The Cross-lingual Conversation Summarization Challenge
Westlake University（西湖大学）；Sichuan Lan-bridge Information Technology Co., Ltd.（四川蓝桥信息技术有限公司）；Zhejiang University（浙江大学）；University of Illinois at Urbana-Champaign（伊利诺伊大学厄巴纳-香槟分校）；University of Michigan, Ann Arbor（密歇根大学安娜堡分校）
英文摘要：
We propose the shared task of cross-lingual conversation summarization, \emph{ConvSumX Challenge}, opening new avenues for researchers to investigate solutions that integrate conversation summarization and machine translation. This task can be particularly useful due to the emergence of online meetings and conferences. We construct a new benchmark, covering 2 real-world scenarios and 3 language directions, including a low-resource language. We hope that \emph{ConvSumX} can motivate researches to go beyond English and break the barrier for non-English speakers to benefit from recent advances of conversation summarization.
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。
