A Novel Feature Selection Strategy for Enhanced Biomedical Event Extraction Using the Turku System

Feature selection is of paramount importance for text-mining classifiers with high-dimensional features. The Turku Event Extraction System (TEES) is the best performing tool in the GENIA BioNLP 2009/2011 shared tasks, which relies heavily on high-dimensional features. This paper describes research w...

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Detalles Bibliográficos
Autores principales: Xia, Jingbo, Fang, Alex Chengyu, Zhang, Xing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2014
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3997098/
https://www.ncbi.nlm.nih.gov/pubmed/24800214
http://dx.doi.org/10.1155/2014/205239

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3997098/
https://www.ncbi.nlm.nih.gov/pubmed/24800214
http://dx.doi.org/10.1155/2014/205239

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