Josef Ruppenhofer

Deutsch

Josef Ruppenhofer (Ph.D.) Photo: Hardy Welsch

Josef Ruppenhofer (Ph.D.)

Research assistant at the research professorship "Computational Linguistics" in the project DAKODA

Email: josef.ruppenhofer

Universitätsstraße 27 – PRG / Building 5
Raum B116 / 1. OG
58097 Hagen

What is my role within CATALPA?

As a computational linguist in the project DAKODA, I work on the application of NLP and computational linguistic methods and tools to the study of language acquisition by L2 learners.

Why CATALPA?

Within the DAKODA project at CATALPA, I can contribute to a diverse and interdisciplinary research group that combines applied interests in NLP/CL and language education with theoretically grounded linguistics.

    • since 03.2023 Postdoctoral researcher in the project DAKODA
    • 08.2018 - 02.2023: co-lead of the Archive for Spoken German, Leibniz-Institute for the German Language, Mannheim
    • 05. 2016 - 07. 2018: Group lead for the area of Sentiment Analysis, Leibniz ScienceCampus, Leibniz-IDS/Universität Heidelberg
    • 05.2011 - 04.2016: Postdoctoral researcher, Institute for Information Science and Language Technology, Hildesheim University
    • 07.2008 - 03.2011: Postdoctoral researcher, Dept. of Computational Linguistics, Saarland University, Saarbrücken
    • 01. 2007 - 06.2008: Intelligent Systems Program, University of Pittsburgh
    • 01.2005 – 01.2006: Postdoctoral researcher, FrameNet project, International Computer Science Institute, Berkeley. CA
    • 12.2004 Phd in Linguistics, University of California at Berkeley
    • 12.1999 MA in Linguistics, University of California at Berkeley
    • 05.1997 MA in Linguistics, University of Colorado at Boulder

    • NLP for educational applications
    • Corpus linguistics
    • Frame semantics, construction grammar
    • Sentiment analysis, offensive language

  • I am working in the project "DAKODA: Data Competencies in DaF/DaZ: Exploration of Language Technology Approaches for the Analysis of L2 Acquisition Levels in Learner Corpora"

  • 2024

    Journals

    • Boas, H. C., Ruppenhofer, J., & Baker, C. (2024). FrameNet at 25. International Journal of Lexicography, 37(3), 263–284. https://doi.org/10.1093/ijl/ecae009

      Flinz, C., & Ruppenhofer, J. (2024). Coreferenza e nuclei tematici nelle interviste del corpus IS. ANNALI. SEZIONE GERMANICA. Rivista del Dipartimento di Studi Letterari, Linguistici e Comparati dell’Università degli studi di Napoli L’Orientale, 383–414. https://doi.org/10.6093/GERMANICA.V0I33.10752

      Wiegand, M., Schulder, M., & Ruppenhofer, J. (2024). Determining sentiment views of verbal multiword expressions using linguistic features. Natural Language Engineering, 30(2), 256-293. https://doi.org/10.1017/S1351324923000153

    Conferences

    • Rehbein, I., Ruppenhofer, J., Brunner, A., & Ponzetto, S. P. (2024). Out of the Mouths of MPs: Speaker Attribution in Parliamentary Debates. In N. Calzolari, M.-Y. Kan, V. Hoste, A. Lenci, S. Sakti, & N. Xue (Eds.), Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024) (pp. 12553–12563). ELRA and ICCL. https://aclanthology.org/2024.lrec-main.1098

      Ruppenhofer, J., Schwendemann, M., Portmann, A., Wisniewski, K., & Zesch, T. (2024). Every Verb in Its Right Place? A Roadmap for Operationalizing Developmental Stages in the Acquisition of L2 German. In N. Calzolari, M.-Y. Kan, V. Hoste, A. Lenci, S. Sakti, & N. Xue (Eds.), Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024) (pp. 6655–6670). ELRA and ICCL. https://aclanthology.org/2024.lrec-main.589

      Wiegand, M., & Ruppenhofer, J. (2024). Oddballs and Misfits: Detecting Implicit Abuse in Which Identity Groups are Depicted as Deviating from the Norm. In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing (pp. 2200–2218). Association for Computational Linguistics. https://doi.org/10.18653/v1/2024.emnlp-main.132

    2023

    Journals

    • Wisniewski, K., Zesch, T., Schwendemann, M., Ruppenhofer, J., & Portmann, A. (2023). Automatische Analysen von Erwerbsstufen in einer großen Lernerkorpus-Datenbank für DaF/DaZ. Das Forschungsprojekt DAKODA. Korpora Deutsch Als Fremdsprache, 3(2). https://doi.org/10.48694/kordaf.3845

    Conferences

    • Kupietz, M., Fankhauser, P., & Ruppenhofer, J. (2023). A distributional comparison between FOLK and DeReKo. The Twelfth International Corpus Linguistics Conference 2023. Lancaster University, Monday 3rd-Thursday 6th July, 2023. Book of Abstracts, 155–155.
    • Wiegand, M., Kampfmeier, J., Eder, E., & Ruppenhofer, J. (2023). Euphemistic abuse – a new dataset and classification experiments for implicitly abusive language. In H. Bouamor, J. Pino, & K. Bali (Eds.), Proceedings of the 2023 conference on empirical methods in natural language processing (pp. 16280–16297). Association for Computational Linguistics. https://doi.org/10.18653/v1/2023.emnlp-main.1012

    2022

    Journals

    • Sanguinetti, M., Bosco, C., Cassidy, L., Çetinoğlu, Ö., Cignarella, A. T., Lynn, T., Rehbein, I., Ruppenhofer, J., Seddah, D., & Zeldes, A. (2022). Treebanking user-generated content: A UD based overview of guidelines, corpora and unified recommendations. Language Resources and Evaluation, 57(2), 493–544. https://doi.org/10.1007/s10579-022-09581-9

Research Professorship Computational Linguistics | 17.12.2024