ICASSP2023 General Meeting Understanding and Generation Challenge (MUG) focuses on prompting a wide range of spoken language processing (SLP) research on meeting transcripts, as SLP applications are critical to improve users' efficiency in grasping important information in meetings. MUG includes five tracks, including topic segmentation, topic-level and session-level extractive summarization, topic title generation, keyphrase extraction, and action item detection. To facilitate MUG, we construct and release a large-scale meeting dataset, the AliMeeting4MUG Corpus.

翻译：ICASSP 2023通用会议理解与生成挑战赛（MUG）旨在推动会议文本中广泛的口语语言处理（SLP）研究，因为SLP应用对于提升用户高效掌握会议关键信息至关重要。MUG包含五项任务赛道，包括话题分割、话题级和会话级抽取式摘要、话题标题生成、关键词提取以及行动项检测。为支持MUG，我们构建并发布了大规模会议数据集——AliMeeting4MUG语料库。