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dc.contributor.authorAlruily, Meshrifen
dc.contributor.authorAyesh, Aladdin, 1972-en
dc.contributor.authorZedan, Husseinen
dc.date.accessioned2015-09-07T09:13:20Z
dc.date.available2015-09-07T09:13:20Z
dc.date.issued2011
dc.identifier.citationAlruily, 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.en
dc.identifier.issn0976-416X
dc.identifier.issn0976-4178
dc.identifier.urihttp://www.dline.info/jcl/fulltext/v2n2/4.pdf
dc.identifier.urihttp://hdl.handle.net/2086/11188
dc.description.abstractIn 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.en
dc.language.isoenen
dc.publisherDigital Information Research Foundation.en
dc.titleArabic language in the context of information extraction task.en
dc.typeArticleen
dc.peerreviewedYesen
dc.funderN/Aen
dc.projectidN/Aen
dc.researchinstituteCyber Technology Institute (CTI)en
dc.researchinstituteInstitute of Artificial Intelligence (IAI)en


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