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Building Simulation Environments from Wizard-of-Oz Data

  • Verena Rieser
  • Oliver Lemon
Chapter
Part of the Theory and Applications of Natural Language Processing book series (NLP)

Abstract

This Chapter describes a framework for training and testing a RL-based policy in simulation, where the simulated environment is obtained from limited amounts of Wizard-of-Oz (WOZ) data.

Keywords

Automatic Speech Recognition Reward Function Dialogue System Dialogue Strategy Word Error Rate 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  1. 1.School of Mathematical and Computer SciencesHeriot-Watt UniversityEdinburghUK

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