Russian News Clustering and Headline Selection Shared Task

Abstract

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.

SkoltechNLP at SemEval-2022 Task 8: Multilingual News Article Similarity via Exploration of News Texts to Vector Representations

“…In (Rahimi et al, 2019) the approach for cross-lingual transfer is proposed which is evaluated on the Named Entity Recognition task. Dialogue competition (Gusev and Smurov, 2021) on Russian news clustering has produced many promising methods which could be adopted to the multilingual case. Most of them, like (Sergei et al, 2021;Glazkova, 2021), are the variations of fine-tuning the transformer models and making ensembles.…”