2 papers
cs.CL2026
Multilingual Artificial Datasets for AI-Driven Cardiology: the CliTe and ParaCliTe corpora
Lorenzo Pratesi, Eulalia Farre-Maduell, Machteld Boonstra +21
Background and Aims. Comparable, multilingual, validated cardiology corpora are critical to advance trustworthy natural language processing (NLP) models for cardiology but such res…
cs.CL2026
CardioLM: A multilingual suite of small language models for the cardiology domain
Manuela-Daniela Danu, Miguel Rodríguez-Ortega, Alberto Becerra-Tome +37
Background: Cardiovascular care generates large volumes of clinical free-text documentation in local languages. However, clinical natural language processing (NLP) resources remain…