

Recognizing Plans with Loops Represented in a Lexicalized Grammar

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Source URL: rpgoldman.goldman-tribe.org

Language: English - Date: 2011-08-12 18:54:30
46From Baby Steps to Leapfrog: How “Less is More” in Unsupervised Dependency Parsing∗ Valentin I. Spitkovsky Stanford University and Google Inc.

From Baby Steps to Leapfrog: How “Less is More” in Unsupervised Dependency Parsing∗ Valentin I. Spitkovsky Stanford University and Google Inc.

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Source URL: nlp.stanford.edu

Language: English - Date: 2010-05-07 02:56:48
47Microsoft Word - IBSAI NNets, Gene, NLP.doc

Microsoft Word - IBSAI NNets, Gene, NLP.doc

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Source URL: www.foibg.com

Language: English - Date: 2015-02-02 08:45:45
48Capitalization Cues Improve Dependency Grammar Induction Valentin I. Spitkovsky Stanford University and Google Inc.   Hiyan Alshawi

Capitalization Cues Improve Dependency Grammar Induction Valentin I. Spitkovsky Stanford University and Google Inc. Hiyan Alshawi

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Source URL: nlp.stanford.edu

Language: English - Date: 2012-06-10 02:17:04
49Viterbi Training Improves Unsupervised Dependency Parsing Valentin I. Spitkovsky Computer Science Department Stanford University and Google Inc.

Viterbi Training Improves Unsupervised Dependency Parsing Valentin I. Spitkovsky Computer Science Department Stanford University and Google Inc.

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Source URL: nlp.stanford.edu

Language: English - Date: 2010-05-07 03:00:45
50Unsupervised 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