Abstract
We present MLSUM, the first large-scale MultiLingual SUMmarization dataset. Obtained from online newspapers, it contains 1.5M+ article/summary pairs in five different languages - namely, French, German, Spanish, Russian, Turkish. Together with English news articles from the popular CNN/Daily mail dataset, the collected data form a large scale multilingual dataset which can enable new research directions for the text summarization community. We report cross-lingual comparative analyses based on state-of-the-art systems. These highlight existing biases which motivate the use of a multi-lingual dataset.
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CITATION STYLE
Scialom, T., Dray, P. A., Lamprier, S., Piwowarski, B., & Staiano, J. (2020). MLSUM: The multilingual summarization corpus. In EMNLP 2020 - 2020 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference (pp. 8051–8067). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/2020.emnlp-main.647
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