We demonstrate task-oriented dialogue generation within the dataflow dialogue paradigm. We show an example of agenda driven dialogue generation for the MultiWOZ domain, and an example of generation without an agenda for the SMCalFlow domain, where we show an improvement in the accuracy of the translation of user requests to dataflow expressions when the generated dialogues are used to augment the translation training dataset.

翻译：我们在数据流对话范式中演示了任务导向型对话生成。我们展示了MultiWOZ领域中基于议程驱动的对话生成示例，以及SMCalFlow领域中无议程的对话生成示例。结果表明，当生成的对话用于增强翻译训练数据集时，用户请求向数据流表达式的翻译准确性得到了提升。