Isabelle Augenstein

Isabelle Augenstein

Professor

Member of:


    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 articleResearch

    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 articleResearchpeer-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 articleResearchpeer-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 articleResearchpeer-review

    6. Published

      Habilitation Abstract: Towards Explainable Fact Checking

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

      Research output: Contribution to journalJournal articleResearchpeer-review

    7. 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 articleResearchpeer-review

    8. 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 articleResearchpeer-review

    9. Published

      Quantifying gender biases towards politicians on Reddit

      Marjanovic, Sara Vera, Stanczak, Karolina Ewa & Augenstein, Isabelle, 2022, In: PLoS ONE. 17, 10 October, p. 1-36 e0274317.

      Research output: Contribution to journalJournal articleResearchpeer-review

    10. 2021
    11. Published

      Time-aware evidence ranking for fact-checking

      Allein, L., Augenstein, Isabelle & Moens, M. F., 2021, In: Journal of Web Semantics. 71, 14 p., 100663.

      Research output: Contribution to journalJournal articleResearchpeer-review

    12. Published

      White Paper - Creating a Repository of Objectionable Online Content: Addressing Undesirable Biases and Ethical Considerations

      Solorio, T., Shafaei, M., Smailis, C., Augenstein, Isabelle, Mitchell, M., Stapf, I. & Kakadiaris, I., 2021, In: OpenReview.net. 5 p.

      Research output: Contribution to journalJournal articleResearch

    ID: 180388519