Chinese clinical named entity recognition with variant neural structures based on BERT methods.
Clinical Named Entity Recognition (CNER) is a critical task which aims to identify and classify clinical terms in electronic medical records. In recent years, deep neural networks have achieved significant success in CNER. However, these methods require high-quality and large-scale labeled clinical...
| Publicado en: | Journal of Biomedical Informatics Vol. 107 |
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| Autores principales: | , , |
| Formato: | equations & formulas research tables/charts Journal Article |
| Publicado: |
Academic Press Inc.
Jul2020
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| Acceso en línea: | Ver este registro en EBSCOhost |