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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Oxford University Press
2018
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6041968/ https://www.ncbi.nlm.nih.gov/pubmed/29538614 http://dx.doi.org/10.1093/bioinformatics/bty152 |