Adversarial evaluation for open-domain dialogue generation
Elia Bruni, Raquel Fernández · 2017
We investigate the potential of adversarial evaluation methods for open-domain dialogue generation systems, comparing the performance of a discriminative agent to that of humans on the same task.Our results show that the task is hard, both for automated models and humans, but that a discriminative agent can learn patterns that lead to above-chance performance.