DTranNER: biomedical named entity recognition with deep learning-based label-label transition model

BACKGROUND: Biomedical named-entity recognition (BioNER) is widely modeled with conditional random fields (CRF) by regarding it as a sequence labeling problem. The CRF-based methods yield structured outputs of labels by imposing connectivity between the labels. Recent studies for BioNER have reporte...

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Detalles Bibliográficos
Autores principales: Hong, S. K., Lee, Jae-Gil
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7014657/
https://www.ncbi.nlm.nih.gov/pubmed/32046638
http://dx.doi.org/10.1186/s12859-020-3393-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7014657/
https://www.ncbi.nlm.nih.gov/pubmed/32046638
http://dx.doi.org/10.1186/s12859-020-3393-1

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