ru
ru
Source
Dialogue
DATE OF PUBLICATION
06/18/2022
Authors
Tatyana Shavrina Alena Fenogenova Alexander Panchenko Daryna Dementieva Varvara Logacheva Irina Nikishina David Dale Irina Krotova Nikita Semenov
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RUSSE-2022: Findings of the First Russian Detoxification Shared Task Based on Parallel Corpora

Style transfer, Detoxification, Corpus, Text generation, Evaluation, Competition, Metrics analysis

Abstract

Text detoxification is the task of rewriting a toxic text into a neutral text while preserving its original content. It
has a wide range of applications, e.g. moderation of output of neural chatbots or suggesting less emotional version of posts on social networks. This paper provides a description of RUSSE-2022 competition of detoxification methods for the Russian language. This is the first competition which features (i) parallel training data and (ii) manual evaluation. We describe the setup of the competition, the solutions of the participating teams and analyse their performance. In addition to that, the large-scale evaluation allows us to analyse the performance of automatic evaluation metrics.

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