2020

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

Mehri, Shikib, Eskenazi, Maxine

Understand

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.

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