Isabelle Augenstein
Professor
- 2023
- 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
- Published
Revisiting Softmax for Uncertainty Approximation in Text Classification
Holm, Andreas Nugaard, Wright, Dustin & Augenstein, Isabelle, 2023, In: Information (Switzerland). 14, 7, 16 p., 420.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Thorny Roses: Investigating the Dual Use Dilemma in Natural Language Processing
Kaffee, L., Arora, Arnav, Talat, Z. & Augenstein, Isabelle, 2023, Findings of the Association for Computational Linguistics: EMNLP 2023. Association for Computational Linguistics (ACL), p. 13977-13998Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Topic-Guided Sampling For Data-Efficient Multi-Domain Stance Detection
Arakelyan, Erik, Arora, Arnav & Augenstein, Isabelle, 2023, Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics: Long papers. Association for Computational Linguistics (ACL), Vol. 1. p. 13448-13464Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Why Should This Article Be Deleted? Transparent Stance Detection in Multilingual Wikipedia Editor Discussions
Kaffee, L., Arora, Arnav & Augenstein, Isabelle, 2023, Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics (ACL), p. 5891-5909Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- 2022
- 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
- Published
Joint emotion label space modeling for affect lexica
De Bruyne, L., Atanasova, Pepa Kostadinova & Augenstein, Isabelle, Jan 2022, In: Computer Speech and Language. 71, 20 p., 101257.Research output: Contribution to journal › Journal article › 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
- 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. 1259-1277Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- 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. 1620–1635Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
ID: 180388519
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1511
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Mapping (Dis-)Information Flow about the MH17 Plane Crash
Research output: Contribution to conference › Paper › Research
Published -
343
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 -
228
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Proceedings of the 4th Workshop on Representation Learning for NLP (RepL4NLP-2019)
Research output: Book/Report › Book › Research › peer-review
Published