Journal
JOURNAL OF INFORMATION PROCESSING SYSTEMS
Volume 9, Issue 2, Pages 259-270Publisher
KOREA INFORMATION PROCESSING SOC
DOI: 10.3745/JIPS.2013.9.2.259
Keywords
Domain Action; Speech Act; Concept Sequence; Neural Network
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Funding
- Basic Science Research Program through the National Research Foundation of Korea(NRF) - Ministry of Education, Science and Technology [2010-0009875]
- IT R&D program of MKE/KEIT [10041678]
- National Research Foundation of Korea [2010-0009875] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)
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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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