PAPIs 2018

The uses for machine learning are growing at an unprecedented rate. Yet as machine learning applications advance, the lack of good, labeled training data is inhibiting their large-scale adoption. We teach how to generate labeled training data quickly and transparently using QuickCode, a system that recommends labels for text data. Each time the user provides more information, QuickCode rapidly iterates with the user and provides better recommendations. In tests against data that were hand-labeled, QuickCode matched the hand labels with 95% accuracy at a fraction of the time the hand-coding took.