TECHNICAL INFORMATICS AND TELECOMMUNICATIONS
Jan Kocoń, PhD, Eng.
Department of Artificial Intelligence
Faculty of Information Technology and Telecommunications
"I’m concerned with the development of artificial intelligence methods in the field of natural language processing. Currently, most of my work focuses on the development of personalised models based on deep neural networks for subjective tasks, such as recognising emotions, offence, humour, overtones, etc. in text.
This research leads to the targeting of artificial intelligence methods to the needs of a specific individual while allowing for the individual characteristics of a person and the context in which the text is evaluated the decision-making process. This work also has practical applications, as the CLARIN-PL project has produced services based on the models developed, which are used by researchers in the humanities and social sciences, as well as by companies involved in areas including media monitoring."
Selected published works:
- Kocoń, J., Figas, A., Gruza, M., Puchalska, D., Kajdanowicz, T., & Kazienko, P. (2021). Offensive, aggressive, and hate speech analysis: From data-centric to human-centered approach. Information Processing & Management, 58(5), 102643. https://www.sciencedirect.com/science/article/pii/S0306457321001333
- Kocoń, J., Gruza, M., Bielaniewicz, J., Grimling, D., Kanclerz, K., Miłkowski, P., & Kazienko, P. (2021). Learning Personal Human Biases and Representations for Subjective Tasks in Natural Language Processing. In 2021 IEEE International Conference on Data Mining (ICDM) (pp. 1168-1173). IEEE. https://ieeexplore.ieee.org/abstract/document/9679002
- Kocoń, J., & Maziarz, M. (2021). Mapping WordNet onto human brain connectome in emotion processing and semantic similarity recognition. Information Processing & Management, 58(3), 102530. https://www.sciencedirect.com/science/article/pii/S0306457321000388



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