“NLP Status Report 2016-11-21”版本间的差异

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| rowspan="5"|2016/11/21
 
| rowspan="5"|2016/11/21
 
|Yang Feng ||
 
|Yang Feng ||
  rnng+mn
+
*rnng+mn
*ran experiments of rnng+mn [[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/f/f8/Progress_of_RNNG_with_memory_network.pdf report]]  
+
-ran experiments of rnng+mn [[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/f/f8/Progress_of_RNNG_with_memory_network.pdf report]] \\
*used top-k for memory, under training
+
-used top-k for memory, under training
  sequence-to-sequence + mn
+
*sequence-to-sequence + mn
 
* wrote the proposal  
 
* wrote the proposal  
 
* discussed the details of Andy
 
* discussed the details of Andy
  Intern interview
+
*intern interview
  Huilan's work
+
*Huilan's work
 
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2016年11月21日 (一) 01:13的版本

Date People Last Week This Week
2016/11/21 Yang Feng
  • rnng+mn

-ran experiments of rnng+mn [report] \\ -used top-k for memory, under training

  • sequence-to-sequence + mn
  • wrote the proposal
  • discussed the details of Andy
  • intern interview
  • Huilan's work
Jiyuan Zhang
  • ran decoder-memory model, but the effect is not obvious
  • changed binding way of memory and atten models, can generate different style of poetry
  • cleanned up our code
  • wrote a techreport about poemGen
  • submitted two databases about poemGen and musicGen
  • explored a variety of binding ways of memory and atten model
Andi Zhang
  • prepare new data set for paraphrase, wiped out repetition & most of the noises
  • run NMT on fr-en data set and new paraphrase set
  • read through source code to find ways to modify it
  • helped Guli with running NMT on our server
  • decide to drop theano or not
  • start to work on codes
Shiyue Zhang
  • run rnng on MKL successfully, which can double or triple the speed.
  • rerun the original model and get the final result 92.32
  • rerun the wrong memory models, still running
  • implement the dynamic memory model and get the result 92.54 which is 0.22 better than baseline
  • try another structure of memory
  • try more different models and summary the results
  • publish the technical reports
Guli