Integrating expert knowledge into POMDP optimization for spoken dialog systems

By Jason Williams. 2008

36 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Lihong Li
2. Milica Gasic
3. Jianfeng Gao
4. He He
5. Jason Williams
6. Bing Liu
7. Susannah Young
8. Yoshua Bengio

Citations in the corpus

• Temporal supervised learning for inferring a dialog policy from example conversations (2014, background): “as machine learning-based dialog systems common in the research literature [19, 20].”
• A unifying framework for computational reinforcement learning theory (2009, methodology): “After formulating the optimization of Dialer as an RL problem, we may apply various RL algorithms to solve it [Williams 2008; Li et al. 2009c].”
• POMDP-Based Statistical Spoken Dialog Systems: A Review (2013, background): “In this case, the contributions of b̂i that are further away from b̂ can be down-weighted [40], [62].”