Bayesian update of dialogue state for robust dialogue systems

This paper presents a new framework for accumulating beliefs in spoken dialogue systems. The technique is based on updating a Bayesian network that represents the underlying state of a partially observable Markov decision process (POMDP). POMDP models provide a principled approach to handling uncertainty in dialogue but generally scale poorly with the size… CONTINUE READING

4 Figures & Tables

Topics

Statistics

05101520082009201020112012201320142015201620172018
Citations per Year

61 Citations

Semantic Scholar estimates that this publication has 61 citations based on the available data.

See our FAQ for additional information.