Make Every Example Count: On the Stability and Utility of Self-Influence for Learning from Noisy NLP Datasets

Irina Bejan, Artem Sokolov, Katja Filippova

Increasingly larger datasets have become a standard ingredient to advancing the state-of-the-art in NLP. However, data quality might have already become the bottleneck to unlock fu…