Deep learning for biomedical event extraction
Biomedical Event Extraction (BEE) is a crucial task in biomedical natural language processing, aiming to identify molecular events involving genes, proteins, and other biological entities. This thesis presents two approaches to improve BEE: a classification-based model for event trigger detection an...
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| Format: | Thesis-Master by Research |
| Language: | English |
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Nanyang Technological University
2025
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| Online Access: | https://hdl.handle.net/10356/182531 |