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Adapting and evaluating a deep learning language model for clinical why-question answering
OBJECTIVES: To adapt and evaluate a deep learning language model for answering why-questions based on patient-specific clinical text. MATERIALS AND METHODS: Bidirectional encoder representations from transformers (BERT) models were trained with varying data sources to perform SQuAD 2.0 style why-que...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Oxford University Press
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7309262/ https://www.ncbi.nlm.nih.gov/pubmed/32607483 http://dx.doi.org/10.1093/jamiaopen/ooz072 |