The Artificial Intelligence & Law journal, a leading outlet for interdisciplinary works in the area of legal NLP, just accepted a paper by Lena Held and Ivan Habernal entitled „LaCour!: Enabling Research on Argumentation in Hearings of the European Court of Human Rights“. The preprint is available at arxiv and the datasets can be easily downloaded from huggingface.
September, 2024
Two papers accepted to EMNLP 2024
EMNLP 2024, the top-tier conference on NLP, accepted two papers on privacy-related topics co-authored by TrustHLT! Granularity is crucial when applying differential privacy to text by Doan Nam Long Vu, Timour Igamberdiev, Ivan Habernal and Private Language Models via Truncated Laplacian Mechanism by Tianhao Huang, Tao Yang, Ivan Habernal, Lijie Hu, Di Wang.
April, 2024
Full professorship at Ruhr-Universität Bochum
I have been appointed as full professor (W3-Forschungsprofessor, research professorship) at the Faculty of Computer Science, Ruhr-Universität Bochum and the Research Center Trustworthy Data Science and Security.
March, 2024
Paper accepted at LREC-COLING
LREC-COLING 2024, the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation accepts one long paper by Chris Weiss, Frauke Kreuter (LMU Münchnen) and Ivan Habernal on user perception of privacy guarantees in NLP datasets.
January, 2024
Three papers accepted at EACL
The 18th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2024) accepts one long paper by Marius Büttner and Ivan Habernal (main conference) entitled „Answering legal questions from laymen in German civil law system“, one demo-paper by Timour Igamberdiev, Doan Nam Long Vu, Felix Künnecke, Zhuo Yu, Jannik Holmer, and Ivan Habernal entitled „DP-NMT: Scalable Differentially-Private Machine Translation“, and one EACL Findings paper by Lijie Hu et al., co-authored by Ivan Habernal, entitled „Differentially Private Natural Language Models: Recent Advances and Future Directions“.
November, 2023
Annual Conference of efl
I’m giving an invited talk at the 2023 Annual Conference of efl – the Data Science Institute in Frankfurt am Main.
October, 2023
W2-Professorship in Paderborn
I’m starting a new position as W2 Professor of Natural Language Processing at Paderborn university.
September 20, 2023
Keynote Talk at TSD 2023
The Text, Speech and Dialogue (TSD 2023) conference invited me to the beautiful city of Pilsen, Czech Republic, to give a keynote talk on privacy in NLP.
July 20, 2023
Timour Igamberdiev defended his PhD thesis
Timour Igamberdiev successfully defended his dissertation thesis on Differential Privacy in NLP with magna cum laude grade. Timour is the first PhD student graduating from the TrustHLT group!
May 10, 2023
Two papers accepted to ACL Findings
TrustHLT has two papers on privacy-preserving NLP accepted to the Findings of the Association for Computational Linguistics: ACL 2023, co-authored by Timour Igamberdiev, Cleo Matzken, and Steffen Eger.
May 6, 2023
Tutorial on Private NLP at EACL
We held a tutorial on Privacy-Preserving Natural Language Processing at the The 17th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2023) in Dubrovin, Croatia. The slides are available at GitHub.
March 15, 2023
Invited talk at Aalto University
It was my pleasure to give an invited talk about Privacy-Preserving Natural Language Processing at the Aalto University in Helsinki. The video recording should soon become available.
March 1, 2023
Tutorial accepted at EACL
The 17th Conference of the European Chapter of the Association for Computational Linguistics will host our tutorial on Privacy-Preserving Natural Langauge Processing in Dubrovnik, in May 2023.
October 7, 2022
Paper accepted at EMNLP
Our new paper „One size does not fit all: Investigating strategies for differentially-private learning across NLP tasks“ by Manuel Senge, Timour Igamberdiev, and myself will be presented at the 2022 Conference on Empirical Methods in Natural Language Processing in Abu Dhabi in December this year.
October 1, 2022
Interim Professorship at LMU
In this winter term, I’m holding a W2 interim professorship at the The Center for Information and Language Processing at the Ludwig-Maximilians-Universität München.
August 17, 2022
Paper accepted at COLING
Our new paper „DP-Rewrite: Towards Reproducibility and Transparency in Differentially Private Text Rewriting“ by Timour Igamberdiev (TrustHLT), Thomas Arnold (UKP), and myself will be presented at the 29th International Conference on Computational Linguistics in Korea in October this year.
August 2, 2022
Member of hessian.AI
I’m now a member of hessian.AI — The Hessian Center for Artificial Intelligence. Its mission is to drive research excellence, education, practice and leadership in AI to foster economic growth and improve the human condition.
April 5, 2022
Paper accepted at LREC
Our paper on protecting privacy of models trained on graph data using differential privacy has been accepted at the International Conference on Language Resources and Evaluation (LREC) to be held in Marseille, France in June.
February 24, 2022
Paper accepted at ACL
Our paper analyzing trickiness of differentially-private text representation learning will be presented at the 60th Annual Meeting of the Association for Computational Linguistics, the world’s top conference for natural language processing.
October 21, 2021
Invited lecture at University of Maine
I’m giving an invited lecture at the School of Computing and Information Science, University of Maine with a bit provoking title „If all you have is a hammer, everything looks like a nail: SGD-DP in privacy-preserving NLP“ (download slides).
September 1, 2021
Paper accepted at EMNLP
Our paper on the pitfalls of differential privacy in NLP will be presented at the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP), one of the world’s leading conferences for natural language processing.
June 10, 2021
Guest lecture on „AI and Criminal Justice“
I’ll be giving a guest lecture at the International Summer School on „AI and Criminal Justice“ in Rome on July 12th. This summer school is a great opportunity to acquire an interdisciplinary and in-depth knowledge in the cutting-edge area of AI and criminal justice.
April 19, 2021
Hosting mentoring session at EACL
I’m happy to volunteer as a mentor for early career researchers at this year’s Conference of the European Chapter of the Association for Computational Linguistics (EACL). One of the topics on the agenda is „How to survive grad school“, I’m very much looking forward to some fresh perspectives!
March 17, 2021
Invited talk on privacy-preserving NLP
Thanks to Yang Gao for invited me over to Royal Holloway, University of London to give an invited talk on privacy-preserving NLP, a joint work with Timour Igamberdiev. Slides available here.
March 3, 2021
Area Chair for argument mining at EMNLP
Happy to join the Area Chairs for sentiment analysis and argument mining at this year’s Conference on Empirical Methods in Natural Language Processing (EMNLP).
December 27, 2020
Standing reviewer of Computational Linguistics
I happily accepted an invitation to join the standing reviewer board of Computational Linguistics, the „longest-running publication devoted exclusively to the computational and mathematical properties of language“.
May 21, 2020
Serving as Tutorial Chair for EACL 2021
Together with Isabelle Augenstein and tutorial chairs for NAACL, EMNLP, and ACL-IJCNLP, we are preparing the next year’s selection of tutorials to be presented either virtually or in-person.