@InProceedings{wang-EtAl:2016:COLING3,
  author    = {Wang, Zhe  and  He, Wei  and  Wu, Hua  and  Wu, Haiyang  and  Li, Wei  and  Wang, Haifeng  and  Chen, Enhong},
  title     = {Chinese Poetry Generation with Planning based Neural Network},
  booktitle = {Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers},
  month     = {December},
  year      = {2016},
  address   = {Osaka, Japan},
  publisher = {The COLING 2016 Organizing Committee},
  pages     = {1051--1060},
  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.},
  url       = {http://aclweb.org/anthology/C16-1100}
}