Isabelle Augenstein

Isabelle Augenstein

Professor

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    ORCID: 0000-0003-1562-7909

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    1. Published

      A Primer on Contrastive Pretraining in Language Processing: Methods, Lessons Learned, and Perspectives

      Rethmeier, Nils & Augenstein, Isabelle, 2023, In: ACM Computing Surveys. 55, 10, 17 p., 203.

      Research output: Contribution to journal › Journal article › Research › peer-review

    2. Published

      What Can We Do to Improve Peer Review in NLP?

      Rogers, A. & Augenstein, Isabelle, 2020, Findings of the Association for Computational Linguistics: EMNLP 2020. Association for Computational Linguistics, p. 1256-1262

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

    3. Published

      QA Dataset Explosion: A Taxonomy of NLP Resources for Question Answering and Reading Comprehension

      Rogers, Anna, Gardner, M. & Augenstein, Isabelle, 2023, In: ACM Computing Surveys. 55, 10, 45 p., 197.

      Research output: Contribution to journal › Journal article › Research › peer-review

    4. Published

      Learning what to share between loosely related tasks

      Ruder, S., Bingel, J., Augenstein, Isabelle & Søgaard, Anders, 23 May 2017, In: arXiv.

      Research output: Contribution to journal › Journal article › Research

    5. Published

      Latent Multi-Task Architecture Learning

      Ruder, S., Bingel, J., Augenstein, Isabelle & Søgaard, Anders, 2019, Proceedings of 33nd AAAI Conference on Artificial Intelligence, AAAI 2019. AAAI Press, p. 4822-4829

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

    6. Published

      A Neighborhood Framework for Resource-Lean Content Flagging

      Sarwar, S. M., Zlatkova, D., Hardalov, M., Dinkov, Y., Augenstein, Isabelle & Nakov, P., 2022, In: Transactions of the Association for Computational Linguistics. 10, p. 484-502

      Research output: Contribution to journal › Journal article › Research › peer-review

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

    8. 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

    9. 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 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

      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 paper › Preprint › Research

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

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

    14. 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 paper › Preprint › Research

    15. 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 journal › Journal article › Research › peer-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 proceeding › Article in proceedings › Research › peer-review

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

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

    19. 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 journal › Journal article › Research

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

    21. 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 proceeding › Article in proceedings › Research

    22. 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 journal › Editorial › Research

    23. 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

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

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

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