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12

AUSAI
2008
Springer

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Using Probabilistic Feature Matching to Understand Spoken Descriptions

13 years 7 months ago

Using Probabilistic Feature Matching to Understand Spoken Descriptions

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Abstract. We describe a probabilistic reference disambiguation mechanism developed for a spoken dialogue system mounted on an autonomous robotic agent. Our mechanism performs probabilistic comparisons between features specified in referring expressions (e.g., size and colour) and features of objects in the domain. The results of these comparisons are combined using a function weighted on the basis of the specified features. Our evaluation shows high reference resolution accuracy across a range of spoken referring expressions.

Ingrid Zukerman, Enes Makalic, Michael Niemann

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Artificial Intelligence | AUSAI 2008 | Probabilistic Comparisons | Probabilistic Reference Disambiguation | Spoken Referring Expressions |

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Added	12 Oct 2010
Updated	12 Oct 2010
Type	Conference
Year	2008
Where	AUSAI
Authors	Ingrid Zukerman, Enes Makalic, Michael Niemann

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