• DocumentCode
    476756
  • Title

    SRL TOOL: Heuristics-based Semantic Role Labeling through natural language processing

  • Author

    Omar, Nazlia ; Hasbullah, Siti Salwa

  • Author_Institution
    Department Of Computer Science, The Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia, 43600 UKM Bangi, Selangor, Malaysia
  • Volume
    2
  • fYear
    2008
  • fDate
    26-28 Aug. 2008
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    The Semantic Role Labeling (SRL Tool) is developed to label the semantic roles that exist in English sentences. This paper proposed a set of new heuristics to assist the semantic role labeling using natural language processing. The preliminary result shows that the use of heuristics can improve the process of assigning the correct semantic roles. This application tool is useful for researchers in Natural Language processing field and also for experts or students in Linguistics.
  • Keywords
    Books; Computational linguistics; Computer science; Humans; Information science; Joining processes; Labeling; Lifting equipment; Natural language processing; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Technology, 2008. ITSim 2008. International Symposium on
  • Conference_Location
    Kuala Lumpur, Malaysia
  • Print_ISBN
    978-1-4244-2327-9
  • Electronic_ISBN
    978-1-4244-2328-6
  • Type

    conf

  • DOI
    10.1109/ITSIM.2008.4631716
  • Filename
    4631716
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=476756