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    Arabic language in the context of information extraction task.

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    Date
    2011
    Author
    Alruily, Meshrif;
    Ayesh, Aladdin, 1972-;
    Zedan, Hussein
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    Abstract
    In the past few years, researchers have started paying attention to the Arabic language. In this paper we review information extraction systems that were developed for the Arabic to extract predefined entities. A comparisons are conducted between these systems in terms of their performance in extracting the common entities, the approach used whether rule-based or machine learning and type of corpus.
    Description
    Citation : Alruily, M., Ayesh, A. and Zedan, H. (2011) Arabic language in the context of information extraction task. International Journal of Computational Linguistics Research. Vol. 2(2), pp. 83-90.
    URI
    http://www.dline.info/jcl/fulltext/v2n2/4.pdf
    http://hdl.handle.net/2086/11188
    ISSN : 0976-416X
    0976-4178
    Research Institute : Cyber Technology Institute (CTI)
    Research Institute : Institute of Artificial Intelligence (IAI)
    Peer Reviewed : Yes
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    • School of Computer Science and Informatics [2966]

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