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20212023
most citedBeyond Plain Toxic: Detection of Inappropriate Statements on Flammable Topics for the Russian Language

3 citations · 8 across the 7 of their papers we have counts for

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cs.CL2023

Exploring Methods for Cross-lingual Text Style Transfer: The Case of Text Detoxification

Daryna Dementieva, Daniil Moskovskiy, David Dale +1

Text detoxification is the task of transferring the style of text from toxic to neutral. While here are approaches yielding promising results in monolingual setup, e.g., (Dale et a…

cs.CL2022

Multiverse: Multilingual Evidence for Fake News Detection

Daryna Dementieva, Mikhail Kuimov, Alexander Panchenko

Misleading information spreads on the Internet at an incredible speed, which can lead to irreparable consequences in some cases. It is becoming essential to develop fake news detec…

cs.CL20222 cited

MEKER: Memory Efficient Knowledge Embedding Representation for Link Prediction and Question Answering

Viktoriia Chekalina, Anton Razzhigaev, Albert Sayapin +2

Knowledge Graphs (KGs) are symbolically structured storages of facts. The KG embedding contains concise data used in NLP tasks requiring implicit information about the real world.…

cs.CL20223 cited

Beyond Plain Toxic: Detection of Inappropriate Statements on Flammable Topics for the Russian Language

Nikolay Babakov, Varvara Logacheva, Alexander Panchenko

Toxicity on the Internet, such as hate speech, offenses towards particular users or groups of people, or the use of obscene words, is an acknowledged problem. However, there also e…

cs.CL2022

Taxonomy Enrichment with Text and Graph Vector Representations

Irina Nikishina, Mikhail Tikhomirov, Varvara Logacheva +3

Knowledge graphs such as DBpedia, Freebase or Wikidata always contain a taxonomic backbone that allows the arrangement and structuring of various concepts in accordance with the hy…

cs.CL2021

Text Detoxification using Large Pre-trained Neural Models

David Dale, Anton Voronov, Daryna Dementieva +4

We present two novel unsupervised methods for eliminating toxicity in text. Our first method combines two recent ideas: (1) guidance of the generation process with small style-cond…