Isabelle Augenstein

Isabelle Augenstein

Professor


  1. Published

    Discourse-aware rumour stance classification in social media using sequential classifiers

    Zubiaga, A., Kochkina, E., Liakata, M., Procter, R., Lukasik, M., Bontcheva, K., Cohn, T. & Augenstein, Isabelle, Mar 2018, In: Information Processing & Management. 54, 2, p. 273-290

    Research output: Contribution to journalJournal articlepeer-review

  2. Published

    Inducing Language-Agnostic Multilingual Representations

    Zhao, W., Eger, S., Bjerva, J. & Augenstein, Isabelle, 2020, In: arXiv.org. CoRR 2020, 12 p.

    Research output: Contribution to journalJournal article

  3. Published

    TempEL: Linking Dynamically Evolving and Newly Emerging Entities

    Zaporojets, K., Kaffee, L. F., Deleu, J., Demeester, T., Develder, C. & Augenstein, Isabelle, 2022, Advances in Neural Information Processing Systems 35 (NeurIPS 2022). NeurIPS Proceedings, 17 p. (Advances in Neural Information Processing Systems, Vol. 35).

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

  4. Published

    Preface: Special issue on NLP approaches to offensive content online

    Zampieri, M., Augenstein, Isabelle, Krishnan, S., Melton, J. & Nakov, P., 2023, In: Natural Language Engineering. 29, 6, p. 1415 1 p.

    Research output: Contribution to journalEditorial

  5. 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

  6. Published

    Transformer Based Multi-Source Domain Adaptation

    Wright, Dustin & Augenstein, Isabelle, 2020, Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP). Association for Computational Linguistics, p. 7963-7974

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

  7. 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 proceedingArticle in proceedingsResearchpeer-review

  8. 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

  9. Published

    Claim Check-Worthiness Detection as Positive Unlabelled Learning

    Wright, Dustin & Augenstein, Isabelle, 2020, Findings of the Association for Computational Linguistics: EMNLP 2020. Association for Computational Linguistics, p. 476-488

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

  10. 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

  11. Published

    Introduction to the Special Issue on Truth and Trust Online

    Wright, Dustin, Papotti, P. & Augenstein, Isabelle, 2023, In: Journal of Data and Information Quality. 15, 1, 1.

    Research output: Contribution to journalEditorial

  12. Published

    Jack the Reader – A Machine Reading Framework

    Weissenborn, D., Minervini, P., Dettmers, T., Augenstein, Isabelle, Welbl, J., Rocktäschel, T., Bošnjak, M., Mitchell, J., Demeester, T., Stenetorp, P. & Riedel, S., 2018, Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics-System Demonstrations. Association for Computational Linguistics, p. 25–30

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

  13. Published

    Disembodied Machine Learning: On the Illusion of Objectivity in NLP

    Waseem, Z., Lulz, S., Bingel, J. & Augenstein, Isabelle, 2020, In: OpenReview.net. 7 p.

    Research output: Contribution to journalJournal article

  14. Published

    EACL 2023 - 17th Conference of the European Chapter of the Association for Computational Linguistics, Findings of EACL 2023

    Vlachos, A. (ed.) & Augenstein, Isabelle (ed.), 2023, Findings of the Association for Computational Linguistics: EACL 2023. Association for Computational Linguistics (ACL)

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

  15. Published

    EACL 2023 - 17th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference

    Vlachos, A. (ed.) & Augenstein, Isabelle (ed.), 2023, EACL 2023 - 17th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference. Association for Computational Linguistics (ACL)

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

  16. Published

    Nightmare at test time: How punctuation prevents parsers from generalizing

    Søgaard, Anders, Lhoneux, M. D. & Augenstein, Isabelle, 2018, Proceedings of the 2018 EMNLP Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP . Association for Computational Linguistics, p. 25–29

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

  17. Published

    A Latent-Variable Model for Intrinsic Probing

    Stanczak, Karolina Ewa, Torroba Hennigen, L., Williams, A., Cotterell, R. & Augenstein, Isabelle, 2023, In: AAAI Conference on Artificial Intelligence. 37, 11, p. 13591-13599

    Research output: Contribution to journalJournal articlepeer-review

  18. Published

    Same Neurons, Different Languages: Probing Morphosyntax in Multilingual Pre-trained Models

    Stanczak, Karolina Ewa, Ponti, E., Hennigen, L. T., Cotterell, R. & 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. 1589-1598

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

  19. Published

    A Latent-Variable Model for Intrinsic Probing

    Stanczak, Karolina Ewa, Hennigen, L. T., Williams, A., Cotterell, R. & Augenstein, Isabelle, 20 Jan 2022, arxiv.org, 15 p.

    Research output: Working paperPreprintResearch

  20. Published

    Quantifying gender bias towards politicians in cross-lingual language models

    Stanczak, Karolina Ewa, Choudhury, S. R., Pimentel, T., Cotterell, R. & Augenstein, Isabelle, 2023, In: PLoS ONE. 18, 11 November, p. 1-24 e0277640.

    Research output: Contribution to journalJournal articlepeer-review

  21. Published

    Grammatical Gender's Influence on Distributional Semantics: A Causal Perspective

    Stanczak, Karolina Ewa, Du, K., Williams, A., Augenstein, Isabelle & Cotterell, R., 2023, arxiv.org, 12 p.

    Research output: Working paperPreprintResearch

  22. 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 article

  23. Published

    People Make Better Edits: Measuring the Efficacy of LLM-Generated Counterfactually Augmented Data for Harmful Language Detection

    Sen, I., Assenmacher, D., Samory, M., Augenstein, Isabelle, Aalst, W. & Wagner, C., 2023, Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics (ACL), p. 10480-10504

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

  24. 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 proceedingArticle in proceedingsResearchpeer-review

  25. 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

Previous 1 2 3 4 5 Next

ID: 180388519