Isabelle Augenstein

Isabelle Augenstein

Professor

Member of:


    1. 2021
    2. Published

      Is Sparse Attention more Interpretable?

      Meister, C., Lazov, S., Augenstein, Isabelle & Cotterell, R., 2021, Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 2: Short Papers). Association for Computational Linguistics, p. 122-129

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

    3. Published

      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, Vol. CoRR 2020. p. 3892-3898 (arXiv.org).

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

    4. Published

      Semi-Supervised Exaggeration Detection of Health Science Press Releases

      Wright, Dustin & Augenstein, Isabelle, 2021, Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics, p. 10824-10836

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

    5. 2022
    6. 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

    7. 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

    8. Published

      Counterfactually Augmented Data and Unintended Bias: The Case of Sexism and Hate Speech Detection

      Sen, I., Samory, M., Wagner, C. & Augenstein, Isabelle, 2022, Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. Association for Computational Linguistics (ACL), p. 4716-4726

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

    9. 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

    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

    12. Published

      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, p. 1783-1807 25 p.

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

    ID: 180388519