Enhanced adverse drug event extraction using prefix-based multi-prompt tuning in transformer models
Extracting mentions of adverse drug events and relationships between them is crucial for effective pharmacovigilance and drug safety surveillance. Recently, transformer-based models have significantly improved this task through fine-tuning. However, traditional fine-tuning of transformer models, esp...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Politeknik Negeri Padang
2024
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| Online Access: | http://psasir.upm.edu.my/id/eprint/117021/ http://psasir.upm.edu.my/id/eprint/117021/1/117021.pdf |