Chinese clinical named entity recognition via multi-head self-attention based BiLSTM-CRF.
Clinical named entity recognition (CNER) is a fundamental step for many clinical Natural Language Processing (NLP) systems, which aims to recognize and classify clinical entities such as diseases, symptoms, exams, body parts and treatments in clinical free texts. In recent years, with the developmen...
| Publicado en: | Artificial Intelligence in Medicine Vol. 127 |
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| Autores principales: | , , , , |
| Formato: | research Journal Article |
| Publicado: |
Elsevier B.V.
May2022
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| Acceso en línea: | Ver este registro en EBSCOhost |