Russian News Clustering and Headline Selection Shared Task

Autor:	Gusev, Ilya, Smurov, Ivan
Rok vydání:	2021
Předmět:	Computer Science - Computation and Language
Druh dokumentu:	Working Paper
Popis:	This paper presents the results of the Russian News Clustering and Headline Selection shared task. As a part of it, we propose the tasks of Russian news event detection, headline selection, and headline generation. These tasks are accompanied by datasets and baselines. The presented datasets for event detection and headline selection are the first public Russian datasets for their tasks. The headline generation dataset is based on clustering and provides multiple reference headlines for every cluster, unlike the previous datasets. Finally, the approaches proposed by the shared task participants are reported and analyzed. Comment: Accepted to Dialogue 2021 conference
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2105.00981 Zobrazit plný text záznamu View this record from Arxiv