A RoBERTa NER model with BiLSTM-CRF and SapBERT candidate generation via cosine similarity was applied to symptom recognition and linking, where knowledge base selection most affected accuracy.
The mespen resource for english-spanish medical machine translation and terminologies: Census of parallel corpora, glossaries and term trans- lations
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Team Fusion@ SU@ BC8 SympTEMIST track: transformer-based approach for symptom recognition and linking
A RoBERTa NER model with BiLSTM-CRF and SapBERT candidate generation via cosine similarity was applied to symptom recognition and linking, where knowledge base selection most affected accuracy.