Isabelle Augenstein
Professor
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Inducing Language-Agnostic Multilingual Representations
Zhao, W., Eger, S., Bjerva, J. & Augenstein, Isabelle, 2020, In: arXiv.org. CoRR 2020, 12 p.Research output: Contribution to journal › Journal article › Research
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Claim Check-Worthiness Detection as Positive Unlabelled Learning
Wright, Dustin & Augenstein, Isabelle, 2020, Findings of the Association for Computational Linguistics: EMNLP 2020. Association for Computational Linguistics, p. 476-488Research 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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Disembodied Machine Learning: On the Illusion of Objectivity in NLP
Waseem, Z., Lulz, S., Bingel, J. & Augenstein, Isabelle, 2020, In: OpenReview.net. 7 p.Research output: Contribution to journal › Journal article › Research
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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
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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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Zero-Shot Cross-Lingual Transfer with Meta Learning
Nooralahzadeh, F., Bekoulis, G., Bjerva, J. & Augenstein, Isabelle, 2020, Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP). Association for Computational Linguistics, p. 4547-4562Research 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
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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
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Multi-Sense Language Modelling
Lekkas, A., Schneider-Kamp, P. & Augenstein, Isabelle, 2020, In: arXiv. CyRR 2020, 10 p.Research output: Contribution to journal › Journal article › Research
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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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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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niversity of Copenhagen Participation in TREC Health Misinformation Track 2020: U
Chaves Lima, L., Wright, ,. D. B., Augenstein, Isabelle & Maistro, Maria, 2020, Proceedings of the Twenty-Ninth Text REtrieval Conference (TREC 2020). Voorhees, E. M. & Ellis, A. (eds.). National Institute of Standards and Technology (NIST), 16 p. (NIST Special Publication; No. 1266).Research 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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Back to the Future: Sequential Alignment of Text Representations
Bjerva, J., Kouw, W. M. & Augenstein, Isabelle, 2020, Proceedings of the 34th AAAI Conference on Artificial Intelligence. AAAI Press, 8 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › 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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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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A Diagnostic Study of Explainability Techniques for Text Classification
Atanasova, Pepa Kostadinova, Simonsen, Jakob Grue, Lioma, Christina & Augenstein, Isabelle, 2020, Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP). Association for Computational Linguistics, p. 3256-3274Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Generating Label Cohesive and Well-Formed Adversarial Claims
Atanasova, Pepa Kostadinova, Wright, Dustin & Augenstein, Isabelle, 2020, Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP). Association for Computational Linguistics, p. 3168-3177Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Generating Fact Checking Explanations
Atanasova, Pepa Kostadinova, Simonsen, Jakob Grue, Lioma, Christina & Augenstein, Isabelle, 2020, : Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics. Association for Computational Linguistics, p. 7352-7364Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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2kenize: Tying Subword Sequences for Chinese Script Conversion
A, P. & Augenstein, Isabelle, 2020, Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics. Association for Computational Linguistics, p. 7257-7272Research 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
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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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Proceedings of the 4th Workshop on Representation Learning for NLP (RepL4NLP-2019)
Research output: Book/Report › Book › Research › peer-review
Published