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Ming He, Yan Chen, Hongke Zhao, Qi Liu, Le Wu, Yu Cui, Guihua Zeng, Guiquan Liu. Composing Like an Ancient Chinese Poet: Learn to Generate Rhythmic Chinese Poetry. Journal of Computer Science and Technology. doi: 10.1007/s11390-023-1295-1
Citation: Ming He, Yan Chen, Hongke Zhao, Qi Liu, Le Wu, Yu Cui, Guihua Zeng, Guiquan Liu. Composing Like an Ancient Chinese Poet: Learn to Generate Rhythmic Chinese Poetry. Journal of Computer Science and Technology. doi: 10.1007/s11390-023-1295-1

Composing Like an Ancient Chinese Poet: Learn to Generate Rhythmic Chinese Poetry

  • 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 tend first to write a coarse poem underlying aesthetics and then deliberate 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 both in automatic evaluation metrics and human evaluation metrics compared with baselines, especially in yielding consistent improvements in tone and rhyme.
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