A pipeline using fine-tuned ChatGPT and W2NER for extraction and a SapBERT-based model for normalization outperforms the average BioCreative8 Track 3 team by 2.6% F1.
PhenoBERT: a combined deep learning me thod for automated recogni- tion of human phenotype ontology
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KU AIGEN ICL EDI@BC8 Track 3: Advancing Phenotype Named Entity Recognition and Normalization for Dysmorphology Physical Examination Reports
A pipeline using fine-tuned ChatGPT and W2NER for extraction and a SapBERT-based model for normalization outperforms the average BioCreative8 Track 3 team by 2.6% F1.