Anders Søgaard

Anders Søgaard

Professor

ORCID: 0000-0001-5250-4276

Publication year:
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91 - 100 out of 300Page size: 10
  1. 2020
  2. Published

    Neural Speed Reading Audited

    Søgaard, Anders, 2020, Findings of the Association for Computational Linguistics: EMNLP 2020. Association for Computational Linguistics, p. 148–153

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

  3. Published

    Some Languages Seem Easier to Parse Because Their Treebanks Leak

    Søgaard, Anders, 2020, Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP). Association for Computational Linguistics, p. 2765–2770

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

  4. Published

    Parsing as pretraining

    Vilares, D., Strzyz, M., Søgaard, Anders & Gómez-Rodrıguez, C., 2020, Proceedings of the AAAI Conference on Artificial Intelligence (AAAI 2020). AAAI Press, p. 9114-9121.

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

  5. Published

    Are All Good Word Vector Spaces Isomorphic?

    Vulic, I., Ruder, S. & Søgaard, Anders, 2020, Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP). Association for Computational Linguistics, p. 3178–3192

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

  6. 2019
  7. 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 proceeding › Article in proceedings › Research › peer-review

  8. Published

    Rewarding Coreference Resolvers for Being Consistent with World Knowledge

    Aralikatte, R., Lent, H., Gonzalez, Ana Valeria, Hershcovich, Daniel, Qiu, C., Sandholm, A., Ringaard, M. & Søgaard, Anders, 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. 1229-1235

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

  9. Published

    Adversarial Removal of Demographic Attributes Revisited

    Barrett, M., Kementchedjhieva, Yova Radoslavova, Elazar, Y., Elliott, Desmond & Søgaard, Anders, 1 Nov 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. 6329-6334 6 p.

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

  10. Published

    Naive regularizers for low-resource neural machine translation

    Beloucif, M., Gonzalez, Ana Valeria, Bollmann, M. & Søgaard, Anders, 2019, International Conference on Recent Advances in Natural Language Processing in a Deep Learning World, RANLP 2019 - Proceedings. Angelova, G., Mitkov, R., Nikolova, I., Temnikova, I. & Temnikova, I. (eds.). Incoma Ltd, p. 102-111 10 p.

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

  11. Published

    Domain Transfer in Dialogue Systems without Turn-Level Supervision

    Bingel, J., Hansen, V. P. B., Gonzalez, Ana Valeria, Budzianowski, P., Augenstein, Isabelle & Søgaard, Anders, 2019. 12 p.

    Research output: Contribution to conference › Paper › Research

  12. Published

    Few-Shot and Zero-Shot Learning for Historical Text Normalization

    Bollmann, M., Korchagina, N. & Søgaard, Anders, 2019, Proceedings of the 2nd Workshop on Deep Learning Approaches for Low-Resource NLP (DeepLo 2019). Association for Computational Linguistics, p. 104-114

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

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