• DocumentCode
    3256384
  • Title

    Named entity recognition based on a Hidden Markov Model in part-of-speech tagging

  • Author

    Ageishi, Ryohei ; Miura, Takao

  • Author_Institution
    Dept. of Electr. & Electr. Eng., Hosei Univ., Koganei
  • fYear
    2008
  • fDate
    4-6 Aug. 2008
  • Firstpage
    397
  • Lastpage
    402
  • Abstract
    In this investigation, we propose how to combine stochastis process with rule-based techniques to recognize named entity in morphological analysis. We discuss Hidden Markov Model (HMM) for tagging English texts tentatively and we focus our attention on named entity recognition. We discuss rule-based approach over n consecutive words for rule extraction and show the usefulness of our approach by some experimental results.
  • Keywords
    hidden Markov models; logic programming; natural language processing; text analysis; English text tagging; hidden Markov model; morphological analysis; named entity recognition; part-of-speech tagging; rule based techniques; stochastic process; Hidden Markov models; Tagging; Hidden Markov Model; Named Entity; Part-Of-Speech Tagging;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Applications of Digital Information and Web Technologies, 2008. ICADIWT 2008. First International Conference on the
  • Conference_Location
    Ostrava
  • Print_ISBN
    978-1-4244-2623-2
  • Electronic_ISBN
    978-1-4244-2624-9
  • Type

    conf

  • DOI
    10.1109/ICADIWT.2008.4664380
  • Filename
    4664380
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3256384