Arabic language in the context of information extraction task.
Date
2011
Advisors
Journal Title
Journal ISSN
ISSN
0976-416X
0976-4178
0976-4178
DOI
Volume Title
Publisher
Digital Information Research Foundation.
Type
Article
Peer reviewed
Yes
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
Keywords
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.