Nikolay Babakov
Orcid: 0000-0002-2568-6702
According to our database1,
Nikolay Babakov
authored at least 14 papers
between 2021 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2024
Beyond plain toxic: building datasets for detection of flammable topics and inappropriate statements.
Lang. Resour. Evaluation, June, 2024
Explaining Bayesian Networks in Natural Language using Factor Arguments. Evaluation in the medical domain.
CoRR, 2024
Scalability of Bayesian Network Structure Elicitation with Large Language Models: a Novel Methodology and Comparative Analysis.
CoRR, 2024
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Short Papers, 2024
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.
Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2024
2023
Proceedings of the 14th International Conference on Recent Advances in Natural Language Processing, 2023
Don't Lose the Message While Paraphrasing: A Study on Content Preserving Style Transfer.
Proceedings of the Natural Language Processing and Information Systems, 2023
Proceedings of the 16th International Natural Language Generation Conference, 2023
2022
Beyond Plain Toxic: Detection of Inappropriate Statements on Flammable Topics for the Russian Language.
CoRR, 2022
Proceedings of the Natural Language Processing and Information Systems, 2022
A large-scale computational study of content preservation measures for text style transfer and paraphrase generation.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop, 2022
2021
Detecting Inappropriate Messages on Sensitive Topics that Could Harm a Company's Reputation.
CoRR, 2021