Abstract
Dealing with a variety of user questions in question-answer spoken dialogue systems requires preparing as many question-answer patterns as possible. This paper proposes a method for supporting the augmentation of the question-answer database. It uses user questions collected with an initial question-answer system, and detects questions that need to be added to the database. It uses two language models; one is built from the database and the other is a large-vocabulary domain-independent model. Experimental results suggest the proposed method is effective in reducing the amount of effort for augmenting the database when compared to a baseline method that used only the initial database.
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Narimatsu, H., Nakano, M., Funakoshi, K. (2010). A Classifier-Based Approach to Supporting the Augmentation of the Question-Answer Database for Spoken Dialogue Systems. In: Lee, G.G., Mariani, J., Minker, W., Nakamura, S. (eds) Spoken Dialogue Systems for Ambient Environments. IWSDS 2010. Lecture Notes in Computer Science(), vol 6392. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16202-2_19
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DOI: https://doi.org/10.1007/978-3-642-16202-2_19
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-16201-5
Online ISBN: 978-3-642-16202-2
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