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Dataset for Automatic Summarization of Russian News

arXiv 2006.11063 ↗First posted 19 Jun 2020cs.CLcited by 12

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Abstract (arXiv)

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.

Key facts. Cited by 12 papers in the map (data through 7 Oct 2026). First posted on arXiv 19 Jun 2020.

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Citing papers per year: 2021: 2; 2022: 4; 2023: 0; 2024: 5; 2025: 1.

12 papers.