Ivan Habernal

Ivan Habernal

ivan.habernal@uni-paderborn.de
Institution: Paderborn University
Department: Department of Computer Science
Position: Head of the Natural Language Processing Group
We focus on trustworthy human language technologies.

Privacy-preserving natural language processing, legal natural language processing, trustworthy models

  • Trade-Offs Between Fairness and Privacy in Language Modeling (2023)

    Authors: Cleo Matzken, Steffen Eger, Ivan Habernal

    Published at: Proceedings of the Annual Meeting of the Association for Computational Linguistics

  • DP-BART for Privatized Text Rewriting under Local Differential Privacy (2023)

    Authors: Timour Igamberdiev, Ivan Habernal

    Published at: Proceedings of the Annual Meeting of the Association for Computational Linguistics

  • Crowdsourcing on Sensitive Data with Privacy-Preserving Text Rewriting (2023)

    Authors: Nina Mouhammad, Johannes Daxenberger, Benjamin Schiller, Ivan Habernal

    Published at: Proceedings of the Annual Meeting of the Association for Computational Linguistics

  • Mining legal arguments in court decisions (2023)

    Authors: Ivan Habernal, Daniel Faber, Nicola Recchia, Sebastian Bretthauer, Iryna Gurevych, Indra Spiecker genannt Döhmann, Christoph Burchard

    Published at: Artificial Intelligence and Law
    DOI: 10.1007/s10506-023-09361-y

  • Tutorial on Privacy-Preserving Natural Language Processing (2023)

    Authors: Ivan Habernal, Fatemehsadat Mireshghallah, Patricia Thaine, Sepideh Ghanavati, Oluwaseyi Feyisetan

    Published at: EACL 2023 - 17th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of Tutorial Abstracts

  • Privacy-Preserving Models for Legal Natural Language Processing (2022)

    Authors: Ying Yin, Ivan Habernal

    Published at: NLLP 2022 - Natural Legal Language Processing Workshop 2022, Proceedings of the Workshop

  • The Legal Argument Reasoning Task in Civil Procedure (2022)

    Authors: Leonard Bongard, Lena Held, Ivan Habernal

    Published at: NLLP 2022 - Natural Legal Language Processing Workshop 2022, Proceedings of the Workshop

  • One size does not fit all: Investigating strategies for differentially-private learning across NLP tasks (2022)

    Authors: Manuel Senge, Timour Igamberdiev, Ivan Habernal

    Published at: Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, EMNLP 2022

  • DP-Rewrite: Towards Reproducibility and Transparency in Differentially Private Text Rewriting (2022)

    Authors: Timour Igamberdiev, Thomas Arnold, Ivan Habernal

    Published at: Proceedings - International Conference on Computational Linguistics, COLING (Volume: 29)

  • Privacy-Preserving Graph Convolutional Networks for Text Classification (2022)

    Authors: Timour Igamberdiev, Ivan Habernal

    Published at: 2022 Language Resources and Evaluation Conference, LREC 2022