Anders Søgaard

Anders Søgaard

Professor

ORCID: 0000-0001-5250-4276

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  1. Published

    Predicting Concrete and Abstract Entities in Modern Poetry

    Caccavale, F. & Søgaard, Anders, 2019, Proceedings of 33nd AAAI Conference on Artificial Intelligence, AAAI 2019. AAAI Press, p. 858-864

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

  2. Published

    FairLex: A Multilingual Benchmark for Evaluating Fairness in Legal Text Processing

    Chalkidis, Ilias, Pasini, T., Zhang, S., Tomada, L., Schwemer, Sebastian Felix & Søgaard, Anders, 2022, In: Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (ACL 2022). 1, p. 4389-4406 18 p.

    Research output: Contribution to journal › Conference article › Research › peer-review

  3. Published

    LeXFiles and LegalLAMA: Facilitating English Multinational Legal Language Model Development

    Chalkidis, Ilias, Garneau, Nicolas, Søgaard, Anders, Goantă, C. & Katz, D. M., 2023, Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). Association for Computational Linguistics (ACL), p. 15513-15535 23 p.

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

  4. Published

    Improved Multi-label Classification under Temporal Concept Drift: Rethinking Group-Robust Algorithms in a Label-Wise Setting

    Chalkidis, Ilias & Søgaard, Anders, 2022, FINDINGS OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL 2022). ASSOC COMPUTATIONAL LINGUISTICS-ACL, p. 2441-2454 14 p.

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

  5. Published

    The Effect of Round-Trip Translation on Fairness in Sentiment Analysis

    Christiansen, J. G., Gammelgaard, M. L. & Søgaard, Anders, 2021, Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics, p. 4423–4428

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

  6. Published

    What does the Failure to Reason with “Respectively” in Zero/Few-Shot Settings Tell Us about Language Models?

    Cui, Ruixiang, Lee, S., Hershcovich, Daniel & Søgaard, Anders, 2023, Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics: Long Papers. Association for Computational Linguistics (ACL), Vol. 1. p. 8786-8800

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

  7. Published

    Generalized Quantifiers as a Source of Error in Multilingual NLU Benchmarks

    Cui, Ruixiang, Hershcovich, Daniel & Søgaard, Anders, 2022, NAACL 2022 - 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference. Association for Computational Linguistics (ACL), p. 4875-4893

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

  8. Published

    Do Transformer Models Show Similar Attention Patterns to Task-Specific Human Gaze?

    Eberle, O., Brandl, Stephanie, Pilot, J. & 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. 4295-4309 (Proceedings of the Annual Meeting of the Association for Computational Linguistics, Vol. 1).

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

  9. Published

    Down-stream effects of tree-to-dependency conversions

    Elming, J., Johannsen, A. T., Klerke, S., Lapponi, E., Martinez Alonso, H. & Søgaard, Anders, 2013, The 2013 Conference of the North American Chapter of the Association for Computational Linguistics. Association for Computational Linguistics, Vol. 1. p. 617-626

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

  10. Published

    Using millions of emoji occurrences to learn any-domain representations for detecting sentiment, emotion and sarcasm

    Felbo, B., Mislove, A., Søgaard, Anders, Rahwan, I. & Lehmann, S., 2017, Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics, p. 615–1625 11 p.

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

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