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Towards the interpretation of utterance sequences in a dialogue system

Ingrid Zukerman, Patrick Ye, Kapil Kumar Gupta, Enes Makalic

Year
2009
Citations
2
Access
Open access

Abstract

This paper describes a probabilistic mechanism for the interpretation of sentence sequences developed for a spoken dialogue system mounted on a robotic agent. The mechanism receives as input a sequence of sentences, and produces an interpretation which integrates the interpretations of individual sentences. For our evaluation, we collected a corpus of hypothetical requests to a robot. Our mechanism exhibits good performance for sentence pairs, but requires further improvements for sentence sequences.

Keywords

UtteranceInterpretation (philosophy)Computer scienceNatural language processingArtificial intelligenceLinguisticsProgramming languagePhilosophy

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