Isabelle Augenstein

Isabelle Augenstein

Professor

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    ORCID: 0000-0003-1562-7909

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    1. Published

      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. 7257-7272

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    2. Published

      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. 3256-3274

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    3. Published

      A Latent-Variable Model for Intrinsic Probing

      Stanczak, Karolina Ewa, Hennigen, L. T., Williams, A., Cotterell, R. & Augenstein, Isabelle, 20 Jan 2022, arxiv.org, 15 p.

      Research output: Working paper › Preprint › Research

    4. 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 journal › Journal article › Research › peer-review

    5. 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 journal › Journal article › Research › peer-review

    6. 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 journal › Journal article › Research › peer-review

    7. Published

      A Probabilistic Generative Model of Linguistic Typology

      Bjerva, J., Kementchedjhieva, Yova Radoslavova, Cotterell, R. & Augenstein, Isabelle, 2019, Proceedings of NAACL-HLT 2019. Association for Computational Linguistics, p. 1529–1540

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    8. Published

      A Survey on Stance Detection for Mis- and Disinformation Identification

      Hardalov, M., Arora, Arnav, Nakov, P. & Augenstein, Isabelle, 2022, Findings of the Association for Computational Linguistics: NAACL 2022 - Findings. Association for Computational Linguistics (ACL), p. 1259-1277

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    9. Published

      A strong baseline for question relevancy ranking

      Gonzalez, Ana Valeria, Augenstein, Isabelle & Søgaard, Anders, 2018, Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics, p. 4810–4815

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    10. Published

      Adapting Neural Link Predictors for Data-Efficient Complex Query Answering

      Arakelyan, Erik, Minervini, P., Daza, D., Cochez, M. & Augenstein, Isabelle, 2024, 37th Conference on Neural Information Processing Systems (NeurIPS 2023).. OpenReview.net, 13 p.

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    11. Published

      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

    12. Published

      Can Edge Probing Tests Reveal Linguistic Knowledge in QA Models?

      Ray Choudhury, S., Bhutani, N. & Augenstein, Isabelle, 2022, Proceedings of the 29th International Conference on Computational Linguistics. Association for Computational Linguistics (ACL), p. 1620–1635

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    13. Published

      Character-level Supervision for Low-resource POS Tagging

      Kann, K., Bjerva, J., Augenstein, Isabelle, Plank, B. & Søgaard, Anders, 2018, Proceedings of the Workshop on Deep Learning Approaches for Low-Resource NLP. Association for Computational Linguistics, p. 1–11

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    14. Published

      CiteWorth: Cite-Worthiness Detection for Improved Scientific Document Understanding

      Wright, Dustin & Augenstein, Isabelle, 2021, Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021. Association for Computational Linguistics, p. 1796-1807

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    15. Published

      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. 476-488

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    16. Published

      Combining Sentiment Lexica with a Multi-View Variational Autoencoder

      Hoyle, A. M., Wolf-sonkin, L., Wallach, H., Cotterell, R. & Augenstein, Isabelle, 2019, Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers). Association for Computational Linguistics, p. 635-640

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    17. Published

      Copenhagen at CoNLL–SIGMORPHON 2018: Multilingual Inflection in Context with Explicit Morphosyntactic Decoding

      Kementchedjhieva, Yova Radoslavova, Bjerva, J. & Augenstein, Isabelle, 2018, Proceedings of the CoNLL SIGMORPHON 2018 Shared Task: Universal Morphological Reinflection . Association for Computational Linguistics, p. 93–98

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    18. Published

      Counterfactually Augmented Data and Unintended Bias: The Case of Sexism and Hate Speech Detection

      Sen, I., Samory, M., Wagner, C. & 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. 4716-4726

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    19. Published

      Cross-Domain Label-Adaptive Stance Detection

      Hardalov, M., Arora, Arnav, Nakov, P. & Augenstein, Isabelle, 2021, Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics, p. 9011-9028

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    20. 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 journal › Journal article › Research › peer-review

    21. Published

      Determining the Credibility of Science Communication

      Augenstein, Isabelle, 2021, Proceedings of the Second Workshop on Scholarly Document Processing. Association for Computational Linguistics (ACL), p. 1-6 6 p.

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    22. 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 journal › Conference article › Research

    23. 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 journal › Journal article › Research › peer-review

    24. 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 journal › Journal article › Research

    25. Published

      Does typological blinding impede cross-lingual sharing?

      Bjerva, J. & Augenstein, Isabelle, 2021, EACL 2021 - 16th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference. Association for Computational Linguistics, p. 480-486

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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