The Cross-lingual Conversation Summarization Challenge

TL;DR

The paper introduces the ConvSumX Challenge, a new benchmark for cross-lingual conversation summarization that combines conversation summarization and machine translation, aiming to advance multilingual research especially for low-resource languages.

Contribution

It presents a novel shared task and benchmark covering multiple languages and scenarios, encouraging research beyond English in conversation summarization.

Findings

New benchmark covering 2 scenarios and 3 languages

Includes a low-resource language for broader applicability

Aims to motivate multilingual conversation summarization research

Abstract

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.