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A Distant Supervision Corpus for Extracting Biomedical Relationships Between Chemicals, Diseases and Genes
AbstractWe introduce ChemDisGene, a new dataset for training and evaluating multi-class multi-label biomedical relation extraction models. Our dataset contains 80k biomedical research abstracts labeled with mentions of chemicals, diseases, and …...