Anders Søgaard
Professor
Natural Language Processing
Universitetsparken 1
2100 København Ø
Institut for Kommunikation
Karen Blixens Plads 8
2300 København S
- Udgivet
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, s. 7887-7894.Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
Leaming LanguageJndepondent Roprcsentations of Vorbe snd AdjcctivEs from Multimodal Retricvsl
Hansen, V. P. B. & Søgaard, Anders, 2018, Proceedings of the 14th lnternatlonal Conference on Signal lmage Technology & lnternet Based Systems: SITIS 2018. IEEE, s. 427-434Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
Is the Lottery Fair? Evaluating Winning Tickets Across Demographics
Hansen, V. P. B. & Søgaard, Anders, 2021, Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021. Zong, C., Xia, F., Li, W. & Navigli, R. (red.). Association for Computational Linguistics, s. 3214-3224Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
Limitations of cross-lingual learning from image search
Hartmann, M. & Søgaard, Anders, 2018, Proceedings of the 3rd Workshop on Representation Learning for NLP. s. 59–163Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
A Multilingual Benchmark for Probing Negation-Awareness with Minimal Pairs
Hartmann, M., de Lhoneux, M., Hershcovich, Daniel, Kementchedjhieva, Yova Radoslavova, Nielsen, Lukas Christian, Qiu, C. & Søgaard, Anders, 2021, Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics, s. 244–257Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
Issue Framing in Online Discussion Fora
Hartmann, M., Jansen, T., Augenstein, Isabelle & Søgaard, Anders, 2019, Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers). Association for Computational Linguistics, s. 1401-1407Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
Why is unsupervised alignment of English embeddings from different algorithms so hard?
Hartmann, M., Kementchedjhieva, Yova Radoslavova & Søgaard, Anders, 2018, Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics, s. 582–586Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
Comparing Unsupervised Word Translation Methods Step by Step
Hartmann, M., Kementchedjhieva, Yova Radoslavova & Søgaard, Anders, 2019, Advances in Neural Information Processing Systems 32 (NIPS 2019). 11 s.Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
Challenges and Strategies in Cross-Cultural NLP
Hershcovich, Daniel, Frank, Stella Christina, Lent, H., de Lhoneux, M., Abdou, M., Brandl, Stephanie, Bugliarello, Emanuele, Cabello Piqueras, Laura, Chalkidis, Ilias, Cui, Ruixiang, Fierro Mella, Constanza Catalina, Margatina, K., Rust, Phillip & Søgaard, Anders, 2022, ACL 2022 - 60th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference (Long Papers). Muresan, S., Nakov, P. & Villavicencio, A. (red.). Association for Computational Linguistics (ACL), Bind 1. s. 6997-7013Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
When POS datasets don’t add up: Combatting sample bias
Hovy, D., Plank, B. & Søgaard, Anders, 2014, Proceedings of the 9th International Conference on Language Resources and Evaluation : LREC2014. Reykjavik, Iceland: European Language Resources AssociationPublikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
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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Reading metrics for estimating task efficiency with MT output
Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
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