The Cross-lingual Conversation Summarization Challenge
This work tackles the problem of enabling non-English speakers to benefit from conversation summarization advances, though it is incremental as it builds on existing summarization and translation methods.
The paper introduces the ConvSumX Challenge, a shared task for cross-lingual conversation summarization, addressing the need for solutions that combine summarization and machine translation, particularly for online meetings, by creating a benchmark covering 2 scenarios and 3 language directions including a low-resource language.
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.