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.
Dataset for Automatic Summarization of Russian News
The Gazeta dataset is introduced for Russian news summarization, validating its effectiveness for extractive and abstractive models and demonstrating the utility of the pretrained mBART model for this task.
- Year
- 2020
- Venue
- arXiv 2020
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- 1
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- Abstract onlyARXIV-DEFAULT
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- arxiv.org/abs/2006.11063v4ARXIV-DEFAULT
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