Marijn ten Thij (M.C.)

Prochnow, A., Bendler, J., Lange, C., Tzavellos, F., Göritzer, B., Ten Thij, M., & Batista-Navarro, R. (2024). IDEM: The IDioms with EMotions Dataset for Emotion Recognition. In N. Calzolari, M.-Y. Kan, V. Hoste, A. Lenci, S. Sakti, & N. Xue (Eds.), 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation, LREC-COLING 2024 - Main Conference Proceedings (pp. 8569-8579). European Language Resources Association (ELRA). https://aclanthology.org/2024.lrec-main.752/

Khan, A., Thij, M. T., Thuijsman, F., & Wilbik, A. (2024). Using the Nucleolus for Incentive Allocation in Vertical Federated Learning. In F. M. Awaysheh, S. Alawadi, L. Carnevale, J. Lloret Mauri, & M. Alsmirat (Eds.), 2024 2nd International Conference on Federated Learning Technologies and Applications, FLTA 2024 (pp. 224-231). IEEE. https://doi.org/10.1109/FLTA63145.2024.10839765

Santing, L., Jean-Luc Sijstermans, R., Anerdi, G., Jeuris, P., ten Thij, M., & Batista-Navarro, R. (2022). Food for Thought: How can we exploit contextual embeddings in the translation of idiomatic expressions? In Proceedings of the 3rd Workshop on Figurative Language Processing (FLP) (pp. 100-110). Association for Computational Linguistics. https://doi.org/10.18653/v1/2022.flp-1.14