Publications & Talks

Publications:

  1. Giada Pasquettaz, Sergio E. Zanotto, David Garcia and Stephan Lewandoski. (close to submission). Populism Goes Global: The Politics of Performing International Solidarity.
  2. Franco Bastias, Felix Jäger, Nanna Lauritz Schönhage, and Sergio E. Zanotto. (close to submission). Unveiling Inequality: An Open-ended Survey Approach.
  3. Sergio E. Zanotto, and Segun Aroyehun. 2025. Linguistic and Embedding-Based Profiling of Texts generated by Humans and Large Language Models. To appear in the Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing.
  4. Sergio E. Zanotto, Diego Frassinelli, and Miriam Butt. 2024. Language Complexity in Populist Rhetoric .
    In Proceedings of the 4th Workshop on Computational Linguistics for the Political and Social Sciences: Long and Short Papers, pages 61–80, Vienna, Austria. Association for Computational Linguistics.
  5. Sergio E. Zanotto, Qi Yu, Miriam Butt, and Diego Frassinelli. 2024. GRIT: A Dataset of Group Reference Recognition in Italian .
    In Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), pages 7963–7970, Torino, Italia. ELRA and ICCL.
  6. Karen Fort, Laura Alonso Alemany, Luciana Benotti, Julien Bezançon, Claudia Borg, Marthese Borg, Yongjian Chen, Fanny Ducel, Yoann Dupont, Guido Ivetta, Zhijian Li, Margot Mieskes, Marco Naguib, Yuyan Qian, Matteo Radaelli, Wolfgang S. Schmeisser-Nieto, Emma Raimundo Schulz, Thiziri Saci, Sarah Saidi, Javier Torroba Marchante, Shilin Xie, Sergio E. Zanotto, and Aurélie Névéol. 2024. Your Stereotypical Mileage May Vary: Practical Challenges of Evaluating Biases in Multiple Languages and Cultural Contexts .
    In Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), pages 17764–17769, Torino, Italia. ELRA and ICCL.
  7. Sergio E. Zanotto, and Segun Aroyehun. 2024. Human Variability vs. Machine Consistency: A Linguistic Analysis of Texts Generated by Humans and Large Language Models. arXiv preprint arXiv:2412.03025.

Conferences:

Talks: