activity
20212023
most citedDetecting Inappropriate Messages on Sensitive Topics that Could Harm a Company's Reputation

3 citations · 16 across the 15 of their papers we have counts for

collaborators
Showing 2022Show all

8 papers · 1 filter

cs.CL2022

Error syntax aware augmentation of feedback comment generation dataset

Nikolay Babakov, Maria Lysyuk, Alexander Shvets +2

This paper presents a solution to the GenChal 2022 shared task dedicated to feedback comment generation for writing learning. In terms of this task given a text with an error and 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.CL2022★ 2 cited

Studying the role of named entities for content preservation in text style transfer

Nikolay Babakov, David Dale, Varvara Logacheva +2

Text style transfer techniques are gaining popularity in Natural Language Processing, finding various applications such as text detoxification, sentiment, or formality transfer. Ho…

cs.CL2022

Exploring Cross-lingual Textual Style Transfer with Large Multilingual Language Models

Daniil Moskovskiy, Daryna Dementieva, Alexander Panchenko

Detoxification is a task of generating text in polite style while preserving meaning and fluency of the original toxic text. Existing detoxification methods are designed to work in…

cs.CL2022★ 2 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.CL2022

Detecting Text Formality: A Study of Text Classification Approaches

Daryna Dementieva, Nikolay Babakov, Alexander Panchenko

Formality is one of the important characteristics of text documents. The automatic detection of the formality level of a text is potentially beneficial for various natural language…

cs.CL2022★ 3 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…