Abstract: We propose a new metric, Voted Appropriateness, which can be used to automatically evaluate dialogue policy decisions, once some wizard data has been collected. We show that this metric outperforms a previously proposed metric Weak agreement. We also present a taxonomy for dialogue model evaluation schemas, and orient our new metric within this taxonomy.
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