MLSUM: The multilingual summarization corpus
Staiano, Jacopo
2020Institutional Research Information System (Università degli Studi di Trento)122 citationsOpen Access PDF
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.
Topics & Concepts
Automatic summarizationComputer scienceTurkishGermanNewspaperNatural language processingArtificial intelligenceInformation retrievalScale (ratio)Multi-document summarizationWorld Wide WebLinguisticsGeographyPolitical scienceCartographyPhilosophyLawTopic ModelingNatural Language Processing TechniquesText and Document Classification Technologies