Isabelle Augenstein

Isabelle Augenstein

Professor

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    ORCID: 0000-0003-1562-7909

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    1. Udgivet

      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. (red.). National Institute of Standards and Technology (NIST), 16 s. (NIST Special Publication; Nr. 1266).

      Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    2. Udgivet

      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, s. 4547-4562

      Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    3. Udgivet

      X-WikiRE: A Large, Multilingual Resource for Relation Extraction as Machine Comprehension

      Abdou, M., Sas, C., Aralikatte, R., Augenstein, Isabelle & Søgaard, Anders, 2019, Proceedings of the 2nd Workshop on Deep Learning Approaches for Low-Resource NLP (DeepLo 2019). Association for Computational Linguistics, s. 265-274

      Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    4. Udgivet

      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), s. 5891-5909

      Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    5. Udgivet

      White Paper - Creating a Repository of Objectionable Online Content: Addressing Undesirable Biases and Ethical Considerations

      Solorio, T., Shafaei, M., Smailis, C., Augenstein, Isabelle, Mitchell, M., Stapf, I. & Kakadiaris, I., 2021, I: OpenReview.net. 5 s.

      Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning

    6. Udgivet

      What do language representations really represent?

      Bjerva, J., Östling, R., Veiga, M. H., Tiedemann, J. & Augenstein, Isabelle, 2019, I: Computational Linguistics. 45, 2, s. 381-389 9 s.

      Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

    7. Udgivet

      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, s. 1256-1262

      Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    8. Udgivet

      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, s. 83-90

      Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    9. Udgivet

      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, s. 1706-1716

      Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    10. Udgivet

      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, s. 3924–3930

      Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    11. Udgivet

      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, s. 7963-7974

      Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    12. Udgivet

      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, s. 253–258

      Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    13. Udgivet

      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, s. 78-88

      Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    14. Udgivet

      Towards Explainable Fact Checking

      Augenstein, Isabelle, 2021, Department of Computer Science, Faculty of Science, University of Copenhagen. 288 s.

      Publikation: Bog/antologi/afhandling/rapport › Doktordisputats › Forskning

    15. Udgivet

      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), Bind 1. s. 13448-13464

      Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    16. Udgivet

      Time-aware evidence ranking for fact-checking

      Allein, L., Augenstein, Isabelle & Moens, M. F., 2021, I: Journal of Web Semantics. 71, 14 s., 100663.

      Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

    17. Udgivet

      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), s. 13977-13998

      Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    18. Udgivet

      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 s. (Advances in Neural Information Processing Systems, Bind 35).

      Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    19. Udgivet

      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. (red.). PMLR, s. 440-449 (Proceedings of Machine Learning Research, Bind 124).

      Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    20. Udgivet

      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, s. 5480-5494

      Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    21. Udgivet

      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, s. 10824-10836

      Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    22. Udgivet

      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, s. 426-430

      Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    23. Udgivet

      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. (red.). Association for Computational Linguistics (ACL), s. 432-444 13 s.

      Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    24. Udgivet

      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), s. 1589-1598

      Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    25. Udgivet

      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, s. 1-11

      Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    26. Udgivet

      Revisiting Softmax for Uncertainty Approximation in Text Classification

      Holm, Andreas Nugaard, Wright, Dustin & Augenstein, Isabelle, 2023, I: Information (Switzerland). 14, 7, 16 s., 420.

      Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

    27. Udgivet

      Retrieval-based goal-directed dialogue generation

      Gonzalez, Ana Valeria, Augenstein, Isabelle & Søgaard, Anders, 2019. 11 s.

      Publikation: Konferencebidrag › Paper › Forskning

    28. Udgivet

      Retrieval-based Goal-Oriented Dialogue Generation

      Gonzalez, Ana Valeria, Augenstein, Isabelle & Søgaard, Anders, 2020. 11 s.

      Publikation: Konferencebidrag › Paper › Forskning

    29. Udgivet

      Quantifying gender biases towards politicians on Reddit

      Marjanovic, Sara Vera, Stanczak, Karolina Ewa & Augenstein, Isabelle, 2022, I: PLoS ONE. 17, 10 October, s. 1-36 e0274317.

      Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

    30. Udgivet

      Quantifying gender bias towards politicians in cross-lingual language models

      Stanczak, Karolina Ewa, Choudhury, S. R., Pimentel, T., Cotterell, R. & Augenstein, Isabelle, 2023, I: PLoS ONE. 18, 11 November, s. 1-24 e0277640.

      Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

    31. Udgivet

      QA Dataset Explosion: A Taxonomy of NLP Resources for Question Answering and Reading Comprehension

      Rogers, Anna, Gardner, M. & Augenstein, Isabelle, 2023, I: ACM Computing Surveys. 55, 10, 45 s., 197.

      Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

    32. Udgivet

      Proceedings of the 4th Workshop on Representation Learning for NLP (RepL4NLP-2019)

      Augenstein, Isabelle (red.), Gella, S. (red.), Ruder, S. (red.), Kann, K. (red.), Can, B. (red.), Conneau, A. (red.), Welbl, J. (red.), Ren, X. (red.) & Rei, M. (red.), 2020, Association for Computational Linguistics.

