We do research on trustworthy human language technologies
The Natural Langauge Processing group focuses on trustworthy human language technologies. This encompasses privacy-preserving NLP, NLP in the legal domain, and more.
Teaching
Winter term 2023/2024
L.079.05551 Natural Language Processing with Deep Learning (BSc)
- Download the lecture slides under open-source licences on our GitHub page: https://github.com/trusthlt/nlp-with-deep-learning-lectures/
- Watch our live-recorded lectures on YouTube: https://www.youtube.com/playlist?list=PL6WLGVNe6ZcB00apoxMtj7WSUOlpm2Xvl
- Join the discussion on Discord (link provided for students only on the PANDA page https://panda.uni-paderborn.de/course/view.php?id=50755 )
MSc: Seminar on selected topics on privacy-preserving natural language processing
Sommer term 2024 (upcoming)
MSc: Privacy-preserving Natural Language Processing (Lectures + Exercises)
MSc: Seminar on Legal Natural Language Processing
MSc: Seminar on selected topics on Large Language Models
Selected recent publications
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.
One size does not fit all: Investigating strategies for differentially-private learning across NLP tasks
M. Senge, T. Igamberdiev, I. Habernal, in: Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, Association for Computational Linguistics, 2023.
DP-BART for Privatized Text Rewriting under Local Differential Privacy
T. Igamberdiev, I. Habernal, in: Findings of the Association for Computational Linguistics: ACL 2023, Association for Computational Linguistics, 2023.
The Legal Argument Reasoning Task in Civil Procedure
L. Bongard, L. Held, I. Habernal, in: Proceedings of the Natural Legal Language Processing Workshop 2022, Association for Computational Linguistics, 2023.
Mining legal arguments in court decisions
I. Habernal, D. Faber, N. Recchia, S. Bretthauer, I. Gurevych, I. Spiecker genannt Döhmann, C. Burchard, Artificial Intelligence and Law (2023).
Privacy-Preserving Graph Convolutional Networks for Text Classification
Alle Publikationen anzeigen
T. Igamberdiev, I. Habernal, in: Proceedings of the Thirteenth Language Resources and Evaluation Conference, European Language Resources Association, Marseille, France, 2022, pp. 338–350.