Robustness Testing of Language Understanding in Dialog Systems

Jiexi Liu
Jiexi Liu
Jiaxin Wen
Jiaxin Wen
Dazhen Wan
Dazhen Wan
Weiran Nie
Weiran Nie
Hongyan Li
Hongyan Li
Wei Peng
Wei Peng
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Abstract:

Most language understanding models in dialog systems are trained on a small amount of annotated training data, and evaluated in a small set from the same distribution. However, these models can lead to system failure or undesirable outputs when being exposed to natural perturbation in practice. In this paper, we conduct comprehensive ev...More

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