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Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Events Automatic Extraction from Arabic Texts

Events Automatic Extraction from Arabic Texts
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Author(s): Emna Hkiri (University of Monastir, Tunisia), Souheyl Mallat (University of Monastir, Tunisia)and Mounir Zrigui (University of Monastir, Tunisia)
Copyright: 2020
Pages: 19
Source title: Natural Language Processing: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-7998-0951-7.ch078

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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.

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