Papers with DiKTNet
Data-Efficient Goal-Oriented Conversation with Dialogue Knowledge Transfer Networks (D19-1)
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| Challenge: | Goal-oriented dialogue systems are now being widely adopted in industry where it is of key importance to maintain a rapid prototyping cycle for new products and domains. |
| Approach: | They propose a data-driven approach to goal-oriented dialogue generation which only uses a few example dialogues, none of which has to be annotated. |
| Outcome: | The proposed approach significantly improves upon baseline models and over the previous state-of-the-art model, ZSDG. |