Probabilistic matching for dialog state tracking with limited training data
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United States of America Patent
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May 22, 2018
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Nov 3, 2016
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Nov 3, 2016
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Abstract
A system and method for dialog state tracking employ an ontology in which a set of values are indexed by slot. A segment of a dialog is processed to detect mentions. Candidate slot values are extracted from the ontology, based on the detected mentions. The candidate slot values are ranked. A dialog state is updated, based on the ranking of the candidate slot values, which may be conditioned on the output of a temporal model, which predicts whether the value of the slot has been instantiated, modified, or is unchanged.
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