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Dataset for Automatic Summarization of Russian News

Conference paper
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Part of the Communications in Computer and Information Science book series (CCIS, volume 1292)

Abstract

Automatic text summarization has been studied in a variety of domains and languages. However, this does not hold for the Russian language. To overcome this issue, we present Gazeta, the first dataset for summarization of Russian news. We describe the properties of this dataset and benchmark several extractive and abstractive models. We demonstrate that the dataset is a valid task for methods of text summarization for Russian. Additionally, we prove the pretrained mBART model to be useful for Russian text summarization.

Keywords

Text summarization Russian language Dataset mBART 

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Moscow Institute of Physics and TechnologyMoscowRussia

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