Events Automatic Extraction from Arabic Texts

Emna Hkiri, Souheyl Mallat and Mounir Zrigui
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Emna Hkiri: Faculty of Sciences, University of Monastir, Monastir, Tunisia
Souheyl Mallat: Faculty of Sciences, University of Monastir, Monastir, Tunisia
Mounir Zrigui: Faculty of Sciences, University of Monastir, Monastir, Tunisia

International Journal of Information Retrieval Research (IJIRR), 2016, vol. 6, issue 1, 36-51

Abstract: The event extraction task consists in determining and classifying events within an open-domain text. It is very new for the Arabic language, whereas it attained its maturity for some languages such as English and French. Events extraction was also proved to help Natural Language Processing tasks such as Information Retrieval and Question Answering, text mining, machine translation etc… to obtain a higher performance. In this article, we present an ongoing effort to build a system for event extraction from Arabic texts using Gate platform and other tools.

Date: 2016
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Persistent link: https://EconPapers.repec.org/RePEc:igg:jirr00:v:6:y:2016:i:1:p:36-51

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