Abstract
In this paper, we present an architecture for task-oriented dialogue that integrates the processes of interpretation and generation. We analyze implemented systems based on this architecture—one for meeting support and another for assisting military medics—and discuss results obtained with the first. In closing, we review some related dialogue architectures and outline plans for future research.
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Notes
- 1.
The abductive inference mechanism can also introduce new top-level goals as default assumptions during its processing.
- 2.
For readability, we omit the top level predicate \({\textit{belief(sys,Content)}}\) and only show the Content.
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Acknowledgments
This research was supported by Grant N00014-09-1-1029 from the Office of Naval Research and a gift from Ericsson. We thank Chitta Baral, Paul Bello, Will Bridewell, Herb Clark, Tolga Könik, Nimish Radia, David Stracuzzi, Chihiro Suga, and Richard Weyrauch for discussions that influenced the approach reported here.
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Gabaldon, A., Langley, P., Meadows, B., Selker, T. (2016). Knowledge-Guided Interpretation and Generation of Task-Oriented Dialogue. In: Rudnicky, A., Raux, A., Lane, I., Misu, T. (eds) Situated Dialog in Speech-Based Human-Computer Interaction. Signals and Communication Technology. Springer, Cham. https://doi.org/10.1007/978-3-319-21834-2_3
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DOI: https://doi.org/10.1007/978-3-319-21834-2_3
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