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Exploiting and assessing multi-source data for supervised biomedical named entity recognition
MOTIVATION: Recognition of biomedical entities from scientific text is a critical component of natural language processing and automated information extraction platforms. Modern named entity recognition approaches rely heavily on supervised machine learning techniques, which are critically dependent...
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| Publié dans: | Bioinformatics |
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| Auteurs principaux: | , , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
Oxford University Press
2018
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6041968/ https://ncbi.nlm.nih.gov/pubmed/29538614 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/bty152 |
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