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Ilya Gusev
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.
Code Repositories
IlyaGusev/summarus
Official
pytorch
Mentioned in GitHub
IlyaGusev/gazeta
Official
Mentioned in GitHub
Benchmarks
| Benchmark | Methodology | Metrics |
|---|---|---|
| text-summarization-on-gazeta | Finetuned mBART | BLEU: 12.4 Meteor: 25.7 ROUGE-1: 32.1 ROUGE-2: 14.2 ROUGE-L: 27.9 |
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