@article{He2023, 
author = {Ming He and Yan Chen and Hong-Ke Zhao and Qi Liu and Le Wu and Yu Cui and Gui-Hua Zeng and Gui-Quan Liu},
title = {Composing Like an Ancient Chinese Poet: Learn to Generate Rhythmic Chinese Poetry},
year = {2023},
journal = {Journal of Computer Science and Technology},
volume = {38},
number = {6},
pages = {1272-1287},
keywords = {aesthetics, poetry generation, polishing, semantics, two-stage method},
url = {https://www.sciopen.com/article/10.1007/s11390-023-1295-1},
doi = {10.1007/s11390-023-1295-1},
abstract = {Automatic generation of Chinese classical poetry is still a challenging problem in artificial intelligence. Recently, Encoder-Decoder models have provided a few viable methods for poetry generation. However, by reviewing the prior methods, two major issues still need to be settled: 1) most of them are one-stage generation methods without further polishing; 2) they rarely take into consideration the restrictions of poetry, such as tone and rhyme. Intuitively, some ancient Chinese poets tended first to write a coarse poem underlying aesthetics and then deliberated its semantics; while others first create a semantic poem and then refine its aesthetics. On this basis, in order to better imitate the human creation procedure of poems, we propose a two-stage method (i.e., restricted polishing generation method) of which each stage focuses on the different aspects of poems (i.e., semantics and aesthetics), which can produce a higher quality of generated poems. In this way, the two-stage method develops into two symmetrical generation methods, the aesthetics-to-semantics method and the semantics-to-aesthetics method. In particular, we design a sampling method and a gate to formulate the tone and rhyme restrictions, which can further improve the rhythm of the generated poems. Experimental results demonstrate the superiority of our proposed two-stage method in both automatic evaluation metrics and human evaluation metrics compared with baselines, especially in yielding consistent improvements in tone and rhyme.}
}