Isabelle Augenstein

Isabelle Augenstein

Professor

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    ORCID: 0000-0003-1562-7909

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    1. 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 journal › Journal article › Research › peer-review

    2. Published

      Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Tutorial Abstracts

      Augenstein, Isabelle (ed.) & Habernal, I. (ed.), 2021, Association for Computational Linguistics (ACL). (EACL 2021 - 16th Conference of the European Chapter of the Association for Computational Linguistics, Tutorial Abstracts).

      Research output: Book/Report › Book › Research › peer-review

    3. Published

      Determining the Credibility of Science Communication

      Augenstein, Isabelle, 2021, Proceedings of the Second Workshop on Scholarly Document Processing. Association for Computational Linguistics (ACL), p. 1-6 6 p.

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    4. Published

      Towards Explainable Fact Checking

      Augenstein, Isabelle, 2021, Department of Computer Science, Faculty of Science, University of Copenhagen. 288 p.

      Research output: Book/Report › Doctoral thesis › Research

    5. Published

      Does typological blinding impede cross-lingual sharing?

      Bjerva, J. & Augenstein, Isabelle, 2021, EACL 2021 - 16th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference. Association for Computational Linguistics, p. 480-486

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    6. Published

      Cross-Domain Label-Adaptive Stance Detection

      Hardalov, M., Arora, Arnav, Nakov, P. & Augenstein, Isabelle, 2021, Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics, p. 9011-9028

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    7. 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 proceeding › Article in proceedings › Research › peer-review

    8. 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 proceeding › Article in proceedings › Research › peer-review

    9. Published

      How Does Counterfactually Augmented Data Impact Models for Social Computing Constructs?

      Sen, I., Samory, M., Flöck, F., Wagner, C. & Augenstein, Isabelle, 2021, Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics, p. 325-344

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    10. 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 journal › Journal article › Research

    11. 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 proceeding › Article in proceedings › Research › peer-review

    12. Published

      CiteWorth: Cite-Worthiness Detection for Improved Scientific Document Understanding

      Wright, Dustin & Augenstein, Isabelle, 2021, Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021. Association for Computational Linguistics, p. 1796-1807

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    ID: 180388519