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http://dx.doi.org/10.5909/JBE.2022.27.5.685

Dialogue State Tracking using Circumstance Information to Improve the Accuracy of Task-Oriented Dialogue System in Metaverse  

Kim, Seungyeon (University of Science and Technology, UST)
Bang, Junseong (Electronics and Telecommunications Research Institute, ETRI)
Publication Information
Journal of Broadcast Engineering / v.27, no.5, 2022 , pp. 685-693 More about this Journal
Abstract
The Metaverse is getting popular due to the demands for digital transformation and non-contact communication platforms. A conversation system which facilitates communication is not widely applied yet in Metaverse. In this work, we present a method that revises primitive dialogue state using circumstance information from Metaverse. The presented model that leverages both dialogue and circumstance information consists of a dialogue state tracking module and a circumstance state tracking module. In the model, a dialogue state is updated with an algorithm which compares a dialogue state and a circumstance state. As a conversation that reaffirms user intent is added, a wrong dialogue state can be revised and the accuracy of a conversation system can be improved.
Keywords
Metaverse; Dialogue State Tracking; Circumstance Information;
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