Efficient, Uncertainty-based Moderation of Neural Networks Text Classifiers

Jakob Smedegaard Andersen, Walid Maalej

To maximize the accuracy and increase the overall acceptance of text classifiers, we propose a framework for the efficient, in-operation moderation of classifiers' output. Our fram…