Isabelle Augenstein

Isabelle Augenstein

Professor

Medlem af:

    ORCID: 0000-0003-1562-7909

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    1. 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

    2. 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

    3. 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

    4. 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

    5. 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

    6. 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

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