Isabelle Augenstein

Isabelle Augenstein

Professor


  1. 2023
  2. 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. 13591-13599

    Research output: Contribution to journalJournal articlepeer-review

  3. 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 journalJournal articlepeer-review

  4. 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 journalJournal articlepeer-review

  5. 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 journalEditorial

  6. 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 journalEditorial

  7. Published

    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 journalJournal articlepeer-review

  8. Published

    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 journalJournal articlepeer-review

  9. Published

    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 journalJournal articlepeer-review

  10. 2022
  11. Published

    Joint emotion label space modeling for affect lexica

    De Bruyne, L., Atanasova, Pepa Kostadinova & Augenstein, Isabelle, Jan 2022, In: Computer Speech and Language. 71, 20 p., 101257.

    Research output: Contribution to journalJournal articlepeer-review

  12. Published

    A Neighborhood Framework for Resource-Lean Content Flagging

    Sarwar, S. M., Zlatkova, D., Hardalov, M., Dinkov, Y., Augenstein, Isabelle & Nakov, P., 2022, In: Transactions of the Association for Computational Linguistics. 10, p. 484-502

    Research output: Contribution to journalJournal articlepeer-review

  13. Published

    Diagnostics-Guided Explanation Generation

    Atanasova, Pepa Kostadinova, Simonsen, Jakob Grue, Lioma, Christina & Augenstein, Isabelle, 2022, In: Proceedings of the International Joint Conference on Artificial Intelligence. 36, 10, p. 10445-10453.

    Research output: Contribution to journalConference article

  14. Published

    Fact Checking with Insufficient Evidence

    Atanasova, Pepa Kostadinova, Simonsen, Jakob Grue, Lioma, Christina & Augenstein, Isabelle, 2022, In: Transactions of the Association for Computational Linguistics. 10, p. 746-763

    Research output: Contribution to journalJournal articlepeer-review

  15. Published

    Few-Shot Cross-Lingual Stance Detection with Sentiment-Based Pre-Training

    Hardalov, M., Arora, Arnav, Nakov, P. & Augenstein, Isabelle, 2022, In: Proceedings of the International Joint Conference on Artificial Intelligence. 36, 10, p. 10729-10737.

    Research output: Contribution to journalConference articlepeer-review

  16. Published

    Generating Fluent Fact Checking Explanations with Unsupervised Post-Editing

    Jolly, S., Atanasova, Pepa Kostadinova & Augenstein, Isabelle, 2022, In: Information (Switzerland). 13, 10, p. 1-18 500.

    Research output: Contribution to journalJournal articlepeer-review

  17. Published

    Habilitation Abstract: Towards Explainable Fact Checking

    Augenstein, Isabelle, 2022, In: KI - Künstliche Intelligenz. 36, p. 255–258

    Research output: Contribution to journalJournal articlepeer-review

  18. Published

    Information fusion as an integrative cross-cutting enabler to achieve robust, explainable, and trustworthy medical artificial intelligence

    Holzinger, A., Dehmer, M., Emmert-Streib, F., Cucchiara, R., Augenstein, Isabelle, Ser, J. D., Samek, W., Jurisica, I. & Díaz-Rodríguez, N., 2022, In: Information Fusion. 79, p. 263-278 16 p.

    Research output: Contribution to journalJournal articlepeer-review

  19. Published

    Long-Tail Zero and Few-Shot Learning via Contrastive Pretraining on and for Small Data

    Rethmeier, Nils & Augenstein, Isabelle, 2022, In: Computer Sciences & Mathematics Forum . 3, 18 p., 10.

    Research output: Contribution to journalJournal articlepeer-review

  20. Published

    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 journalJournal articlepeer-review

  21. 2021
  22. Published

    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 journalJournal articlepeer-review

  23. Published

    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, In: OpenReview.net. 5 p.

    Research output: Contribution to journalJournal article

  24. 2020
  25. Published

    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 journalJournal article

  26. Published

    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 journalJournal article

  27. Published

    Multi-Sense Language Modelling

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

    Research output: Contribution to journalJournal article

  28. 2019
  29. Published

    Joint Emotion Label Space Modelling for Affect Lexica

    De Bruyne, L., Atanasova, Pepa Kostadinova & Augenstein, Isabelle, 2019, In: arXiv.org. CoRR 2019, 24 p.

    Research output: Contribution to journalJournal article

  30. Published

    What do language representations really represent?

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

    Research output: Contribution to journalJournal articlepeer-review

  31. 2018
  32. Published

    Discourse-aware rumour stance classification in social media using sequential classifiers

    Zubiaga, A., Kochkina, E., Liakata, M., Procter, R., Lukasik, M., Bontcheva, K., Cohn, T. & Augenstein, Isabelle, Mar 2018, In: Information Processing & Management. 54, 2, p. 273-290

    Research output: Contribution to journalJournal articlepeer-review

  33. 2017
  34. Published

    Learning what to share between loosely related tasks

    Ruder, S., Bingel, J., Augenstein, Isabelle & Søgaard, Anders, 23 May 2017, In: arXiv.

    Research output: Contribution to journalJournal article

ID: 180388519