Abstract
We describe Scusi?, a multi-stage, spoken language interpretation mechanism designed to be part of a robot-mounted dialogue system. Scusi?’s interpretation process maps spoken utterances to conceptual graphs, and the nodes in these graphs to concepts in the world. Maximum posterior probability is used to rank the (partial) interpretations produced at each stage of this process.
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Zukerman, I., Niemann, M., George, S., Marom, Y. (2006). Probabilistic, Multi-staged Interpretation of Spoken Utterances. In: Sattar, A., Kang, Bh. (eds) AI 2006: Advances in Artificial Intelligence. AI 2006. Lecture Notes in Computer Science(), vol 4304. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11941439_150
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DOI: https://doi.org/10.1007/11941439_150
Publisher Name: Springer, Berlin, Heidelberg
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