Abstract
Chat functionality is currently regarded as an important factor in spoken dialogue systems. In this article, we explore the architecture of a chat-oriented dialogue system that can continue a long conversation with users and can be used for a long time. To achieve this goal, we propose a method which combines various types of response generation modules, such as a statistical model-based module, a rule-based module and a topic transition-oriented module. The core of this architecture is a method for selecting the most appropriate response based on a breakdown index and a development index. The experimental results show that the weighted sum of these indexes can be used for evaluating system utterances from the viewpoint of continuous dialogue and long-term usage.
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Acknowledgements
We thank all members of the dialogue task of “Project Next NLP” for the data collection and annotation.
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Mori, H., Yasuda, A., Araki, M. (2017). An Evaluation Method for System Response in Chat-Oriented Dialogue System. In: Jokinen, K., Wilcock, G. (eds) Dialogues with Social Robots. Lecture Notes in Electrical Engineering, vol 427. Springer, Singapore. https://doi.org/10.1007/978-981-10-2585-3_32
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DOI: https://doi.org/10.1007/978-981-10-2585-3_32
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