Abstract
This paper discusses a domain selection method for multi-domain dialog systems to generate the most appropriate system utterance in response to a user utterance. We present a two-step approach for efficient domain selection. In our proposed approach, the domain candidates are listed in descending order of scores and then each domain is verified by content-based filtering. When we applied our method, the accuracy increased and the time cost decreased compared to baseline methods.
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Acknowledgments
This research was supported by the MKE (Ministry of Knowledge Economy, Korea), under the ITRC (Information Technology Research Center) support programs supervised by the NIPA (National IT Industry Promotion Agency) NIPA-2012-(H0301-12-3002) and NIPA-2012-(H0301-12-3001).
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Lee, I. et al. (2014). A Two-Step Approach for Efficient Domain Selection in Multi-Domain Dialog Systems. In: Mariani, J., Rosset, S., Garnier-Rizet, M., Devillers, L. (eds) Natural Interaction with Robots, Knowbots and Smartphones. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-8280-2_12
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DOI: https://doi.org/10.1007/978-1-4614-8280-2_12
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Online ISBN: 978-1-4614-8280-2
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