Cargando…
Leveraging network analysis to evaluate biomedical named entity recognition tools
The ever-growing availability of biomedical text sources has resulted in a boost in clinical studies based on their exploitation. Biomedical named-entity recognition (bio-NER) techniques have evolved remarkably in recent years and their application in research is increasingly successful. Still, the...
Autores principales: | García del Valle, Eduardo P., Lagunes García, Gerardo, Prieto Santamaría, Lucía, Zanin, Massimiliano, Menasalvas Ruiz, Ernestina, Rodríguez-González, Alejandro |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8242017/ https://www.ncbi.nlm.nih.gov/pubmed/34188248 http://dx.doi.org/10.1038/s41598-021-93018-w |
Ejemplares similares
-
DISNET: a framework for extracting phenotypic disease information from public sources
por: Lagunes-García, Gerardo, et al.
Publicado: (2020) -
Various criteria in the evaluation of biomedical named entity recognition
por: Tsai, Richard Tzong-Han, et al.
Publicado: (2006) -
Comparison of named entity recognition methodologies in biomedical documents
por: Song, Hye-Jeong, et al.
Publicado: (2018) -
Towards reliable named entity recognition in the biomedical domain
por: Giorgi, John M, et al.
Publicado: (2020) -
Improving biomedical named entity recognition with syntactic information
por: Tian, Yuanhe, et al.
Publicado: (2020)