Chinese Poetry Generation with Planning based Neural Network

By Zhe Wang, Wei He, Hua Wu, Haiyang Wu, Haifeng Wang, Enhong Chen. 2016

145 citations recorded by the source corpus.

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.

Subfields: Artificial Intelligence, Control and Systems Engineering, Natural Language Processing

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Citations in the corpus

Neural Generation for Czech: Data and Baselines (2019, background): “Other works on neural non-English NLG solve in fact different tasks from ours: Chinese poetry generation (Zhang and Lapata, 2014; Yi et al., 2017; Wang et al., 2016), non-task-oriented response generation in chatbots (Xing et al.”
CTRLsum: Towards Generic Controllable Text Summarization (2020, background): “Wang et al. (2016), Mou et al. (2016), and Yao et al. (2019) use textual input to plan poetry, dialogue, and stories respectively.”
Condition Aware and Revise Transformer for Question Answering (2020, methodology): “Inspired by the attention mechanism in sequence-to-sequence models such as[30],[2],[27],[10], the crossattention sub-layer employs multi-head attention over all dialogue hidden representations.”
A Knowledge-Enhanced Pretraining Model for Commonsense Story Generation (2020, background): “Another line is to decompose story generation into separate steps (Martin et al., 2018; Fan et al., 2018; Wang et al., 2016; Xu et al., 2018; Yao et al., 2019; Fan et al., 2019).”
Inverse Cooking: Recipe Generation From Food Images (2018, background): “More recently, sequenceto-sequence models have been applied to more open-ended generation tasks, such as poetry [55] and story generation [23, 9].”
Topic-to-Essay Generation with Neural Networks (2018, methodology): “A Chinese poetry generation method with planning based neural network [Wang et al. , 2016b].”