Bilel Moulahi

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2018

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LIRMM@DEFT-2018 – Modèle de classification de la vectorisation des documents (LIRMM DEFT-2018 – Document Vectorization Classification model )
Waleed Mohamed Azmy | Bilel Moulahi | Sandra Bringay | Maximilien Servajean
Actes de la Conférence TALN. Volume 2 - Démonstrations, articles des Rencontres Jeunes Chercheurs, ateliers DeFT

Dans ce papier, nous décrivons notre participation au défi d’analyse de texte DEFT 2018. Nous avons participé à deux tâches : (i) classification transport/non-transport et (ii) analyse de polarité globale des tweets : positifs, negatifs, neutres et mixtes. Nous avons exploité un réseau de neurone basé sur un perceptron multicouche mais utilisant une seule couche cachée.

2015

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HeidelToul: A Baseline Approach for Cross-document Event Ordering
Bilel Moulahi | Jannik Strötgen | Michael Gertz | Lynda Tamine
Proceedings of the 9th International Workshop on Semantic Evaluation (SemEval 2015)

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