Anders Søgaard

Anders Søgaard

Professor

ORCID: 0000-0001-5250-4276

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  1. Published

    Zipfian corruptions for robust POS tagging

    Søgaard, Anders, 2013, Proceedings of the 2013 Conference of the North American Chapter of the Association for Computational Linguistics: HLT-NAACL. Association for Computational Linguistics, p. 668-672

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

  2. Published

    Zero-shot Sequence Labeling: Transferring Knowledge from Sentences to Tokens

    Rei, M. & Søgaard, Anders, 2018, Proceedings, 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies : (Long Ppaers). Association for Computational Linguistics, Vol. 1. p. 293–302

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

  3. Published

    Zero-Shot Dependency Parsing with Worst-Case Aware Automated Curriculum Learning

    de Lhoneux, M., Zhang, S. & Søgaard, Anders, 2022, ACL 2022 - 60th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference (Short Papers). Muresan, S., Nakov, P. & Villavicencio, A. (eds.). Association for Computational Linguistics (ACL), p. 578-587

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

  4. 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

  5. Published

    Word Order Does Matter: (And Shuffled Language Models Know It)

    Abdou, M., Ravishankar, V., Kulmizev, A. & Søgaard, Anders, 2022, ACL 2022 - 60th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference (Long Papers). Muresan, S., Nakov, P. & Villavicencio, A. (eds.). Association for Computational Linguistics (ACL), p. 6907-6919

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

  6. Published

    With blinkers on: Robust prediction of eye movements across readers

    Matthies, F. & Søgaard, Anders, 2013, EMNLP 2013. Association for Computational Linguistics, p. 803-807

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

  7. Published

    WikiBank: Using wikidata to improve multilingual frame-semantic parsing

    Sas, C., Beloucif, M. & Søgaard, Anders, 2020, LREC 2020 - 12th International Conference on Language Resources and Evaluation, Conference Proceedings. Calzolari, N., Bechet, F., Blache, P., Choukri, K., Cieri, C., Declerck, T., Goggi, S., Isahara, H., Maegaard, B., Mariani, J., Mazo, H., Moreno, A., Odijk, J. & Piperidis, S. (eds.). European Language Resources Association (ELRA), p. 4183-4189

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

  8. Published

    Why is unsupervised alignment of English embeddings from different algorithms so hard?

    Hartmann, M., Kementchedjhieva, Yova Radoslavova & Søgaard, Anders, 2018, Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics, p. 582–586

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

  9. Published

    When does deep multi-task learning work for loosely related document classification tasks?

    Kerinec, E., Søgaard, Anders & Braud, C., 2018, Proceedings of the 2018 EMNLP Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP. Association for Computational Linguistics, p. 1-8

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

  10. Published

    When POS datasets don’t add up: Combatting sample bias

    Hovy, D., Plank, B. & Søgaard, Anders, 2014, Proceedings of the 9th International Conference on Language Resources and Evaluation : LREC2014. Reykjavik, Iceland: European Language Resources Association

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

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