• DocumentCode
    2476612
  • Title

    A hybrid strategy to protein name recognition

  • Author

    Wang, Haochang ; Zhao, Tiejun

  • Author_Institution
    Coll. of Comput. & Inf. Technol., Daqing Pet. Inst., Daqing
  • fYear
    2008
  • fDate
    25-27 June 2008
  • Firstpage
    627
  • Lastpage
    632
  • Abstract
    This paper presents a comprehensive approach to identifying protein name in biomedical texts. The new method integrated the generalized Winnow algorithm and the heuristic rules to implement of initial detection of protein name. Moreover, the system introduced a statistic method to analyses the reliability of recognized protein boundary, which can be then used for expanding protein boundary which has low confidence. The experimental results show that this algorithm improves the whole performance for protein name recognition and that effective performance can be achieved in identifying boundary of protein name.
  • Keywords
    bibliographic systems; data mining; feature extraction; medical information systems; proteins; statistical analysis; text analysis; MEDLINE; biomedical text; feature selection; generalized Winnow algorithm; heuristic rule; name entity recognition; protein name boundary recognition; statistical method; text mining; Amino acids; Automatic speech recognition; Automation; Biomedical computing; Educational institutions; Information technology; Intelligent control; Petroleum; Proteins; Text recognition; Generalized Winnow; boundary expansion; feature selection; name entity recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
  • Conference_Location
    Chongqing
  • Print_ISBN
    978-1-4244-2113-8
  • Electronic_ISBN
    978-1-4244-2114-5
  • Type

    conf

  • DOI
    10.1109/WCICA.2008.4592995
  • Filename
    4592995