Natural Perturbation for Robust Question Answering

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Other Links: arxiv.org

Abstract:

While recent models have achieved human-level scores on many NLP datasets, we observe that they are considerably sensitive to small changes in input. As an alternative to the standard approach of addressing this issue by constructing training sets of completely new examples, we propose doing so via minimal perturbation of examples. Spec...More

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