OntoBook method enhances medical encoder pretraining with synthetic textbooks

Researchers have developed OntoBook, a novel method for pretraining encoder language models using synthetic medical textbooks. This approach converts medical ontology structures into text, which is then used to train models like ModernCamemBERT. OntoBook demonstrated significant improvements on French medical coding benchmarks, outperforming standard masked language modeling pretraining. AI

IMPACT Enhances medical encoder pretraining, potentially improving AI applications in healthcare and medical coding.

RANK_REASON The item is a research paper detailing a new method for pretraining language models. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

• Cantemist-FR
• Distemist-FR
• encoder language models
• FRACCO
• Hugging Face
• masked language modeling
• ModernCamemBERT
• OntoBook
• Rian Touchent

• paper
• model release
• product

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