Papers with Statistical natural language inference

1 papers
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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