Research output per year
Research output per year
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Towards more comprehensive nationwide familial aggregation studies in Denmark: The Danish Civil Registration System versus the lite Danish Multi-Generation Register
Due, J. K., Pedersen, M. G., Antonsen, S., Rommedahl, J., Agerbo, E., Mortensen, P. B., Sørensen, H. T., Lotz, J. F., Piqueras, L. C., Fierro, C., Karamolegkou, A., Igel, C., Rust, P., Søgaard, A. & Pedersen, C. B., 2024, In: Scandinavian Journal of Public Health. 52, 4, p. 397-538Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile2 Downloads (Pure) -
Assessing Cross-Cultural Alignment between ChatGPT and Human Societies: An Empirical Study
Cao, Y., Zhou, L., Lee, S., Cabello, L., Chen, M. & Hershcovich, D., 2023, Proceedings of the First Workshop on Cross-Cultural Considerations in NLP (C3NLP). Association for Computational Linguistics (ACL), p. 53-67Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Open Access -
Being Right for Whose Right Reasons?
Thorn Jakobsen, T. S., Cabello, L. & Søgaard, A., 2023, Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics : Long Papers. Association for Computational Linguistics (ACL), Vol. 1. p. 1033-1054Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Open AccessFile6 Citations (Scopus)18 Downloads (Pure) -
Cross-Cultural Transfer Learning for Chinese Offensive Language Detection
Zhou, L., Cabello, L., Cao, Y. & Hershcovich, D., 2023, EACL 2023 - Cross-Cultural Considerations in NLP @ EACL, Proceedings of the Workshop. Association for Computational Linguistics (ACL), p. 8-15Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Open AccessFile5 Citations (Scopus)11 Downloads (Pure) -
Evaluating Bias and Fairness in Gender-Neutral Pretrained Vision-and-Language Models
Cabello, L., Bugliarello, E., Brandl, S. & Elliott, D., 2023, Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics (ACL), p. 8465-8483Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Open AccessFile8 Downloads (Pure) -
On the Independence of Association Bias and Empirical Fairness in Language Models
Cabello, L., Jørgensen, A. K. & Søgaard, A., 2023, Proceedings of the 6th ACM Conference on Fairness, Accountability, and Transparency, FAccT 2023. Association for Computing Machinery, Inc., p. 370-378Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
File5 Citations (Scopus)9 Downloads (Pure) -
Rather a Nurse than a Physician - Contrastive Explanations under Investigation
Eberle, O., Chalkidis, I., Cabello, L. & Brandl, S., 2023, Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics (ACL), p. 6907-6920Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Open AccessFile1 Citation (Scopus)4 Downloads (Pure) -
Are Pretrained Multilingual Models Equally Fair across Languages?
Cabello Piqueras, L. & Søgaard, A., 2022, Proceedings of the 29th International Conference on Computational Linguistics. International Committee on Computational Linguistics, p. 3597–3605Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Open AccessFile20 Downloads (Pure)