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AleksandraZwierzchowska

Aleksandra Zwierzchowska

Projects

  • AI.DC – sztuczna inteligencja wspierająca dostępność cyfrową

  • CLARIN-PL – CLARIN-ERIC: European Research Infrastructure Consortium: Common Language Resources and Technology Infrastructure

Publications

List of publications

2025

Witold Kieraś, Łukasz Kobyliński, Dorota Komosińska, Michał Rudolf, Maria Shvedova, and Aleksandra Zwierzchowska. PAWUK: Extensive annotated web corpus of Ukrainian. In Michael H. Lees, Wentong Cai, Siew Ann Cheong, Yi Su, David Abramson, Jack J. Dongarra, and Peter M. A. Sloot, editors, Computational Science – ICCS 2025. 25th International Conference Singapore, Singapore, July 7–9, 2025, Proceedings, Part II, number 15904 in Lecture Notes in Computer Science, pages 94–105, Cham, 2025. Springer Nature Switzerland.

2024

Maciej Ogrodniczuk, Aleksandra Tomaszewska, Daniel Ziembicki, Sebastian Żurowski, Ryszard Tuora, and Aleksandra Zwierzchowska. Polish Discourse Corpus (PDC): Corpus design, ISO-compliant annotation, data highlights, and parser development. In Nicoletta Calzolari, Min-Yen Kan, Veronique Hoste, Alessandro Lenci, Sakriani Sakti, and Nianwen Xue, editors, Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), pages 12829–12835, Torino, Italy, 2024. ELRA and ICCL.

2023

Stanisław Bogdanowicz, Hanna Cwynar, Aleksandra Zwierzchowska, Cezary Klamra, Witold Kieraś, and Łukasz Kobyliński. TwitterEmo: Annotating emotions and sentiment in Polish twitter. In Jiří Mikyška, Clélia de Mulatier, Maciej Paszynski, Valeria V. Krzhizhanovskaya, Jack J. Dongarra, and Peter M.A. Sloot, editors, Computational Science – ICCS 2023. 23rd International Conference, Prague, Czech Republic, July 3–5, 2023, Proceedings, Part II, number 14074 in Lecture Notes in Computer Science, pages 212–220, Cham, 2023. Springer Nature Switzerland.

2022

Ryszard Tuora, Cezary Klamra, Aleksandra Zwierzchowska, Natalia Zawadzka-Paluektau, and Łukasz Kobyliński. Towards a Polish question answering dataset (PoQuAD). In Yuen-Hsien Tseng, Marie Katsurai, and Hoa N. Nguyen, editors, From Born-Physical to Born-Virtual: Augmenting Intelligence in Digital Libraries, pages 194–203. Springer Nature Switzerland, 2022.