Ibrahim Bounhas


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A Benchmark and Scoring Algorithm for Enriching Arabic Synonyms
Sana Ghanem | Mustafa Jarrar | Radi Jarrar | Ibrahim Bounhas
Proceedings of the 12th Global Wordnet Conference

This paper addresses the task of extending a given synset with additional synonyms taking into account synonymy strength as a fuzzy value. Given a mono/multilingual synset and a threshold (a fuzzy value [0−1]), our goal is to extract new synonyms above this threshold from existing lexicons. We present twofold contributions: an algorithm and a benchmark dataset. The dataset consists of 3K candidate synonyms for 500 synsets. Each candidate synonym is annotated with a fuzzy value by four linguists. The dataset is important for (i) understanding how much linguists (dis/)agree on synonymy, in addition to (ii) using the dataset as a baseline to evaluate our algorithm. Our proposed algorithm extracts synonyms from existing lexicons and computes a fuzzy value for each candidate. Our evaluations show that the algorithm behaves like a linguist and its fuzzy values are close to those proposed by linguists (using RMSE and MAE). The dataset and a demo page are publicly available at https://portal.sina.birzeit.edu/synonyms.


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Evaluation of a possibilistic classification approach for Arabic texts disambiguation (Evaluation d’une approche de classification possibiliste pour la désambiguïsation des textes arabes) [in French]
Raja Ayed | Ibrahim Bounhas | Bilel Elayeb | Narjès Bellamine Ben Saoud | Fabrice Evrard
Proceedings of TALN 2014 (Volume 1: Long Papers)


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A Possibilistic Approach for Automatic Word Sense Disambiguation
Oussama Ben Khiroun | Bilel Elayeb | Ibrahim Bounhas | Fabrice Evrard | Narjès Bellamine Ben Saoud
Proceedings of the 24th Conference on Computational Linguistics and Speech Processing (ROCLING 2012)