Isabelle Augenstein

Isabelle Augenstein

Professor

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    ORCID: 0000-0003-1562-7909

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    1. Published

      Probing Pre-Trained Language Models for Cross-Cultural Differences in Values

      Arora, Arnav, Kaffee, L. & Augenstein, Isabelle, 2023, Proceedings of the First Workshop on Cross-Cultural Considerations in NLP (C3NLP). Association for Computational Linguistics (ACL), p. 114-130

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-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 proceeding › Article in proceedings › Research › peer-review

    3. Published

      Retrieval-based Goal-Oriented Dialogue Generation

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

      Research output: Contribution to conference › Paper › Research

    4. Published

      Retrieval-based goal-directed dialogue generation

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

      Research output: Contribution to conference › Paper › Research

    5. Published

      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, p. 1-11

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    6. Published

      Same Neurons, Different Languages: Probing Morphosyntax in Multilingual Pre-trained Models

      Stanczak, Karolina Ewa, Ponti, E., Hennigen, L. T., Cotterell, R. & Augenstein, Isabelle, 2022, Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. Association for Computational Linguistics (ACL), p. 1589-1598

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    7. Published

      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, p. 426-430

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    8. Published

      Semi-Supervised Exaggeration Detection of Health Science Press Releases

      Wright, Dustin & Augenstein, Isabelle, 2021, Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics, p. 10824-10836

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    9. Published

      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, p. 5480-5494

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    10. Published

      TX-Ray: Quantifying and Explaining Model-Knowledge Transfer in (Un-)Supervised NLP

      Rethmeier, Nils, Saxena, V. K. & Augenstein, Isabelle, 2020, Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAII). Peters, J. & Sontag, D. (eds.). PMLR, p. 440-449 (Proceedings of Machine Learning Research, Vol. 124).

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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