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arXiv · 2005.00456

USR: An Unsupervised and Reference Free Evaluation Metric for Dialog Generation

Shikib Mehri·Maxine Eskenazi
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Abstract

The lack of meaningful automatic evaluation metrics for dialog has impeded open-domain dialog research. Standard language generation metrics have been shown to be ineffective for evaluating dialog models. To this end, this paper presents USR, an UnSupervised and Reference-free evaluation metric for dialog. USR is a reference-free metric that trains unsupervised models to measure several desirable qualities of dialog. USR is shown to strongly correlate with human judgment on both Topical-Chat (turn-level: 0.42, system-level: 1.0) and PersonaChat (turn-level: 0.48 and system-level: 1.0). USR additionally produces interpretable measures for several desirable properties of dialog.

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Shikib Mehri, Maxine Eskenazi. 2020-05-01. USR: An Unsupervised and Reference Free Evaluation Metric for Dialog Generation. https://arxiv.org/abs/2005.00456

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