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arXiv · 1610.09889

Chinese Poetry Generation with Planning based Neural Network

Zhe Wang·Wei He·Hua Wu·Haiyang Wu·Wei Li·Haifeng Wang·Enhong Chen
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Abstract

Chinese poetry generation is a very challenging task in natural language processing. In this paper, we propose a novel two-stage poetry generating method which first plans the sub-topics of the poem according to the user's writing intent, and then generates each line of the poem sequentially, using a modified recurrent neural network encoder-decoder framework. The proposed planning-based method can ensure that the generated poem is coherent and semantically consistent with the user's intent. A comprehensive evaluation with human judgments demonstrates that our proposed approach outperforms the state-of-the-art poetry generating methods and the poem quality is somehow comparable to human poets.

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Zhe Wang, Wei He, Hua Wu, Haiyang Wu, Wei Li, Haifeng Wang, Enhong Chen. 2016-10-31. Chinese Poetry Generation with Planning based Neural Network. https://arxiv.org/abs/1610.09889

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