PoetryDiffusion: Towards Joint Semantic and Metrical Manipulation in Poetry Generation

Understand

Controllable text generation is a challenging and meaningful field in natural language generation (NLG).

• Especially, poetry generation is a typical one with well-defined and strict conditions for text generation which is an ideal playground for the assessment of current methodologies.
• While prior works succeeded in controlling either semantic or metrical aspects of poetry generation, simultaneously addressing both remains a challenge.
• In this paper, we pioneer the use of the Diffusion model for generating sonnets and Chinese SongCi poetry to tackle such challenges.