Iskandar Keskes


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Segmenting Arabic Texts into Elementary Discourse Units (Segmentation de textes arabes en unités discursives minimales) [in French]
Iskandar Keskes | Farah Beanamara | Lamia Hadrich Belguith
Proceedings of TALN 2013 (Volume 1: Long Papers)


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Étude comparative entre trois approches de résumé automatique de documents arabes (Comparative Study of Three Approaches to Automatic Summarization of Arabic Documents) [in French]
Iskandar Keskes | Mohamed Mahdi Boudabous | Mohamed Hédi Maaloul | Lamia Hadrich Belguith
Proceedings of the Joint Conference JEP-TALN-RECITAL 2012, volume 2: TALN

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Clause-based Discourse Segmentation of Arabic Texts
Iskandar Keskes | Farah Benamara | Lamia Hadrich Belguith
Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC'12)

This paper describes a rule-based approach to segment Arabic texts into clauses. Our method relies on an extensive analysis of a large set of lexical cues as well as punctuation marks. Our analysis was carried out on two different corpus genres: news articles and elementary school textbooks. We propose a three steps segmentation algorithm: first by using only punctuation marks, then by relying only on lexical cues and finally by using both typology and lexical cues. The results were compared with manual segmentations elaborated by experts.