Natural language processing: state of the art, current trends and challenges SpringerLink
Deep learning methods prove very good at text classification, achieving state-of-the-art results on a suite of standard academic benchmark problems. Conneau, A., Khandelwal, K., Goyal, N., Chaudhary, V., Wenzek, G., Guzmán, F., et al. (2020). “Unsupervised cross-lingual representation learning at scale,” in Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (Online), 8440–8451. Debiasing word embeddings,” in 30th Conference on Neural Information Processing Systems (NIPS 2016) (Barcelona). The authors declare that the research was conducted in the...
