Cargando…
Transfer learning for biomedical named entity recognition with neural networks
MOTIVATION: The explosive increase of biomedical literature has made information extraction an increasingly important tool for biomedical research. A fundamental task is the recognition of biomedical named entities in text (BNER) such as genes/proteins, diseases and species. Recently, a domain-indep...
Autores principales: | Giorgi, John M, Bader, Gary D |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6247938/ https://www.ncbi.nlm.nih.gov/pubmed/29868832 http://dx.doi.org/10.1093/bioinformatics/bty449 |
Ejemplares similares
-
Towards reliable named entity recognition in the biomedical domain
por: Giorgi, John M, et al.
Publicado: (2020) -
Hierarchical shared transfer learning for biomedical named entity recognition
por: Chai, Zhaoying, et al.
Publicado: (2022) -
A neural network multi-task learning approach to biomedical named entity recognition
por: Crichton, Gamal, et al.
Publicado: (2017) -
CollaboNet: collaboration of deep neural networks for biomedical named entity recognition
por: Yoon, Wonjin, et al.
Publicado: (2019) -
Biomedical named entity recognition using deep neural networks with contextual information
por: Cho, Hyejin, et al.
Publicado: (2019)