Task-oriented dialogue (TOD) systems have assisted users on many tasks, including ticket booking and service inquiries. While existing TOD systems have shown promising performance in serving customer needs, these systems mostly assume that users would interact with the dialogue agent politely. This assumption is unrealistic as impatient or frustrated customers may also interact with TOD systems impolitely. This paper aims to address this research gap by investigating impolite users' effects on TOD systems. Specifically, we constructed an impolite dialogue corpus and conducted extensive experiments to evaluate the state-of-the-art TOD systems on our impolite dialogue corpus. Our experimental results show that existing TOD systems are unable to handle impolite user utterances. We also present a data augmentation method to improve TOD performance in impolite dialogues. Nevertheless, handling impolite dialogues remains a very challenging research task. We hope by releasing the impolite dialogue corpus and establishing the benchmark evaluations, more researchers are encouraged to investigate this new challenging research task.
翻译:以任务为导向的对话(TOD)系统帮助用户完成许多任务,包括订票和服务查询。虽然现有的TOD系统在满足客户需求方面表现良好,但这些系统大多假定用户会礼貌地与对话代理进行互动。这种假设是不现实的,因为不耐烦或沮丧的客户也可能不礼貌地与TOD系统进行互动。本文的目的是通过调查用户对TOD系统的影响来弥补这一研究差距。具体地说,我们建立了一个无礼的对话资料库,并进行了广泛的实验,以评价我们无礼的对话资料中最先进的TOD系统。我们的实验结果显示,现有的TOD系统无法处理不切实际的用户言论。我们还提出了一个数据增强方法,以便在无节制的对话中改进TOD的绩效。然而,处理无礼的对话仍然是一项极具挑战性的研究任务。我们希望通过发布无礼的对话资料和确立基准评价,鼓励更多的研究人员调查这项具有挑战性的新的研究任务。