Unlearn Dataset Bias in Natural Language Inference by Fitting the Residual
Unlearn Dataset Bias in Natural Language Inference by Fitting the Residual
Statistical natural language inference (NLI) models are susceptible to learning dataset bias: superficial cues that happen to associate with the label on a particular dataset, but are not useful in general, e.g., negation words indicate contradiction. As exposed by several recent challenge datasets, these models perform poorly when such association …