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Found 7 papers, 3 papers with code
Revue de la littérature : entrepôts de données biomédicales et traitement automatique de la langue (Literature review : biomedical data warehouse and natural language processing )
Cet article propose une revue de la littérature qui s’intéresse, à travers les publications sur PubMed, ACL Anthology et Google Scholar, à l’interaction entre deux thématiques : les entrepôts de données biomédicales et le traitement automatique des langues.
Adaptation of Biomedical and Clinical Pretrained Models to French Long Documents: A Comparative Study
Recently, pretrained language models based on BERT have been introduced for the French biomedical domain.
How Important Is Tokenization in French Medical Masked Language Models?
Subword tokenization has become the prevailing standard in the field of natural language processing (NLP) over recent years, primarily due to the widespread utilization of pre-trained language models.
DrBenchmark: A Large Language Understanding Evaluation Benchmark for French Biomedical Domain
This limitation hampers the evaluation of the latest French biomedical models, as they are either assessed on a minimal number of tasks with non-standardized protocols or evaluated using general downstream tasks.
BioMistral: A Collection of Open-Source Pretrained Large Language Models for Medical Domains
This marks the first large-scale multilingual evaluation of LLMs in the medical domain.
FrenchMedMCQA: A French Multiple-Choice Question Answering Dataset for Medical domain
This paper introduces FrenchMedMCQA, the first publicly available Multiple-Choice Question Answering (MCQA) dataset in French for medical domain.
DrBERT: A Robust Pre-trained Model in French for Biomedical and Clinical domains
In recent years, pre-trained language models (PLMs) achieve the best performance on a wide range of natural language processing (NLP) tasks.
