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How to Evaluate Your Dialogue Models: A Review of Approaches
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Evaluating the quality of a dialogue system is an understudied problem. The recent evolution of evaluation method motivated this survey, in which an explicit and comprehensive analysis of the existing methods is sought. We are first to divide the evaluation methods into three classes, i.e., automatic evaluation, human-involved evaluation and user simulator based evaluation. Then, each class is covered with main features and the related evaluation metrics. The existence of benchmarks, suitable for the evaluation of dialogue techniques are also discussed in detail. Finally, some open issues are pointed out to bring the evaluation method into a new frontier.
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Cited by 1 Pith paper
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Better Slow than Sorry: Introducing Positive Friction for Reliable Dialogue Systems
The paper proposes a taxonomy of positive friction movements in dialogue and provides simulated and correlational evidence that they improve task success and user mental-state modeling.
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