Isabelle Augenstein
Professor
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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 › Research › peer-review
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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
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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
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Quantifying gender biases towards politicians on Reddit
Marjanovic, Sara Vera, Stanczak, Karolina Ewa & Augenstein, Isabelle, 2022, In: PLoS ONE. 17, 10 October, p. 1-36 e0274317.Research output: Contribution to journal › Journal article › Research › peer-review
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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
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SIGTYP 2020 Shared Task: Prediction of Typological Features
Bjerva, J., Salesky, E., Mielke, S. J., Chaudhary, A., Giuseppe, C., Ponti, E. M., Vylomova, E., Cotterell, R. & Augenstein, Isabelle, 2020, Proceedings of the Second Workshop on Computational Research in Linguistic Typology. Association for Computational Linguistics, p. 1-11Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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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. 1589-1598Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Semantic Sensitivities and Inconsistent Predictions: Measuring the Fragility of NLI Models
Arakelyan, Erik, Liu, Z. & Augenstein, Isabelle, 2024, EACL 2024 - 18th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference. Graham, Y., Purver, M. & Purver, M. (eds.). Association for Computational Linguistics (ACL), p. 432-444 13 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Semantic Textual Similarity of Sentences with Emojis
Debnath, A., Pinnaparaju, N., Shrivastava, M., Varma, V. & Augenstein, Isabelle, 2020, The Web Conference 2020 - Companion of the World Wide Web Conference, WWW 2020. Association for Computing Machinery, p. 426-430Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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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. 10824-10836Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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SubjQA: A Dataset for Subjectivity and Review Comprehension
Bjerva, J., Bhutani, N., Golshan, B., Tan, W. & Augenstein, Isabelle, 2020, SUBJQA: A Dataset for Subjectivity and Review Comprehension. Association for Computational Linguistics, p. 5480-5494Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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TX-Ray: Quantifying and Explaining Model-Knowledge Transfer in (Un-)Supervised NLP
Rethmeier, Nils, Saxena, V. K. & Augenstein, Isabelle, 2020, Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAII). Peters, J. & Sontag, D. (eds.). PMLR, p. 440-449 (Proceedings of Machine Learning Research, Vol. 124).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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TempEL: Linking Dynamically Evolving and Newly Emerging Entities
Zaporojets, K., Kaffee, L. F., Deleu, J., Demeester, T., Develder, C. & Augenstein, Isabelle, 2022, Advances in Neural Information Processing Systems 35 (NeurIPS 2022). NeurIPS Proceedings, 17 p. (Advances in Neural Information Processing Systems, Vol. 35).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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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
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Time-aware evidence ranking for fact-checking
Allein, L., Augenstein, Isabelle & Moens, M. F., 2021, In: Journal of Web Semantics. 71, 14 p., 100663.Research output: Contribution to journal › Journal article › Research › peer-review
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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
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Towards Explainable Fact Checking
Augenstein, Isabelle, 2021, Department of Computer Science, Faculty of Science, University of Copenhagen. 288 p.Research output: Book/Report › Doctoral thesis › Research
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Tracking Typological Traits of Uralic Languages in Distributed Language Representations
Bjerva, J. & Augenstein, Isabelle, 2018, Proceedings, Fourth International Workshop on Computational Linguistics for Uralic Languages. Association for Computational Linguistics, p. 78-88Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Transductive Auxiliary Task Self-Training for Neural Multi-Task Models
Bjerva, J., Kann, K. & Augenstein, Isabelle, 2019, Proceedings of the 2nd Workshop on Deep Learning Approaches for Low-Resource NLP (DeepLo). Association for Computational Linguistics, p. 253–258Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Transformer Based Multi-Source Domain Adaptation
Wright, Dustin & Augenstein, Isabelle, 2020, Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP). Association for Computational Linguistics, p. 7963-7974Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Uncovering Probabilistic Implications in Typological Knowledge Bases
Bjerva, J., Kementchedjhieva, Yova Radoslavova, Cotterell, R. & Augenstein, Isabelle, 2019, Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics. Association for Computational Linguistics, p. 3924–3930Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Unsupervised Discovery of Gendered Language through Latent-Variable Modeling
Hoyle, A. M., Wolf-sonkin, L., Wallach, H., Augenstein, Isabelle & Cotterell, R., 2020, Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics. Association for Computational Linguistics, p. 1706-1716Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Unsupervised Evaluation for Question Answering with Transformers
Muttenthaler, L., Augenstein, Isabelle & Bjerva, J., 2020, Proceedings of the Third BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP. Association for Computational Linguistics, p. 83-90Research 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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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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229
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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