Task-oriented dialogue (TOD) systems are mainly based on the
slot-filling-based TOD (SF-TOD) framework, in which dialogues are broken down
into smaller, controllable units (i.e., slots) to fulfill a specific task. A
series of approaches based on this framework achieved remarkable success on
various TOD benchmarks. However, we argue that the current TOD benchmarks are
limited to surrogate real-world scenarios and that the current TOD models are
still a long way from unraveling the scenarios. In this position paper, we
first identify current status and limitations of SF-TOD systems. After that, we
explore the WebTOD framework, the alternative direction for building a scalable
TOD system when a web/mobile interface is available. In WebTOD, the dialogue
system learns how to understand the web/mobile interface that the human agent
interacts with, powered by a large-scale language model.

该论文讨论了针对任务的对话系统，提出了基于填槽的 TOD 系统（SF-TOD）框架的局限性，探讨了可扩展的 WebTOD 框架，后者是在 Web / 移动界面上构建对话系统的替代方向，由大规模语言模型驱动对网页 / 移动界面的理解。