“NLP Status Report 2016-12-05”版本间的差异

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| rowspan="5"|2016/12/05
 
| rowspan="5"|2016/12/05
 
|Yang Feng ||
 
|Yang Feng ||
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*[[rnng+MN:]] got the result of k-means method and the result is slightly worse;
+
*[[S2S+MN:]] survey another 6 papers (18 papers in total) for data set selection;
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*fixed the bug;  
+
*read the code with tensorflow deeply;  
−
*analyzed the memory units and changed the calculation of similarity and reran.
+
*wrote the mannual for the tensorflow version of s2s [undergoing];
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*[[S2S+MN:]] read the code and discuss with andy about the implementation details;
+
*[[PoemGen]] discuss the implementation of Jiyuan;
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*checked Wikianswers data and found the answers are usually much longer than the question;  
+
*read Jiyuan's code;
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*read 12 QA-related papers in proceedings of ACL16 and EMNLP16 and haven't found proper dataset yet.
+
*[[Huilan's work:]] get the result of integrate syntactic information.
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*[[Huilan's work:]] got a version of better result focusing on syntactical transformation.
+
*[[Other]]: intern interview.
 
||
 
||
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*[[rnng+MN:]] get the result with new similarity calculation.
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*[[rnng+MN:]] do more attempt.
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*[[S2S+MN:]] revise the code of tensorflow to make it equivalent to theano's.
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*[[S2S+MN:]] complete the manual;
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*[[poetry:]] review the code of Jiyuan
+
*add MN;
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*[[Huilan's work:]] continue the work of adding syntactic information.  
+
*[[poetry:]] experiment design；
 +
*[[Huilan's work:]] come out with a system to submit.  
 
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|-
 
|Jiyuan Zhang ||
 
|Jiyuan Zhang ||
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*modified memory weight,ran expriment [http://cslt.riit.tsinghua.edu.cn/mediawiki/images/c/c9/Yanqing-weight%282.0%29.pdf 言情风格][http://cslt.riit.tsinghua.edu.cn/mediawiki/images/e/e4/Biansaishi-weight%282.0%29.pdf 边塞风格][http://cslt.riit.tsinghua.edu.cn/mediawiki/images/e/ec/Atten-model.pdf 无风格]
 
*modified memory weight,ran expriment [http://cslt.riit.tsinghua.edu.cn/mediawiki/images/c/c9/Yanqing-weight%282.0%29.pdf 言情风格][http://cslt.riit.tsinghua.edu.cn/mediawiki/images/e/e4/Biansaishi-weight%282.0%29.pdf 边塞风格][http://cslt.riit.tsinghua.edu.cn/mediawiki/images/e/ec/Atten-model.pdf 无风格]
 
*read a paper[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/1/1e/1610.09889v1.pdf]
 
*read a paper[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/1/1e/1610.09889v1.pdf]
−
*simply expain my code to Miss Feng
+
*simply explain my code to Professor Feng
 
*discussed with liantian about the way of using tensorflow to realize his idea
 
*discussed with liantian about the way of using tensorflow to realize his idea
 
||  
 
||  
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|-
 
|-
 
|Shiyue Zhang ||  
 
|Shiyue Zhang ||  
−
* found a bug in my code and modified it.
+
* draw tsne pictures  [[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/2/2f/RNNG%2Bmm%E5%AE%9E%E9%AA%8C%E6%8A%A5%E5%91%8A.pdf report]]
−
* tried memory with gate and found a big problem of memory.
+
* try a trained gate to switch between rnng and mem, which got a slightly better result.  
−
* reran previous models, the results are not better than baseline. [[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/2/2f/RNNG%2Bmm%E5%AE%9E%E9%AA%8C%E6%8A%A5%E5%91%8A.pdf report]]
+
−
* reran the original model setting same seed, and got exactly same result.
+
−
* published a TRP [http://cslt.riit.tsinghua.edu.cn/mediawiki/index.php/Publication-trp]
+
 
||
 
||
−
* try to solve the problem of mem
+
*  
 
|-
 
|-
 
|Guli ||
 
|Guli ||

2016年12月5日 (一) 07:53的最后版本

Date People Last Week This Week
2016/12/05 Yang Feng
  • S2S+MN: survey another 6 papers (18 papers in total) for data set selection;
  • 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.
  • Other: intern interview.
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 Professor 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
取自“http://index.cslt.org/mediawiki/index.php?title=NLP_Status_Report_2016-12-05&oldid=24557”