Karolina Seweryn
Research interests: Natural language processing (NLP), computer vision, multimodal models, action spotting
Karolina Seweryn is a PhD student at the Information and Biomedical Technologies Doctoral School of the Polish Academy of Sciences. Her doctoral research work conducted at NASK involves the analysis of recordings of football matches, especially combining different modalities in training machine learning models. In addition, she is developing a tool to detect domains used for phishing during their registration.
As a member of a research grant team at the Warsaw University of Technology, she worked on automatic act analysis, NLI inference in Polish and model training on small sets. She also taught project classes on Natural Language Processing.
Selected Publications
Articles
Daniel Ziembicki, Karolina Seweryn, Anna Wróblewska, "Polish Natural Language Inference and Factivity – an Expert-based Dataset and Benchmarks", Natural Language Engineering, 30(2), 2023, 385–416.
Anna Wróblewska, Bartosz Pieliński, Karolina Seweryn, Sylwia Sysko-Romańczuk, Karol Saputa, Aleksandra Wichrowska, Hanna Schreiber, "Automating the Analysis of Institutional Design in International Agreements", Computational Science – ICCS 2023, Lecture Notes in Computer Science, vol. 10475, red. Jiří Mikyška, Clélia de Mulatier, Maciej Paszynski, Valeria V. Krzhizhanovskaya, Jack J. Dongarra, Peter M.A. Sloot, 2023, Springer, Cham.