Unlearn Dataset Bias in Natural Language Inference by Fitting the Residual (D19-61)
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| Challenge: | Statistical natural language inference models are susceptible to learning dataset bias. |
| Approach: | They propose a debiasing algorithm that debiases models that use only known dataset biases . they use two benchmark datasets to train three high-performing NLI models . |
| Outcome: | The proposed learning objective improves model performance on challenge datasets while maintaining reasonable performance on original datasets. |
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