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Disease named entity recognition from biomedical literature using a novel convolutional neural network
BACKGROUND: Automatic disease named entity recognition (DNER) is of utmost importance for development of more sophisticated BioNLP tools. However, most conventional CRF based DNER systems rely on well-designed features whose selection is labor intensive and time-consuming. Though most deep learning...
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| Gepubliceerd in: | BMC Med Genomics |
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| Hoofdauteurs: | , , , , , , |
| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
BioMed Central
2017
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| Onderwerpen: | |
| Online toegang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5751782/ https://ncbi.nlm.nih.gov/pubmed/29297367 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12920-017-0316-8 |
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