“NLP Status Report 2017-1-3”版本间的差异

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第2行： 第2行：
 
!Date !! People !! Last Week !! This Week
 
!Date !! People !! Last Week !! This Week
 
|-
 
|-
−
| rowspan="6"|2016/12/26
+
| rowspan="6"|2017/1/3
 
|Yang Feng ||
 
|Yang Feng ||
 
*[[nmt+mn:]] tried to improve the nmt baseline;
 
*[[nmt+mn:]] tried to improve the nmt baseline;
 +
*met with problems for baseline, rulling out the factor of output order and file format and got the reason of learning rate.
 
*read the code of Andy's;
 
*read the code of Andy's;
 
*wrote the code for bleu evaluation;
 
*wrote the code for bleu evaluation;
−
*finished the code of nmt+mn;
+
*managed to fix the code of nmt+mn;
−
*ran experiments;
+
*ran experiments [[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/5/50/Nmt_mn_report.pdf report]]
 
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*[[nmt+mn:]] do further experiments.
 
*[[nmt+mn:]] do further experiments.
第39行： 第40行：
 
|Guli ||
 
|Guli ||
 
* run nmt with monolingual data
 
* run nmt with monolingual data
−
* learn about tensorflow
+
* bleu computation
−
* read papers  
+
* learn about tensorflow   
 
||
 
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* improve my paper
 
* improve my paper

2017年1月3日 (二) 07:02的最后版本

Date People Last Week This Week
2017/1/3 Yang Feng
  • nmt+mn: tried to improve the nmt baseline;
  • met with problems for baseline, rulling out the factor of output order and file format and got the reason of learning rate.
  • read the code of Andy's;
  • wrote the code for bleu evaluation;
  • managed to fix the code of nmt+mn;
  • ran experiments [report]
Jiyuan Zhang
  • improved speed of prediction process
  • ran expriments:

two sytles expriments of top1_memory_model
overfitting expriments of top1_memory_model
two styles expriments of average_memory_model
overfitting expirments of average_memory_model

  • improve poem model
Andi Zhang
  • handed in previous codes to Mrs.Feng
  • help Jiyuan gather poems about tianyuan
  • help Jiyuan with his work
  • gather more poems
Shiyue Zhang
  • tried to improve rnng+mm model, but still failed [report]
  • stopped rnng work to help Teacher Feng with NMT
  • ran theano NMT code successfully, and found a problem of test
  • run and test the theano NMT model
  • try to modify tensorflow NMT model, run and test
Guli
  • run nmt with monolingual data
  • bleu computation
  • learn about tensorflow
  • improve my paper
  • analyze experiment results
Peilun Xiao
  • learned tf-idf algorithm
  • coded tf-idf alogrithm in python,but found it not worked well
  • tried to use small dataset to test the program
  • use sklearn tfidf to test the dataset
取自“http://index.cslt.org/mediawiki/index.php?title=NLP_Status_Report_2017-1-3&oldid=25275”