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

    From Phonology to Syntax: Unsupervised Linguistic Typology at Different Levels with Language Embeddings

    Bjerva, Johannes & Augenstein, Isabelle, 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. 907-916 10 p.

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

  10. Published

    Tracking Typological Traits of Uralic Languages in Distributed Language Representations

    Bjerva, Johannes & Augenstein, Isabelle, 2018, Proceedings, Fourth International Workshop on Computational Linguistics for Uralic Languages. Association for Computational Linguistics, p. 78-88

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

  11. 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

  12. 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

  13. 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

  14. Published

    Retrieval-based goal-directed dialogue generation

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

    Research output: Contribution to conferencePaperResearch

  15. Published

    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, p. 4810–4815

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

  16. Published

    Retrieval-based Goal-Oriented Dialogue Generation

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

    Research output: Contribution to conferencePaperResearch

  17. Published

    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, p. 1401-1407

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

  18. Published

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

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

    Research output: Contribution to conferencePaperResearch

  19. Published

    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, p. 635-640

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

  20. Published

    Unsupervised Discovery of Gendered Language through Latent-Variable Modeling

    Hoyle, A. M., Wolf-sonkin, L., Wallach, H., Augenstein, Isabelle & Cotterell, R., 2019, Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics. Association for Computational Linguistics, p. 1706-1716

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

  21. Published

    Character-level Supervision for Low-resource POS Tagging

    Kann, K., Bjerva, Johannes, Augenstein, Isabelle, Plank, B. & Søgaard, Anders, 2018, Proceedings of the Workshop on Deep Learning Approaches for Low-Resource NLP. Association for Computational Linguistics, p. 1–11

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

  22. Published

    Copenhagen at CoNLL–SIGMORPHON 2018: Multilingual Inflection in Context with Explicit Morphosyntactic Decoding

    Kementchedjhieva, Yova Radoslavova, Bjerva, Johannes & Augenstein, Isabelle, 2018, Proceedings of the CoNLL SIGMORPHON 2018 Shared Task: Universal Morphological Reinflection . Association for Computational Linguistics, p. 93–98

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

  23. Published

    Parameter sharing between dependency parsers for related languages

    Lhoneux, M. D., Bjerva, Johannes, Augenstein, Isabelle & Søgaard, Anders, 2018, Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing . Association for Computational Linguistics

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

  24. Published

    Learning what to share between loosely related tasks

    Ruder, S., Bingel, J., Augenstein, Isabelle & Søgaard, Anders, 23 May 2017, In : arXiv.

    Research output: Contribution to journalJournal articleResearch

  25. Published

    Latent Multi-Task Architecture Learning

    Ruder, S., Bingel, J., Augenstein, Isabelle & Søgaard, Anders, 2019, Proceedings of 33nd AAAI Conference on Artificial Intelligence, AAAI 2019. AAAI Press, p. 4822-4829

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

  26. Published

    Nightmare at test time: How punctuation prevents parsers from generalizing

    Søgaard, Anders, Lhoneux, M. D. & Augenstein, Isabelle, 2018, Proceedings of the 2018 EMNLP Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP . Association for Computational Linguistics, p. 25–29

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

  27. Published

    Jack the Reader – A Machine Reading Framework

    Weissenborn, D., Minervini, P., Dettmers, T., Augenstein, Isabelle, Welbl, J., Rocktäschel, T., Bošnjak, M., Mitchell, J., Demeester, T., Stenetorp, P. & Riedel, S., 2018, Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics-System Demonstrations. Association for Computational Linguistics, p. 25–30

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

  28. Published

    Discourse-aware rumour stance classification in social media using sequential classifiers

    Zubiaga, A., Kochkina, E., Liakata, M., Procter, R., Lukasik, M., Bontcheva, K., Cohn, T. & Augenstein, Isabelle, Mar 2018, In : Information Processing & Management. 54, 2, p. 273-290

    Research output: Contribution to journalJournal articleResearchpeer-review

ID: 180388519