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Biomedical named entity recognition using deep neural networks with contextual information
BACKGROUND: In biomedical text mining, named entity recognition (NER) is an important task used to extract information from biomedical articles. Previously proposed methods for NER are dictionary- or rule-based methods and machine learning approaches. However, these traditional approaches are heavil...
Guardat en:
| Publicat a: | BMC Bioinformatics |
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| Autors principals: | , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
BioMed Central
2019
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6935215/ https://ncbi.nlm.nih.gov/pubmed/31881938 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-019-3321-4 |
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