Stochastic grammar

Results: 143



#Item
31Deep Learning for NLP Stephen Pulman Dept. of Computer Science, Oxford University and TheySay Ltd ,  @sgpulman

Deep Learning for NLP Stephen Pulman Dept. of Computer Science, Oxford University and TheySay Ltd , @sgpulman

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Source URL: www.sentimentsymposium.com

Language: English - Date: 2014-03-12 10:33:45
32Improved Large Margin Dependency Parsing via Local Constraints and Laplacian Regularization Qin Iris Wang Colin Cherry Dan Lizotte

Improved Large Margin Dependency Parsing via Local Constraints and Laplacian Regularization Qin Iris Wang Colin Cherry Dan Lizotte

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Source URL: webdocs.cs.ualberta.ca

Language: English - Date: 2006-04-29 22:20:23
33Seven Lectures on Statistical Parsing  A bit more on lexicalized parsing Christopher Manning LSA Linguistic Institute 2007

Seven Lectures on Statistical Parsing A bit more on lexicalized parsing Christopher Manning LSA Linguistic Institute 2007

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Source URL: nlp.stanford.edu

Language: English - Date: 2007-07-24 03:01:28
34Statistical parsing inference: The General Problem Seven Lectures on Statistical Parsing • Someone gives you a PCFG G • For any given sentence, you might want to:

Statistical parsing inference: The General Problem Seven Lectures on Statistical Parsing • Someone gives you a PCFG G • For any given sentence, you might want to:

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Source URL: nlp.stanford.edu

Language: English - Date: 2007-08-06 23:23:06
35Seven Lectures on Statistical Parsing  Treebanks and linguistic theory Christopher Manning LSA Linguistic Institute 2007

Seven Lectures on Statistical Parsing Treebanks and linguistic theory Christopher Manning LSA Linguistic Institute 2007

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Source URL: nlp.stanford.edu

Language: English - Date: 2007-08-06 23:23:24
36Morphological Features for Parsing Morphologically-rich Languages: A Case of Arabic Jon Dehdari Department of Linguistics The Ohio State University

Morphological Features for Parsing Morphologically-rich Languages: A Case of Arabic Jon Dehdari Department of Linguistics The Ohio State University

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Source URL: aclweb.org

Language: English - Date: 2011-10-03 03:55:31
37LSA 354: Statistical Parsing: Problem Set [Some of these problems are borrowed with thanks from Michael Collins and Regina Barzilay.] Question 1 Let’s use a very simple grammar (where S is the start symbol, and termina

LSA 354: Statistical Parsing: Problem Set [Some of these problems are borrowed with thanks from Michael Collins and Regina Barzilay.] Question 1 Let’s use a very simple grammar (where S is the start symbol, and termina

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Source URL: nlp.stanford.edu

Language: English - Date: 2007-07-10 03:17:11
38Strictly Lexical Dependency Parsing Qin Iris Wang and Dale Schuurmans Dekang Lin  Department of Computing Science

Strictly Lexical Dependency Parsing Qin Iris Wang and Dale Schuurmans Dekang Lin Department of Computing Science

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Source URL: webdocs.cs.ualberta.ca

Language: English - Date: 2006-08-14 16:51:14
39A* Parsing: Fast Exact Viterbi Parse Selection Dan Klein Computer Science Department Stanford University Stanford, CA

A* Parsing: Fast Exact Viterbi Parse Selection Dan Klein Computer Science Department Stanford University Stanford, CA

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Source URL: nlp.stanford.edu

Language: English - Date: 2003-04-01 00:33:16
40Introduction FSNLP, chapter 1 Christopher Manning and Hinrich Schütze © 1999–2002 1

Introduction FSNLP, chapter 1 Christopher Manning and Hinrich Schütze © 1999–2002 1

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Source URL: nlp.stanford.edu

Language: English - Date: 2015-02-22 12:44:10