Integrating semantic information into multiple kernels for protein-protein interaction extraction from biomedical literatures.
Protein-Protein Interaction (PPI) extraction is an important task in the biomedical information extraction. Presently, many machine learning methods for PPI extraction have achieved promising results. However, the performance is still not satisfactory. One reason is that the semantic resources were...
Guardado en:
Autores principales: | Lishuang Li, Panpan Zhang, Tianfu Zheng, Hongying Zhang, Zhenchao Jiang, Degen Huang |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Public Library of Science (PLoS)
2014
|
Materias: | |
Acceso en línea: | https://doaj.org/article/2ed299407ca24f2cacdffaca53b3d8c3 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Journal of biomedical semantics
Publicado: (2010) -
Semantic similarity in biomedical ontologies.
por: Catia Pesquita, et al.
Publicado: (2009) -
On the Readability of Kernel-based Deep Learning Models in Semantic Role Labeling Tasks over Multiple Languages
por: Daniele Rossini, et al.
Publicado: (2019) -
A multistage gene normalization system integrating multiple effective methods.
por: Lishuang Li, et al.
Publicado: (2013) -
Novel protein-protein interactions inferred from literature context.
por: Herman H H B M van Haagen, et al.
Publicado: (2009)