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A Methodology for Learning Optimal Dialog Strategies

  • David Griol
  • Michael F. McTear
  • Zoraida Callejas
  • Ramón López-Cózar
  • Nieves Ábalos
  • Gonzalo Espejo
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6231)

Abstract

In this paper, we present a technique for learning new dialog strategies by using a statistical dialog manager that is trained from a dialog corpus. A dialog simulation technique has been developed to acquire data required to train the dialog model and then explore new dialog strategies. A set of measures has also been defined to evaluate the dialog strategy that is automatically learned. We have applied this technique to explore the space of possible dialog strategies for a dialog system that collects monitored data from patients suffering from diabetes.

Keywords

dialog strategy dialog simulation dialog management dialog systems 

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References

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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • David Griol
    • 1
  • Michael F. McTear
    • 2
  • Zoraida Callejas
    • 3
  • Ramón López-Cózar
    • 3
  • Nieves Ábalos
    • 3
  • Gonzalo Espejo
    • 3
  1. 1.Dept. of Computer ScienceCarlos III University of MadridSpain
  2. 2.School of Computing and MathematicsUniversity of UlsterNorthern Ireland
  3. 3.Dept. of Languages and Computer Systems, CITIC-UGRUniversity of GranadaSpain

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