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Evaluating the carbon footprint of NLP methods: a survey and analysis of existing tools
Modern Natural Language Processing (NLP) makes intensive use of deep learning methods because of the accuracy they offer for a variety of applications.
A Benchmark Evaluation of Clinical Named Entity Recognition in French
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.
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