Zeyi Zhong

Reducing Spurious Correlations for Answer Selection by Feature Decorrelation and Language Debiasing

Deep neural models have become the mainstream in answer selection, yielding state-of-the-art performance. However, these models tend to rely on spurious correlations between prediction labels and input features, which in general suffer from robustness and generalization. In this paper, we propose a…