PropBank

Results: 42



#Item
31Can Semantic Roles Generalize Across Genres? Abstract PropBank has been widely used as training data for Semantic Role Labeling. However, because this training data is taken from the WSJ, the resulting machine

Can Semantic Roles Generalize Across Genres? Abstract PropBank has been widely used as training data for Semantic Role Labeling. However, because this training data is taken from the WSJ, the resulting machine

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Source URL: ed.loper.org

Language: English - Date: 2012-12-11 20:41:37
    32Combining Lexical Resources: Mapping Between PropBank and VerbNet Edward Loper,Szu-ting Yi, Martha Palmer September 2006 Using Lexical Information

    Combining Lexical Resources: Mapping Between PropBank and VerbNet Edward Loper,Szu-ting Yi, Martha Palmer September 2006 Using Lexical Information

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    Source URL: ed.loper.org

    Language: English - Date: 2012-12-11 20:41:37
      33Microsoft Word - verbs_paper_FINAL_VERSION.doc

      Microsoft Word - verbs_paper_FINAL_VERSION.doc

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      Source URL: linguistica.sns.it

      Language: English - Date: 2014-06-04 06:13:00
      34MASC: The Manually Annotated Sub-Corpus of American English Nancy Ide*, Collin Baker**, Christiane Fellbaum†, Charles Fillmore**, Rebecca Passonneau†† *Vassar College Poughkeepsie, New York USA **International Comp

      MASC: The Manually Annotated Sub-Corpus of American English Nancy Ide*, Collin Baker**, Christiane Fellbaum†, Charles Fillmore**, Rebecca Passonneau†† *Vassar College Poughkeepsie, New York USA **International Comp

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      Source URL: www.cs.vassar.edu

      Language: English - Date: 2009-03-22 12:57:09
      35Parsing Arguments of Nominalizations in English and Chinese ∗ Sameer Pradhan, Honglin Sun, Wayne Ward, James H. Martin Center for Spoken Language Research, University of Colorado, Boulder, CO 80303

      Parsing Arguments of Nominalizations in English and Chinese ∗ Sameer Pradhan, Honglin Sun, Wayne Ward, James H. Martin Center for Spoken Language Research, University of Colorado, Boulder, CO 80303

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      Source URL: www.stanford.edu

      Language: English - Date: 2004-03-19 12:12:24
      36Unsupervised Learning of Narrative Schemas and their Participants Nathanael Chambers and Dan Jurafsky Stanford University, Stanford, CA 94305 {natec,jurafsky}@stanford.edu Abstract

      Unsupervised Learning of Narrative Schemas and their Participants Nathanael Chambers and Dan Jurafsky Stanford University, Stanford, CA 94305 {natec,jurafsky}@stanford.edu Abstract

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      Source URL: nlp.stanford.edu

      Language: English - Date: 2009-06-26 13:02:34
      37Training a Korean SRL System with Rich Morphological Features Young-Bum Kim, Heemoon Chae, Benjamin Snyder and Yu-Seop Kim* University of Wisconsin-Madison, Hallym University* {ybkim, hmchae21, bsnyder}@cs.wisc.edu, yski

      Training a Korean SRL System with Rich Morphological Features Young-Bum Kim, Heemoon Chae, Benjamin Snyder and Yu-Seop Kim* University of Wisconsin-Madison, Hallym University* {ybkim, hmchae21, bsnyder}@cs.wisc.edu, yski

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      Source URL: pages.cs.wisc.edu

      Language: English - Date: 2014-05-20 00:48:22
      38Unsupervised Discovery of a Statistical Verb Lexicon Trond Grenager and Christopher D. Manning Computer Science Department Stanford University Stanford, CA 94305 {grenager, manning}@cs.stanford.edu

      Unsupervised Discovery of a Statistical Verb Lexicon Trond Grenager and Christopher D. Manning Computer Science Department Stanford University Stanford, CA 94305 {grenager, manning}@cs.stanford.edu

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      Source URL: nlp.stanford.edu

      Language: English - Date: 2006-07-06 16:48:48
      39Automatically Deriving Tectogrammatical Labels from Other Resources A Comparison of Semantic Labels Across Frameworks Owen Rambow Columbia U.

      Automatically Deriving Tectogrammatical Labels from Other Resources A Comparison of Semantic Labels Across Frameworks Owen Rambow Columbia U.

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      Source URL: www.cs.columbia.edu

      Language: English - Date: 2007-12-19 12:53:31
      40Combining Independent Syntactic and Semantic Annotation Schemes Marc Verhagen, Amber Stubbs and James Pustejovsky Computer Science Department Brandeis University, Waltham, USA {marc,astubbs,jamesp}@cs.brandeis.edu

      Combining Independent Syntactic and Semantic Annotation Schemes Marc Verhagen, Amber Stubbs and James Pustejovsky Computer Science Department Brandeis University, Waltham, USA {marc,astubbs,jamesp}@cs.brandeis.edu

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      Source URL: amberstubbs.net

      Language: English - Date: 2012-11-26 10:41:39