“A第二十九章 AI诗人”版本间的差异
来自cslt Wiki
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==高级读者== | ==高级读者== | ||
| − | *[https://aclanthology.org/D14-1074.pdf Chinese poetry generation with recurrent neural | + | *[http://www.jos.org.cn/jos/article/pdf/3596?st=article_issue 一种宋词自动生成的遗传算法及其机器实现（拼凑法）] |
| − | *[https://arxiv.org/pdf/1604.06274.pdf Chinese song iambics generation with neural attention-based | + | *[https://aclanthology.org/C08-1048.pdf Generating Chinese couplets using a statistical MT approach（概率法）] |
| − | *[https://arxiv.org/pdf/1705.03773.pdf Flexible and Creative Chinese Poetry Generation Using Neural | + | *[https://aclanthology.org/D14-1074.pdf Chinese poetry generation with recurrent neural networks（神经网络法）] |
| − | *[https://arxiv.org/pdf/1606.05829.pdf Can Machine Generate Traditional Chinese Poetry? A Feigenbaum | + | *[https://arxiv.org/pdf/1604.06274.pdf Chinese song iambics generation with neural attention-based model（宋词的神经网络生成）] |
| − | + | *[https://arxiv.org/pdf/1705.03773.pdf Flexible and Creative Chinese Poetry Generation Using Neural Memory（灵活创新性诗歌生）] | |
| + | *[https://arxiv.org/pdf/1606.05829.pdf Can Machine Generate Traditional Chinese Poetry? A Feigenbaum Test（清华大学CSLT AI诗人薇薇的程序实现）] | ||
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2022年7月17日 (日) 09:09的版本
课堂资料
扩展阅读
- 百度百科：诗歌
- 百度百科：绝句律诗的格律
- AI100问：AI如何成为诗人
- How images inspire poems: Generating classical chinese poetry from images with memory networks
- 百度百科：诗学含英
- 《笠翁对韵》全文阅读
高级读者
- 一种宋词自动生成的遗传算法及其机器实现（拼凑法）
- Generating Chinese couplets using a statistical MT approach（概率法）
- Chinese poetry generation with recurrent neural networks（神经网络法）
- Chinese song iambics generation with neural attention-based model（宋词的神经网络生成）
- Flexible and Creative Chinese Poetry Generation Using Neural Memory（灵活创新性诗歌生）
- Can Machine Generate Traditional Chinese Poetry? A Feigenbaum Test（清华大学CSLT AI诗人薇薇的程序实现）
