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...

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Detalles Bibliográficos
Autores principales: Jiang, Min, Sanger, Todd, Liu, Xiong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2019
Materias:
Original Paper
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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6913757/
https://www.ncbi.nlm.nih.gov/pubmed/31719024
http://dx.doi.org/10.2196/14850

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