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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...
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| Publié dans: | BMC Med Inform Decis Mak |
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| Auteurs principaux: | , , , , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
BioMed Central
2018
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6284263/ https://ncbi.nlm.nih.gov/pubmed/30526592 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12911-018-0690-y |
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