Anders Søgaard
Professor
Natural Language Processing
Universitetsparken 1
2100 København Ø
Institut for Kommunikation
Karen Blixens Plads 8
2300 København S
- 2021
- Udgivet
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, s. 12884-12892. 10 s. (Proceedings of the International Joint Conference on Artificial Intelligence; Nr. 14, Bind 35).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
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, s. 3031-3045Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
Can Language Models Encode Perceptual Structure Without Grounding? A Case Study in Color
Abdou, M., Kulmizev, A., Hershcovich, Daniel, Frank, S., Pavlick, E. & Søgaard, Anders, 2021, Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics, s. 109–132Publikation: 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
Common Sense Bias in Semantic Role Labeling
Lent, H. C. & Søgaard, Anders, 2021, Proceedings of the Seventh Workshop on Noisy User-generated Text (W-NUT 2021). Association for Computational Linguistics, s. 114–119Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
Do Language Models Know the Way to Rome?
Liétard, B. N., Abdou, M. & Søgaard, Anders, 2021, Proceedings of the Fourth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP. Association for Computational Linguistics, s. 510–517Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
Dynamic Forecasting of Conversation Derailment
Kementchedjhieva, Yova Radoslavova & Søgaard, Anders, 2021, Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics, s. 7915–7919Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
Ellipsis resolution as question answering: An evaluation
Aralikatte, R., Lamm, M., Hardt, D. & 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. 810-817 8 s.Publikation: 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
Evaluation of Summarization Systems across Gender, Age, and Race
Jørgensen, A. & Søgaard, Anders, 2021, Proceedings of the Third Workshop on New Frontiers in Summarization. Association for Computational Linguistics, s. 51–56Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
Explainable Natural Language Processing
Søgaard, Anders, 2021, Morgan & Claypool. 123 s. (Synthesis Lectures on Human Language Technologies; Nr. 3, Bind 14).Publikation: Bog/antologi/afhandling/rapport › Bog › Forskning › fagfællebedømt
- Udgivet
Guideline Bias in Wizard-of-Oz Dialogues
Bach Hansen, V. P. & Søgaard, Anders, 2021, BPPF 2021 - 1st Workshop on Benchmarking: Past, Present and Future, Proceedings. Church, K., Liberman, M. & Kordoni, V. (red.). Association for Computational Linguistics, s. 8-14Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
How far can we get with one GPU in 100 hours? CoAStaL at MultiIndicMT Shared Task
Aralikatte, R., Murrieta Bello, H. R., Hershcovich, Daniel, Bollmann, M. & Søgaard, Anders, 2021, Proceedings of the 8th Workshop on Asian Translation (WAT2021). Association for Computational Linguistics, s. 205-211Publikation: 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
John praised Mary because he ? Implicit Causality Bias and Its Interaction with Explicit Cues in LMs
Kementchedjhieva, Yova Radoslavova, Anderson, M. & Søgaard, Anders, 2021, Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021. Association for Computational Linguistics, s. 4859-4871Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
Joint Semantic Analysis with Document-Level Cross-Task Coherence Rewards
Aralikatte, R. R., Abdou, M. H. M. A., Lent, H. C., Hershcovich, Daniel & Søgaard, Anders, 2021, Proceedings of the AAAI-21 International Joint Conference on Artificial Intelligence. AAAI Press, 10 s. (Proceedings of the International Joint Conference on Artificial Intelligence; Nr. 14, Bind 35).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
Locke’s Holiday: Belief Bias in Machine Reading
Søgaard, Anders, 2021, Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics, s. 8240–8245Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
Minimax and Neyman–Pearson Meta-Learning for Outlier Languages
Ponti, E. M., Aralikatte, R., Shrivastava, D., Reddy, S. & Søgaard, Anders, 2021, Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021. Association for Computational Linguistics, s. 1245-1260Publikation: 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
On Language Models for Creoles
Lent, H., Bugliarello, Emanuele, De Lhoneux, M., Qiu, C. & Søgaard, Anders, 2021, Proceedings of the 25th Conference on Computational Natural Language Learning. Association for Computational Linguistics, s. 58-71Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
Replicating and Extending "Because Their Treebanks Leak": Graph Isomorphism, Covariants, and Parser Performance
Anderson, M., Søgaard, Anders & Gómez-Rodriguez, C., 2021, Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 2: Short Papers). Association for Computational Linguistics, s. 1090-1098Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
Resources and Evaluations for Danish Entity Resolution
Barrett, M., Lam, H., Wu, M., Lacroix, O., Plank, B. & Søgaard, Anders, 2021, Proceedings of the Fourth Workshop on Computational Models of Reference, Anaphora and Coreference. Association for Computational Linguistics, s. 63-69Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
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, s. 4581–4588Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
Spurious Correlations in Cross-Topic Argument Mining
Jakobsen, Terne Sasha Thorn, Barrett, M. & Søgaard, Anders, 2021, Proceedings of *SEM 2021: The Tenth Joint Conference on Lexical and Computational Semantics. Association for Computational Linguistics, s. 263-277Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
The Effect of Round-Trip Translation on Fairness in Sentiment Analysis
Christiansen, J. G., Gammelgaard, M. L. & Søgaard, Anders, 2021, Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics, s. 4423–4428Publikation: 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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