Daryna Dementieva

According to our database, Daryna Dementieva authored at least 28 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Cross-lingual Text Classification Transfer: The Case of Ukrainian.

Daryna Dementieva, Valeriia Khylenko, Georg Groh

Proceedings of the 31st International Conference on Computational Linguistics, 2025

Multilingual and Explainable Text Detoxification with Parallel Corpora.

Daryna Dementieva, Nikolay Babakov, Amit Ronen, Abinew Ali Ayele, Naquee Rizwan, Florian Schneider, Xintong Wang, Seid Muhie Yimam, Daniil Alekhseevich Moskovskiy, Elisei Stakovskii, Eran Kaufman, Ashraf Elnagar, Animesh Mukherjee, Alexander Panchenko

Proceedings of the 31st International Conference on Computational Linguistics, 2025

2024

Crafting Tomorrow's Headlines: Neural News Generation and Detection in English, Turkish, Hungarian, and Persian.

Cem Üyük, Danica Rovó, Shaghayegh Kolli, Rabia Varol, Georg Groh, Daryna Dementieva

CoRR, 2024

Demarked: A Strategy for Enhanced Abusive Speech Moderation through Counterspeech, Detoxification, and Message Management.

Seid Muhie Yimam, Daryna Dementieva, Tim Fischer, Daniil Moskovskiy, Naquee Rizwan, Punyajoy Saha, Sarthak Roy, Martin Semmann, Alexander Panchenko, Chris Biemann, Animesh Mukherjee

CoRR, 2024

Toxicity Classification in Ukrainian.

Daryna Dementieva, Valeriia Khylenko, Nikolay Babakov, Georg Groh

CoRR, 2024

Ukrainian Texts Classification: Exploration of Cross-lingual Knowledge Transfer Approaches.

Daryna Dementieva, Valeriia Khylenko, Georg Groh

CoRR, 2024

MultiParaDetox: Extending Text Detoxification with Parallel Data to New Languages.

Daryna Dementieva, Nikolay Babakov, Alexander Panchenko

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Short Papers, 2024

Overview of PAN 2024: Multi-author Writing Style Analysis, Multilingual Text Detoxification, Oppositional Thinking Analysis, and Generative AI Authorship Verification - Extended Abstract.

Janek Bevendorff, Xavier Bonet Casals, Berta Chulvi, Daryna Dementieva, Ashraf Elnagar, Dayne Freitag, Maik Fröbe, Damir Korencic, Maximilian Mayerl, Animesh Mukherjee, Alexander Panchenko, Martin Potthast, Francisco Rangel, Paolo Rosso, Alisa Smirnova, Efstathios Stamatatos, Benno Stein, Mariona Taulé, Dmitry Ustalov, Matti Wiegmann, Eva Zangerle

Proceedings of the Advances in Information Retrieval, 2024

Overview of the Multilingual Text Detoxification Task at PAN 2024.

Daryna Dementieva, Daniil Moskovskiy, Nikolay Babakov, Abinew Ali Ayele, Naquee Rizwan, Florian Schneider, Xintong Wang, Seid Muhie Yimam, Dmitry Ustalov, Elisei Stakovskii, Alisa Smirnova, Ashraf Elnagar, Animesh Mukherjee, Alexander Panchenko

Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2024), 2024

Overview of PAN 2024: Multi-author Writing Style Analysis, Multilingual Text Detoxification, Oppositional Thinking Analysis, and Generative AI Authorship Verification Condensed Lab Overview.

Abinew Ali Ayele, Nikolay Babakov, Janek Bevendorff, Xavier Bonet Casals, Berta Chulvi, Daryna Dementieva, Ashaf Elnagar, Dayne Freitag, Maik Fröbe, Damir Korencic, Maximilian Mayerl, Daniil Moskovskiy, Animesh Mukherjee, Alexander Panchenko, Martin Potthast, Francisco Rangel, Naquee Rizwan, Paolo Rosso, Florian Schneider, Alisa Smirnova, Efstathios Stamatatos, Elisei Stakovskii, Benno Stein, Mariona Taulé, Dmitry Ustalov, Xintong Wang, Matti Wiegmann, Seid Muhie Yimam, Eva Zangerle

Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2024

2023

Multiverse: Multilingual Evidence for Fake News Detection.

