• DocumentCode
    3172188
  • Title

    Named entity recognition approaches: A study applied to English and Hindi language

  • Author

    Prasad, Gowri ; Fousiya, K.K.

  • Author_Institution
    Comput. Sci. & Eng., Jyothi Eng. Coll., Thrissur, India
  • fYear
    2015
  • fDate
    19-20 March 2015
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Named Entity Recognition is the technique of identifying named entities which are present in documents like names of persons, percentage values, organization names, locations etc. Named Entity Recognition is used for information extraction. There are different approaches for performing the process of named entity recognition. This paper makes a comparative study of different approaches for named entity recognition applied to English and Hindi language corpus. This study is conducted with a view to extend the work and developing an efficient method for named entity recognition in Malayalam language.
  • Keywords
    document handling; natural language processing; support vector machines; English language; Hindi language; Malayalam language; information extraction; named entity recognition approaches; Computers; Context; Entropy; Hidden Markov models; Mathematical model; Support vector machines; Training; Named entities; conditional random field based models; maximum entropy based models; support vector machines;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuit, Power and Computing Technologies (ICCPCT), 2015 International Conference on
  • Conference_Location
    Nagercoil
  • Type

    conf

  • DOI
    10.1109/ICCPCT.2015.7159443
  • Filename
    7159443