This paper introduces the Seventh Dialog System Technology Challenges (DSTC),
which use shared datasets to explore the problem of building dialog systems.
Recently, end-to-end dialog modeling approaches have been applied to various
dialog tasks. The seventh DSTC (DSTC7) focuses on developing technologies
related to end-to-end dialog systems for (1) sentence selection, (2) sentence
generation and (3) audio visual scene aware dialog. This paper summarizes the
overall setup and results of DSTC7, including detailed descriptions of the
different tracks and provided datasets. We also describe overall trends in the
submitted systems and the key results. Each track introduced new datasets and
participants achieved impressive results using state-of-the-art end-to-end
technologies.

本文介绍了第七届对话系统技术挑战赛（DSTC）的概况和研究成果，包括不同追踪和数据集的详细描述。该比赛聚焦于建立端到端的对话系统，并于句子选择、句子生成和音视频场景感知对话等方面展开研究。参赛者使用最先进的技术取得了显著的成果。