Weakly Supervised Learning of Biomedical Information Extraction from Curated Data
January 2016
in “
BMC Bioinformatics
”
Studysummary This study found that using curated biomedical databases as training examples for information extraction tasks in Genome-Wide Association Studies can outperform cost-insensitive methods, demonstrating their potential use without expert annotation.
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