Entity recognition in the biomedical domain using a hybrid approach

BACKGROUND: This article describes a high-recall, high-precision approach for the extraction of biomedical entities from scientific articles. METHOD: The approach uses a two-stage pipeline, combining a dictionary-based entity recognizer with a machine-learning classifier. First, the OGER entity reco...

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Detalles Bibliográficos
Autores principales: Basaldella, Marco, Furrer, Lenz, Tasso, Carlo, Rinaldi, Fabio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5679148/
https://www.ncbi.nlm.nih.gov/pubmed/29122011
http://dx.doi.org/10.1186/s13326-017-0157-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5679148/
https://www.ncbi.nlm.nih.gov/pubmed/29122011
http://dx.doi.org/10.1186/s13326-017-0157-6

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