Cite
Neural Data-to-Text Generation Based on Small Datasets: Comparing the Added Value of Two Semi-Supervised Learning Approaches on Top of a Large Language Model.
MLA
van der Lee, Chris, et al. “Neural Data-to-Text Generation Based on Small Datasets: Comparing the Added Value of Two Semi-Supervised Learning Approaches on Top of a Large Language Model.” Computational Linguistics, vol. 49, no. 3, Sept. 2023, pp. 555–611. EBSCOhost, https://doi.org/10.1162/coli_a_00484.
APA
van der Lee, C., Ferreira, T. C., Emmery, C., Wiltshire, T. J., & Krahmer, E. (2023). Neural Data-to-Text Generation Based on Small Datasets: Comparing the Added Value of Two Semi-Supervised Learning Approaches on Top of a Large Language Model. Computational Linguistics, 49(3), 555–611. https://doi.org/10.1162/coli_a_00484
Chicago
van der Lee, Chris, Thiago Castro Ferreira, Chris Emmery, Travis J. Wiltshire, and Emiel Krahmer. 2023. “Neural Data-to-Text Generation Based on Small Datasets: Comparing the Added Value of Two Semi-Supervised Learning Approaches on Top of a Large Language Model.” Computational Linguistics 49 (3): 555–611. doi:10.1162/coli_a_00484.