Skeleton-to-Response: Dialogue Generation Guided by Retrieval Memory

Understand

For dialogue response generation, traditional generative models generate responses solely from input queries.

• Such models rely on insufficient information for generating a specific response since a certain query could be answered in multiple ways.
• Consequentially, those models tend to output generic and dull responses, impeding the generation of informative utterances.
• Recently, researchers have attempted to fill the information gap by exploiting information retrieval techniques.