Anders Søgaard

Anders Søgaard

Professor


  1. 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 proceedingArticle in proceedingsResearchpeer-review

  2. 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 proceedingArticle in proceedingsResearchpeer-review

  3. 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 proceedingArticle in proceedingsResearchpeer-review

  4. 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 proceedingArticle in proceedingsResearchpeer-review

  5. 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 proceedingArticle in proceedingsResearchpeer-review

  6. 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 proceedingArticle in proceedingsResearchpeer-review

  7. 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 proceedingArticle in proceedingsResearchpeer-review

  8. 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 proceedingArticle in proceedingsResearchpeer-review

  9. 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 proceedingArticle in proceedingsResearchpeer-review

  10. 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 proceedingArticle in proceedingsResearchpeer-review

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