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Machine learning has become the predominant problem-solving strategy for computational linguistics problems in the last decade. In this paper, we present an implemented machine learning system for the automatic identification of non-referential pronouns in Arabic texts. Our system is based on a Bayesian network which has shown its efficiency for modeling(More)
Annotated resources are much needed for evaluation and training of anaphora resolution systems. The coreferential chain annotation is a difficult task which can not be realised without an appropriate tool. In this paper, we present our work on Arabic corpora annotation with anaphoric links (i.e., the annotation of the identity relation between the anaphors(More)
Dans cet article, nous proposons une méthode hybride pour la reconnaissance des entités nommées pour la langue arabe. Cette méthode profite, d'une part, des avantages de l'utilisation d'une méthode d'apprentissage pour extraire des règles permettant l'identification et la classification des entités nommées. D'autre part, elle repose sur un ensemble de(More)
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