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 planningbased 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.
To ensure that the generated poem is coherent and semantically consistent with the users' intents, REF propose a two-stage poetry generating method.
Chinese Poetry Generation with Planning based Neural Network
ArXiv
ArXiv
Computer Science