Isabelle Augenstein
Professor
- 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
- 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
- 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. 10480-10504Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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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. 325-344Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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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. 4716-4726Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- 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. 484-502Research output: Contribution to journal › Journal article › Research › peer-review
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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
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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. 4822-4829Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- 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. 1256-1262Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- 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
ID: 180388519
Most downloads
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1506
downloads
Mapping (Dis-)Information Flow about the MH17 Plane Crash
Research output: Contribution to conference › Paper › Research
Published -
342
downloads
Multi-task Learning of Pairwise Sequence Classification Tasks Over Disparate Label Spaces
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Published -
223
downloads
Proceedings of the 4th Workshop on Representation Learning for NLP (RepL4NLP-2019)
Research output: Book/Report › Book › Research › peer-review
Published