Anders Søgaard
Professor
Natural Language Processing
Universitetsparken 1
2100 København Ø
Department of Communication
Karen Blixens Plads 8
2300 København S
- Published
What’s in a p-value in NLP?
Søgaard, Anders, Johannsen, A. T., Plank, B., Hovy, D. & Martinez Alonso, H., 2014, Eighteenth Conference on Computational Natural Language Learning: CoNLL-2014. Baltimore, Maryland, USA: Association for Computational Linguistics, p. 1-10Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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What does the Failure to Reason with “Respectively” in Zero/Few-Shot Settings Tell Us about Language Models?
Cui, Ruixiang, Lee, S., Hershcovich, Daniel & 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. 8786-8800Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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What a Creole Wants, What a Creole Needs
Lent, H., Ogueji, K., de Lhoneux, M., Ahia, O. & Søgaard, Anders, 2022, Proceedings of the Thirteenth Language Resources and Evaluation Conference. Calzolari, N., Bechet, F., Blache, P., Choukri, K., Cieri, C., Declerck, T., Goggi, S., Isahara, H., Maegaard, B., Mariani, J., Mazo, H., Odijk, J. & Piperidis, S. (eds.). European Language Resources Association (ELRA), p. 6439-6449Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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What I think when I think about treebanks
Søgaard, Anders, 2018, Proceedings of the 16th International Workshop on Treebanks and Linguistic Theories (TLT16),. Association for Computational Linguistics, p. 161-166Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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What Do You Mean ‘Why?’: Resolving Sluices in Conversation
Hansen, V. P. B. & Søgaard, Anders, 2020, Proceedings of the AAAI Conference on Artificial Intelligence (AAAI 2020): [AAAI-20 Technical Tracks 5]. AAAI Press, p. 7887-7894.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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WebQAmGaze: A Multilingual Webcam Eye-Tracking-While-Reading Dataset
Nunes Ribeiro, T. F., Brandl, Stephanie, Søgaard, Anders & Hollenstein, N., 2023, arXiv.org, 14 p.Research output: Working paper › Preprint › Research
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Weakly supervised part-of-speech tagging using eye-tracking data
Barrett, M. J., Bingel, J., Keller, F. & Søgaard, Anders, 2016, The 54th Annual Meeting of the Association for Computational Linguistics: Proceedings of the Conference. Berlin: Association for Computational Linguistics, Vol. 2. p. 579-584 6 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Weakly Supervised POS Taggers Perform Poorly on Truly Low-Resource Languages
Kann, K., Lacroix, O. & Søgaard, Anders, 2020, Proceedings of the AAAI Conference on Artificial Intelligence (AAAI 2020): [AAAI-20 Technical Tracks 5]. AAAI Press, p. 8066-8073.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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We Need to Talk About Random Splits
Søgaard, Anders, Ebert, S. E., Bastings, J. & Filippova, K., 2021, Proceeding of the 2021 Conference of the European Chapter of the Association for Computational Linguistics (EACL). Association for Computational Linguistics, p. 1823–1832Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Vine parsing augmented Italian treebanks
Søgaard, Anders & Rishøj, C., 2009, Poster and Workshop Proceedings of the 11th Conference of the Italian Association for Artificial Intelligence. Italian Association for Artificial IntelligenceResearch output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research
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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283
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Reading metrics for estimating task efficiency with MT output
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Published