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SBLC: a hybrid model for disease named entity recognition based on semantic bidirectional LSTMs and conditional random fields
BACKGROUND: Disease named entity recognition (NER) is a fundamental step in information processing of medical texts. However, disease NER involves complex issues such as descriptive modifiers in actual practice. The accurate identification of disease NER is a still an open and essential research pro...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2018
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6284263/ https://www.ncbi.nlm.nih.gov/pubmed/30526592 http://dx.doi.org/10.1186/s12911-018-0690-y |