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Generating Chinese Classical Poems with RNN Encoder-Decoder

arXiv 1604.01537 ↗First posted 6 Apr 2016cs.CL cs.NEcited by 16

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Abstract (arXiv)

We take the generation of Chinese classical poem lines as a sequence-to-sequence learning problem, and build a novel system based on the RNN Encoder-Decoder structure to generate quatrains (Jueju in Chinese), with a topic word as input. Our system can jointly learn semantic meaning within a single line, semantic relevance among lines in a poem, and the use of structural, rhythmical and tonal patterns, without utilizing any constraint templates. Experimental results show that our system outperforms other competitive systems. We also find that the attention mechanism can capture the word associations in Chinese classical poetry and inverting target lines in training can improve performance.

Key facts. Cited by 16 papers in the map (data through 7 Oct 2026). First posted on arXiv 6 Apr 2016.

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Citing papers per year: 2021: 3; 2022: 3; 2023: 3; 2024: 3; 2025: 2; 2026: 2.

16 papers.

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