Abstract
We present a practical approach to Natural Language Generation (NLG) for spoken dialogue systems. The approach is based on small template fragments (mini-templates). The system’s object architecture facilitates generation of phrases across pre-defined business domains and registers, as well as into different languages. The architecture simplifies NLG in well-understood application contexts, while providing the flexibility for a developer and for the system, to vary linguistic output according to dialogue context, including any intended affective impact. Mini-templates are used with a suite of domain term objects, resulting in an NLG system (MINTGEN – MINi-Template GENerator) whose extensibility and ease of maintenance is enhanced by the sparsity of information devoted to individual domains. The system also avoids the need for specialist linguistic competence on the part of the system maintainer.
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© 2009 Springer-Verlag Berlin Heidelberg
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Cullen, C., O’Neill, I., Hanna, P. (2009). Flexible Natural Language Generation in Multiple Contexts. In: Vetulani, Z., Uszkoreit, H. (eds) Human Language Technology. Challenges of the Information Society. LTC 2007. Lecture Notes in Computer Science(), vol 5603. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04235-5_13
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DOI: https://doi.org/10.1007/978-3-642-04235-5_13
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-04234-8
Online ISBN: 978-3-642-04235-5
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