      Publikation: Bog/antologi/afhandling/rapport › Bog › Forskning › fagfællebedømt

    33. Udgivet

      Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Tutorial Abstracts

      Augenstein, Isabelle (red.) & Habernal, I. (red.), 2021, Association for Computational Linguistics (ACL). (EACL 2021 - 16th Conference of the European Chapter of the Association for Computational Linguistics, Tutorial Abstracts).

      Publikation: Bog/antologi/afhandling/rapport › Bog › Forskning › fagfællebedømt

    34. Udgivet

      Proceedings of The Third Workshop on Representation Learning for NLP

      Augenstein, Isabelle (red.), Cao, K. (red.), He, H. (red.), Hill, F. (red.), Gella, S. (red.), Kiros, J. (red.), Mei, H. (red.) & Misra , D., 2018, Proceedings of the Third Workshop: Representation Learning for NLP. Association for Computational Linguistics, 224 s.

      Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    35. Udgivet

      Probing Pre-Trained Language Models for Cross-Cultural Differences in Values

      Arora, Arnav, Kaffee, L. F. & Augenstein, Isabelle, 2022, arxiv.org, 11 s.

      Publikation: Working paper › Preprint › Forskning

    36. Udgivet

      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), s. 114-130

      Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    37. Udgivet

      Preface: Special issue on NLP approaches to offensive content online

      Zampieri, M., Augenstein, Isabelle, Krishnan, S., Melton, J. & Nakov, P., 2023, I: Natural Language Engineering. 29, 6, s. 1415 1 s.

      Publikation: Bidrag til tidsskrift › Leder › Forskning

    38. Udgivet

      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), s. 10480-10504

      Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    39. Udgivet

      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, s. 4992-4997

      Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    40. Udgivet

      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), s. 87–107

      Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    41. Udgivet

      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, s. 25–29

      Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    42. Udgivet

      Neighborhood Contrastive Learning for Scientific Document Representations with Citation Embeddings

      Ostendorff, M., Rethmeier, Nils, Augenstein, Isabelle, Gipp, B. & Rehm, G., 2022, Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics (ACL), s. 11670–11688

      Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    43. Udgivet

      Multilingual Event Extraction from Historical Newspaper Adverts

      Borenstein, Nadav, Da Silva Perez, N. & Augenstein, Isabelle, 2023, Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics: Long Papers. Association for Computational Linguistics (ACL), Bind 1. s. 10304-10325

      Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    44. Udgivet

      MultiFC: A Real-World Multi-Domain Dataset for Evidence-Based Fact Checking of Claims

      Augenstein, Isabelle, Lioma, Christina, Wang, D., Chaves Lima, L., Hansen, C., Hansen, C. & Simonsen, Jakob Grue, 2019, Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP). Association for Computational Linguistics, s. 4684-4697

      Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    45. Udgivet

      Multi3Generation: Multitask, Multilingual, Multimodal Language Generation

      Barreiro, A., de Souza, J. G. C., Gatt, A., Bhatt, M., Lloret, E., Erdem, A., Gkatzia, D., Moniz, H., Russo, I., Kepler, F., Calixto, I., Paprzycki, M., Portet, F., Augenstein, Isabelle & Alhasani, M., 2022, Proceedings of the 23rd Annual Conference of the European Association for Machine Translation -EAMT 2022 . Macken, L., Rufener, A., Van den Bogaert, J., Daems, J., Tezcan, A., Vanroy, B., Fonteyne, M., Barrault, L., Costa-Jussa, M. R., Kemp, E., Pilos, S., Declercq, C., Declercq, C., Koponen, M., Forcada, M. L., Scarton, C. & Moniz, H. (red.). The European Association for Machine Translation, s. 347-348

      Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    46. Udgivet

      Multi-task Learning of Pairwise Sequence Classification Tasks Over Disparate Label Spaces

      Augenstein, Isabelle, Ruder, S. & Søgaard, Anders, 2018, Proceedings, 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies : (Long Papers). Association for Computational Linguistics, Bind 1. s. 1896–1906 11 s.

      Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    47. Udgivet

      Multi-Task Learning of Keyphrase Boundary Classification

      Augenstein, Isabelle & Søgaard, Anders, 2017, Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics : (Short Papers). Barzilay, R. & Kan, M-Y. (red.). Association for Computational Linguistics, Bind 2. s. 341-346 6 s.

      Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    48. Udgivet

      Multi-Sense Language Modelling

      Lekkas, A., Schneider-Kamp, P. & Augenstein, Isabelle, 2020, I: arXiv. CyRR 2020, 10 s.

      Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning

    49. Udgivet

      Multi-Hop Fact Checking of Political Claims

      Ostrowski, W., Arora, Arnav, Atanasova, Pepa Kostadinova & Augenstein, Isabelle, 2021, Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence. International Joint Conferences on Artificial Intelligence, Bind CoRR 2020. s. 3892-3898 (arXiv.org).

      Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    50. Udgivet

      Modeling Information Change in Science Communication with Semantically Matched Paraphrases

      Wright, Dustin, Pei, J., Jurgens, D. & Augenstein, Isabelle, 2022, Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics, s. 1783-1807 25 s.

      Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning

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