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Semi-supervised method for biomedical event extraction

BACKGROUND: Biomedical extraction based on supervised machine learning still faces the problem that a limited labeled dataset does not saturate the learning method. Many supervised learning algorithms for bio-event extraction have been affected by the data sparseness. METHODS: In this study, a semi-...

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Detalles Bibliográficos
Autores principales:	Wang, Jian, Xu, Qian, Lin, Hongfei, Yang, Zhihao, Li, Yanpeng
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BioMed Central 2013
Materias:	Research
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3909242/ https://www.ncbi.nlm.nih.gov/pubmed/24565105 http://dx.doi.org/10.1186/1477-5956-11-S1-S17

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