1. Paper title
Automatic Poetry Generation from Prosaic Text
2. link
https://www.aclweb.org/anthology/2020.acl-main.223.pdf
3. 摘要
In the last few years, a number of successful approaches have emerged that are able to adequately model various aspects of natural language. In particular, language models based on neural networks have improved the state of the art with regard to predictive language modeling, while topic models are successful at capturing clear-cut, semantic dimensions. In this paper, we explore how these approaches can be adapted and combined to model the linguistic and literary aspects needed for poetry generation. The system is exclusively trained on standard, non-poetic text, and its output is constrained in order to confer a poetic character to the generated verse. The framework is applied to the generation of poems in both English and French, and is equally evaluated for both languages. Even though it only uses standard, non-poetic text as input, the system yields state of the art results for poetry generation.
4. 要解决什么问题
5. 作者的主要贡献
将语言模型、topic模型用于生成诗。
6. 得到了什么结果
生成英语诗和法语诗，得到SOTA的结果。