Continual pre-training of the CamemBERT model on a new French biomedical corpus, named biomed-fr, leads to significant performance improvements on various biomedical named entity recognition tasks.
A unified biomedical named entity recognition solution that leverages instruction tuning on large language models and sequence labeling to handle diverse entities across multiple datasets.