Fine-tuning pre-trained BERT-family models for candidate concept ranking improves biomedical entity normalization accuracy by up to 1.17% over prior systems on three datasets.
UWM: Disorder Mention Extraction from Clinical Text Using CRFs and Normalization Using Learned Edit Distance Patterns
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BERT-based Ranking for Biomedical Entity Normalization
Fine-tuning pre-trained BERT-family models for candidate concept ranking improves biomedical entity normalization accuracy by up to 1.17% over prior systems on three datasets.