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arXiv 2303.13932cs.CLcs.SDeess.AS

Overview of the ICASSP 2023 General Meeting Understanding and Generation Challenge (MUG)

Speech Lab of DAMO Academy, Alibaba Group（阿里巴巴集团达摩院语音实验室）；Zhejiang University（浙江大学）

Qinglin Zhang, Chong Deng, Jiaqing Liu, Hai Yu, Qian Chen, Wen Wang, Zhijie Yan, Jinglin Liu, Yi Ren, Zhou Zhao

备注：
Paper accepted to the 2023 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2023), Rhodes, Greece
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英文摘要：

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.

机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。

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