Anders Søgaard
Professor
Natural Language Processing
Universitetsparken 1
2100 København Ø
Department of Communication
Karen Blixens Plads 8
2300 København S
- 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
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. 1368-1372Research output: Contribution to journal › Conference article › 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
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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
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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
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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
- 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
- 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. 370-378Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- 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. 3597–3605Research 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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342
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Multi-task Learning of Pairwise Sequence Classification Tasks Over Disparate Label Spaces
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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283
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Reading metrics for estimating task efficiency with MT output
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Published