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...

Descripción completa

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

Internet

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

Ejemplares similares