Paul A. Crook
- Statistical methods for Dialogue Management; especially POMDP based models.
- Statistical belief tracking of the state of dialogues.
- Automatic dialogue policy learning/optimization using Dynamic Programming and Reinforcement Learning.
- Spoken Dialogue Systems.
- General application of statistical Machine Learning (ML) techniques.
- Jean-Philippe Robichaud, Paul A. Crook, Puyang Xu, Omar Zia Khan, and Ruhi Sarikaya, Hypotheses Ranking for Robust Domain Classification And Tracking in Dialogue Systems, in Proceedings of the 15th Annual Conference of the International Speech Communication Association (INTERSPEECH 2014), ISCA - International Speech Communication Association, September 2014
- P.A. Crook, S. Keizer, Z. Wang, W. Tang, and O. Lemon, Real user evaluation of a POMDP spoken dialogue system using automatic belief compression, in Computer Speech and Language, vol. 28, no. 4, pp. 873-887, Elsevier, May 2014