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Preprints, Working Papers, ... Year : 2020

MLSUM: The Multilingual Summarization Corpus

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 newspapers 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.

Dates and versions

hal-02989017 , version 1 (05-11-2020)

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Thomas Scialom, Paul-Alexis Dray, Sylvain Lamprier, Benjamin Piwowarski, Jacopo Staiano. MLSUM: The Multilingual Summarization Corpus. 2020. ⟨hal-02989017⟩
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