• DocumentCode
    3301606
  • Title

    Biological Entity Boundary Detection Using ME Model

  • Author

    Wang, Jian ; Ju, Zhenfei ; Zhu, Fei

  • Author_Institution
    Sch. of Comput. Sci. & Technol., Soochow Univ., Suzhou, China
  • fYear
    2011
  • fDate
    19-21 May 2011
  • Firstpage
    1
  • Lastpage
    3
  • Abstract
    The maximum entropy model as a statistical method is effectively used in many fields. It has many features: for example, subtle features can be controlled, reusable, simple and so easy to understand and so on. This model was first introduced during the sentence segmentation. In this paper, an example of the introduction of the concept of maximum entropy model, about the maximum entropy model was applied to biomedical text sentence split. In addition, compared to the general sentence segmentation to the ME model, to illustrate the advantages of the introduction of maximum entropy model.
  • Keywords
    maximum entropy methods; medical computing; natural language processing; statistical analysis; text analysis; biological entity boundary detection; biomedical text sentence split; maximum entropy model; sentence segmentation; statistical method; Bayesian methods; Bioinformatics; Biological system modeling; Computational modeling; Conferences; Entropy; Protein engineering;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer and Management (CAMAN), 2011 International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-9282-4
  • Type

    conf

  • DOI
    10.1109/CAMAN.2011.5778756
  • Filename
    5778756