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.
@article{arxiv.2003.07490,
title = {Recent Advances and Challenges in Task-oriented Dialog System},
author = {Zheng Zhang and Ryuichi Takanobu and Qi Zhu and Minlie Huang and Xiaoyan Zhu},
journal= {arXiv preprint arXiv:2003.07490},
year = {2020}
}
Comments
Under review of SCIENCE CHINA Technological Science (SCTS)