1. Bai, S., Kolter, J.Z., Koltun, V.: An empirical evaluation of generic convolutional and recurrent networks for sequence modeling. ArXiv (2018)
2. Cao, P., Chen, Y., Liu, K., Zhao, J., Liu, S.: Adversarial transfer learning for Chinese named entity recognition with self-attention mechanism. In: EMNLP, pp. 182–192 (2018)
3. Chen, H., Lin, Z., Ding, G., Lou, J., Zhang, Y., Karlsson, B.: Grn: gated relation network to enhance convolutional neural network for named entity recognition. In: AAAI, pp. 6236–6243 (2019)
4. Chen, Y., Xu, L., Liu, K., Zeng, D., Zhao, J.: Event extraction via dynamic multi-pooling convolutional neural networks. In: ACL, pp. 167–176 (2015)
5. Chung, J., Gulcehre, C., Cho, K., Bengio, Y.: Empirical evaluation of gated recurrent neural networks on sequence modeling. In: NIPS Workshop (2014)