“第二十九章 AI诗人”版本间的差异
来自cslt Wiki
| 第19行： | 第19行： | ||
*灵活创新性诗歌生成：[https://arxiv.org/pdf/1705.03773.pdf Flexible and Creative Chinese Poetry Generation Using Neural Memory] | *灵活创新性诗歌生成：[https://arxiv.org/pdf/1705.03773.pdf Flexible and Creative Chinese Poetry Generation Using Neural Memory] | ||
*清华大学CSLT AI诗人薇薇：[https://arxiv.org/pdf/1606.05829.pdf Can Machine Generate Traditional Chinese Poetry? A Feigenbaum Test] | *清华大学CSLT AI诗人薇薇：[https://arxiv.org/pdf/1606.05829.pdf Can Machine Generate Traditional Chinese Poetry? A Feigenbaum Test] | ||
| + | *图片流作诗：[https://dl.acm.org/doi/pdf/10.1145/3240508.3241910 Images2Poem : Generating Chinese Poetry from Image Streams] | ||
==链接== | ==链接== | ||
2022年7月17日 (日) 10:10的版本
教学资料
扩展阅读
- 百度百科：诗歌 [1]
- 百度百科：绝句律诗的格律 [2]
- AI100问：AI如何成为诗人 [3]
- 以画入诗原文：How images inspire poems: Generating classical chinese poetry from images with memory networks
- 百度百科：诗学含英 [4]
- 《笠翁对韵》全文阅读 [5]
高级读者
- 拼凑法：一种宋词自动生成的遗传算法及其机器实现
- 概率法：Generating Chinese couplets using a statistical MT approach
- 神经网络法：Chinese poetry generation with recurrent neural networks
- 宋词的神经网络生成：Chinese song iambics generation with neural attention-based model
- 灵活创新性诗歌生成：Flexible and Creative Chinese Poetry Generation Using Neural Memory
- 清华大学CSLT AI诗人薇薇：Can Machine Generate Traditional Chinese Poetry? A Feigenbaum Test
- 图片流作诗：Images2Poem : Generating Chinese Poetry from Image Streams
