Isabelle Augenstein

Isabelle Augenstein

Professor

Medlem af:

    ORCID: 0000-0003-1562-7909

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    1. Udgivet

      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 s.

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

    2. Udgivet

      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), s. 1620–1635

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

    3. Udgivet

      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, s. 1–11

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

    4. Udgivet

      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, s. 1796-1807

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

    5. Udgivet

      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, s. 476-488

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

    6. Udgivet

      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, s. 635-640

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

    7. Udgivet

      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, s. 93–98

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

    8. Udgivet

      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), s. 4716-4726

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

    9. Udgivet

      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, s. 9011-9028

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

    10. 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, I: ACM Computing Surveys. 56, 3, s. 1-17 72.

      Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

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