Date |
People |
Last Week |
This Week
|
2017/1/3
|
Yang Feng |
- nmt+mn: tried to improve the nmt baseline;
- met with problems for baseline, rulling out the factor of output order and file format and got the reason of learning rate.
- read the code of Andy's;
- wrote the code for bleu evaluation;
- managed to fix the code of nmt+mn;
- ran experiments [report]
|
|
Jiyuan Zhang |
- improved speed of prediction process
- ran expriments:
two sytles expriments of top1_memory_model
overfitting expriments of top1_memory_model
two styles expriments of average_memory_model
overfitting expirments of average_memory_model
|
|
Andi Zhang |
- helped Jiyuan dealing with poem questionnaires
|
- continue this work, may start collecting feedback if all questionnaires are filled out
|
Shiyue Zhang |
- finished running theano baseline
- read and understood the beam search in theano baseline
- started to write the Dynet Chinese Document
- started to implement beam search to tensorflow baseline
|
- finished the beam search implementation
- go on with Dynet Chinese Document
|
Guli |
- run nmt with monolingual data
- bleu computation
- learn about tensorflow
|
- improve my paper
- analyze experiment results
|
Peilun Xiao |
- learned tf-idf algorithm
- coded tf-idf alogrithm in python,but found it not worked well
- tried to use small dataset to test the program
|
- use sklearn tfidf to test the dataset
|