Anders Søgaard

Anders Søgaard

Professor

ORCID: 0000-0001-5250-4276

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  1. Published

    Character-level Supervision for Low-resource POS Tagging

    Kann, K., Bjerva, J., Augenstein, Isabelle, Plank, B. & Søgaard, Anders, 2018, Proceedings of the Workshop on Deep Learning Approaches for Low-Resource NLP. Association for Computational Linguistics, p. 1–11

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

  2. Published

    Weakly Supervised POS Taggers Perform Poorly on Truly Low-Resource Languages

    Kann, K., Lacroix, O. & Søgaard, Anders, 2020, Proceedings of the AAAI Conference on Artificial Intelligence (AAAI 2020): [AAAI-20 Technical Tracks 5]. AAAI Press, p. 8066-8073.

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

  3. Published

    Copyright Violations and Large Language Models

    Karamolegkou, Antonia, Li, Jiaang, Zhou, L. & Søgaard, Anders, 2023, Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics (ACL), p. 7403-7412

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

  4. Published

    Mapping Brains with Language Models: A Survey

    Karamolegkou, Antonia, Abdou, M. & Søgaard, Anders, 2023, Findings of the Association for Computational Linguistics: ACL 2023. Association for Computational Linguistics (ACL), p. 9748-9762

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

  5. Published

    John praised Mary because he ? Implicit Causality Bias and Its Interaction with Explicit Cues in LMs

    Kementchedjhieva, Yova Radoslavova, Anderson, M. & Søgaard, Anders, 2021, Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021. Association for Computational Linguistics, p. 4859-4871

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

  6. Published

    Grammatical Error Correction through Round-Trip Machine Translation

    Kementchedjhieva, Yova Radoslavova & Søgaard, Anders, 2023, Findings of the Association for Computational Linguistics: EACL 2023. Association for Computational Linguistics (ACL), p. 2208-2215

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

  7. Published

    Lost in Evaluation: Misleading Benchmarks for Bilingual Dictionary Induction

    Kementchedjhieva, Yova Radoslavova, lwp876, 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, p. 3336–3341

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

  8. Published

    Generalizing Procrustes Analysis for Better Bilingual Dictionary Induction

    Kementchedjhieva, Yova Radoslavova, Ruder, S., Cotterell, R. & Søgaard, Anders, 2018, Proceedings of the 22nd Conference on Computational Natural Language Learning (CoNLL 2018). Association for Computational Linguistics, p. 211–220

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

  9. Published

    Dynamic Forecasting of Conversation Derailment

    Kementchedjhieva, Yova Radoslavova & Søgaard, Anders, 2021, Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics, p. 7915–7919

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

  10. 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

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