Varvara Logacheva — accepted AI-conference papers

2022

ParaDetox: Detoxification with Parallel Data

Varvara Logacheva, Daryna Dementieva, Sergey Ustyantsev, Daniil Moskovskiy, David Dale, Irina Krotova +2

ACL 2022long

We present a novel pipeline for the collection of parallel data for the detoxification task. We collect non-toxic paraphrases for over 10,000 English toxic sentences. We also show that this pipeline can be used to distill a large existing corpus of paraphrases to get toxic-neutral sentence pairs. We…

Cited by 84 Source ↗PDF ↗code ↗Scholar ↗

2021

Text Detoxification using Large Pre-trained Neural Models

David Dale, Anton Voronov, Daryna Dementieva, Varvara Logacheva, Olga Kozlova, Nikita Semenov +1

EMNLP 2021main

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-conditional language models and (2) use of paraphrasing models to perform style transfer. We use a well-performing paraphras…

Cited by 71 Source ↗PDF ↗code ↗Scholar ↗

2020

Studying Taxonomy Enrichment on Diachronic WordNet Versions

Irina Nikishina, Varvara Logacheva, Alexander Panchenko, Natalia Loukachevitch

COLING 2020main

Ontologies, taxonomies, and thesauri have always been in high demand in a large number of NLP tasks. However, most studies are focused on the creation of lexical resources rather than the maintenance of the existing ones and keeping them up-to-date. In this paper, we address the problem of taxonomy…

Cited by 16 Source ↗PDF ↗code ↗Scholar ↗