May 4, 2022, 1:11 a.m. | Yulong Chen, Ming Zhong, Xuefeng Bai, Naihao Deng, Jing Li, Xianchao Zhu, Yue Zhang

cs.CL updates on arXiv.org arxiv.org

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 …

arxiv challenge conversation cross-lingual summarization

Lead Developer (AI)

@ Cere Network | San Francisco, US

Research Engineer

@ Allora Labs | Remote

Ecosystem Manager

@ Allora Labs | Remote

Founding AI Engineer, Agents

@ Occam AI | New York

AI Engineer Intern, Agents

@ Occam AI | US

AI Research Scientist

@ Vara | Berlin, Germany and Remote