• DocumentCode
    1849637
  • Title

    Linking online dictionaries to Wikipedia

  • Author

    Tran, Vinh Q. ; Cao, Tru H.

  • Author_Institution
    Univ. of Technol. - VNUHCM, Ho Chi Minh City, Vietnam
  • fYear
    2015
  • fDate
    25-28 Jan. 2015
  • Firstpage
    30
  • Lastpage
    34
  • Abstract
    In a dictionary, a word can have different senses, and each sense is described by a gloss. However, a gloss is short and may not be satisfactorily informative to users. Meanwhile, mostly each word sense has a corresponding article in Wikipedia that contains rich information about the concept expressed by the word sense. In this work, we propose two different methods to link online dictionary word senses to the appropriate Wikipedia articles, namely, text similarity and machine learning. Experimental results on Wiktionary and Oxford English Dictionary are also presented.
  • Keywords
    Web sites; dictionaries; learning (artificial intelligence); natural language processing; text analysis; Oxford English Dictionary; Wikipedia articles; Wiktionary; concept information; entity disambiguation; gloss; machine learning; online dictionary; text similarity; word sense; Context; Dictionaries; Electronic publishing; Encyclopedias; Internet; Semantics; Wiktionary; WordNet; entity disambiguation; machine learning; text similarity; word sense;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computing & Communication Technologies - Research, Innovation, and Vision for the Future (RIVF), 2015 IEEE RIVF International Conference on
  • Conference_Location
    Can Tho
  • Print_ISBN
    978-1-4799-8043-7
  • Type

    conf

  • DOI
    10.1109/RIVF.2015.7049870
  • Filename
    7049870