Anders Søgaard

Anders Søgaard

Professor

ORCID: 0000-0001-5250-4276

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  1. Udgivet

    Higher-order Comparisons of Sentence Encoder Representations

    vqc439, V., Kulmizev, A., Hill, F., Low, D. M. L. & 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. Association for Computational Linguistics, s. 5838–5845

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

  2. Udgivet

    Multilingual Negation Scope Resolution for Clinical Text

    lwp876, L. & Søgaard, Anders, 2022, Proceedings of the 12th International Workshop on Health Text Mining and Information Analysis. Association for Computational Linguistics, s. 7–18

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

  3. Udgivet

    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. (red.). Association for Computational Linguistics (ACL), s. 578-587

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

  4. Udgivet

    Sociolectal Analysis of Pretrained Language Models

    Zhang, S., Zhang, X., Zhang, W. & Søgaard, Anders, 2021, Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics, s. 4581–4588

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

  5. Udgivet

    Learning finite state word representations for unsupervised Twitter adaptation of POS taggers

    Wulff, J. & Søgaard, Anders, 2015, ACL 2015 Workshop on Noisy User-generated Text (W-NUT). Red Hook, NY: Association for Computational Linguistics

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

  6. Udgivet

    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, s. 3178–3192

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

  7. Udgivet

    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, s. 9114-9121.

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

  8. Udgivet

    Better, Faster, Stronger Sequence Tagging Constituent Parsers

    Vilares, D., Abdou, M. & 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, s. 3372-3383

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

  9. Udgivet

    A systematic comparison of methods for low-resource dependency parsing on genuinely low-resource languages

    Vania, C., Kementchedjhieva, Yova Radoslavova, Søgaard, Anders & Lopez, A., 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, s. 1105-1116

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

  10. Udgivet

    Spurious Correlations in Cross-Topic Argument Mining

    Jakobsen, Terne Sasha Thorn, Barrett, M. & Søgaard, Anders, 2021, Proceedings of *SEM 2021: The Tenth Joint Conference on Lexical and Computational Semantics. Association for Computational Linguistics, s. 263-277

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

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