Mathilde Aguiar

About Me

I’m currently finishing my PhD in Natural Language Processing (NLP) at Paris Saclay University . My PhD topic is “Natural Language Inference for clinical trials”. I’m currently finishing my third year and I’m open to discussing any open position in NLP. This page showcases my past and ongoing work related to NLP.

Research interests

Biomedical/Clinical NLP
Biomedical applications
NLP for low-resource languages

Publications

Natural Language Inference for Clinical Trials Mathilde Aguiar, 2026 PhD thesis. Thesis to be defended in mid-November 2026.
Impact de l’affinage de modèles génératifs pour l’inférence en langue naturelle appliquée aux essais cliniques : comparaison avec des approches de few-shot learning Lounès Kebdi, Lubin Longuépée, Mathilde Aguiar, Pierre Zweigenbaum, Nona Naderi
TALN 2026 [pdf] [bib]
Assessing the Difficulty of Inference Types in Natural Language Inference for Clinical Trials Mathilde Aguiar, Pierre Zweigenbaum, Nona Naderi
LREC 2026 [pdf] [bib]
Am I eligible? Natural Language Inference for Clinical Trial Patient Recruitment: the Patient’s Point of View Mathilde Aguiar, Pierre Zweigenbaum, Nona Naderi
CL4Health 2025 - NAACL 2025 [pdf] [bib]
Constituting a dataset for applying Natural Language Inference to Chinese Clinical Trials: possible approaches and challenges Mathilde Aguiar, Ying Lai, Pierre Zweigenbaum, Nona Naderi
SemEval 2024 [pdf] [bib]
Récentes avancées de l’inférence en langue naturelle pour les essais cliniques Mathilde Aguiar, Pierre Zweigenbaum, Nona Naderi
Journée Santé & IA - PFIA 2024 [pdf] [bib]
SEME at SemEval-2024 Task 2: Comparing Masked and Generative Language Models on Natural Language Inference for Clinical Trials Mathilde Aguiar, Pierre Zweigenbaum, Nona Naderi
SemEval 2024 - NAACL 2024 [pdf] [bib]
Jargon: A Suite of Language Models and Evaluation Tasks for French Specialized Domains
Vincent Segonne, Aidan Mannion, Laura Alonzo-Canul, Alexandre Audibert, Xingyu Liu, Cécile Macaire, Adrien Pupier, Yongxin Zhou, Mathilde Aguiar, Felix Herron, Magali Norré, Massih-Reza Amini, Pierrette Bouillon, Iris Eshkol-Taravella, Emmanuelle Esperança-Rodier, Thomas François, Lorraine Goeuriot, Jérôme Goulian, Mathieu Lafourcade, Benjamin Lecouteux, François Portet, Fabien Ringeval, Vincent Vandeghinste, Maximin Coavoux, Marco Dinarelli and Didier Schwab
LREC-COLING 2024
[pdf] [bib]

CV

See it here

Data, models and resources