Abstract
An interactive personal assistant software system can perform services desired by users through a natural language interface. In this paper, we propose an effective knowledge platform structure that considers expanded structural application domains of language understanding and dialogue management modules. These modules form the core technology of the interactive personal assistant software. For the proposed platform, analysis factors of user intention are systematically defined to understand language, effective dialogue management methods are included to compensate for analytic errors, and the structure of ontology knowledge is described to expand domain knowledge.
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Acknowledgments
This work was supported by the Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (No. NRF-2013R1A1A2010190).
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© 2015 Springer International Publishing Switzerland
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Park, Y., Kang, S., Koo, M., Seo, J. (2015). Dialogue Platform for Interactive Personal Assistant Software. In: Lee, G., Kim, H., Jeong, M., Kim, JH. (eds) Natural Language Dialog Systems and Intelligent Assistants. Springer, Cham. https://doi.org/10.1007/978-3-319-19291-8_24
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DOI: https://doi.org/10.1007/978-3-319-19291-8_24
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-19290-1
Online ISBN: 978-3-319-19291-8
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