Isabelle Augenstein

Isabelle Augenstein

Associate Professor


Publication year:
  1. 2020
  2. 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

  3. Published

    Retrieval-based Goal-Oriented Dialogue Generation

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

    Research output: Contribution to conferencePaperResearch

  4. 2019
  5. 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

  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

    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

  9. Published

    Transductive Auxiliary Task Self-Training for Neural Multi-Task Models

    Bjerva, Johannes, Kann, K. & Augenstein, Isabelle, 2019, Proceedings of the 2nd Workshop on Deep Learning Approaches for Low-Resource NLP (DeepLo). Association for Computational Linguistics, p. 253–258

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

  10. 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

  11. 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

  12. Published

    Retrieval-based goal-directed dialogue generation

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

    Research output: Contribution to conferencePaperResearch

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