Anders Søgaard

Anders Søgaard

Professor

ORCID: 0000-0001-5250-4276

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  1. Published

    Using reading behavior to predict grammatical functions

    Barrett, M. J. & Søgaard, Anders, 2015, Proceedings of the Sixth Workshop on Cognitive Aspects of Computational Language Learning: CogACLL-2015). Lisbon, Portugal: Association for Computational Linguistics, p. 1-5 5 p.

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

  2. Published

    Sequence classification with human attention

    Barrett, M. J., Bingel, J., Hollenstein, N., Rei, M. & Søgaard, Anders, 2018, Proceedings of the 22nd Conference on Computational Natural Language Learning (CoNLL 2018). Korhonen, A. & Titov, I. (eds.). Association for Computational Linguistics, p. 302–312

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

  3. Published

    Clustering Monolingual Vocabularies to Improve Cross-Lingual Generalization

    Bassani, R., Søgaard, Anders & Deoskar, T., 2021, Proceedings of the 1st Workshop on Multilingual Representation Learning. Association for Computational Linguistics, p. 32–40

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

  4. 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

  5. Published

    Extracting token-level signals of syntactic processing from fMRI - with an application to PoS induction

    Bingel, J., Barrett, M. J. & Søgaard, Anders, 2016.

    Research output: Contribution to conference › Paper › Research › peer-review

  6. Published

    Lexii: A tool for adaptive, personalized text simplification

    Bingel, J., Paetzold, G. H. & Søgaard, Anders, 2018, Proceedings of the 27th International Conference on Computational Linguistics. Association for Computational Linguistics, p. 245-258

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

  7. 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

  8. Published

    Text Simplification as Tree Labeling

    Bingel, J. & Søgaard, Anders, 2016, The 54th Annual Meeting of the Association for Computational Linguistics: Proceedings of the Conference. Berlin: Association for Computational Linguistics, Vol. 2. p. 337-343 7 p.

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

  9. Published

    Identifying beneficial task relations for multi-task learning in deep neural networks

    Bingel, J. & Søgaard, Anders, 2017, Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: volume 2, short papers. Association for Computational Linguistics, Vol. 2. p. 164-169 6 p.

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

  10. Published

    Improving historical spelling normalization with bi-directional LSTMs and multi-task learning

    Bollman, M. & Søgaard, Anders, 2016, The 26th International Conference on Computational Linguistics: proceedings of COLING 2016: technical Papers. p. 131-139 9 p.

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

  11. Published

    Multi-task learning for historical text normalization: Size matters

    Bollmann, M. M., Søgaard, Anders & Bingel, J., 2018, Proceedings of the Workshop on Deep Learning Approaches for Low-Resource NLP. Association for Computational Linguistics, p. 19–24

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

  12. Published

    Learning attention for historical text normalization by learning to pronounce

    Bollmann, M., Bingel, J. & Søgaard, Anders, 1 Jan 2017, ACL 2017 - 55th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference (Long Papers). Association for Computational Linguistics, p. 332-344 13 p.

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

  13. Published

    Moses and the Character-Based Random Babbling Baseline: CoAStaL at AmericasNLP 2021 Shared Task

    Bollmann, M., Aralikatte, R., Bello, H. R. M., Hershcovich, Daniel, de Lhoneux, M. & Søgaard, Anders, 2021, Proceedings of the 1st Workshop on Natural Language Processing for Indigenous Languages of the Americas, AmericasNLP 2021. Mager, M., Oncevay, A., Rios, A., Ruiz, I. V. M., Palmer, A., Neubig, G. & Kann, K. (eds.). Association for Computational Linguistics, p. 248-254

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

  14. 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

  15. Published

    Error analysis and the role of morphology

    Bollmann, M. & Søgaard, Anders, 2021, EACL 2021 - 16th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference. Association for Computational Linguistics, p. 1887-1900

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

  16. Published

    Do end-to-end speech recognition models care about context?

    Borgholt, L., Havtorn, J. D., Agic, Ž., Søgaard, Anders, Maaløe, L. & Igel, Christian, 2020, Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH. International Speech Communication Association (ISCA), Vol. 2020-October. p. 4352-4356

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

  17. Published

    How Conservative are Language Models? Adapting to the Introduction of Gender-Neutral Pronouns

    Brandl, Stephanie, Cui, Ruixiang & 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. 3624-3630

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

  18. Published

    Evaluating Deep Taylor Decomposition for Reliability Assessment in the Wild

    Brandl, Stephanie, Hershcovich, Daniel & Søgaard, Anders, 2022, In: Proceedings of the International AAAI Conference on Web and Social Media. 16, p. 1368-1372

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

  19. Published

    Cross-lingual and cross-domain discourse segmentation of entire documents

    Braud, C., Lacroix, O. & Søgaard, Anders, 1 Jan 2017, Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics: Short papers. Association for Computational Linguistics, Vol. 2. p. 237-243 7 p.

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

  20. Published

    Does syntax help discourse segmentation? Not so much

    Braud, C. E., Lacroix, O. & Søgaard, Anders, 2017, Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics, p. 2432–2442 11 p.

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

  21. Published

    Cross-lingual RST discourse parsing

    Braud, C. E., Coavoux, M. & Søgaard, Anders, 2017, Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: long papers. Association for Computational Linguistics, Vol. 1. p. 292-304 13 p.

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

  22. Published

    Is writing style predictive of scientific fraud?

    Braud, C. E. & Søgaard, Anders, 2017, Proceedings of the Workshop on Stylistic VariationAssociation for Computational Linguistics. Association for Computational Linguistics, p. 37-42 6 p.

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

  23. Published

    Multi-view and multi-task training of RST discourse parsers

    Braud, C. E., Plank, B. & Søgaard, Anders, 2016, The 26th International Conference on Computational Linguistics: proceedings of COLING 2016: technical Papers. p. 1903-1913 11 p.

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

  24. Published

    On the Independence of Association Bias and Empirical Fairness in Language Models

    Cabello Piqueras, Laura, Jørgensen, A. K. & Søgaard, Anders, 2023, Proceedings of the 6th ACM Conference on Fairness, Accountability, and Transparency, FAccT 2023. Association for Computing Machinery, Inc., p. 370-378

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

  25. Published

    Are Pretrained Multilingual Models Equally Fair across Languages?

    Cabello Piqueras, Laura & Søgaard, Anders, 2022, Proceedings of the 29th International Conference on Computational Linguistics. International Committee on Computational Linguistics, p. 3597–3605

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

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