A Knowledge Recall Framework for Biomedical Abbreviation Disambiguation Using Pre-Trained Transformer Models
Background: The inherent polysemy of abbreviations in biomedical text presents a persistent challenge in natural language processing systems for Word Sense Disambiguation. Current approaches often struggle to fully leverage the vast, latent knowledge embedded within pre-trained transformer models. M...
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| Автори: | , , |
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| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
IEEE
2026-01-01
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| Серія: | IEEE Access |
| Предмети: | |
| Онлайн доступ: | https://ieeexplore.ieee.org/document/11408810/ |
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