5 papers
SynCABEL: Synthetic Contextualized Augmentation for Biomedical Entity Linking
Adam Remaki, Christel Gérardin, Eulà lia Farré-Maduell +2
We present SynCABEL (Synthetic Contextualized Augmentation for Biomedical Entity Linking), a framework that addresses a central bottleneck in supervised biomedical entity linking (…
LongBEL: Long-Context and Document-Consistent Biomedical Entity Linking
Adam Remaki, Xavier Tannier, Christel Gérardin
Biomedical entity linking maps textual mentions to concepts in structured knowledge bases such as UMLS or SNOMED CT. Most existing systems link each mention independently, using on…
Is Biomedical Specialization Still Worth It? Insights from Domain-Adaptive Language Modelling with a New French Health Corpus
Aidan Mannion, Cécile Macaire, Armand Violle +5
Large language models (LLMs) have demonstrated remarkable capabilities across diverse domains, yet their adaptation to specialized fields remains challenging, particularly for non-…
PARHAF, a human-authored corpus of clinical reports for fictitious patients in French
Xavier Tannier, Salam Abbara, Rémi Flicoteaux +4
The development of clinical natural language processing (NLP) systems is severely hampered by the sensitive nature of medical records, which restricts data sharing under stringent…
Clinical trial cohort selection using Large Language Models on n2c2 Challenges
Chi-en Amy Tai, Xavier Tannier
Clinical trials are a critical process in the medical field for introducing new treatments and innovations. However, cohort selection for clinical trials is a time-consuming proces…