• DocumentCode
    3105344
  • Title

    A Terminology Tagging System Using Knowledge in an Encyclopedia

  • Author

    Bae, Young-Jun ; Im, Ji-Hui ; Ock, Cheol-Young ; Shim, Kang-seop ; Kim, Dong-Myoung ; Choe, Ho-Seop

  • fYear
    2007
  • fDate
    22-24 Aug. 2007
  • Firstpage
    177
  • Lastpage
    182
  • Abstract
    In this paper, we developed a terminology tagging system using knowledge in an encyclopedia on web.Using the encyclopedia we first of all, constructed a terminology tagged corpus. The terminology tag sets consist of category information of terminology and identification in the encyclopedia. The corpus was used to extract context rules and heuristic rules for terminology tagging system and to be as an answer set for evaluating the system.The context rules and heuristic rules are automatically extracted from the terminology tagged corpus and heuristic rules according to the syntactic patterns and morphological characteristics. The terminology tagging system uses the context rules, heuristic rules and dictionary of postposition and ending of a word instead of morphological analyzer for faster system.The terminology tagging system is evaluated using the tagged corpus and its precision is resulted in 98.0%.
  • Keywords
    Data mining; Databases; Dictionaries; Encyclopedias; Information technology; Internet; Natural languages; Statistical analysis; Tagging; Terminology; terminology tagging systemterminology tag settagging ruleterminology tagged corpus;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Language Processing and Web Information Technology, 2007. ALPIT 2007. Sixth International Conference on
  • Conference_Location
    Luoyang, Henan, China
  • Print_ISBN
    978-0-7695-2930-1
  • Type

    conf

  • DOI
    10.1109/ALPIT.2007.62
  • Filename
    4460636