2022
Efficient, Uncertainty-based Moderation of Neural Networks Text Classifiers
ACL 2022findings
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 framework focuses on use cases in which F1-scores of modern Neural Networks classifiers (ca. 90%) are still inapplicable in…