With the development of dialogue systems and natural language generation techniques, the resurgence of dialogue summarization has attracted significant research attentions, which aims to condense the original dialogue into a shorter version covering salient information. However, there remains a lack of comprehensive survey for this task. To this end, we take the first step and present a thorough review of this research field. In detail, we provide an overview of publicly available research datasets, summarize existing works according to the domain of input dialogue as well as organize leaderboards under unified metrics. Furthermore, we discuss some future directions and give our thoughts. We hope that this first survey of dialogue summarization can provide the community with a quick access and a general picture to this task and motivate future researches.

翻译：随着对话系统的发展和自然语言生成技术的发展,对话总结的重新出现引起了重要的研究关注,其目的是将原有对话压缩为涵盖突出信息的较短版本,然而,仍缺乏对这项任务的全面调查。为此目的,我们迈出第一步,对这个研究领域进行彻底审查。我们详细概述了公开提供的研究数据集,根据投入对话领域总结现有工作,并根据统一指标组织领导板。此外,我们讨论了一些未来方向并提出了我们的想法。我们希望,第一次对话总结调查能够为社区提供快速访问和概况,从而推动未来研究。