CamemBERT-bio: Leveraging Continual Pre-training for Cost-Effective Models on French Biomedical Data (2024.lrec-main)
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| Challenge: | Clinical data in hospitals are unstructured and therefore need to be extracted from medical reports to conduct clinical studies. |
| Approach: | They propose a dedicated French biomedical model based on a public French biomedicine dataset. |
| Outcome: | The proposed model improves 2.54 points of F1-score on biomedical named entity recognition tasks. |
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Alessio Cocchieri, Giacomo Frisoni, Marcos Martínez Galindo, Gianluca Moro, Giuseppe Tagliavini, Francesco Candoli
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