no code implementations • EMNLP (sustainlp) 2021 • Nesrine Bannour, Sahar Ghannay, Aurélie Névéol, Anne-Laure Ligozat
Modern Natural Language Processing (NLP) makes intensive use of deep learning methods because of the accuracy they offer for a variety of applications.
no code implementations • 28 Mar 2024 • Nesrine Bannour, Christophe Servan, Aurélie Névéol, Xavier Tannier
Objective: This paper presentsan evaluation of masked language models for biomedical French on the task of clinical named entity recognition. Material and methods: We evaluate biomedical models CamemBERT-bio and DrBERT and compare them tostandard French models CamemBERT, FlauBERT and FrALBERT as well as multilingual mBERT using three publicallyavailable corpora for clinical named entity recognition in French.