Isabelle Augenstein

Isabelle Augenstein

Professor

Member of:

    ORCID: 0000-0003-1562-7909

    Publication year:
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    101 - 106 out of 106Page size: 10
    1. 2023
    2. Published

      Quantifying gender bias towards politicians in cross-lingual language models

      Stanczak, Karolina Ewa, Choudhury, S. R., Pimentel, T., Cotterell, R. & Augenstein, Isabelle, 2023, In: PLoS ONE. 18, 11 November, p. 1-24 e0277640.

      Research output: Contribution to journal › Journal article › Research › peer-review

    3. Published

      EACL 2023 - 17th Conference of the European Chapter of the Association for Computational Linguistics, Findings of EACL 2023

      Vlachos, A. (ed.) & Augenstein, Isabelle (ed.), 2023, Findings of the Association for Computational Linguistics: EACL 2023. Association for Computational Linguistics (ACL)

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    4. Published

      EACL 2023 - 17th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference

      Vlachos, A. (ed.) & Augenstein, Isabelle (ed.), 2023, EACL 2023 - 17th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference. Association for Computational Linguistics (ACL)

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    5. Published

      Introduction to the Special Issue on Truth and Trust Online

      Wright, Dustin, Papotti, P. & Augenstein, Isabelle, 2023, In: Journal of Data and Information Quality. 15, 1, 1.

      Research output: Contribution to journal › Editorial › Research

    6. Published

      Preface: Special issue on NLP approaches to offensive content online

      Zampieri, M., Augenstein, Isabelle, Krishnan, S., Melton, J. & Nakov, P., 2023, In: Natural Language Engineering. 29, 6, p. 1415 1 p.

      Research output: Contribution to journal › Editorial › Research

    7. 2024
    8. Published

      Adapting Neural Link Predictors for Data-Efficient Complex Query Answering

      Arakelyan, Erik, Minervini, P., Daza, D., Cochez, M. & Augenstein, Isabelle, 2024, 37th Conference on Neural Information Processing Systems (NeurIPS 2023).. OpenReview.net, 13 p.

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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