Dataset for Automatic Summarization of Russian News
2020-06-19Code Available1· sign in to hype
Ilya Gusev
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ReproduceCode
- github.com/IlyaGusev/summarusOfficialIn paperpytorch★ 173
- github.com/IlyaGusev/gazetaOfficialIn papernone★ 37
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.
Tasks
Benchmark Results
| Dataset | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| Gazeta | Finetuned mBART | ROUGE-1 | 32.1 | — | Unverified |