The following external documentation provides additional information:
- Wasala, A., Garg, M., Shaw, P., Arora, A., Singh, S., & Punjj, R. (2021). Dell Technologies DellNLP: A Centralized Text Processing Engine | Dell Technologies Info Hub. https://infohub.delltechnologies.com/t/dell-technologies-dellnlp-a-centralized-text-processing-engine/
- Yang, Z., Dai, Z., Yang, Y., Carbonell, J., Salakhutdinov, R. R., & Le, Q. V. (2019). Xlnet: Generalized autoregressive pretraining for language understanding. Advances in neural information processing systems, 32.
- Wang, A., Pruksachatkun, Y., Nangia, N., Singh, A., Michael, J., Hill, F., ... & Bowman, S. (2019). Superglue: A stickier benchmark for general-purpose language understanding systems. Advances in neural information processing systems, 32.
- Fielding, R. T., & Taylor, R. N. (2002). Principled design of the modern web architecture. ACM Transactions on Internet Technology (TOIT), 2(2), 115-150.
- Sun, A., Lim, E. P., & Liu, Y. (2009). On strategies for imbalanced text classification using SVM: A comparative study. Decision Support Systems, 48(1), 191-201.
- Liqun Liu, Funan Mu, Pengyu Li, Xin Mu, Jing Tang, Xingsheng Ai, Ran Fu, Lifeng Wang, and Xing Zhou. 2019. NeuralClassifier: An Open-source Neural Hierarchical Multi-label Text Classification Toolkit. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: System Demonstrations, pages 87–92, Florence, Italy. Association for Computational Linguistics.
- Matthias Damaschk, Tillmann Dönicke, and Florian Lux. 2019. Multiclass Text Classification on Unbalanced, Sparse and Noisy Data. In Proceedings of the First NLPL Workshop on Deep Learning for Natural Language Processing, pages 58–65, Turku, Finland. Linköping University Electronic Press.