Explicit State Tracking with Semi-Supervisionfor Neural Dialogue Generation

@article{Jin2018ExplicitST,
  title={Explicit State Tracking with Semi-Supervisionfor Neural Dialogue Generation},
  author={Xisen Jin and Wenqiang Lei and Z. Ren and Hongshen Chen and Shangsong Liang and Y. Zhao and Dawei Yin},
  journal={Proceedings of the 27th ACM International Conference on Information and Knowledge Management},
  year={2018}
}
  • Xisen Jin, Wenqiang Lei, +4 authors Dawei Yin
  • Published 2018
  • Computer Science
  • Proceedings of the 27th ACM International Conference on Information and Knowledge Management
The task of dialogue generation aims to automatically provide responses given previous utterances. Tracking dialogue states is an important ingredient in dialogue generation for estimating users' intention. However, the expensive nature of state labeling and the weak interpretability make the dialogue state tracking a challenging problem for both task-oriented and non-task-oriented dialogue generation: For generating responses in task-oriented dialogues, state tracking is usually learned from… Expand
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