My current research areas include legal argument mining, privacy-preserving 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.
Sarah explores ethical argumentation in scientific literature. Her thesis focuses on controversial technologies and automatic mining of absent, shifting, and evolving ethical arguments.
Manuel is a bachelor's student at the TU Darmstadt focusing on machine learning. He is currently writing his thesis on the effectiveness and impact on accuracy using differential privacy in NLP.
Lena is studying computer science at TU Darmstadt. In her thesis she deals with differentially private language representation learning.
Daniel explores legal argument mining in court decisions with focus on ECHR decisions and their art of argumentation in regard to their importance level.
Johanna is currently studying computer science at TU Darmstadt. In her bachelor thesis, she compiles an easily accessible legal benchmark dataset to enable evaluating models on a variety of legal NLP tasks.
Lars, student of information systems technologies, cooperates with political scientists to identify indoctrination in German history textbooks through entity emotion analysis.
Ying explores privacy-preserving transformer models in the legal domain. Her thesis combines large-scale pre-training with differential privacy and evaluates the trade-off between privacy-preserving capability and downstream performance.
Timour's current research areas include privacy-preserving NLP, differential privacy in graph neural networks, and privacy-preserving semantic representations of language.
Fabian's research area included legal argument mining, expert annotations, and low-resource and few-shot transfer learning for annotation recommendations.
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.
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.
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!
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).
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".
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.
For the complete list, see my Google Scholar profile.
In this interdisciplinary collaboration, we look into argumentation in the verdicts of the European Court of Human Rights. What makes a verdict of a high importance? Is it the facts? Is it the argumentation pattern? Is it the judges? Or is it something left between the lines?
We combine legal expertise with transformer-based recommendation engines to scale up annotated data acquisition.
Chair for German, European and International Criminal Law and Procedure, Comparative Law and Legal Theory
Director of the Ubiquitous Knowledge Processing (UKP) Lab
Chair in Public Law, Information Law, Environmental Law and Legal Theory
Our slides and videos are freely available at GitHub under open licences.
Send me an e-mail
TU Darmstadt, Hochschulstraße 10, 64289 Darmstadt
ivan (dot) habernal (at) tu-darmstadt.de
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