The Cross-lingual Conversation Summarization Challenge

Abstract

We propose the shared task of cross-lingual conversation summarization, 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 ConvSumX can motivate researches to go beyond English and break the barrier for non-English speakers to benefit from recent advances of conversation summarization.

Publication
Proceedings of the 15th International Natural Language Generation Conference, (INLG), Waterville, American, July 18-22, 2022
Xuefeng Bai
Xuefeng Bai
Ph.D candidate

My research interests include semantics, dialogues and generation.