Cargando…
Combining joint models for biomedical event extraction
BACKGROUND: We explore techniques for performing model combination between the UMass and Stanford biomedical event extraction systems. Both sub-components address event extraction as a structured prediction problem, and use dual decomposition (UMass) and parsing algorithms (Stanford) to find the bes...
Autores principales: | McClosky, David, Riedel, Sebastian, Surdeanu, Mihai, McCallum, Andrew, Manning, Christopher D |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2012
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3395172/ https://www.ncbi.nlm.nih.gov/pubmed/22759463 http://dx.doi.org/10.1186/1471-2105-13-S11-S9 |
Ejemplares similares
-
The Effect of the Control and Rationing of Rice on Beri-Beri
por: McClosky, A. J.
Publicado: (1921) -
Location-Dependent Empirical Thresholds for Quantitative Trait Mapping
por: LaCombe, Jason, et al.
Publicado: (2012) -
Fluoxetine-induced urinary retention in a cat
por: DiCiccio, Victoria K, et al.
Publicado: (2022) -
Biomedical event extraction from abstracts and full papers using search-based structured prediction
por: Vlachos, Andreas, et al.
Publicado: (2012) -
Detecting modification of biomedical events using a deep parsing approach
por: MacKinlay, Andrew, et al.
Publicado: (2012)