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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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Detalhes bibliográficos
Publicado no:Database (Oxford)
Main Authors: Kaewphan, Suwisa, Hakala, Kai, Miekka, Niko, Salakoski, Tapio, Ginter, Filip
Formato: Artigo
Idioma:Inglês
Publicado em: Oxford University Press 2018
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC6146133/
https://ncbi.nlm.nih.gov/pubmed/30239666
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/database/bay096
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