Isabelle Augenstein

Isabelle Augenstein

Professor

Medlem af:

    ORCID: 0000-0003-1562-7909

    Udgivelsesår:
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    1. Udgivet

      Thorny Roses: Investigating the Dual Use Dilemma in Natural Language Processing

      Kaffee, L., Arora, Arnav, Talat, Z. & Augenstein, Isabelle, 2023, Findings of the Association for Computational Linguistics: EMNLP 2023. Association for Computational Linguistics (ACL), s. 13977-13998

      Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    2. Udgivet

      Why Should This Article Be Deleted? Transparent Stance Detection in Multilingual Wikipedia Editor Discussions

      Kaffee, L., Arora, Arnav & Augenstein, Isabelle, 2023, Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics (ACL), s. 5891-5909

      Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    3. Udgivet

      Measuring Gender Bias in West Slavic Language Models

      Martinková, S., Stańczak, K. & Augenstein, Isabelle, 2023, EACL 2023 - 9th Workshop on Slavic Natural Language Processing, Proceedings of the SlavicNLP 2023. Association for Computational Linguistics (ACL), s. 146-154 9 s.

      Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    4. Udgivet

      A Primer on Contrastive Pretraining in Language Processing: Methods, Lessons Learned, and Perspectives

      Rethmeier, Nils & Augenstein, Isabelle, 2023, I: ACM Computing Surveys. 55, 10, 17 s., 203.

      Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

    5. Udgivet

      QA Dataset Explosion: A Taxonomy of NLP Resources for Question Answering and Reading Comprehension

      Rogers, Anna, Gardner, M. & Augenstein, Isabelle, 2023, I: ACM Computing Surveys. 55, 10, 45 s., 197.

      Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

    6. Udgivet

      People Make Better Edits: Measuring the Efficacy of LLM-Generated Counterfactually Augmented Data for Harmful Language Detection

      Sen, I., Assenmacher, D., Samory, M., Augenstein, Isabelle, Aalst, W. & Wagner, C., 2023, Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics (ACL), s. 10480-10504

      Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    7. Udgivet

      Grammatical Gender's Influence on Distributional Semantics: A Causal Perspective

      Stanczak, Karolina Ewa, Du, K., Williams, A., Augenstein, Isabelle & Cotterell, R., 2023, arxiv.org, 12 s.

      Publikation: Working paper › Preprint › Forskning

    8. Udgivet

      A Latent-Variable Model for Intrinsic Probing

      Stanczak, Karolina Ewa, Torroba Hennigen, L., Williams, A., Cotterell, R. & Augenstein, Isabelle, 2023, I: AAAI Conference on Artificial Intelligence. 37, 11, s. 13591-13599

      Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

    9. Udgivet

      Quantifying gender bias towards politicians in cross-lingual language models

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

      Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

    10. Udgivet

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

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

      Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

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    ID: 180388519