Arabic language in the context of information extraction task.

Date

2011

Advisors

Journal Title

Journal ISSN

ISSN

0976-416X
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.

Rights

Research Institute