Søgaard, Anders

Deep multi-task learning with low level tasks supervised at lower layers

Søgaard, A., & Goldberg, Y. (2016) · Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)

Natural Language Processing TechniquesDomain Adaptation and Few-Shot Learning

Cited by 445

Challenges and Strategies in Cross-Cultural NLP

Hershcovich, D., Frank, S., Lent, H., de Lhoneux, M., Abdou, M., Brandl, S., Bugliarello, E., Cabello Piqueras, L., Chalkidis, I., Cui, R., et al. (2022) · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Natural Language Processing TechniquesTopic Modeling

Cited by 99

Linguistically debatable or just plain wrong?

Plank, B., Hovy, D., & Søgaard, A. (2014) · Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)

Natural Language Processing TechniquesLinguistic Studies and Language Acquisition

Cited by 86

Can Language Models Encode Perceptual Structure Without Grounding? A Case Study in Color

Abdou, M., Kulmizev, A., Hershcovich, D., Frank, S., Pavlick, E., & Søgaard, A. (2021) · arXiv

Categorization, perception, and languageTopic Modeling

Cited by 70

Can Language Models Encode Perceptual Structure Without Grounding? A Case Study in Color

Abdou, M., Kulmizev, A., Hershcovich, D., Frank, S., Pavlick, E., & Søgaard, A. (2021) · Proceedings of the 25th Conference on Computational Natural Language Learning

Categorization, perception, and languageTopic Modeling

Cited by 64

What's in a p-value in NLP?

Søgaard, A., Johannsen, A., Plank, B., Hovy, D., & Martínez Alonso, H. (2014) · Proceedings of the Eighteenth Conference on Computational Natural Language Learning

Natural Language Processing TechniquesTopic Modeling

Cited by 39

When POS data sets don’t add up: Combatting sample bias

Hovy, D., Plank, B., & Søgaard, A. (2014) · Proceedings of the Language Resources and Evaluation Conference

Natural Language Processing TechniquesSentiment Analysis and Opinion Mining

Cited by 14

Latent Multi-Task Architecture Learning

Ruder, S., Bingel, J., Augenstein, I., & Søgaard, A. (2019) · Proceedings of the AAAI Conference on Artificial Intelligence

Domain Adaptation and Few-Shot LearningTopic Modeling

Cited by 14

On the independence of association bias and empirical fairness in language models

Cabello, L., Jørgensen, A. K., & Søgaard, A. (2023) · 2023 ACM Conference on Fairness, Accountability, and Transparency

Ethics and Social Impacts of AIHate Speech and Cyberbullying Detection

Cited by 14

Do Vision and Language Models Share Concepts? A Vector Space Alignment Study

Li, J., Kementchedjhieva, Y., Fierro, C., & Søgaard, A. (2024) · Transactions of the Association for Computational Linguistics

Multimodal Machine Learning ApplicationsTopic Modeling

Cited by 6