• DocumentCode
    1897638
  • Title

    Named Entity Recognition by Conditional Random Fields from Turkish informal texts

  • Author

    Özkaya, Serap ; Diri, Banu

  • Author_Institution
    Bilgisayar Muhendisligi Bolumu, Yildiz Teknik Univ., İstanbul, Turkey
  • fYear
    2011
  • fDate
    20-22 April 2011
  • Firstpage
    662
  • Lastpage
    665
  • Abstract
    Named Entity Recognition (NER) being one of the areas of Natural Language processing can be domain dependent or independent for formal and informal texts aims to extract information about name entity such as person, location, organization, dates, formula and money. Rule Based methods and machine learning methods can be implemented in the system. In this study, Conditional Random Fields has been used to extract name entities which are person, location and organization names from informal texts.
  • Keywords
    information retrieval; learning (artificial intelligence); natural language processing; text analysis; Turkish informal texts; conditional random fields; information extraction; machine learning methods; named entity recognition; natural language processing; rule based methods; Conferences; Data mining; Java; Markov processes; Natural language processing; Signal processing; Text recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and Communications Applications (SIU), 2011 IEEE 19th Conference on
  • Conference_Location
    Antalya
  • Print_ISBN
    978-1-4577-0462-8
  • Electronic_ISBN
    978-1-4577-0461-1
  • Type

    conf

  • DOI
    10.1109/SIU.2011.5929737
  • Filename
    5929737
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1897638