Prof. Dr. Ivan Habernal

Natural Language Processing

Raum:
FU201.4

Über 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.

Publikationen

Aktuelle Publikationen

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.
Crowdsourcing on Sensitive Data with Privacy-Preserving Text Rewriting
N. Mouhammad, J. Daxenberger, B. Schiller, I. Habernal, in: Proceedings of the 17th Linguistic Annotation Workshop (LAW-XVII), Association for Computational Linguistics, 2023.
Privacy-Preserving Models for Legal Natural Language Processing
Y. Yin, I. Habernal, in: Proceedings of the Natural Legal Language Processing Workshop 2022, Association for Computational Linguistics, 2023.
How Much User Context Do We Need? Privacy by Design in Mental Health NLP Applications
R. Sawhney, A. Neerkaje, I. Habernal, L. Flek, Proceedings of the International AAAI Conference on Web and Social Media 17 (2023) 766–776.
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Lehre


Laufende Lehrveranstaltungen

  • Seminar: Selected Topics from Privacy Preserving Natural Language Processing (in English)
  • Natural Language Processing with Deep Learning (in English)