APA (7th ed.) Citation

Sbei, A., ElBedoui, K., & Barhoumi, W. (2025). Assessing the Efficiency of Transformer Models with Varying Sizes for Text Classification: A Study of Rule-Based Annotation with DistilBERT and Other Transformers. Vietnam Journal of Computer Science (World Scientific), 12(3), 301. https://doi.org/10.1142/S2196888824500209

Chicago Style (17th ed.) Citation

Sbei, Arafet, Khaoula ElBedoui, and Walid Barhoumi. "Assessing the Efficiency of Transformer Models with Varying Sizes for Text Classification: A Study of Rule-Based Annotation with DistilBERT and Other Transformers." Vietnam Journal of Computer Science (World Scientific) 12, no. 3 (2025): 301. https://doi.org/10.1142/S2196888824500209.

MLA (9th ed.) Citation

Sbei, Arafet, et al. "Assessing the Efficiency of Transformer Models with Varying Sizes for Text Classification: A Study of Rule-Based Annotation with DistilBERT and Other Transformers." Vietnam Journal of Computer Science (World Scientific), vol. 12, no. 3, 2025, p. 301, https://doi.org/10.1142/S2196888824500209.