CoCo: Controllable Counterfactuals for Evaluating Dialogue State Trackers

ICLR 2021, 2021.

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CoCo is a principled method to more flexibly evaluate the robustness of the DST component of TOD systems.

Abstract:

Dialogue state trackers have made significant progress on benchmark datasets, but their generalization capability to novel and realistic scenarios beyond the held-out conversations is less understood. We propose controllable counterfactuals (CoCo) to bridge this gap and evaluate dialogue state tracking (DST) models on novel scenarios, i...More
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