Statistical parsing

Results: 170



#Item
21Assigning Deep Lexical Types Using Structured Classifier Features for Grammatical Dependencies Jo˜ao Silva University of Lisbon Dept. Informatics, Faculty of Sciences Campo Grande, Lisboa, Portugal

Assigning Deep Lexical Types Using Structured Classifier Features for Grammatical Dependencies Jo˜ao Silva University of Lisbon Dept. Informatics, Faculty of Sciences Campo Grande, Lisboa, Portugal

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Source URL: www.di.fc.ul.pt

Language: English - Date: 2016-05-03 09:03:20
22Parsing Coordinations ¨ Sandra Kubler Indiana University

Parsing Coordinations ¨ Sandra Kubler Indiana University

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Source URL: cl.indiana.edu

Language: English - Date: 2009-04-22 13:37:26
23Domain Adaptation for Parsing ¨ Sandra Kubler Levi King Eric Baucom Indiana University

Domain Adaptation for Parsing ¨ Sandra Kubler Levi King Eric Baucom Indiana University

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Source URL: cl.indiana.edu

Language: English - Date: 2014-07-28 14:34:07
24NLTK Module October 25, Module name

NLTK Module October 25, Module name

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Source URL: curric.dlib.vt.edu

Language: English - Date: 2011-01-19 20:54:37
25New Initiative: The Naturalness of Software Premkumar Devanbu Department of Computer Science UC Davis, Davis, CA, 95616 Email:

New Initiative: The Naturalness of Software Premkumar Devanbu Department of Computer Science UC Davis, Davis, CA, 95616 Email:

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Source URL: macbeth.cs.ucdavis.edu

Language: English - Date: 2015-02-19 07:32:24
26Statistical models for natural language parsing Mark Johnson Microsoft Research / Brown University  July 2007

Statistical models for natural language parsing Mark Johnson Microsoft Research / Brown University July 2007

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Source URL: web.science.mq.edu.au

Language: English - Date: 2010-09-12 19:58:39
    27In Proc. North American Chap. Assoc. Computational Linguistics and Human Language Technology Conf. (HLT-NAACLInducing History Representations for Broad Coverage Statistical Parsing  James Henderson

    In Proc. North American Chap. Assoc. Computational Linguistics and Human Language Technology Conf. (HLT-NAACLInducing History Representations for Broad Coverage Statistical Parsing James Henderson

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    Source URL: cui.unige.ch

    Language: English - Date: 2003-03-31 03:34:03
      28INTERNAL DRAFT – NOT FOR PUBLICATION OR DISTRIBUTION Dave Kauchak, Joseph Smarr, Charles Elkan Sources of Success for Information Extraction Methods

      INTERNAL DRAFT – NOT FOR PUBLICATION OR DISTRIBUTION Dave Kauchak, Joseph Smarr, Charles Elkan Sources of Success for Information Extraction Methods

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      Source URL: josephsmarr.com

      Language: English - Date: 2007-09-05 22:15:00
      29Statistical Parsing  A Context-Free Grammar S VP VP

      Statistical Parsing A Context-Free Grammar S VP VP

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      Source URL: www1.cs.columbia.edu

      Language: English - Date: 2010-10-26 14:02:07
        30Language-Independent Discriminative Parsing of Temporal Expressions Gabor Angeli Stanford University Stanford, CA 94305

        Language-Independent Discriminative Parsing of Temporal Expressions Gabor Angeli Stanford University Stanford, CA 94305

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        Source URL: stanford.edu

        Language: English - Date: 2013-05-16 02:40:44