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Combining Contextualized Embeddings and Prior Knowledge for Clinical Named Entity Recognition: Evaluation Study
BACKGROUND: Named entity recognition (NER) is a key step in clinical natural language processing (NLP). Traditionally, rule-based systems leverage prior knowledge to define rules to identify named entities. Recently, deep learning–based NER systems have become more and more popular. Contextualized w...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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JMIR Publications
2019
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6913757/ https://www.ncbi.nlm.nih.gov/pubmed/31719024 http://dx.doi.org/10.2196/14850 |