• DocumentCode
    2052078
  • Title

    Mapping Verbal Argument Preferences to Deverbals

  • Author

    Gurevich, Olga ; Waterman, Scott A.

  • Author_Institution
    Microsoft / Powerset, San Francisco, CA, USA
  • fYear
    2009
  • fDate
    14-16 Sept. 2009
  • Firstpage
    17
  • Lastpage
    24
  • Abstract
    We describe an experiment mapping semantic role preferences for transitive verbs to their deverbal nominal forms. The preferences are learned by data mining large parsed corpora. Preferences are modeled for deverbal/argument pairs, falling back to a model for the deverbal alone when sufficient data is not available. Errors in role assignment are reduced by 35%.
  • Keywords
    computational linguistics; data mining; grammars; natural language processing; data mining; deverbal nominal forms; deverbal pairs; large parsed corpora; semantic role preference mapping; transitive verbs; verbal argument preference mapping; Data mining; Humans; Internet; Knowledge based systems; Natural language processing; Predictive models; Speech; Training data; USA Councils; Wikipedia; data mining; deverbal nouns; natural language processing; semantic role labeling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Semantic Computing, 2009. ICSC '09. IEEE International Conference on
  • Conference_Location
    Berkeley, CA
  • Print_ISBN
    978-1-4244-4962-0
  • Electronic_ISBN
    978-0-7695-3800-6
  • Type

    conf

  • DOI
    10.1109/ICSC.2009.88
  • Filename
    5298531
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2052078