Accelerated training of bootstrap aggregation-based deep information extraction systems from cancer pathology reports

•We demonstrated that bagging is an effective way of boosting information extraction performance.•We designed, developed and evaluated two data partitioning approaches.•The proposed approaches alleviate the complexity of classification tasks.•Our results demonstrated significant performance boost in macro-F1 scores.•We performed training deep learning models in parallel on Summit supercomputer.