Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Methods for Detoxification of Texts for the Russian Language   We introduce the first study of automatic detoxification of Russian texts to
combat offensive language. Such a kind of textual style transfer can be used,
for instance, for processing toxic content in social media. While much work has
been done for the English language in this field, it has never been solved for
the Russian language yet. We test two types of models - unsupervised approach
based on BERT architecture that performs local corrections and supervised
approach based on pretrained language GPT-2 model - and compare them with
several baselines. In addition, we describe evaluation setup providing training
datasets and metrics for automatic evaluation. The results show that the tested
approaches can be successfully used for detoxification, although there is room
for improvement.

31
The categories of this paper are: ao-sci
21
The categories of this paper are: adap-org
22
The categories of this paper are: chao-dyn
2
The categories of this paper are: math
0
The categories of this paper are: hep-ph
29
The categories of this paper are: funct-an
34
The categories of this paper are: chem-ph
3
The categories of this paper are: physics
17
The categories of this paper are: q-fin
24
The categories of this paper are: dg-ga
12
The categories of this paper are: nucl-th
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The categories of this paper are: solv-int
33
The categories of this paper are: plasm-ph
10
The categories of this paper are: q-bio
35
The categories of this paper are: mtrl-th
27
The categories of this paper are: comp-gas