Prof. Dr. Ivan Habernal

Natural Language Processing

Room:
FU201.4

About Ivan Habernal

I hold a W2 Professorship for Natural Language Processing at Paderborn University, Germany. My current research areas include privacy-preserving NLP, legal NLP, and explainable and trustworthy models. My research track spans argument mining and computational argumentation, crowdsourcing, large-scale corpora, serious games, sentiment and sarcasm on social media, and semantic web.

Publications

Latest Publications

Differentially Private Natural Language Models: Recent Advances and Future Directions
L. Hu, I. Habernal, L. Shen, D. Wang, in: Y. Graham, M. Purver (Eds.), Findings of the Association for Computational Linguistics: EACL 2024, St. Julian’s, Malta, March 17-22, 2024, Association for Computational Linguistics, 2024, pp. 478–499.
DP-NMT: Scalable Differentially Private Machine Translation
T. Igamberdiev, D.N.L. Vu, F. Kuennecke, Z. Yu, J. Holmer, I. Habernal, in: N. Aletras, O. De Clercq (Eds.), Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations, Association for Computational Linguistics, St. Julians, Malta, 2024, pp. 94–105.
Answering legal questions from laymen in German civil law system
M. Büttner, I. Habernal, in: Y. Graham, M. Purver (Eds.), Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), Association for Computational Linguistics, St. Julian{’}s, Malta, 2024, pp. 2015–2027.
Privacy-Preserving Natural Language Processing
I. Habernal, F. Mireshghallah, P. Thaine, S. Ghanavati, O. Feyisetan, in: Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics: Tutorial Abstracts, Association for Computational Linguistics, 2023.
Trade-Offs Between Fairness and Privacy in Language Modeling
C. Matzken, S. Eger, I. Habernal, in: Findings of the Association for Computational Linguistics: ACL 2023, Association for Computational Linguistics, 2023.
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Teaching


Current Courses

  • Seminar: Legal Natural Language Processing (in English)
  • Seminar: Contemporary Large Language Models (in English)
  • Privacy-preserving Natural Language Processing (in English)
  • Mathematics for Machine Learning (in English)