TrigNER: automatically optimized biomedical event trigger recognition on scientific documents

BACKGROUND: Cellular events play a central role in the understanding of biological processes and functions, providing insight on both physiological and pathogenesis mechanisms. Automatic extraction of mentions of such events from the literature represents an important contribution to the progress of...

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Detalles Bibliográficos
Autores principales: Campos, David, Bui, Quoc-Chinh, Matos, Sérgio, Oliveira, José Luís
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Software Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3896761/
https://www.ncbi.nlm.nih.gov/pubmed/24401704
http://dx.doi.org/10.1186/1751-0473-9-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3896761/
https://www.ncbi.nlm.nih.gov/pubmed/24401704
http://dx.doi.org/10.1186/1751-0473-9-1

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