1. Almeida, T.S., Laitz, T., Bonás, G.K., Nogueira, R.: Bluex: A benchmark based on Brazilian leading universities entrance exams. To appear (2023)
2. Antoun, W., Baly, F., Hajj, H.: AraBERT: Transformer-based model for Arabic language understanding. In: Proceedings of the 4th Workshop on Open-Source Arabic Corpora and Processing Tools, with a Shared Task on Offensive Language Detection. pp. 9–15. European Language Resource Association, Marseille, France (2020)
3. Barros, T.M.d., et al.: Employing transformers and emoji to perform sentiment classification of social media texts: Utilizando transformers e emoji na classificação de sentimento de textos oriundos de redes sociais (2021)
4. Bhattacharjee, A., et al.: BanglaBERT: Language model pretraining and benchmarks for low-resource language understanding evaluation in Bangla. In: Findings of the Association for Computational Linguistics: NAACL 2022, pp. 1318–1327. Association for Computational Linguistics, Seattle, United States (2022). https://doi.org/10.18653/v1/2022.findings-naacl.98
5. Brum, H., Volpe Nunes, M.d.G.: Building a sentiment corpus of tweets in Brazilian Portuguese. In: Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018). European Language Resources Association (ELRA), Miyazaki, Japan (May 2018)