• DocumentCode
    1933231
  • Title

    Named entity recognition in vietnamese text using label propagation

  • Author

    Huong Thanh Le ; Sam, Rathany Chan ; Hoan Cong Nguyen ; Thuy Thanh Nguyen

  • Author_Institution
    Hanoi Univ. of Sci. & Technol., Hanoi, Vietnam
  • fYear
    2013
  • fDate
    15-18 Dec. 2013
  • Firstpage
    366
  • Lastpage
    370
  • Abstract
    This paper presents our named entity recognition system for Vietnamese text using labeled propagation. In here we propose: (i) a method of choosing noun phrases as the named entity candidates; (ii) a method to measure the word similarity; and (iii) a method of decreasing the effect of high frequency labels in labeled documents. Experimental results show that our labeled propagate method achieves higher accuracy than the old one [12]. In addition, when the number of the labeled data is small, its accuracy is higher than when using conditional random fields.
  • Keywords
    learning (artificial intelligence); natural language processing; text analysis; Vietnamese text; label propagation; labeled documents; named entity candidates; named entity recognition; noun phrases; word similarity measurement; Accuracy; Context; Frequency measurement; Semantics; Semisupervised learning; Supervised learning; Text recognition; Named entity recognition; labeled propagation; semi-supervised learning; words similarity;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Soft Computing and Pattern Recognition (SoCPaR), 2013 International Conference of
  • Conference_Location
    Hanoi
  • Print_ISBN
    978-1-4799-3399-0
  • Type

    conf

  • DOI
    10.1109/SOCPAR.2013.7054160
  • Filename
    7054160