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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...
Autores principales: | Provoost, Thomas, Moens, Marie-Francine |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2015
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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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