1. Bradbury, J., Merity, S., Xiong, C., and Socher, R. (2016). “Quasi-recurrent Neural Networks.” In Proceedings of the International Conference on Learning Representations.
2. Busso, C., Bulut, M., Lee, C.-C., Kazemzadeh, A., Mower, E., Kim, S., Chang, J. N., Lee, S., and Narayanan, S. S. (2008). “IEMOCAP: Interactive Emotional Dyadic Motion Capture Database.” Language resources and evaluation, 42 (4), p. 335.
3. Devlin, J., Chang, M.-W., Lee, K., and Toutanova, K. (2018). “BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.” CORR, abs/1810.04805.
4. Gehring, J., Auli, M., Grangier, D., Yarats, D., and Dauphin, Y. N. (2017). “Convolutional Sequence to Sequence Learning.” In Proceedings of the 34th International Conference on Machine Learning-Volume 70, pp. 1243–1252.
5. Ghosal, D., Majumder, N., Poria, S., Chhaya, N., and Gelbukh, A. (2019). “DialogueGCN: A Graph Convolutional Neural Network for Emotion Recognition in Conversation.” In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), pp. 154–164.