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| 第22行： |
第22行： |
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| | |Andi Zhang || | | |Andi Zhang || |
| − | *prepared a paraphrase data set that is enumerated from a previous one (ignoring words like "啊呀哈") | + | *tried to modify the wrong softmax, but abandoned at last |
| − | *worked on coding bidirectional model under tensorflow, met with NAN problem | + | *added bleu scoring part |
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| − | *ignore NAN problem for now, run it on the same data set used in Theano | + | *extract encoder outputs |
| | |- | | |- |
| | |Shiyue Zhang || | | |Shiyue Zhang || |
| 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.
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| Jiyuan Zhang |
- attempted to use memory model to improve the atten model of bad effect
- With the vernacular as the input，generated poem by local atten model[1]
- Modified working mechanism of memory model(top1 to average)
- help andi
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|
| Andi Zhang |
- tried to modify the wrong softmax, but abandoned at last
- added bleu scoring part
|
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| 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]
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- try to add true action info when training gate
- try different scale vectors
- try to change cos to only inner product
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| Guli |
- read papers about Transfer learning and solving OOV
- conducted comparative test
- writing survey
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- complete the first draft of the survey
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| 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
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- Use LDA to reduce the dimension of the text in 20news and webkb
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