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

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.