• DocumentCode
    1903437
  • Title

    A Survey of State of the Art Biomedical Text Mining Techniques for Semantic Analysis

  • Author

    Dai, Hong Jie ; Lin, Jaimie Yi Wen ; Huang, Chi Hsin ; Chou, Pei Hsuan ; Tsai, Richard Tzong Han ; Hsu, Wen Lian

  • Author_Institution
    Inst. of Inf. Sci., Acad. Sinica, Taipei
  • fYear
    2008
  • fDate
    11-13 June 2008
  • Firstpage
    410
  • Lastpage
    417
  • Abstract
    The abstract is to be in fully-justified italicized text, at the top of the left-hand column as it is here, below the author information. Use the word "Abstract" as the title, in 12-point Times, boldface type, centered relative to the column, initially capitalized. The abstract is to be in 10-point, single-spaced type, and up to 150 words in length. Leave two blank lines after the abstract, then begin the main text.
  • Keywords
    biology computing; text analysis; abstract; art biomedical text mining techniques; semantic analysis; Biomedical computing; Biosensors; Computer networks; Computer science; Data mining; Hidden Markov models; Pervasive computing; Tagging; Text mining; Web services; Named Entity Recognition; Natural Language Processing; Relation Extraction; Semantic Role Labelling; Text Mining;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Sensor Networks, Ubiquitous and Trustworthy Computing, 2008. SUTC '08. IEEE International Conference on
  • Conference_Location
    Taichung
  • Print_ISBN
    978-0-7695-3158-8
  • Electronic_ISBN
    978-0-7695-3158-8
  • Type

    conf

  • DOI
    10.1109/SUTC.2008.86
  • Filename
    4545794
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1903437