“A第二十九章 AI诗人”版本间的差异
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==扩展阅读== | ==扩展阅读== | ||
| − | *[https://baike.baidu.com/item/%E8%AF%97%E6%AD%8C/5555 | + | *百度百科：诗歌 [https://baike.baidu.com/item/%E8%AF%97%E6%AD%8C/5555] |
| − | *[http://166.111.134.44:7777/caiyq/ai100/pdf/AI-100-70-%E6%9C%BA%E5%99%A8%E5%A6%82%E4%BD%95%E6%88%90%E4%B8%BA%E8%AF%97%E4%BA%BA.pdf | + | *百度百科：绝句律诗的格律 [https://baike.baidu.com/item/%E7%BB%9D%E5%8F%A5%E5%BE%8B%E8%AF%97%E6%A0%BC%E5%BE%8B/4503398?fr=aladdin] |
| − | *[https://ojs.aaai.org/index.php/AAAI/article/view/12001/11860 How images inspire poems: Generating classical chinese poetry from images with memory networks] | + | *AI100问：AI如何成为诗人 [http://166.111.134.44:7777/caiyq/ai100/pdf/AI-100-70-%E6%9C%BA%E5%99%A8%E5%A6%82%E4%BD%95%E6%88%90%E4%B8%BA%E8%AF%97%E4%BA%BA.pdf] |
| − | *[https://baike.baidu.com/item/%E8%AF%97%E5%AD%A6%E5%90%AB%E8%8B%B1/4888951?fr=aladdin | + | *以画入诗原文：[https://ojs.aaai.org/index.php/AAAI/article/view/12001/11860 How images inspire poems: Generating classical chinese poetry from images with memory networks] |
| − | *[http://xh.5156edu.com/page/z7550m1720j20012.html | + | *百度百科：诗学含英 [https://baike.baidu.com/item/%E8%AF%97%E5%AD%A6%E5%90%AB%E8%8B%B1/4888951?fr=aladdin] |
| + | *《笠翁对韵》全文阅读 [http://xh.5156edu.com/page/z7550m1720j20012.html] | ||
==高级读者== | ==高级读者== | ||
| − | *[https://arxiv.org/pdf/1604.06274.pdf Chinese song iambics generation with neural attention-based model] | + | *拼凑法：[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] |
| − | *[https://arxiv.org/pdf/1705.03773.pdf Flexible and Creative Chinese Poetry Generation Using Neural Memory] | + | *概率法：[https://aclanthology.org/C08-1048.pdf Generating Chinese couplets using a statistical MT approach] |
| − | *[https://arxiv.org/pdf/1606.05829.pdf Can Machine Generate Traditional Chinese Poetry? A Feigenbaum Test] | + | *神经网络法：[https://aclanthology.org/D14-1074.pdf Chinese poetry generation with recurrent neural networks] |
| − | + | *宋词的神经网络生成：[https://arxiv.org/pdf/1604.06274.pdf Chinese song iambics generation with neural attention-based model] | |
| + | *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] | ||
==链接== | ==链接== | ||
| − | *[http://tssc.sinaapp.com/ | + | *2011年非神经网络诗人 [http://tssc.sinaapp.com/ ] |
| − | *[https://www.aichpoem.net/#/shisanbai/poem | + | *诗三百人工智能诗人 [https://www.aichpoem.net/#/shisanbai/poem] |
| − | *[http://www.xiaoice.com/ | + | *微软小冰 [http://www.xiaoice.com/] |
| + | |||
| + | ==开发者资源== | ||
| + | *中国诗歌数据库 [https://github.com/chinese-poetry/chinese-poetry] | ||
| + | *Pytorch book中一个简单的RNN-CHAR生成古诗的github代码库 [https://github.com/chenyuntc/pytorch-book/tree/master/chapter09-neural_poet_RNN ] | ||
2022年7月17日 (日) 09:51的最后版本
课堂资料
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
