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An Integrated Neural Network Model for Domain Action Determination in Goal-Oriented Dialogues

  • Lee, Hyunjung (Department of Computer Science, Sogang University) ;
  • Kim, Harksoo (Program of Computer and Communications Engineering, Kangwon National University) ;
  • Seo, Jungyun (Department of Computer Science and Interdisciplinary Program of Integrated Biotechnology, Sogang University)
  • Received : 2012.03.30
  • Accepted : 2012.08.13
  • Published : 2013.06.29

Abstract

A speaker's intentions can be represented by domain actions (domain-independent speech act and domain-dependent concept sequence pairs). Therefore, it is essential that domain actions be determined when implementing dialogue systems because a dialogue system should determine users' intentions from their utterances and should create counterpart intentions to the users' intentions. In this paper, a neural network model is proposed for classifying a user's domain actions and planning a system's domain actions. An integrated neural network model is proposed for simultaneously determining user and system domain actions using the same framework. The proposed model performed better than previous non-integrated models in an experiment using a goal-oriented dialogue corpus. This result shows that the proposed integration method contributes to improving domain action determination performance.

Keywords

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