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cs.CL2026
Analysing Lightweight Large Language Models for Biomedical Named Entity Recognition on Diverse Ouput Formats
Pierre Epron, Adrien Coulet, Mehwish Alam
Despite their strong linguistic capabilities, Large Language Models (LLMs) are computationally demanding and require substantial resources for fine-tuning, which is unadapted to pr…
cs.CL2025
Comparing representations of long clinical texts for the task of patient note-identification
Safa Alsaidi, Marc Vincent, Olivia Boyer +3
In this paper, we address the challenge of patient-note identification, which involves accurately matching an anonymized clinical note to its corresponding patient, represented by…
cs.CL2025
Efficient extraction of medication information from clinical notes: an evaluation in two languages
Thibaut Fabacher, Erik-André Sauleau, Emmanuelle Arcay +6
Objective: To evaluate the accuracy, computational cost and portability of a new Natural Language Processing (NLP) method for extracting medication information from clinical narrat…