Isabelle Augenstein
Professor
Natural Language Processing
Universitetsparken 1
2100 København Ø
- Published
Proceedings of the 4th Workshop on Representation Learning for NLP (RepL4NLP-2019)
Augenstein, Isabelle (ed.), Gella, S. (ed.), Ruder, S. (ed.), Kann, K. (ed.), Can, B. (ed.), Conneau, A. (ed.), Welbl, J. (ed.), Ren, X. (ed.) & Rei, M. (ed.), 2020, Association for Computational Linguistics.Research output: Book/Report › Book › peer-review
- Published
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Tutorial Abstracts
Augenstein, Isabelle (ed.) & Habernal, I. (ed.), 2021, Association for Computational Linguistics (ACL). (EACL 2021 - 16th Conference of the European Chapter of the Association for Computational Linguistics, Tutorial Abstracts).Research output: Book/Report › Book › peer-review
- Published
Proceedings of The Third Workshop on Representation Learning for NLP
Augenstein, Isabelle (ed.), Cao, K. (ed.), He, H. (ed.), Hill, F. (ed.), Gella, S. (ed.), Kiros, J. (ed.), Mei, H. (ed.) & Misra , D., 2018, Proceedings of the Third Workshop: Representation Learning for NLP. Association for Computational Linguistics, 224 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Probing Pre-Trained Language Models for Cross-Cultural Differences in Values
Arora, Arnav, Kaffee, L. F. & Augenstein, Isabelle, 2022, arxiv.org, 11 p.Research output: Working paper › Preprint › Research
- Published
Probing Pre-Trained Language Models for Cross-Cultural Differences in Values
Arora, Arnav, Kaffee, L. & Augenstein, Isabelle, 2023, Proceedings of the First Workshop on Cross-Cultural Considerations in NLP (C3NLP). Association for Computational Linguistics (ACL), p. 114-130Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- 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 journal › Editorial
- 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
- Published
Parameter sharing between dependency parsers for related languages
Lhoneux, M. D., Bjerva, J., Augenstein, Isabelle & Søgaard, Anders, 2020, Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing . Association for Computational Linguistics, p. 4992-4997Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
PHD: Pixel-Based Language Modeling of Historical Documents
Borenstein, Nadav, Rust, Phillip, Elliott, Desmond & Augenstein, Isabelle, 2023, Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processin. Association for Computational Linguistics (ACL), p. 87–107Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- 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. 25–29Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
ID: 180388519
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Mapping (Dis-)Information Flow about the MH17 Plane Crash
Research output: Contribution to conference › Paper › Research
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341
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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
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222
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Proceedings of the 4th Workshop on Representation Learning for NLP (RepL4NLP-2019)
Research output: Book/Report › Book › peer-review
Published