Hello!
I am a final-year PhD fellow at Copenhagen University, part of the CoAStal NLP group working with Anders Søgaard. I have worked on a variety of topics, including brain activity-language model alignment, explainable AI, optical character recognition, cultural NLP applications, computational social science, and ethics. My current focus is on NLP for social good applications, working in projects related to sexism detection, bias in multilingual claims, and speech fairness.
My research is motivated by questions around fairness, transparency, open science, and the social impact of language technologies. Feel free to reach out if you want to collaborate 📧 ! I would like to work on something different after my PhD, maybe AI literacy?
My master's degree in Natural Language Processing from Uppsala University provided a strong foundation for this research journey 🗺. My thesis was in Argument Mining and supervised by Joakim Nivre. I also have hands-on experience as a research assistant, data scientist, and software engineer 💻.
Selected Publications
2024
Karamolegkou A., Borah A., Cho E., Choudhury M., Galletti M., Ghosh R., et al. NLP for Social Good: A Survey of Challenges, Opportunities, and Responsible Deployment. Under Review.
Karamolegkou A., Nikandrou M., Pantazopoulos G., Rust P., Hershcovich D., and Søgaard A. Evaluating Language Models as Visual Assistants. In Proceedings of ACL 2024.
Karamolegkou A., Hansen S., Christopoulou A., Stamatiou F., Lauscher A., and Søgaard A. Ethical Concern Identification in NLP . Under Review.
Karamolegkou A., Rust P., Cui R., Cao Y., Hershcovich D. and Søgaard A., . Vision-Language Models under Cultural and Inclusive Considerations. In Proceedings of the 1st Human-Centered Large Language Modeling Workshop, pages 53–66. ACL.
2023
Li*, J., Karamolegkou*, A., Kementchedjhieva, Y., Abdou, M., Lehmann, S., & Søgaard, A. . Structural Similarities Between Language Models and Neural Response Measurements (Neurreps@Neurips 2023, to appear).
Karamolegkou, A., Li, J., Zhou, L., & Søgaard, A. Copyright Violations and Large Language Models. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2023, to appear).
Karamolegkou, Antonia, Mostafa Abdou, and Anders Søgaard. Mapping Brains with Language Models: A Survey . Findings of the Association for Computational Linguistics: ACL 2023.
2022
Due Jeppe, Pedersen Marianne, Antonsen Sussie, Rommedahl Joen, Agerbo Esben, Mortensen Preben Bo, Sørensen Henrik, Lotz Jonas, Piqueras Laura, Fierro Constanza, Karamolegkou Antonia, Igel Christian, Rust Phillip, Søgaard Anders, Pedersen Carsten. 2022. Towards More Comprehensive Nationwide Familial Aggregation Studies in Denmark . Scandinavian Journal of Public Health.
2021
Antonia Karamolegkou, Sara Stymne. Investigation of Transfer Languages for Parsing Latin: Italic Branch vs. Hellenic Branch.. In Proceedings of the 23rd Nordic Conference on Computational Linguistics (NoDaLiDa). Pages 315-320.
Aris Fergadis, Dimitris Pappas, Antonia Karamolegkou, Haris Papageorgiou. Argumentation Mining in Scientific Literature for Sustainable Development. In Proceedings of the 8th Workshop on Argument Mining. Punta Cana, Dominican Republic: Association for Computational Linguistics. Pages 100– 111.