Exploiting graph kernels for high performance biomedical relation extraction

BACKGROUND: Relation extraction from biomedical publications is an important task in the area of semantic mining of text. Kernel methods for supervised relation extraction are often preferred over manual feature engineering methods, when classifying highly ordered structures such as trees and graphs...

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Detalles Bibliográficos
Autores principales: Panyam, Nagesh C., Verspoor, Karin, Cohn, Trevor, Ramamohanarao, Kotagiri
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5791373/
https://www.ncbi.nlm.nih.gov/pubmed/29382397
http://dx.doi.org/10.1186/s13326-017-0168-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5791373/
https://www.ncbi.nlm.nih.gov/pubmed/29382397
http://dx.doi.org/10.1186/s13326-017-0168-3

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