• DocumentCode
    2051602
  • Title

    Empirical comparative study to supervised approaches for WSD problem: Survey

  • Author

    Zopon AL Bayaty, Boshra F. ; Joshi, Shashank

  • Author_Institution
    Dept. of Comput. Sci., AL-Mustansiriyah Univ., Baghdad, Iraq
  • fYear
    2015
  • fDate
    May 31 2015-June 4 2015
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    The Internet has become the most important knowledge source, because the popularity of computers and networks. Always the users use some keywords to find out the related topics, at same time spend a lot of time to finding what they really want, and because of the imprecise results of search in the Internet, most studies of web mining method are trying to improving the accuracy of the information gotten from Web search. In this work we implemented the approaches of our proposed implement master-slave voting model, and in this model we selected five robust supervised algorithms, so in this paper we implemented empirically these approaches using WordNet, Senseval-3, and tried make comparative between them.
  • Keywords
    Internet; data mining; learning (artificial intelligence); natural language processing; search engines; Senseval-3; WSD problem; Web mining method; Web search; WordNet; empirical analysis; information accuracy improvement; internet search; knowledge source; master-slave voting model; robust supervised algorithms; word sense disambiguation; Accuracy; Algorithm design and analysis; Classification algorithms; Context; Decision trees; Machine learning algorithms; Support vector machines; Accuracy; Natural Language Processing (NLP); Senseval- 3; Supervised Approaches; Web; Word Sense Disambiguation (WSD); WordNet;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Humanitarian Technology Conference (IHTC2015), 2015 IEEE Canada International
  • Conference_Location
    Ottawa, ON
  • Print_ISBN
    978-1-4799-8961-4
  • Type

    conf

  • DOI
    10.1109/IHTC.2015.7238056
  • Filename
    7238056