The Cross-lingual Conversation Summarization Challenge

Yulong Chen, Ming Zhong, Xuefeng Bai, Naihao Deng, Jing Li, Xianchao Zhu, Yue Zhang


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 use a new benchmark, covering 2 real-world scenarios and 3 language directions, including a low-resource language, for evaluation. We hope that ConvSumX can motivate research to go beyond English and break the barrier for non-English speakers to benefit from recent advances of conversation summarization.
Anthology ID:
2022.inlg-genchal.2
Volume:
Proceedings of the 15th International Conference on Natural Language Generation: Generation Challenges
Month:
July
Year:
2022
Address:
Waterville, Maine, USA and virtual meeting
Editors:
Samira Shaikh, Thiago Ferreira, Amanda Stent
Venue:
INLG
SIG:
SIGGEN
Publisher:
Association for Computational Linguistics
Note:
Pages:
12–18
Language:
URL:
https://aclanthology.org/2022.inlg-genchal.2
DOI:
Bibkey:
Cite (ACL):
Yulong Chen, Ming Zhong, Xuefeng Bai, Naihao Deng, Jing Li, Xianchao Zhu, and Yue Zhang. 2022. The Cross-lingual Conversation Summarization Challenge. In Proceedings of the 15th International Conference on Natural Language Generation: Generation Challenges, pages 12–18, Waterville, Maine, USA and virtual meeting. Association for Computational Linguistics.
Cite (Informal):
The Cross-lingual Conversation Summarization Challenge (Chen et al., INLG 2022)
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PDF:
https://preview.aclanthology.org/nschneid-patch-2/2022.inlg-genchal.2.pdf