Isabelle Augenstein

Isabelle Augenstein

Professor


  1. 2022
  2. Published

    A Survey on Stance Detection for Mis- and Disinformation Identification

    Hardalov, M., Arora, Arnav, Nakov, P. & Augenstein, Isabelle, 2022, Findings of the Association for Computational Linguistics: NAACL 2022 - Findings. Association for Computational Linguistics (ACL), p. 1259-1277

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

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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 articlepeer-review

  8. Published

    Neighborhood Contrastive Learning for Scientific Document Representations with Citation Embeddings

    Ostendorff, M., Rethmeier, Nils, Augenstein, Isabelle, Gipp, B. & Rehm, G., 2022, Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics (ACL), p. 11670–11688

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

  9. Published

    Can Edge Probing Tests Reveal Linguistic Knowledge in QA Models?

    Ray Choudhury, S., Bhutani, N. & Augenstein, Isabelle, 2022, Proceedings of the 29th International Conference on Computational Linguistics. Association for Computational Linguistics (ACL), p. 1620–1635

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

  10. 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

  11. 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

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