Task-Oriented Dialog Systems that Consider Multiple Appropriate Responses under the Same Context

Understand

Conversations have an intrinsic one-to-many property, which means that multiple responses can be appropriate for the same dialog context.

• In task-oriented dialogs, this property leads to different valid dialog policies towards task completion.
• However, none of the existing task-oriented dialog generation approaches takes this property into account.
• We propose a Multi-Action Data Augmentation (MADA) framework to utilize the one-to-many property to generate diverse appropriate dialog responses.