• DocumentCode
    1955347
  • Title

    Linguistic Features for Named Entity Recognition Using CRFs

  • Author

    Ram, R. Vijay Sundar ; Akilandeswari, A. ; Devi, Sobha Lalitha

  • Author_Institution
    AU-KBC Res. Centre, Anna Univ., Chennai, India
  • fYear
    2010
  • fDate
    28-30 Dec. 2010
  • Firstpage
    158
  • Lastpage
    161
  • Abstract
    We present a work on identification and classification of Named Entities in Tamil, a morphologically rich language. Here we have used a machine learning technique, Conditional Random Fields (CRFs) for this task. We discuss here about the linguistic features used in CRFs for this morphologically rich language.
  • Keywords
    computational linguistics; learning (artificial intelligence); natural language processing; CRF; Tamil; conditional random field; linguistic feature; machine learning; named entity recognition; Cities and towns; Context; Engines; Machine learning; Pragmatics; Syntactics; Training; CRFs; Feature; Morphologically rich; Named Entitiy Recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Asian Language Processing (IALP), 2010 International Conference on
  • Conference_Location
    Harbin
  • Print_ISBN
    978-1-4244-9063-9
  • Type

    conf

  • DOI
    10.1109/IALP.2010.41
  • Filename
    5681603
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1955347