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| 第44行： |
第44行： |
| | |- | | |- |
| | |Peilun Xiao || | | |Peilun Xiao || |
| − | *Read a paper about document classification wiht GMM distributions of word vecotrs and try to code it in python
| + | *Use LDA to generate 10-500 dimension document vector in the rest datasets |
| − | *Use LDA to reduce the dimension of the text in r52、r8 and contrast the performance of classification | + | *Write a python code about a new algorithm about tf-idf |
| | || | | || |
| − | *Use LDA to reduce the dimension of the text in 20news and webkb | + | *Debug the code |
| | |} | | |} |
| Date |
People |
Last Week |
This Week
|
| 2016/12/19
|
Yang Feng |
- s2smn: wrote the manual of s2s with tensorflow [nmt-manual]
- wrote part of the code of mn.
- wrote the manual of Moses [moses-manual]
- Huilan: fixed the problem of syntax-based translation.
- sort out the system and corresponding documents.
|
|
| Jiyuan Zhang |
- coded tone_model,but had some trouble
- run global_attention_model that decodes four sentences, fourfivegenerated by local_attention model
|
|
| Andi Zhang |
- tried to modify the wrong softmax, but abandoned at last
- added bleu scoring part
|
|
| Shiyue Zhang |
- changed the one-hot vector to (0, -inf, -inf...), and retied the experiments. But no improvement showed.
- tried 1-dim gate, but converged to baseline
- tried to only train gate, but the best is taking all instance as "right"
- trying a model similar to attention
- [report]
|
- try to add true action info when training gate
- try different scale vectors
- try to change cos to only inner product
|
| Guli |
- read papers about Transfer learning and solving OOV
- conducted comparative test
- writing survey
|
- complete the first draft of the survey
|
| Peilun Xiao |
- Use LDA to generate 10-500 dimension document vector in the rest datasets
- Write a python code about a new algorithm about tf-idf
|
|
