“NLP Status Report 2017-7-3”版本间的差异

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第7行： 第7行：
 
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|Aodong LI ||
 
|Aodong LI ||
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* Tried seq2seq with or without attention model to do style transfer (cross domain) task but this didn't work due to overfitting
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  seq2seq with attention model: Chinese-to-English
 +
  vanilla seq2seq model: English-to-English (Unsupervised)
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* Read two style controlled papers in generative model field
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* Trained seq2seq with style code model
 
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* Understand the model and mechanism mentioned in the two related papers
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* Figure out new ways to do style transfer task
 
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|Shiyue Zhang ||  
 
|Shiyue Zhang ||  
第23行： 第28行：
 
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* test two versions of the code on small data sets (Chinese-English) and large data sets (Chinese-English) respectively
 
* test two versions of the code on small data sets (Chinese-English) and large data sets (Chinese-English) respectively
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* test two versions of the code on WMT 2014 English-to-German parallel data sets and WMT 2014 English-French dataset respectively
+
* test two versions of the code on WMT 2014 English-to-German parallel dataset and WMT 2014 English-French dataset respectively
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+
* record experimental results
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small data sets (Chinese-English) and large data sets (Chinese-English) respectively
+
* read paper and try to make the bleu become a little better
 
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2017年7月3日 (一) 04:07的最后版本

Date People Last Week This Week
2017/7/3 Jiyuan Zhang
Aodong LI
  • Tried seq2seq with or without attention model to do style transfer (cross domain) task but this didn't work due to overfitting 
 seq2seq with attention model: Chinese-to-English
 vanilla seq2seq model: English-to-English (Unsupervised)
  • Read two style controlled papers in generative model field
  • Trained seq2seq with style code model
  • Understand the model and mechanism mentioned in the two related papers
  • Figure out new ways to do style transfer task
Shiyue Zhang
Shipan Ren
  • read and run ViVi_NMT code
  • read the API of tensorflow
  • debugged ViVi_NMT and upgraded code version to tensorflow1.0
  • found the new version saves more time，has lower complexity and better bleu than before
  • test two versions of the code on small data sets (Chinese-English) and large data sets (Chinese-English) respectively
  • test two versions of the code on WMT 2014 English-to-German parallel dataset and WMT 2014 English-French dataset respectively
  • record experimental results
  • read paper and try to make the bleu become a little better
取自“http://index.cslt.org/mediawiki/index.php?title=NLP_Status_Report_2017-7-3&oldid=27795”