معرفی
Sebastian Padó is a Professor of Computational Linguistics and Chair of Theoretical Computational Linguistics at the University of Stuttgart's Institute for Natural Language Processing (IMS). He leads the research group focusing on developing methods and software to enable computers to understand language meaning, with expertise in computational semantics, digital humanities, and computational social science. His work bridges linguistic theory and practical NLP applications, including political discourse analysis and model interpretability.
- Research Interests: Meaning representations, cross-lingual models, derivational morphology, computational social science, fairness in NLP.
- Affiliations: Institute for Natural Language Processing (IMS), University of Stuttgart; Faculty 05.
His research spans developing semantic frameworks, analyzing political discourse networks, and exploring historical texts. Recent work includes computational analysis of character archetypes in Spanish literature and cross-lingual evaluations of political opinions in LLMs.
Publications (2025 focus): 15+ articles on topics ranging from computational literary studies to machine learning in low-resource settings. No scientific awards explicitly listed, but contributions to key conferences like ACL and EMNLP are notable.
Advising/Grants: Active in guiding research projects and collaborating on interdisciplinary initiatives, though specific grant details are not provided here.
Labs/Teams: Theoretical Computational Linguistics group at IMS, focusing on semantic analysis and NLP applications in social sciences.
