“A第二十九章 AI诗人”版本间的差异

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高级读者
 
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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]
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*百度百科:诗歌 [https://baike.baidu.com/item/%E8%AF%97%E6%AD%8C/5555]
*[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 百度百科:绝句律诗的格律]
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*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]
*[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 AI100问:AI如何成为诗人]
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*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://ojs.aaai.org/index.php/AAAI/article/view/12001/11860 How images inspire poems: Generating classical chinese poetry from images with memory networks (以画入诗原文)]
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*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]
*[https://baike.baidu.com/item/%E8%AF%97%E5%AD%A6%E5%90%AB%E8%8B%B1/4888951?fr=aladdin 百度百科:诗学含英]
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*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]
*[http://xh.5156edu.com/page/z7550m1720j20012.html 《笠翁对韵》全文阅读]
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*《笠翁对韵》全文阅读 [http://xh.5156edu.com/page/z7550m1720j20012.html]
  
 
==高级读者==
 
==高级读者==
*[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)]
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*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://aclanthology.org/C08-1048.pdf Generating Chinese couplets using a statistical MT approach(概率法)]
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*概率法:[https://aclanthology.org/C08-1048.pdf Generating Chinese couplets using a statistical MT approach]
*[https://aclanthology.org/D14-1074.pdf Chinese poetry generation with recurrent neural networks(神经网络法)]
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*神经网络法:[https://aclanthology.org/D14-1074.pdf Chinese poetry generation with recurrent neural networks]
*[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)]
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*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]
*[https://arxiv.org/pdf/1705.03773.pdf Flexible and Creative Chinese Poetry Generation Using Neural Memory(灵活创新性诗歌生)]
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*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]
*[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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*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]
  
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==链接==
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*2011年非神经网络诗人 [http://tssc.sinaapp.com/ ]
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*诗三百人工智能诗人 [https://www.aichpoem.net/#/shisanbai/poem]
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*微软小冰 [http://www.xiaoice.com/]
  
 
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==开发者资源==
==链接==
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*中国诗歌数据库 [https://github.com/chinese-poetry/chinese-poetry]
*[http://tssc.sinaapp.com/ 2011年非神经网络诗人]
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*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 ]
*[https://www.aichpoem.net/#/shisanbai/poem 诗三百人工智能诗人]
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*[http://www.xiaoice.com/ 微软小冰]
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2022年7月17日 (日) 09:51的最后版本

课堂资料

扩展阅读

高级读者

链接

  • 2011年非神经网络诗人 [6]
  • 诗三百人工智能诗人 [7]
  • 微软小冰 [8]

开发者资源

  • 中国诗歌数据库 [9]
  • Pytorch book中一个简单的RNN-CHAR生成古诗的github代码库 [10]