• DocumentCode
    3109832
  • Title

    A Method for Recommending the Most Appropriate Expansion of Acronyms Using Wikipedia

  • Author

    Dongjin Choi ; Juhyun Shin ; Eunji Lee ; Pankoo Kim

  • Author_Institution
    Dept. of Comput. Eng., Chosun Univ., Gwangju, South Korea
  • fYear
    2013
  • fDate
    3-5 July 2013
  • Firstpage
    217
  • Lastpage
    220
  • Abstract
    Over the years, many researchers have been studied to detect expansions of acronyms in texts by using linguistic and syntactical approaches in order to overcome disambiguation problems. Acronym is an abbreviation formed which is composed of initial components of single or multiple words. These initial components bring huge mistakes when a machine conducts experiments to find meaning from given texts. Detecting expansions of acronyms is not a big issue now days. The problem is that a polysemous acronym. In order to solve this problem, this paper proposes a method to recommend the most related expansion of acronym through analyzing co-occurrence words by using Wikipedia. Our goal is not finding acronym definition or expansion but recommending the most appropriate expansion of given acronyms.
  • Keywords
    Web sites; data mining; information retrieval; text analysis; word processing; Wikipedia; acronym expansion detection; cooccurrence word analysis; disambiguation problem; polysemous acronym; text analysis; Abstracts; Broadcasting; Electronic publishing; Encyclopedias; Internet; Terminology; Acronym expansion; Acronyms; Information extraction; Text mining; Wikipedia;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Innovative Mobile and Internet Services in Ubiquitous Computing (IMIS), 2013 Seventh International Conference on
  • Conference_Location
    Taichung
  • Type

    conf

  • DOI
    10.1109/IMIS.2013.44
  • Filename
    6603675