Amal Zouaq
Full Professor
Department of Computer Engineering and Software Engineering
Department of Computer Engineering and Software Engineering
Areas of expertise
Artificial intelligence
Artificial intelligence
Primary sphere of excellence in research
Modeling and Artificial Intelligence
Modeling and Artificial Intelligence
Secondary sphere(s) of excellence in research
Human Health Information and Communication Technologies
Human Health Information and Communication Technologies
Student research project(s)
Research interests and affiliations
Research interests
- Artificial intelligence
- Natural Langage Processing
- Semantic Web
Affiliation(s)
- LAMA-WeST (Web, Semantics and Text), Director
- Institut de valorisation des données (IVADO), Member
- MILA, Associate member
Expertise type(s) (NSERC subjects)
- 2800 ARTIFICIAL INTELLIGENCE (Computer Vision, use 2603)
Publications
Recent publications
Journal article
Journal article
Conference paper
Conference paper
Diallo, P. A. K. K., Reyd, S., & Zouaq, A. (2024). A comprehensive evaluation of neural SPARQL query generation from natural language questions. IEEE Access, 3453215 (22 pages).
Gagnon, M., Font, L., & Zouaq, A. (2024). An Exploration of IFLA LRM for Literature Data Representation. Journal on Computing and Cultural Heritage.
Layoun, J.-C., Zouaq, A., & Desmarais, M. C. (2024, April). Contextual Embeddings and Graph Convolutional Networks for Concept Prerequisite Learning [Paper]. 39th ACM/SIGAPP Symposium on Applied Computing (SAC 2024), New York, NY, USA.
Clouâtre, L., Zouaq, A., & Chandar, S. (2024, May). MVP: Minimal Viable Phrase for Long Text Understanding [Paper]. Joint 30th International Conference on Computational Linguistics and 14th International Conference on Language Resources and Evaluation (LREC-COLING 2024), Hybrid, Torino, Italy.
See all publications (82)
Biography
Amal Zouaq is a Full Professor at Polytechnique Montreal, a MILA academic associate member, and an adjunct professor at the University of Ottawa. She holds an FRQS (Dual) Chair in AI and Digital Health. Her research interests include artificial intelligence, natural language processing, and Semantic Web. She is the director of the LAMA-WeST research lab (http://www.labowest.ca/), specialized in all aspects of natural language processing and artificial intelligence. She serves as a member of the program committee in many conferences and journals in knowledge and data engineering, natural language processing, data mining and the Semantic Web.
Supervision at Polytechnique
COMPLETED
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Ph.D. Thesis (1)
- Bhatnagar, S. R. (2021). Technology Mediated Peer Instruction [Ph.D. thesis, Polytechnique Montréal].
- Bhatnagar, S. R. (2021). Technology Mediated Peer Instruction [Ph.D. thesis, Polytechnique Montréal].
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Master's Thesis (22)
- Gosselin, F. (2024). Ontology Embeddings with Pretrained Language Models and Schema Information for Ontology-Related Tasks [Master's thesis, Polytechnique Montréal].
- Layoun, J.-C. (2024). Contextual Embeddings and Graph Convolutional Networks for Concept Prerequisite Learning as a Strict Partial Order [Master's thesis, Polytechnique Montréal].
- Moslemi, M. (2024). TagDebias: Entity and Concept Typing for Social Bias Mitigation in Pretrained Language Models [Master's thesis, Polytechnique Montréal].
- Sargordi, M. (2024). Training Neural Networks to Perform Structured Prediction Task [Master's thesis, Polytechnique Montréal].
- Durocher, S. (2023). Entity Typing with Natural Language Inference for Fine-Grained Named Entity Recognition [Master's thesis, Polytechnique Montréal].
- Marrocco, J.-S. (2023). TRIPT-IDS: Triplet Loss Pre-Trained Transformer for Avionic Intrusion Detection System [Master's thesis, Polytechnique Montréal].
- Reyd, S. (2023). Comparaison et étude de la généralisation de modèles neuronaux pré-entrainés pour la génération de requêtes SPARQL [Master's thesis, Polytechnique Montréal].
- Favreau, C.-O. (2022). Learning to Rank with BERT for Argument Quality [Master's thesis, Polytechnique Montréal].
- Hirigoyen, R. (2022). Génération automatique de requêtes SPARQL à partir de questions en langue naturelle [Master's thesis, Polytechnique Montréal].
- Piché, D. (2022). Génération de base de connaissance à partir de données hétérogènes dans le monde culturel [Master's thesis, Polytechnique Montréal].
- Abdi Ghavidel, H. (2021). Automatic Short Answer Grading Using Transformers [Master's thesis, Polytechnique Montréal].
- Farvacque, D. (2020). Re-BERT OQA : un système de question-réponse dans le domaine ouvert [Master's thesis, Polytechnique Montréal].
- Marchand, E. (2020). Extraction automatique d'une base de connaissances à partir de documents archéologiques et patrimoniaux en français [Master's thesis, Polytechnique Montréal].
- Martel, F. (2020). Extraction de taxonomie par regroupement hiérarchique de plongements vectoriels de graphes de connaissances [Master's thesis, Polytechnique Montréal].
- Radoev, N. (2019). Multilingual SPARQL Query Generation Using Lexico-Syntactic Patterns [Master's thesis, Polytechnique Montréal].
- Ferry, F. (2018). Identification de relations entre personnes et biens immobiliers à partir de données textuelles [Master's thesis, École Polytechnique de Montréal].
- Haidar-Ahmad, L. (2017). Extraction d'axiomes et de règles logiques à partir de définitions de wikipédia en langage naturel [Master's thesis, École Polytechnique de Montréal].
- Chabchoub, M. (2016). Amélioration des performances des annotateurs sémantiques [Master's thesis, École Polytechnique de Montréal].
- Font, L. (2016). Évaluation et amélioration de la qualité de DBpedia pour la représentation de la connaissance du domaine [Master's thesis, École Polytechnique de Montréal].
- Lange Di Cesare, K. (2016). Amélioration de la précision de systèmes d'extraction de relations en utilisant un filtre générique basé sur l'apprentissage statistique [Master's thesis, École Polytechnique de Montréal].
- N'Techobo, E. P. A. (2016). Annotations sémantiques et analyse de surface pour l'extraction de graphes d'abstraction de débats politiques [Master's thesis, École Polytechnique de Montréal].
- Desmarais, F.-X. (2012). Comparaison d'une approche à base de règles avec une approche utilisant de l'apprentissage machine pour l'analyse sémantique [Master's thesis, École Polytechnique de Montréal].
