1. Otter, D. W., Medina, J. R. & Kalita, J. K. A survey of the usages of deep learning for natural language processing. IEEE Trans. Neural. Net Learn. 32, 604–624 (2020).
2. Sutskever, I., Vinyals, O., & Le, Q. V. Sequence to sequence learning with neural networks. In Proceedings of Annual Conference on Neural Information Processing Systems (NIPS’14), Quebec, Canada, 3104–3112 (2014).
3. Vaswani, A., Shazeer, N., Parmar, N., et al. Attention is all you need. In Proceedings of Annual Conference on Neural Information Processing Systems (NIPS’17), Long Beach, CA, USA, 5998–6008 (2017).
4. Lample, G., & Charton, F. Deep learning for symbolic mathematics. In Proceedings of International Conference on Learning Representations (ICLR’20), Addis Ababa, Ethiopia (2020).
5. Shen, Y., & Jin, C. Solving math word problems with multi-encoders and multi-decoders. In Proceedings of International Conference on Computational Linguistics (COLING’20), Virtual Event/Barcelona, Spain, 2924–2934 (2020).