|
|
| 第15行： |
第15行： |
| | |Jiyuan Zhang || | | |Jiyuan Zhang || |
| | *coded tone_model,but had some trouble | | *coded tone_model,but had some trouble |
| − | *run global_attention_model that decodes four sentences, [http://cslt.riit.tsinghua.edu.cn/mediawiki/images/d/d5/Four_local_atten.pdf four][ five]generated by local_attention model | + | *run global_attention_model that decodes four sentences, [http://cslt.riit.tsinghua.edu.cn/mediawiki/images/d/d5/Four_local_atten.pdf four][http://cslt.riit.tsinghua.edu.cn/mediawiki/images/0/05/Five_local_attention.pdf five]generated by local_attention model |
| | || | | || |
| | *improve poem model | | *improve poem model |
| 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 |
- Read a paper about document classification wiht GMM distributions of word vecotrs and try to code it in python
- Use LDA to reduce the dimension of the text in r52、r8 and contrast the performance of classification
|
- Use LDA to reduce the dimension of the text in 20news and webkb
|
