End-to-end Task-oriented Dialogue: A Survey of Tasks, Methods, and Future Directions

• URL: http://arxiv.org/abs/2311.09008v1
• Date: Wed, 15 Nov 2023 14:50:16 GMT
• Title: End-to-end Task-oriented Dialogue: A Survey of Tasks, Methods, and Future Directions
• Authors: Libo Qin, Wenbo Pan, Qiguang Chen, Lizi Liao, Zhou Yu, Yue Zhang, Wanxiang Che, Min Li
• Abstract summary: End-to-end task-oriented dialogue (EToD) can directly generate responses in an end-to-end fashion without modular training. The advancement of deep neural networks, especially the successful use of large pre-trained models, has led to significant progress in EToD research.
• Score: 65.64674377591852
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: End-to-end task-oriented dialogue (EToD) can directly generate responses in an end-to-end fashion without modular training, which attracts escalating popularity. The advancement of deep neural networks, especially the successful use of large pre-trained models, has further led to significant progress in EToD research in recent years. In this paper, we present a thorough review and provide a unified perspective to summarize existing approaches as well as recent trends to advance the development of EToD research. The contributions of this paper can be summarized: (1) \textbf{\textit{First survey}}: to our knowledge, we take the first step to present a thorough survey of this research field; (2) \textbf{\textit{New taxonomy}}: we first introduce a unified perspective for EToD, including (i) \textit{Modularly EToD} and (ii) \textit{Fully EToD}; (3) \textbf{\textit{New Frontiers}}: we discuss some potential frontier areas as well as the corresponding challenges, hoping to spur breakthrough research in EToD field; (4) \textbf{\textit{Abundant resources}}: we build a public website\footnote{We collect the related papers, baseline projects, and leaderboards for the community at \url{https://etods.net/}.}, where EToD researchers could directly access the recent progress. We hope this work can serve as a thorough reference for the EToD research community.

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