1. He, J., Zhou, M., and Jiang, L. 2012. Generating Chinese classical poems with statistical machine translation models. AAAI, 1650--1656.
2. Zhang, X. and Lapata, M. 2014. Chinese poetry generation with recurrent neural networks. EMNLP 2014, 670--680.
3. Yu, L., Zhang, W., Wang, J. and Yu, Y. 2017. Seqgan: Sequence generative adversarial nets with policy gradient. AAAI, 2852--2858.
4. Yi, X., Li, R. and Sun, M. 2016. Generating chinese classical poems with RNN encoder decoder. arXiv preprint arXiv:1604.01537.
5. Karpathy, A. and FeiFei, L. 2015. Deep visual-semantic alignments for generating image descriptions. CVPR, 3128--3137.