Anders Søgaard
Professor
Natural Language Processing
Universitetsparken 1
2100 København Ø
Department of Communication
Karen Blixens Plads 8
2300 København S
- Published
An empirical study of differences between conversion schemes and annotation guidelines
Søgaard, Anders, 2013, DepLing 2013: Proceedings of the Second International Conference on Dependency Linguistics 2013. Prag: Association for Computational Linguistics, p. 298-306 9 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
An empirical study of non-lexical extensions to delexicalized transfer
Søgaard, Anders & Wulff, J., 2012, Proceedings of The 24th International Conference on Computational Linguistics (COLING). Association for Computational LinguisticsResearch output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Analogy Training Multilingual Encoderss
Garneau, N., lwp876, L., Sandholm, A., Ruder, S., Vulić, I. & Søgaard, Anders, 2021, Proceedings of the AAAI-21 International Joint Conference on Artificial Intelligence. AAAI Press, p. 12884-12892. 10 p. (Proceedings of the International Joint Conference on Artificial Intelligence; No. 14, Vol. 35).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Ancestor-to-Creole Transfer is Not a Walk in the Park
Lent, H., Bugliarello, Emanuele & Søgaard, Anders, 2022, Proceedings of the Third Workshop on Insights from Negative Results in NLP. Association for Computational Linguistics (ACL), p. 68-74Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Any-language frame semantic parsing
Johannsen, A. T., Martinez Alonso, H. & Søgaard, Anders, 2015, Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing. Lisbon, Portugal: Association for Computational Linguistics, p. 2062-2066 5 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Are All Good Word Vector Spaces Isomorphic?
Vulic, I., Ruder, S. & Søgaard, Anders, 2020, Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP). Association for Computational Linguistics, p. 3178–3192Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Are Multilingual Sentiment Models Equally Right for the Right Reasons?
Jørgensen, R. K., Caccavale, F., Igel, Christian & Søgaard, Anders, 2022, Proceedings of the Fifth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP. Association for Computational Linguistics (ACL), p. 131–141Research 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
- Published
Attention can reflect syntactic structure (if you let it)
Ravishankar, V., Kulmizev, A., Abdou, M., Søgaard, Anders & Nivre, J., 2021, EACL 2021 - 16th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference. Association for Computational Linguistics, p. 3031-3045Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Being Right for Whose Right Reasons?
Jakobsen, Terne Sasha Thorn, Cabello Piqueras, Laura & Søgaard, Anders, 2023, Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics : Long Papers. Association for Computational Linguistics (ACL), Vol. 1. p. 1033-1054Research 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
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
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