Work

MLSUM: The Multilingual Summarization Corpus

Year: 2020

Type: conference-paper

Abstract: We present MLSUM, the first large-scale Mul-tiLingual 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.

Source: Conference on Empirical Methods in Natural Language Processing (EMNLP)

DOI: 10.18653/v1/2020.emnlp-main.647

Authors: Thomas Scialom, Paul-Alexis Dray, Sylvain Lamprier, Benjamin Piwowarski, Jacopo Staiano

Institutions: Centre National de la Recherche Scientifique, Université Paris Cité, Sorbonne Université, LIP6

Language: English

Topic: Topic Modeling

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

OpenAlex ID: W3023935112

FWCI: 1.05

Cites: 57

Cited by: 23

Related to: 10