Dataset for Automatic Summarization of Russian News

Autor:	Gusev, Ilya
Rok vydání:	2020
Předmět:	Computer Science - Computation and Language
Zdroj:	In: AINL 2020. Communications in Computer and Information Science, vol 1292. Springer, Cham (2020)
Druh dokumentu:	Working Paper
DOI:	10.1007/978-3-030-59082-6_9
Popis:	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. Comment: Version 4, October 2021, corrected BLEU scores
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2006.11063 Zobrazit plný text záznamu View this record from Arxiv