A knowledge-poor approach to chemical-disease relation extraction

The article describes a knowledge-poor approach to the task of extracting Chemical-Disease Relations from PubMed abstracts. A first version of the approach was applied during the participation in the BioCreative V track 3, both in Disease Named Entity Recognition and Normalization (DNER) and in Chem...

Descripción completa

Detalles Bibliográficos
Autores principales: Alam, Firoj, Corazza, Anna, Lavelli, Alberto, Zanoli, Roberto
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2016
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4869795/
https://www.ncbi.nlm.nih.gov/pubmed/27189609
http://dx.doi.org/10.1093/database/baw071

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4869795/
https://www.ncbi.nlm.nih.gov/pubmed/27189609
http://dx.doi.org/10.1093/database/baw071

Ejemplares similares