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Results: 78,791
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Veenboer, T., & Bloem, J. (2023). Using Collostructional Analysis to evaluate BERT's representation of linguistic constructions. In A. Rogers, J. Boyd-Graber, & N. Okazaki (Eds.), Findings of the Association for Computational Linguistics: ACL 2023: July 9-14, 2023 (pp. 12937–12951). Association for Computational Linguistics. https://doi.org/10.18653/v1/2023.findings-acl.819 -
Peeters, S. (2023). Analyzing Online Expression Affordances on IRC and Twitter. In M. Saunders, & L. Gee (Eds.), Ego-Media : Life Writing and Online Affordances Stanford University Press. https://doi.org/10.21627/2023em -
Zhao, K., Han, S., Ke, L., Wu, X., Yan, X., Cao, X., Li, L., Jiang, X., Wang, Z., Liu, H., & Yan, N. (2023). Operando studies of electrochemical denitrogenation and its mitigation of N-doped carbon catalysts in alkaline media. ACS Catalysis, 13(5), 2813-2821. https://doi.org/10.1021/ACSCATAL.2C05590 -
Scarratt, R. J., Heggli, O. A., Vuust, P., & Sadakata, M. (2023). Music that is used while studying and music that is used for sleep share similar musical features, genres and subgroups. Scientific Reports, 13, Article 4735. https://doi.org/10.1038/s41598-023-31692-8 -
Boere, N., de Jong, B., Jansen in de Wal, J., & Cornelissen, F. (2023). Does training content matter? Differences between soft- and hard-skill trainings in transfer motivation. Journal of Workplace Learning, 35(9), 274-290. https://doi.org/10.1108/JWL-03-2023-0046 -
Roeder, J., Pimentel, A. D., & Grelck, C. (2023). GCN-based reinforcement learning approach for scheduling DAG applications. In I. Maglogiannis, L. Iliadis, J. MacIntyre, & M. Dominguez (Eds.), Artificial Intelligence Applications and Innovations : 19th IFIP WG 12.5 International Conference, AIAI 2023, León, Spain, June 14–17, 2023 : proceedings (Vol. II, pp. 121–134). (IFIP Advances in Information and Communication Technology; Vol. 676). Springer. https://doi.org/10.1007/978-3-031-34107-6_10
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