1. Cambria, E., Liu, Q., Decherchi, S., Xing, F., Kwok, K.: SenticNet 7: a commonsense-based Neurosymbolic AI framework for explainable sentiment analysis. In: Proceedings of the Thirteenth Language Resources and Evaluation Conference, pp. 3829–3839 (2022)
2. Coltheart, M.: The MRC psycholinguistic database. Q. J. Exp. Psychol. A 33(4), 497–505 (1981)
3. Dai, Z., Yang, Z., Yang, Y., Carbonell, J., Le, Q.V., Salakhutdinov, R.: Transformer-XL: Attentive language models beyond a fixed-length context. arXiv preprint arXiv:1901.02860 (2019)
4. Devlin, J., Chang, M.W., Lee, K., Toutanova, K.: BERT: Pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805 (2018)
5. Hernandez, R., Scott, I.: Predicting Myers-Briggs type indicator with text. In: 31st Conference on Neural Information Processing Systems (NIPS 2017) (2017)