Isabelle Augenstein

Isabelle Augenstein

Associate Professor


Publication year:
  1. Published

    X-WikiRE: A Large, Multilingual Resource for Relation Extraction as Machine Comprehension

    vqc439, vqc439, Sas, Cezar Angelo, Aralikatte, Rahul Rajendra, Augenstein, Isabelle & Søgaard, Anders, 2019, Proceedings of the 2nd Workshop on Deep Learning Approaches for Low-Resource NLP (DeepLo 2019). Association for Computational Linguistics, p. 265-274

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  2. Published

    Proceedings of The Third Workshop on Representation Learning for NLP

    Augenstein, Isabelle (ed.), Cao, K. (ed.), He, H. (ed.), Hill, F. (ed.), Gella, S. (ed.), Kiros, J. (ed.), Mei, H. (ed.) & Misra , D., 2018, Proceedings of the Third Workshop: Representation Learning for NLP. Association for Computational Linguistics, 224 p.

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  3. Published

    Multi-task Learning of Pairwise Sequence Classification Tasks Over Disparate Label Spaces

    Augenstein, Isabelle, Ruder, S. & Søgaard, Anders, 2018, Proceedings, 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies : (Long Papers). Association for Computational Linguistics, Vol. 1. p. 1896–1906 11 p.

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  4. Published

    Multi-Task Learning of Keyphrase Boundary Classification

    Augenstein, Isabelle & Søgaard, Anders, 2017, Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics : (Short Papers). Barzilay, R. & Kan, M-Y. (eds.). Association for Computational Linguistics, Vol. 2. p. 341-346 6 p.

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  5. Published

    Proceedings of the 4th Workshop on Representation Learning for NLP (RepL4NLP-2019)

    Augenstein, Isabelle (ed.), Gella, S. (ed.), Ruder, S. (ed.), Kann, K. (ed.), Can, B. (ed.), Conneau, A. (ed.), Welbl, J. (ed.), Ren, X. (ed.) & Rei, M. (ed.), 2020, Association for Computational Linguistics.

    Research output: Book/ReportBookResearchpeer-review

  6. Published

    MultiFC: A Real-World Multi-Domain Dataset for Evidence-Based Fact Checking of Claims

    Augenstein, Isabelle, Lioma, Christina, Wang, Dongsheng, Chaves Lima, Lucas, Hansen, Casper, Hansen, Christian & Simonsen, Jakob Grue, 2019, Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP). Association for Computational Linguistics, p. 4684-4696

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  7. Published

    Domain Transfer in Dialogue Systems without Turn-Level Supervision

    Bingel, J., Hansen, Victor Petrén Bach, Gonzalez, Ana Valeria, Budzianowski, P., Augenstein, Isabelle & Søgaard, Anders, 2019. 12 p.

    Research output: Contribution to conferencePaperResearch

  8. Published

    Uncovering Probabilistic Implications in Typological Knowledge Bases

    Bjerva, Johannes, Kementchedjhieva, Yova Radoslavova, Cotterell, R. & Augenstein, Isabelle, 2019, Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics. Association for Computational Linguistics, p. 3924–3930

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  9. Published

    A Probabilistic Generative Model of Linguistic Typology

    Bjerva, Johannes, 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 proceedingArticle in proceedingsResearchpeer-review

  10. Published

    What do language representations really represent?

    Bjerva, Johannes, 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 articleResearchpeer-review

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