Dr Eva Vanmassenhove

Backus, A., Cohen, M., Cohn, N., Faber, M., Krahmer, E., Laparle, S., Maier, E., Miltenburg, E. V., Roelofsen, F., Sciubba, E., Scholman, M., Shterionov, D., Sie, M., Tomas, F., Vanmassenhove, E., Venhuizen, N., & Vos, C. D. (2023). Minds: Big questions for linguistics in the age of AI. Linguistics in the Netherlands, 40(1), 301-308.

Jurriaans, C., Rotman, S., & Vanmassenhove, E. (2023). Predicting Station-Level Bike Demand in Bike-Sharing Systems Using a Hybrid Neural Network. In Predicting Station-Level Bike Demand in Bike-Sharing Systems Using a Hybrid Neural Network

Leone, L., & Vanmassenhove, E. (2023). Use of generative pre-trained large language models to predict suicide risk on social media texts. Abstract from Computational Linguistics in The Netherlands , Antwerp, Belgium. https://clin33.uantwerpen.be/abstract/use-of-generative-pre-trained-large-language-models-to-predict-suicide-risk-on-social-media-texts/

Sharami, J. P. R., Shterionov, D., Blain, F., Vanmassenhove, E., Sisto, M. D., Emmery, C., & Spronck, P. (Accepted/In press). Tailoring Domain Adaptation for Machine Translation Quality Estimation. In Proceedings of the 24th Annual Conference of the European Association for Machine Translation (pp. 1-13)

Shterionov, D., & Vanmassenhove, E. (2023). The Ecological Footprint of Neural Machine Translation Systems. In H. Moniz, & C. Parra Escartín (Eds.), Towards Responsible Machine Translation: Ethical and Legal Considerations in Machine Translation (Vol. 4, pp. 185-213). Springer Nature Switzerland AG.