• DocumentCode
    1721694
  • Title

    Extracting person names from Arabic newspapers

  • Author

    Elsebai, Ali ; Meziane, Farid

  • Author_Institution
    Comput. Sci. Dept., Al-Imam Muhammad Ibn Saud Univ., Riyadh, Saudi Arabia
  • fYear
    2011
  • Firstpage
    87
  • Lastpage
    89
  • Abstract
    Named Entity recognition is very new in the Arabic Language although it has reached the maturity stage for some other languages such as English and French. In this paper, we describe the development and implementation of a person name named entity recognition system for the Arabic Language. We use heuristics based on a set of keywords rather than complex grammars, statistical and machine learning techniques. However, the results obtained are of the same standards or better in some cases as those systems that are using more sophisticated approaches.
  • Keywords
    information retrieval; natural language processing; Arabic Language; Arabic newspapers; named entity recognition; person name extraction; Catalogs; Cities and towns; Data mining; Grammar; Logic gates; Natural language processing; Standards; Arabic Information Extraction; Named Entity Recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Innovations in Information Technology (IIT), 2011 International Conference on
  • Conference_Location
    Abu Dhabi
  • Print_ISBN
    978-1-4577-0311-9
  • Type

    conf

  • DOI
    10.1109/INNOVATIONS.2011.5893875
  • Filename
    5893875