MLSUM: The Multilingual Summarization Corpus - Sorbonne Université Access content directly
Conference 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 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.

Dates and versions

hal-03364407 , version 1 (04-10-2021)

Identifiers

Cite

Thomas Scialom, Paul-Alexis Dray, Sylvain Lamprier, Benjamin Piwowarski, Jacopo Staiano. MLSUM: The Multilingual Summarization Corpus. 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), Nov 2020, Online, France. pp.8051-8067, ⟨10.18653/v1/2020.emnlp-main.647⟩. ⟨hal-03364407⟩
85 View
0 Download

Altmetric

Share

Gmail Facebook X LinkedIn More