Events Automatic Extraction from Arabic Texts

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.

Semantic and Contextual Knowledge Representation for Lexical Disambiguation: Case of Arabic-French Query Translation

“…Several studies have been conducted to evaluate and improve the translation of named entities (NE) [43], [44], Ling et al (2011) and Rauf (2012). The basic idea of our approach is quite similar to that of Hálek et al (2011) who conducted a preliminary study to improve the automatic translation of named entities in Czech with Wikipedia.…”

A Heuristic Approach to Detect and Localize Text on Arabic News Video

“…However, text detection and localization in a video frame is still a challenging problem due to the numerous difficulties resulting from a variety of text features (size, color and style), the presence of complex background and conditions of video acquisition. Although many methods have been proposed to detect embedded text, few methods are designed for text detection in Arabic news videos, due to Arabic language complexity and specific characteristics [8,10,7]. Indeed, the Arabic script is cursive and has various diacritical.…”