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...

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Detalles Bibliográficos
Autores principales: Jain, Suvir, R., Kashyap, Kuo, Tsung-Ting, Bhargava, Shitij, Lin, Gordon, Hsu, Chun-Nan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Proceedings
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

Internet

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

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