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Wide-scope biomedical named entity recognition and normalization with CRFs, fuzzy matching and character level modeling

We present a system for automatically identifying a multitude of biomedical entities from the literature. This work is based on our previous efforts in the BioCreative VI: Interactive Bio-ID Assignment shared task in which our system demonstrated state-of-the-art performance with the highest achieve...

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Detalles Bibliográficos
Autores principales:	Kaewphan, Suwisa, Hakala, Kai, Miekka, Niko, Salakoski, Tapio, Ginter, Filip
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Oxford University Press 2018
Materias:	Original Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6146133/ https://www.ncbi.nlm.nih.gov/pubmed/30239666 http://dx.doi.org/10.1093/database/bay096

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