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Does BERT need domain adaptation for clinical negation detection?
INTRODUCTION: Classifying whether concepts in an unstructured clinical text are negated is an important unsolved task. New domain adaptation and transfer learning methods can potentially address this issue. OBJECTIVE: We examine neural unsupervised domain adaptation methods, introducing a novel comb...
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| Publicado no: | J Am Med Inform Assoc |
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| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Oxford University Press
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7075528/ https://ncbi.nlm.nih.gov/pubmed/32044989 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/jamia/ocaa001 |
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