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Weakly supervised learning of biomedical information extraction from curated data
BACKGROUND: Numerous publicly available biomedical databases derive data by curating from literatures. The curated data can be useful as training examples for information extraction, but curated data usually lack the exact mentions and their locations in the text required for supervised machine lear...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2016
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4847485/ https://www.ncbi.nlm.nih.gov/pubmed/26817711 http://dx.doi.org/10.1186/s12859-015-0844-1 |