Stochastic Bi-Languages to model Dialogs

@inproceedings{Torres2013StochasticBT,
  title={Stochastic Bi-Languages to model Dialogs},
  author={M. In{\'e}s Torres},
  booktitle={FSMNLP},
  year={2013}
}
Partially observable Markov decision Processes provide an excellent statistical framework to deal with spoken dialog systems that admits global optimization and deal with uncertainty of user goals. However its put in practice entails intractable problems that need efficient and suboptimal approaches. Alternatively some pattern recognition techniques have also been proposed. In this framework the joint probability distribution over some semantic language provided by the speech understanding… CONTINUE READING

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