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Russian Texts Detoxification with Levenshtein Editing

arXiv 2204.13638 ↗First posted 28 Apr 2022cs.CL cs.LGcited by 1

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Abstract (arXiv)

Text detoxification is a style transfer task of creating neutral versions of toxic texts. In this paper, we use the concept of text editing to build a two-step tagging-based detoxification model using a parallel corpus of Russian texts. With this model, we achieved the best style transfer accuracy among all models in the RUSSE Detox shared task, surpassing larger sequence-to-sequence models.

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 17 of its 28 references that are in the map. First posted on arXiv 28 Apr 2022.

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17 of 28 references.

References · 17

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5 more
  1. 2021Text Detoxification using Large Pre-trained Neural Modelscited by 52
  2. 2021LEWIS: Levenshtein Editing for Unsupervised Text Style Transfercited by 40
  3. 2021Methods for Detoxification of Texts for the Russian Languagecited by 13
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Citing papers per year: 2023: 1.

1 paper.

  1. 2023Exploring Methods for Cross-lingual Text Style Transfer: The Case of Text Detoxificationcited by 15