Druță, V., Tamo - Larrieux, A., Guitton, C., & van Dijck, G. (2024). From Analog Risk Assessment Instruments to Digital Ones: Mapping the Concerns. In Proceedings of Ongoing Research, Practitioners, Posters, Workshops, and Projects of the International Conference EGOV-CeDEM-ePart 2024 (Vol. 3737 ) https://ceur-ws.org/Vol-3737/paper49.pdf
Guitton, C., Tamo-Larrieux, A., Mayer, S., & van Dijck, G. (2024). The challenge of open-texture in law. Artificial Intelligence and Law, 1-31. Advance online publication. https://doi.org/10.1007/s10506-024-09390-1
Louis, A., van Dijck, G., & Spanakis, G. (2024). Interpretable Long-Form Legal Question Answering with Retrieval-Augmented Large Language Models. In J. Dy, S. Natarajan, & M. Wooldridge (Eds.), Proceedings of the 38th AAAI Conference on Artificial Intelligence (20 ed., Vol. 38, pp. 22266-22275). AAAI Press. https://doi.org/10.1609/aaai.v38i20.30232
van Dijck, G., Rodrigues de Miranda, B., & Crombach, C. (2023). Centrality Scores and Precedent Value in Legal Network Analysis. In G. Sileno, J. Spanakis, & G. van Dijck (Eds.), Legal Knowledge and Information Systems (Vol. 379, pp. 247-256). IOS Press. https://doi.org/10.3233/FAIA230970
Sileno, G., Spanakis, G., & van Dijck, G. (Eds.) (2023). Legal Knowledge and Information Systems. IOS Press. Frontiers in Artificial Intelligence and Applications Vol. 379 https://doi.org/10.3233/FAIA379
Saxena, V., Bashpole, B., Van Dijck, G., & Spanakis, G. (2023). IDTraffickers: An Authorship Attribution Dataset to link and connect Potential Human-Trafficking Operations on Text Escort Advertisements. In H. Bouamor, J. Pino, & K. Bali (Eds.), Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (pp. 8444-8464). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/2023.emnlp-main.524
Minkova, K., Chakravarthy, S. M., & van Dijck, G. (2023). Low-Resource Deontic Modality Classification in EU Legislation. In D. Preoțiuc-Pietro, C. Goanta, I. Chalkidis, L. Barrett, G. Spanakis, & N. Aletras (Eds.), Proceedings of the Natural Legal Language Processing Workshop 2023 (pp. 149-158). Association for Computational Linguistics (ACL). https://aclanthology.org/2023.nllp-1.15.pdf
Saxena, V., Bashpole, B., Dijck, G. V., & Spanakis, G. (2023). IDTraffickers: An Authorship Attribution Dataset to link and connect Potential Human-Trafficking Operations on Text Escort Advertisements.
van Dijck, G., On, D., Snel, J., & Nanda, R. (2023). Retrieving Relevant EU Drone Legislation with Citation Analysis. Drones, 7(8), 1-19. Article 490. https://doi.org/10.3390/drones7080490
Saxena, V., Rethmeier, N., Dijck, G. V., & Spanakis, G. (2023). VendorLink: An NLP approach for Identifying & Linking Vendor Migrants & Potential Aliases on Darknet Markets. Association for Computational Linguistics (ACL). https://aclanthology.org/2023.acl-long.481/