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


Hyunjung Lee, Harksoo Kim, Jungyun Seo, Journal of Information Processing Systems Vol. 9, No. 2, pp. 259-270, Jun. 2013  

10.3745/JIPS.2013.9.2.259
Keywords: Domain Action, Speech Act, Concept Sequence, Neural Network
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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.


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Cite this article
[APA Style]
Hyunjung Lee, Harksoo Kim, & Jungyun Seo (2013). An Integrated Neural Network Model for Domain Action Determination in Goal-Oriented Dialogues. Journal of Information Processing Systems, 9(2), 259-270. DOI: 10.3745/JIPS.2013.9.2.259.

[IEEE Style]
H. Lee, H. Kim and J. Seo, "An Integrated Neural Network Model for Domain Action Determination in Goal-Oriented Dialogues," Journal of Information Processing Systems, vol. 9, no. 2, pp. 259-270, 2013. DOI: 10.3745/JIPS.2013.9.2.259.

[ACM Style]
Hyunjung Lee, Harksoo Kim, and Jungyun Seo. 2013. An Integrated Neural Network Model for Domain Action Determination in Goal-Oriented Dialogues. Journal of Information Processing Systems, 9, 2, (2013), 259-270. DOI: 10.3745/JIPS.2013.9.2.259.