A Two-Step Neural Dialog State Tracker for Task-Oriented Dialog Processing

Dialog state tracking in a spoken dialog system is the task that tracks the flow of a dialog and identifies accurately what a user wants from the utterance. Since the success of a dialog is influenced by the ability of the system to catch the requirements of the user, accurate state tracking is impo...

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Bibliographic Details
Main Authors: A-Yeong Kim, Hyun-Je Song, Seong-Bae Park
Format: Article
Language:English
Published: Hindawi Limited 2018-01-01
Series:Computational Intelligence and Neuroscience
Online Access:http://dx.doi.org/10.1155/2018/5798684