Anders Søgaard
Professor
Natural Language Processing
Universitetsparken 1
2100 København Ø
Department of Communication
Karen Blixens Plads 8
2300 København S
- Published
Spikes as Regularizers
Søgaard, Anders, 2017, ESANN 2017 - Proceedings: 25th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. ESANN , p. 371-376 6 p. (arXiv.org).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Some Languages Seem Easier to Parse Because Their Treebanks Leak
Søgaard, Anders, 2020, Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP). Association for Computational Linguistics, p. 2765–2770Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Sociolectal Analysis of Pretrained Language Models
Zhang, S., Zhang, X., Zhang, W. & Søgaard, Anders, 2021, Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics, p. 4581–4588Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Sluice resolution without hand-crafted features over brittle syntax trees
Rønning, Ola, Hardt, D. & Søgaard, Anders, 2018, Proceedings, 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies : (Long Papers). Association for Computational Linguistics, Vol. 1. p. 236–241Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Simple task-specific bilingual word embeddings
Gouws, S. & Søgaard, Anders, 2015, Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: NAACL 2015. Association for Computational Linguistics, p. 1386-1390 5 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Simple semi-supervised training of part-of-speech taggers
Søgaard, Anders, 2010, Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics. Association for Computational LinguisticsResearch output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Simple readable sub-sentences
Klerke, S. & Søgaard, Anders, 2013, The 51st Annual Meeting of the Association for Computational Linguistics (ACL), Student Research Workshop. Association for Computational Linguistics, p. 142-149Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Should We Ban English NLP for a Year?
Søgaard, Anders, 2022, Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics, p. 5254-5260Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Shortcomings of Interpretability Taxonomies for Deep Neural Networks
Søgaard, Anders, 2022, In: CEUR Workshop Proceedings. 3318Research output: Contribution to journal › Conference article › Research › peer-review
- Published
Shared Task System Description: Frustratingly Hard Compositionality Prediction
Johannsen, A. T., Martinez Alonso, H., Rishøj, C. & Søgaard, Anders, Jun 2011, Proceedings of the Workshop on Distributional Semantics and Compositionality (DiSCo'2011). Portland, Oregon: Association for Computational Linguistics, p. 29-32 4 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
ID: 13266
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469
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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
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