Difference between revisions of "NLP Status Report 2016-12-05"

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| rowspan="5"|2016/12/05
 
| rowspan="5"|2016/12/05
 
|Yang Feng ||
 
|Yang Feng ||
*[[rnng+MN:]] got the result of k-means method and the result is slightly worse;
+
*[[S2S+MN:]] read the code with tensorflow deeply;  
*fixed the bug;
+
*wrote the mannual for the tensorflow version of s2s [undergoing];
*analyzed the memory units and changed the calculation of similarity and reran.
+
*[[PoemGen]] discuss the implementation of Jiyuan;
*[[S2S+MN:]] read the code and discuss with andy about the implementation details;
+
*read Jiyuan's code;
*checked Wikianswers data and found the answers are usually much longer than the question;  
+
*[[Huilan's work:]] get the result of integrate syntactic information.
*read 12 QA-related papers in proceedings of ACL16 and EMNLP16 and haven't found proper dataset yet.
+
*[[Huilan's work:]] got a version of better result focusing on syntactical transformation.
+
 
||
 
||
*[[rnng+MN:]] get the result with new similarity calculation.
+
*[[rnng+MN:]] do more attempt.
*[[S2S+MN:]] revise the code of tensorflow to make it equivalent to theano's.
+
*[[S2S+MN:]] complete the manual;
*[[poetry:]] review the code of Jiyuan
+
*add MN;
*[[Huilan's work:]] continue the work of adding syntactic information.  
+
*[[poetry:]] experiment design;
 +
*[[Huilan's work:]] come out with a system to submit.  
 
|-
 
|-
 
|Jiyuan Zhang ||
 
|Jiyuan Zhang ||

Revision as of 06:48, 5 December 2016

Date People Last Week This Week
2016/12/05 Yang Feng
  • S2S+MN: read the code with tensorflow deeply;
  • wrote the mannual for the tensorflow version of s2s [undergoing];
  • PoemGen discuss the implementation of Jiyuan;
  • read Jiyuan's code;
  • Huilan's work: get the result of integrate syntactic information.
Jiyuan Zhang
  • restructured code
  • found the cause of cost randomness
  • modified memory weight,ran expriment 言情风格边塞风格无风格
  • read a paper[1]
  • simply explain my code to Miss Feng
  • discussed with liantian about the way of using tensorflow to realize his idea
  • improve poem model
Andi Zhang
  • turn to focus on tensorflow codes
  • finish code outputing encoder outputs but have some problems with format
  • finish the part mentioned left
Shiyue Zhang
  • draw tsne pictures [report]
  • try a trained gate to switch between rnng and mem, which got a slightly better result.
Guli
  • preparing more data set
  • working on add translate module to code
  • writing a survey about Chinese-uyghur MT
  • prepare more data
  • prepare for Thesis Report