Project Report: project final report/SI630_Project_Final_Report.pdf
- original paper: https://www.sciencedirect.com/science/article/pii/S1532046415000532
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- BIOE
- BIOES
- BIO
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Identified ADEs and associated terms in an annotated corpus with Named Entity Recognition (NER) modeling with Flair and PyTorch. Fine-tuned pre-trained transformer models such as XLM-RoBERTa, SpanBERT, and Bio_ClinicalBERT. Achieved F1 scores of 0.73 and 0.77 for BIOES and BIO tagging models, respectively.
Unusuala1l2e3x4/Extracting-ADEs-from-Medical-Forum-Posts
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Identified ADEs and associated terms in an annotated corpus with Named Entity Recognition (NER) modeling with Flair and PyTorch. Fine-tuned pre-trained transformer models such as XLM-RoBERTa, SpanBERT, and Bio_ClinicalBERT. Achieved F1 scores of 0.73 and 0.77 for BIOES and BIO tagging models, respectively.
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