The Hidden Information State Approach to Dialog Management

@article{Young2007TheHI,
  title={The Hidden Information State Approach to Dialog Management},
  author={Steve J. Young and Jost Schatzmann and Karl Weilhammer and Hui Ye},
  journal={2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07},
  year={2007},
  volume={4},
  pages={IV-149-IV-152}
}
Partially observable Markov decision processes (POMDPs) provide a principled mathematical framework for modelling the uncertainty inherent in spoken dialog systems. However, conventional POMDPs scale poorly with the size of state and observation space. This paper describes a variation of the classic POMDP called the hidden information state (HIS) model in which belief distributions are represented efficiently by grouping states together into partitions and policy optimisation is made tractable… CONTINUE READING
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