Isabelle Augenstein

Isabelle Augenstein

Professor

Medlem af:


    1. Udgivet

      Learning what to share between loosely related tasks

      Ruder, S., Bingel, J., Augenstein, Isabelle & Søgaard, Anders, 23 maj 2017, I: arXiv.

      Publikation: Bidrag til tidsskriftTidsskriftartikelForskning

    2. Udgivet

      Long-Tail Zero and Few-Shot Learning via Contrastive Pretraining on and for Small Data

      Rethmeier, Nils & Augenstein, Isabelle, 2022, I: Computer Sciences & Mathematics Forum . 3, 18 s., 10.

      Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

    3. Udgivet

      Longitudinal Citation Prediction using Temporal Graph Neural Networks

      Holm, Andreas Nugaard, Plank, B., Wright, Dustin & Augenstein, Isabelle, 2022, Proceedings of the Workshop on Scientific Document Understanding co-located with 36th AAAI Conference on Artificial Inteligence (AAAI 2022). CEUR, 8 s. (CEUR Workshop Proceedings).

      Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskning

    4. Udgivet

      Machine Reading, Fast and Slow: When Do Models “Understand” Language?

      Ray Choudhury, S., Rogers, Anna & Augenstein, Isabelle, 2022, Proceedings of the 29th International Conference on Computational Linguistics. Association for Computational Linguistics (ACL), s. 78–93

      Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

    5. Udgivet

      Mapping (Dis-)Information Flow about the MH17 Plane Crash

      Hartmann, M., Golovchenko, Yevgeniy & Augenstein, Isabelle, 2019, s. 45-55.

      Publikation: KonferencebidragPaperForskning

    6. 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/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

    7. Udgivet

      Measuring Intersectional Biases in Historical Documents

      Borenstein, Nadav, Stanczak, Karolina Ewa, Rolskov, T., da Silva Perez, N., Klein Kafer, Natacha & Augenstein, Isabelle, 2023, Findings of the 61st Annual Meeting of the Association for Computational Linguistics, ACL 2023. Association for Computational Linguistics (ACL), Bind ACL 2023. s. 2711–2730

      Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

    8. Udgivet

      Modeling Information Change in Science Communication with Semantically Matched Paraphrases

      Wright, Dustin, Pei, J., Jurgens, D. & Augenstein, Isabelle, 2022, Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics, s. 1783-1807 25 s.

      Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskning

    9. Udgivet

      Multi-Hop Fact Checking of Political Claims

      Ostrowski, W., Arora, Arnav, Atanasova, Pepa Kostadinova & Augenstein, Isabelle, 2021, Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence. International Joint Conferences on Artificial Intelligence, Bind CoRR 2020. s. 3892-3898 (arXiv.org).

      Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

    10. Udgivet

      Multi-Sense Language Modelling

      Lekkas, A., Schneider-Kamp, P. & Augenstein, Isabelle, 2020, I: arXiv. CyRR 2020, 10 s.

      Publikation: Bidrag til tidsskriftTidsskriftartikelForskning

    ID: 180388519