@inproceedings{xie-etal-2019-shakespeare,
    title = "From Shakespeare to {L}i-{B}ai: Adapting a Sonnet Model to {C}hinese Poetry",
    author = "Xie, Zhuohan  and
      Lau, Jey Han  and
      Cohn, Trevor",
    editor = "Mistica, Meladel  and
      Piccardi, Massimo  and
      MacKinlay, Andrew",
    booktitle = "Proceedings of the 17th Annual Workshop of the Australasian Language Technology Association",
    month = "4--6 " # dec,
    year = "2019",
    address = "Sydney, Australia",
    publisher = "Australasian Language Technology Association",
    url = "https://aclanthology.org/U19-1002",
    pages = "10--18",
    abstract = "In this paper, we adapt Deep-speare, a joint neural network model for English sonnets, to Chinese poetry. We illustrate characteristics of Chinese quatrain and explain our architecture as well as training and generation procedure, which differs from Shakespeare sonnets in several aspects. We analyse the generated poetry and find that model works well for Chinese poetry, as it can: (1) generate coherent 4-line quatrains of different topics; and (2) capture rhyme automatically (to a certain extent).",
}