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Semi-supervised Learning for the BioNLP Gene Regulation Network

BACKGROUND: The BioNLP Gene Regulation Task has attracted a diverse collection of submissions showcasing state-of-the-art systems. However, a principal challenge remains in obtaining a significant amount of recall. We argue that this is an important quality for Information Extraction tasks in this f...

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Detalles Bibliográficos
Autores principales: Provoost, Thomas, Moens, Marie-Francine
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4511406/
https://www.ncbi.nlm.nih.gov/pubmed/26202824
http://dx.doi.org/10.1186/1471-2105-16-S10-S4

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