25 citations · 50 across the 16 of their papers we have counts for
14 papers · 1 filter
Evaluating the Homogeneity of Keyphrase Prediction Models
Maël Houbre, Florian Boudin, Beatrice Daille
Keyphrases which are useful in several NLP and IR applications are either extracted from text or predicted by generative models. Contrarily to keyphrase extraction approaches, keyp…
Improving Social Determinants of Health Documentation in French EHRs Using Large Language Models
Adrien Bazoge, Pacôme Constant dit Beaufils, Mohammed Hmitouch +6
Social determinants of health (SDoH) significantly influence health outcomes, shaping disease progression, treatment adherence, and health disparities. However, their documentation…
Self-Compositional Data Augmentation for Scientific Keyphrase Generation
Mael Houbre, Florian Boudin, Beatrice Daille +1
State-of-the-art models for keyphrase generation require large amounts of training data to achieve good performance. However, obtaining keyphrase-labeled documents can be challengi…
Adaptation of Biomedical and Clinical Pretrained Models to French Long Documents: A Comparative Study
Adrien Bazoge, Emmanuel Morin, Beatrice Daille +1
Recently, pretrained language models based on BERT have been introduced for the French biomedical domain. Although these models have achieved state-of-the-art results on biomedical…
DrBenchmark: A Large Language Understanding Evaluation Benchmark for French Biomedical Domain
Yanis Labrak, Adrien Bazoge, Oumaima El Khettari +8
The biomedical domain has sparked a significant interest in the field of Natural Language Processing (NLP), which has seen substantial advancements with pre-trained language models…
How Important Is Tokenization in French Medical Masked Language Models?
Yanis Labrak, Adrien Bazoge, Beatrice Daille +2
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-trai…