An Effective Label Noise Model for DNN Text Classification

Ishan Jindal, Daniel Pressel, Brian Lester +1

Because large, human-annotated datasets suffer from labeling errors, it is crucial to be able to train deep neural networks in the presence of label noise. While training image cla…