Anders Søgaard
Professor
Natural Language Processing
Universitetsparken 1
2100 København Ø
Department of Communication
Karen Blixens Plads 8
2300 København S
- 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
- 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. 19–24Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- 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
- 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. 248-254Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- 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. 1887-1900Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- 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. 104-114Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- 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. 4352-4356Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- 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. 3624-3630Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- 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
- 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
ID: 13266
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Multilingual projection for parsing truly low resource languages
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Multi-task Learning of Pairwise Sequence Classification Tasks Over Disparate Label Spaces
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284
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Reading metrics for estimating task efficiency with MT output
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