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DTranNER: biomedical named entity recognition with deep learning-based label-label transition model
BACKGROUND: Biomedical named-entity recognition (BioNER) is widely modeled with conditional random fields (CRF) by regarding it as a sequence labeling problem. The CRF-based methods yield structured outputs of labels by imposing connectivity between the labels. Recent studies for BioNER have reporte...
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| Publicat a: | BMC Bioinformatics |
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| Autors principals: | , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
BioMed Central
2020
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7014657/ https://ncbi.nlm.nih.gov/pubmed/32046638 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-020-3393-1 |
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