“NLP Status Report 2016-09-26”版本间的差异

来自cslt Wiki
跳转至： 导航、 搜索
 
（4位用户的7个中间修订版本未显示）
第6行： 第6行：
 
*prepared the phrasal check of Huilan
 
*prepared the phrasal check of Huilan
 
*prepared and discussed the main idea of next work
 
*prepared and discussed the main idea of next work
−
*learned Lua and Cuda and read the code of MemNN
+
*learned Lua and Torch and read the code of MemNN
 
*read the code of rnng
 
*read the code of rnng
 
||
 
||
−
*run the experiments of MN grammar
+
*modify the code to MN grammar and run the experiments
 
|-
 
|-
 
|Jiyuan Zhang ||
 
|Jiyuan Zhang ||
−
*completed the illustration of my part of book [[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/4/46/Deep_learning-zhang_jiyuan.pdf here]]
+
*ran two versions of the code that qixin gave me,the last version of the result is good
−
*read two papers about generation task [[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/c/c7/Automatic_poetry_composition_through_recurrent_neural_networks_with_iterative_polishing_schema.pdf here]] [[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/e/ed/Chinese_couplet_generation_with_neural_network_structures.pdf here]]
+
*perfected my poem's code
−
*checked  qixi’ newly code
+
*Results for all versions of the code[[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/7/72/Theme.pdf here]]
 
||
 
||
−
*generate the same level poem compared to qx’s
+
*perfect my code  according to up-to-date version of qixin's code
 
|-
 
|-
 
|Aodong Li ||  
 
|Aodong Li ||  
第27行： 第27行：
 
*installed torch
 
*installed torch
 
||
 
||
−
 
+
*try to fit the params of rnng into memn2n
 
|-
 
|-
 
|Shiyao Li ||
 
|Shiyao Li ||
−
*prepare for the paper sharing
+
 
−
*review the chapter 8 of the book written by Maoning Wang
+
−
*learn how to use cvs and how to write books using Latex
+
 
||
 
||
−
*complete the chapter 8-nonparametric model
+
 
−
*prepare to write Genetic Algorithm
+
 
|-
 
|-
 
|Shiyue Zhang ||  
 
|Shiyue Zhang ||  
−
*ran rnng code successfully
+
*ran rnng code successfully: the result of discriminative model is a bit better than original paper; the generative model has not fully trained, so the performance is worse.
 
||
 
||
 +
*get generative model f1 score
 +
*get the states of each timestep
 
|-
 
|-
 
|}
 
|}

2016年9月26日 (一) 06:18的最后版本

Date People Last Week This Week
2016/09/26 Yang Feng
  • prepared the phrasal check of Huilan
  • prepared and discussed the main idea of next work
  • learned Lua and Torch and read the code of MemNN
  • read the code of rnng
  • modify the code to MN grammar and run the experiments
Jiyuan Zhang
  • ran two versions of the code that qixin gave me,the last version of the result is good
  • perfected my poem's code
  • Results for all versions of the code[here]
  • perfect my code according to up-to-date version of qixin's code
Aodong Li
Andi Zhang
  • read the sorce code of MemN2N
  • installed torch
  • try to fit the params of rnng into memn2n
Shiyao Li
Shiyue Zhang
  • ran rnng code successfully: the result of discriminative model is a bit better than original paper; the generative model has not fully trained, so the performance is worse.
  • get generative model f1 score
  • get the states of each timestep
取自“http://index.cslt.org/mediawiki/index.php?title=NLP_Status_Report_2016-09-26&oldid=22827”