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Recent advances and challenges in task-oriented dialog systems

Due to the significance and value in human-computer interaction and natural language processing, task-oriented dialog systems are attracting more and more attention in both academic and industrial communities. In this paper, we survey recent advances and challenges in task-oriented dialog systems. W...

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Published in:Science China. Technological sciences 2020-10, Vol.63 (10), p.2011-2027
Main Authors: Zhang, Zheng, Takanobu, Ryuichi, Zhu, Qi, Huang, MinLie, Zhu, XiaoYan
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Language:English
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description Due to the significance and value in human-computer interaction and natural language processing, task-oriented dialog systems are attracting more and more attention in both academic and industrial communities. In this paper, we survey recent advances and challenges in task-oriented dialog systems. We also discuss three critical topics for task-oriented dialog systems: (1) improving data efficiency to facilitate dialog modeling in low-resource settings, (2) modeling multi-turn dynamics for dialog policy learning to achieve better task-completion performance, and (3) integrating domain ontology knowledge into the dialog model. Besides, we review the recent progresses in dialog evaluation and some widely-used corpora. We believe that this survey, though incomplete, can shed a light on future research in task-oriented dialog systems.
doi_str_mv 10.1007/s11431-020-1692-3
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Modelling
Natural language processing
Review
title Recent advances and challenges in task-oriented dialog systems
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