Daryna Dementieva, Mikhail Kuimov, Alexander Panchenko

J. Imaging, 2023

A Benchmark Dataset to Distinguish Human-Written and Machine-Generated Scientific Papers.

Mohamed Hesham Ibrahim Abdalla, Simon Malberg, Daryna Dementieva, Edoardo Mosca, Georg Groh

Inf., 2023

IFAN: An Explainability-Focused Interaction Framework for Humans and NLP Models.

Edoardo Mosca, Daryna Dementieva, Tohid Ebrahim Ajdari, Maximilian Kummeth, Kirill Gringauz, Georg Groh

CoRR, 2023

Adam-Smith at SemEval-2023 Task 4: Discovering Human Values in Arguments with Ensembles of Transformer-based Models.

Daniel Schroter, Daryna Dementieva, Georg Groh

Proceedings of the The 17th International Workshop on Semantic Evaluation, 2023

AdamR at SemEval-2023 Task 10: Solving the Class Imbalance Problem in Sexism Detection with Ensemble Learning.

Adam Rydelek, Daryna Dementieva, Georg Groh

Proceedings of the The 17th International Workshop on Semantic Evaluation, 2023

Detecting Text Formality: A Study of Text Classification Approaches.

Daryna Dementieva, Nikolay Babakov, Alexander Panchenko

Proceedings of the 14th International Conference on Recent Advances in Natural Language Processing, 2023

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

Daryna Dementieva, Daniil Moskovskiy, David Dale, Alexander Panchenko

Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2023

2022

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

Daniil Moskovskiy, Daryna Dementieva, Alexander Panchenko

CoRR, 2022

Detecting Text Formality: A Study of Text Classification Approaches.

Daryna Dementieva, Ivan Trifinov, Andrey Likhachev, Alexander Panchenko

CoRR, 2022

SkoltechNLP at SemEval-2022 Task 8: Multilingual News Article Similarity via Exploration of News Texts to Vector Representations.

Mikhail Kuimov, Daryna Dementieva, Alexander Panchenko

Proceedings of the 16th International Workshop on Semantic Evaluation, SemEval@NAACL 2022, 2022

Exploring Cross-lingual Text Detoxification with Large Multilingual Language Models.

Daniil Moskovskiy, Daryna Dementieva, Alexander Panchenko

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop, 2022

ParaDetox: Detoxification with Parallel Data.

Varvara Logacheva, Daryna Dementieva, Sergey Ustyantsev, Daniil Moskovskiy, David Dale, Irina Krotova, Nikita Semenov, Alexander Panchenko

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

Methods for Detoxification of Texts for the Russian Language.

Daryna Dementieva, Daniil Moskovskiy, Varvara Logacheva, David Dale, Olga Kozlova, Nikita Semenov, Alexander Panchenko

Multimodal Technol. Interact., 2021

Text Detoxification using Large Pre-trained Neural Models.

David Dale, Anton Voronov, Daryna Dementieva, Varvara Logacheva, Olga Kozlova, Nikita Semenov, Alexander Panchenko

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Crowdsourcing of Parallel Corpora: the Case of Style Transfer for Detoxification.

Daryna Dementieva, Sergey Ustyantsev, David Dale, Olga Kozlova, Nikita Semenov, Alexander Panchenko, Varvara Logacheva

Proceedings of the 2nd Crowd Science Workshop: Trust, 2021

Cross-lingual Evidence Improves Monolingual Fake News Detection.

Daryna Dementieva, Alexander Panchenko

Proceedings of the ACL-IJCNLP 2021 Student Research Workshop, 2021

2020

SkoltechNLP at SemEval-2020 Task 11: Exploring Unsupervised Text Augmentation for Propaganda Detection.

Daryna Dementieva, Igor Markov, Alexander Panchenko

Proceedings of the Fourteenth Workshop on Semantic Evaluation, 2020

Fake News Detection using Multilingual Evidence.

Daryna Dementieva, Alexander Panchenko

Proceedings of the 7th IEEE International Conference on Data Science and Advanced Analytics, 2020