“NLP Status Report 2016-11-28”版本间的差异

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*[[S2S+MN:]] read the code and discuss with andy about the implementation details;  
 
*[[S2S+MN:]] read the code and discuss with andy about the implementation details;  
 
*checked Wikianswers data and found the answers are usually much longer than the question;  
 
*checked Wikianswers data and found the answers are usually much longer than the question;  
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*read QA-related papers in proceedings of ACL and EMNLP and haven't found proper dataset yet.
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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:]] got a version of better result focusing on syntactical transformation.
 
*[[Huilan's work:]] got a version of better result focusing on syntactical transformation.
 
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*rnng+MN: get the result with new similarity calculation.
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*[[rnng+MN:]] get the result with new similarity calculation.
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*revise the code of tensorflow to make it equivalent to theano's.  
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*[[S2S+MN:]] revise the code of tensorflow to make it equivalent to theano's.  
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*review the code of Jiyuan
+
*[[poetry:]] review the code of Jiyuan
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*Huilan's work: continue the work of adding syntactic information.  
+
*[[Huilan's work:]] continue the work of adding syntactic information.  
 
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|Jiyuan Zhang ||
 
|Jiyuan Zhang ||

2016年11月29日 (二) 09:22的最后版本

Date People Last Week This Week
2016/11/28 Yang Feng
  • rnng+MN: got the result of k-means method and the result is slightly worse;
  • fixed the bug;
  • analyzed the memory units and changed the calculation of similarity and reran.
  • S2S+MN: read the code and discuss with andy about the implementation details;
  • checked Wikianswers data and found the answers are usually much longer than the question;
  • 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.
  • S2S+MN: revise the code of tensorflow to make it equivalent to theano's.
  • poetry: review the code of Jiyuan
  • Huilan's work: continue the work of adding syntactic information.
Jiyuan Zhang
  • polished TRP [1]
  • improve poem model
Andi Zhang
  • deal with zh2en data set and ran them on NTM
  • had a small breakthrough about the code
  • get output of encoder to form memory
  • continue on the coding work of seq2seq with MemN2N
Shiyue Zhang
  • found a bug in my code and modified it.
  • tried memory with gate and found a big problem of memory.
  • reran previous models, the results are not better than baseline. [report]
  • reran the original model setting same seed, and got exactly same result.
  • published a TRP [2]
  • try to solve the problem of mem
Guli
  • busy on nothing for the first two days of the week.
  • modify the code and run NMT on fr-en data set
  • modify the code and run NMT on ch-uy data set
  • writing a survey about Chinese-uyghur MT
取自“http://index.cslt.org/mediawiki/index.php?title=NLP_Status_Report_2016-11-28&oldid=24192”