Learning an enriched representation from unlabeled data for protein-protein interaction extraction

BACKGROUND: Extracting protein-protein interactions from biomedical literature is an important task in biomedical text mining. Supervised machine learning methods have been used with great success in this task but they tend to suffer from data sparseness because of their restriction to obtain knowle...

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Detalles Bibliográficos
Autores principales: Li, Yanpeng, Hu, Xiaohua, Lin, Hongfei, Yang, Zhihao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2010
Materias:
Proceedings
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3166043/
https://www.ncbi.nlm.nih.gov/pubmed/20406505
http://dx.doi.org/10.1186/1471-2105-11-S2-S7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3166043/
https://www.ncbi.nlm.nih.gov/pubmed/20406505
http://dx.doi.org/10.1186/1471-2105-11-S2-S7

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