Cargando…
Towards reliable named entity recognition in the biomedical domain
MOTIVATION: Automatic biomedical named entity recognition (BioNER) is a key task in biomedical information extraction. For some time, state-of-the-art BioNER has been dominated by machine learning methods, particularly conditional random fields (CRFs), with a recent focus on deep learning. However,...
Autores principales: | Giorgi, John M, Bader, Gary D |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6956779/ https://www.ncbi.nlm.nih.gov/pubmed/31218364 http://dx.doi.org/10.1093/bioinformatics/btz504 |
Ejemplares similares
-
Transfer learning for biomedical named entity recognition with neural networks
por: Giorgi, John M, et al.
Publicado: (2018) -
Incorporating domain knowledge in chemical and biomedical named entity recognition with word representations
por: Munkhdalai, Tsendsuren, et al.
Publicado: (2015) -
Exploiting and assessing multi-source data for supervised biomedical named entity recognition
por: Galea, Dieter, et al.
Publicado: (2018) -
Improving biomedical named entity recognition with syntactic information
por: Tian, Yuanhe, et al.
Publicado: (2020) -
Various criteria in the evaluation of biomedical named entity recognition
por: Tsai, Richard Tzong-Han, et al.
Publicado: (2006)