Poetry generation, and creative language generation in general, usually
suffers from the lack of large training data. In this paper, we present a novel
framework to generate sonnets that does not require training on poems. We
design a hierarchical framework which plans the poem sketch before decoding.
Specifically, a content planning module is trained on non-poetic texts to
obtain discourse-level coherence; then a rhyme module generates rhyme words and
a polishing module introduces imagery and similes for aesthetics purposes.
Finally, we design a constrained decoding algorithm to impose the
meter-and-rhyme constraint of the generated sonnets. Automatic and human
evaluation show that our multi-stage approach without training on poem corpora
generates more coherent, poetic, and creative sonnets than several strong
baselines.

本文提出了一个新的层次框架，用于生成十四行诗，不需要训练。该框架包括内容规划模块、韵脚模块和润色模块，并设计了受约束的解码算法以实现生成的十四行诗的韵律和韵脚约束。自动和人工评估表明，该框架比几个强基线更具连贯性、诗意和创造性。