Isabelle Augenstein

Isabelle Augenstein

Professor

Medlem af:

    ORCID: 0000-0003-1562-7909

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    1. 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

    2. Udgivet

      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, I: Information Fusion. 79, s. 263-278 16 s.

      Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

    3. Udgivet

      Longitudinal Citation Prediction using Temporal Graph Neural Networks

      Holm, Andreas Nugaard, Plank, B., Wright, Dustin & Augenstein, Isabelle, 2022, Proceedings of the Workshop on Scientific Document Understanding co-located with 36th AAAI Conference on Artificial Inteligence (AAAI 2022). CEUR, 8 s. (CEUR Workshop Proceedings).

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

    4. 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

    5. Udgivet

      Mapping (Dis-)Information Flow about the MH17 Plane Crash

      Hartmann, M., Golovchenko, Yevgeniy & Augenstein, Isabelle, 2019, s. 45-55.

      Publikation: Konferencebidrag › Paper › Forskning

    6. Udgivet

      Issue Framing in Online Discussion Fora

      Hartmann, M., Jansen, T., Augenstein, Isabelle & Søgaard, Anders, 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. 1401-1407

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

    7. Udgivet

      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), s. 1259-1277

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

    8. 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

    9. Udgivet

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

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

      Publikation: Bidrag til tidsskrift › Konferenceartikel › Forskning › fagfællebedømt

    10. Udgivet

      Retrieval-based goal-directed dialogue generation

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

      Publikation: Konferencebidrag › Paper › Forskning

    11. Udgivet

      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, s. 4810–4815

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

    12. Udgivet

      Retrieval-based Goal-Oriented Dialogue Generation

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

      Publikation: Konferencebidrag › Paper › Forskning

    13. Udgivet

      Invisible Women in Digital Diplomacy: A Multidimensional Framework for Online Gender Bias Against Women Ambassadors Worldwide

      Golovchenko, Yevgeniy, Stanczak, Karolina Ewa, Adler-Nissen, Rebecca, Wangen, P. & Augenstein, Isabelle, 2023, arxiv.org, 59 s.

      Publikation: Working paper › Preprint › Forskning

    14. 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

    15. Udgivet

      Joint Emotion Label Space Modelling for Affect Lexica

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

      Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning

    16. Udgivet

      Joint emotion label space modeling for affect lexica

      De Bruyne, L., Atanasova, Pepa Kostadinova & Augenstein, Isabelle, jan. 2022, I: Computer Speech and Language. 71, 20 s., 101257.

      Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

    17. Udgivet

      Explaining Interactions Between Text Spans

      Choudhury, S., Atanasova, Pepa Kostadinova & Augenstein, Isabelle, 2023, Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics (ACL), s. 12709-12730

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

    18. 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

    19. 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

    20. Udgivet

      Measuring Intersectional Biases in Historical Documents

      Borenstein, Nadav, Stanczak, Karolina Ewa, Rolskov, T., da Silva Perez, N., Klein Kafer, Natacha & Augenstein, Isabelle, 2023, Findings of the 61st Annual Meeting of the Association for Computational Linguistics, ACL 2023. Association for Computational Linguistics (ACL), Bind ACL 2023. s. 2711–2730

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

    21. 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

    22. 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

    23. 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

    24. 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

    25. 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

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    ID: 180388519