| 1 |
Amorim, E. and Veloso, A. (2017). A multi-aspect analysis of automatic essay scoring for Brazilian Portuguese. In Student Research Workshop at the 15th Conference of the European Chapter of the Association for Computational Linguistics, pages 94-102.
|
|
| 2 |
Conneau, A., Khandelwal, K., Goyal, N., Chaudhary, N., Wenzek, G., Guzman, F., Grave, E., Ott, M., Zettlemoyer, L., and Stoyanov, V. (2019). Unsupervised cross-lingual representation learning at scale. CoRR, abs/1911.02116.
|
|
| 3 |
Fonseca, E., Medeiros, I., Kamikawachi, D., and Bokan, A. (2018). Automatically grading Brazilian student essays. In International Conference on Computational Processing of the Portuguese Language, pages 170-179. Springer.
|
|
| 4 |
Hu, E. J., Shen, Y., Wallis, P., Allen-Zhu, Z., Li, Y., Wang, S., Wang, L., Chen, W., et al. (2022). LoRA: Low-rank adaptation of large language models. ICLR, 1(2):3.
|
|
| 5 |
Lim, C. T., Bong, C. H., Wong, W. S., and Lee, N. K. (2021). A comprehensive review of automated essay scoring (AES) research and development. Pertanika Journal of Science and Technology, 29(3):1875-1899.
|
|
| 6 |
Silveira, I. C., Barbosa, A., and Maua, D. D. (2024). A new benchmark for automatic essay scoring in Portuguese. In PROPOR 2024, pages 228-237. Association for Computational Linguistics.
|
|
| 7 |
Ye, X. and Manoharan, S. (2021). Performance comparison of automated essay graders based on various language models. In ICOCO 2021, pages 152-157.
|
|