Isabelle Augenstein
Professor
- 2023
- 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. 13591-13599Research output: Contribution to journal › Journal article › Research › peer-review
- 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
Detecting Harmful Content on Online Platforms: What Platforms Need vs. Where Research Efforts Go
Arora, Arnav, Nakov, P., Hardalov, M., Sarwar, S. M., Nayak, V., Dinkov, Y., Zlatkova, D., Dent, K., Bhatawdekar, A., Bouchard, G. & Augenstein, Isabelle, 2023, In: ACM Computing Surveys. 56, 3, p. 1-17 72.Research output: Contribution to journal › Journal article › Research › peer-review
- 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
- 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
- Published
Explaining Interactions Between Text Spans
Choudhury, S., Atanasova, Pepa Kostadinova & Augenstein, Isabelle, 2023, Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics (ACL), p. 12709-12730Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Faithfulness Tests for Natural Language Explanations
Atanasova, Pepa Kostadinova, Camburu, O. M., Lioma, Christina, Lukasiewicz, T., Simonsen, Jakob Grue & Augenstein, Isabelle, 2023, Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers). Association for Computational Linguistics (ACL), p. 283-294 12 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- 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
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
- Published
Invisible Women in Digital Diplomacy: A Multidimensional Framework for Online Gender Bias Against Women Ambassadors Worldwide
Golovchenko, Yevgeniy, Stanczak, Karolina Ewa, Adler-Nissen, Rebecca, Wangen, P. & Augenstein, Isabelle, 2023, arxiv.org, 59 p.Research output: Working paper › Preprint › Research
ID: 180388519
Most downloads
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1508
downloads
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
downloads
Proceedings of the 4th Workshop on Representation Learning for NLP (RepL4NLP-2019)
Research output: Book/Report › Book › Research › peer-review
Published