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This paper discusses the importance of uncovering uncertainty in end-to-enddialog tasks, and presents our experimental results on uncertaintyclassification on the Ubuntu Dialog Corpus. We show that, instead of retrainingmodels for this specific purpose, the original retrieval model's underlyingconfidence concerning the best prediction can be captured with trivialadditional computation.

"None of the Above":Measure Uncertainty in Dialog Response Retrieval