xingxingzhang / rnnpg Goto Github PK
View Code? Open in Web Editor NEWCode for Chinese Poetry Generation with Recurrent Neural Networks (EMNLP 2014)
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zuxfoucault mingstar jiunnguo zhaochaocs mrhungry markwu chagge lsq357 zhengwsh guker zshwuhan pursueorigin zhujiahui liukaizhijia yiming258 tothemoon96 kathyuanxing zjuajw szhaomsft yiqinggit yuye2133 shizhediao wangtingc teeger haisongzhang fengchangfight gongxijun gitsamshi xiangyuwei lionheart369 misoknisky ethan999 ningyanzhu chengniu fancycheung mingdongcheng tenzindj caoyuji1986 nick-2008 curtainwang daijiu as953060314 yelban yixf-self woooodbond gystar catlin735rnnpg's Issues
关于数据和模型的几个问题想请教
一是，候选诗句生成时使用的RNN的训练数据是与CSM它们相同的数据吗？
二是，训练数据中的"<R>"所表示的汉字是什么意思？
三是，RGM的输入之一是本句中前面已经生成的字的列表，这个是根据RGM输出中选取概率最大的一个字加入到列表中吗？
四是，所有的模块是一同训练的吗？还是各自训练好了再连接起来？
如果可以给予提示的话十分感谢
1: Are the train_data files for the candidates generator and CSM part different?
2: What does the "<R>" mean in the train_data? Which Chinese Charactor does it represent?
3: One of the input of RGM is the list of the generated words. So is the new word choosen as the biggest probability one from the RGM output?
4: Are all parts trained together? Or one by one?
It will be appreciated if you could gvie some tips about these. Thank you!
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