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Computer Science > Computation and Language

arXiv:2303.13932 (cs)
[Submitted on 24 Mar 2023]

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

Authors:Qinglin Zhang, Chong Deng, Jiaqing Liu, Hai Yu, Qian Chen, Wen Wang, Zhijie Yan, Jinglin Liu, Yi Ren, Zhou Zhao
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Abstract: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.
Comments: Paper accepted to the 2023 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2023), Rhodes, Greece
Subjects: Computation and Language (cs.CL); Sound (cs.SD); Audio and Speech Processing (eess.AS)
Cite as: arXiv:2303.13932 [cs.CL]
  (or arXiv:2303.13932v1 [cs.CL] for this version)
  https://doi.org/10.48550/arXiv.2303.13932

Submission history

From: Qinglin Zhang [view email]
[v1] Fri, 24 Mar 2023 11:42:19 UTC (23 KB)
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