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Disease named entity recognition by combining conditional random fields and bidirectional recurrent neural networks
The recognition of disease and chemical named entities in scientific articles is a very important subtask in information extraction in the biomedical domain. Due to the diversity and complexity of disease names, the recognition of named entities of diseases is rather tougher than those of chemical n...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2016
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5088735/ https://www.ncbi.nlm.nih.gov/pubmed/27777244 http://dx.doi.org/10.1093/database/baw140 |