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Small Changes Make Big Differences: Improving Multi-turn Response Selection in Dialogue Systems via Fine-Grained Contrastive Learning.

Yuntao LiCan XuHuang HuLei ShaYan ZhangDaxin Jiang
Published in: INTERSPEECH (2022)
Keyphrases
  • fine grained
  • coarse grained
  • reinforcement learning
  • dialogue system
  • database systems
  • graphical models
  • access control
  • proceedings of the th international conference
  • tightly coupled