Anders Søgaard
Professor
Natural Language Processing
Universitetsparken 1
2100 København Ø
Institut for Kommunikation
Karen Blixens Plads 8
2300 København S
- Udgivet
Using reading behavior to predict grammatical functions
Barrett, M. J. & Søgaard, Anders, 2015, Proceedings of the Sixth Workshop on Cognitive Aspects of Computational Language Learning: CogACLL-2015). Lisbon, Portugal: Association for Computational Linguistics, s. 1-5 5 s.Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
Sequence classification with human attention
Barrett, M. J., Bingel, J., Hollenstein, N., Rei, M. & Søgaard, Anders, 2018, Proceedings of the 22nd Conference on Computational Natural Language Learning (CoNLL 2018). Korhonen, A. & Titov, I. (red.). Association for Computational Linguistics, s. 302–312Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
Clustering Monolingual Vocabularies to Improve Cross-Lingual Generalization
Bassani, R., Søgaard, Anders & Deoskar, T., 2021, Proceedings of the 1st Workshop on Multilingual Representation Learning. Association for Computational Linguistics, s. 32–40Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
Naive regularizers for low-resource neural machine translation
Beloucif, M., Gonzalez, Ana Valeria, Bollmann, M. & Søgaard, Anders, 2019, International Conference on Recent Advances in Natural Language Processing in a Deep Learning World, RANLP 2019 - Proceedings. Angelova, G., Mitkov, R., Nikolova, I., Temnikova, I. & Temnikova, I. (red.). Incoma Ltd, s. 102-111 10 s.Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
Extracting token-level signals of syntactic processing from fMRI - with an application to PoS induction
Bingel, J., Barrett, M. J. & Søgaard, Anders, 2016.Publikation: Konferencebidrag › Paper › Forskning › fagfællebedømt
- Udgivet
Lexii: A tool for adaptive, personalized text simplification
Bingel, J., Paetzold, G. H. & Søgaard, Anders, 2018, Proceedings of the 27th International Conference on Computational Linguistics. Association for Computational Linguistics, s. 245-258Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
Domain Transfer in Dialogue Systems without Turn-Level Supervision
Bingel, J., Hansen, V. P. B., Gonzalez, Ana Valeria, Budzianowski, P., Augenstein, Isabelle & Søgaard, Anders, 2019. 12 s.Publikation: Konferencebidrag › Paper › Forskning
- Udgivet
Text Simplification as Tree Labeling
Bingel, J. & Søgaard, Anders, 2016, The 54th Annual Meeting of the Association for Computational Linguistics: Proceedings of the Conference. Berlin: Association for Computational Linguistics, Bind 2. s. 337-343 7 s.Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
Identifying beneficial task relations for multi-task learning in deep neural networks
Bingel, J. & Søgaard, Anders, 2017, Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: volume 2, short papers. Association for Computational Linguistics, Bind 2. s. 164-169 6 s.Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
Improving historical spelling normalization with bi-directional LSTMs and multi-task learning
Bollman, M. & Søgaard, Anders, 2016, The 26th International Conference on Computational Linguistics: proceedings of COLING 2016: technical Papers. s. 131-139 9 s.Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
Multi-task learning for historical text normalization: Size matters
Bollmann, M. M., Søgaard, Anders & Bingel, J., 2018, Proceedings of the Workshop on Deep Learning Approaches for Low-Resource NLP. Association for Computational Linguistics, s. 19–24Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
Learning attention for historical text normalization by learning to pronounce
Bollmann, M., Bingel, J. & Søgaard, Anders, 1 jan. 2017, ACL 2017 - 55th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference (Long Papers). Association for Computational Linguistics, s. 332-344 13 s.Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
Moses and the Character-Based Random Babbling Baseline: CoAStaL at AmericasNLP 2021 Shared Task
Bollmann, M., Aralikatte, R., Bello, H. R. M., Hershcovich, Daniel, de Lhoneux, M. & Søgaard, Anders, 2021, Proceedings of the 1st Workshop on Natural Language Processing for Indigenous Languages of the Americas, AmericasNLP 2021. Mager, M., Oncevay, A., Rios, A., Ruiz, I. V. M., Palmer, A., Neubig, G. & Kann, K. (red.). Association for Computational Linguistics, s. 248-254Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
Few-Shot and Zero-Shot Learning for Historical Text Normalization
Bollmann, M., Korchagina, N. & Søgaard, Anders, 2019, Proceedings of the 2nd Workshop on Deep Learning Approaches for Low-Resource NLP (DeepLo 2019). Association for Computational Linguistics, s. 104-114Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
Error analysis and the role of morphology
Bollmann, M. & Søgaard, Anders, 2021, EACL 2021 - 16th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference. Association for Computational Linguistics, s. 1887-1900Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
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), Bind 2020-October. s. 4352-4356Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
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), s. 3624-3630Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
Evaluating Deep Taylor Decomposition for Reliability Assessment in the Wild
Brandl, Stephanie, Hershcovich, Daniel & Søgaard, Anders, 2022, I: Proceedings of the International AAAI Conference on Web and Social Media. 16, s. 1368-1372Publikation: Bidrag til tidsskrift › Konferenceartikel › Forskning › fagfællebedømt
- Udgivet
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, Bind 2. s. 237-243 7 s.Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
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, s. 2432–2442 11 s.Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
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, Bind 1. s. 292-304 13 s.Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
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, s. 37-42 6 s.Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
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. s. 1903-1913 11 s.Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
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., s. 370-378Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
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, s. 3597–3605Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
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Multilingual projection for parsing truly low resource languages
Publikation: Bidrag til tidsskrift › Konferenceartikel › Forskning › fagfællebedømt
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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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