Evaluating and Improving the Reasoning Abilities of Language Models. (Evaluation et amélioration des capacités de raisonnement des Modèles de Langage).
PhD thesis, 2024
MAFALDA: A Benchmark and Comprehensive Study of Fallacy Detection and Classification.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024
LogiTorch: A PyTorch-based library for logical reasoning on natural language.
Proceedings of the The 2022 Conference on Empirical Methods in Natural Language Processing, 2022
TINA: Textual Inference with Negation Augmentation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022
Reasoning with Transformer-based Models: Deep Learning, but Shallow Reasoning.
Proceedings of the 3rd Conference on Automated Knowledge Base Construction, 2021
A Semi-Supervised BERT Approach for Arabic Named Entity Recognition.
Proceedings of the Fifth Arabic Natural Language Processing Workshop, 2020
A Deep Learning Approach to Detect the Demarcation Line in OCT Images.
Proceedings of the Medical Image Understanding and Analysis - 24th Annual Conference, 2020
Arabic named entity recognition via deep co-learning.
Artif. Intell. Rev., 2019
Assessing Arabic Weblog Credibility via Deep Co-learning.
Proceedings of the Fourth Arabic Natural Language Processing Workshop, 2019
CCS Coding of Discharge Diagnoses via Deep Neural Networks.
Proceedings of the 2017 International Conference on Digital Health, 2017
Reconfigurable and Adaptive Spark Applications.
Proceedings of the CLOSER 2017, 2017
Methodical Evaluation of Arabic Word Embeddings.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017