Training Millions of Personalized Dialogue Agents
EMNLP, pp. 2775-2779, 2018.
Current dialogue systems are not very engaging for users, especially when trained end-to-end without relying on proactive reengaging scripted strategies. Zhang et al. (2018) showed that the engagement level of end-to-end dialogue models increases when conditioning them on text personas providing some personalized back-story to the model. ...More
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