Isabelle Augenstein

Isabelle Augenstein

Professor


  1. 2022
  2. Published

    Diagnostics-Guided Explanation Generation

    Atanasova, Pepa Kostadinova, Simonsen, Jakob Grue, Lioma, Christina & Augenstein, Isabelle, 2022, In: Proceedings of the International Joint Conference on Artificial Intelligence. 36, 10, p. 10445-10453.

    Research output: Contribution to journalConference article

  3. Published

    Fact Checking with Insufficient Evidence

    Atanasova, Pepa Kostadinova, Simonsen, Jakob Grue, Lioma, Christina & Augenstein, Isabelle, 2022, In: Transactions of the Association for Computational Linguistics. 10, p. 746-763

    Research output: Contribution to journalJournal articlepeer-review

  4. Published

    Few-Shot Cross-Lingual Stance Detection with Sentiment-Based Pre-Training

    Hardalov, M., Arora, Arnav, Nakov, P. & Augenstein, Isabelle, 2022, In: Proceedings of the International Joint Conference on Artificial Intelligence. 36, 10, p. 10729-10737.

    Research output: Contribution to journalConference articlepeer-review

  5. Published

    Generating Fluent Fact Checking Explanations with Unsupervised Post-Editing

    Jolly, S., Atanasova, Pepa Kostadinova & Augenstein, Isabelle, 2022, In: Information (Switzerland). 13, 10, p. 1-18 500.

    Research output: Contribution to journalJournal articlepeer-review

  6. Published

    Generating Scientific Claims for Zero-Shot Scientific Fact Checking

    Wright, Dustin, Wadden, D., Lo, K., Kuehl, B., Cohan, A., Augenstein, Isabelle & Wang, L. L., 2022, Generating Scientific Claims for Zero-Shot Scientific Fact Checking. Association for Computational Linguistics

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  7. Published

    Habilitation Abstract: Towards Explainable Fact Checking

    Augenstein, Isabelle, 2022, In: KI - Künstliche Intelligenz. 36, p. 255–258

    Research output: Contribution to journalJournal articlepeer-review

  8. Published

    Information fusion as an integrative cross-cutting enabler to achieve robust, explainable, and trustworthy medical artificial intelligence

    Holzinger, A., Dehmer, M., Emmert-Streib, F., Cucchiara, R., Augenstein, Isabelle, Ser, J. D., Samek, W., Jurisica, I. & Díaz-Rodríguez, N., 2022, In: Information Fusion. 79, p. 263-278 16 p.

    Research output: Contribution to journalJournal articlepeer-review

  9. Published

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

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

    Research output: Contribution to journalJournal articlepeer-review

  10. Published

    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 p. (CEUR Workshop Proceedings).

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearch

  11. Published

    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), p. 78–93

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

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