Isabelle Augenstein

Isabelle Augenstein

Professor

Member of:


    1. 2019
    2. Published

      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, p. 265-274

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

    3. Published

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

      Augenstein, Isabelle, Lioma, Christina, Wang, D., Chaves Lima, L., Hansen, C., Hansen, C. & 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. 4684-4697

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

    4. Published

      A Probabilistic Generative Model of Linguistic Typology

      Bjerva, J., 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

    5. Published

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

      Bjerva, J., 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

    6. Published

      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, p. 3924–3930

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

    7. 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

    8. 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

    9. 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

    10. 2018
    11. 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

    12. 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

    ID: 180388519