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|
| 第35行： |
第35行： |
| | |- | | |- |
| | |Shiyue Zhang || | | |Shiyue Zhang || |
| − | * found a bug in my code and modified it. | + | * draw tsne pictures [[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/2/2f/RNNG%2Bmm%E5%AE%9E%E9%AA%8C%E6%8A%A5%E5%91%8A.pdf report]] |
| − | * tried memory with gate and found a big problem of memory.
| + | * try a trained gate to switch between rnng and mem, which got a slightly better result. |
| − | * reran previous models, the results are not better than baseline. [[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/2/2f/RNNG%2Bmm%E5%AE%9E%E9%AA%8C%E6%8A%A5%E5%91%8A.pdf report]]
| + | |
| − | * reran the original model setting same seed, and got exactly same result. | + | |
| − | * published a TRP [http://cslt.riit.tsinghua.edu.cn/mediawiki/index.php/Publication-trp]
| + | |
| | || | | || |
| − | * try to solve the problem of mem | + | * |
| | |- | | |- |
| | |Guli || | | |Guli || |
| Date |
People |
Last Week |
This Week
|
| 2016/12/05
|
Yang Feng |
- rnng+MN: got the result of k-means method and the result is slightly worse;
- fixed the bug;
- analyzed the memory units and changed the calculation of similarity and reran.
- S2S+MN: read the code and discuss with andy about the implementation details;
- checked Wikianswers data and found the answers are usually much longer than the question;
- read 12 QA-related papers in proceedings of ACL16 and EMNLP16 and haven't found proper dataset yet.
- Huilan's work: got a version of better result focusing on syntactical transformation.
|
- rnng+MN: get the result with new similarity calculation.
- S2S+MN: revise the code of tensorflow to make it equivalent to theano's.
- poetry: review the code of Jiyuan
- Huilan's work: continue the work of adding syntactic information.
|
| Jiyuan Zhang |
- restructured code
- found the cause of cost randomness
- modified memory weight,ran expriment 言情风格边塞风格无风格
- read a paper[1]
- simply explain my code to Miss Feng
- discussed with liantian about the way of using tensorflow to realize his idea
|
|
| Andi Zhang |
- turn to focus on tensorflow codes
- finish code outputing encoder outputs but have some problems with format
|
- finish the part mentioned left
|
| Shiyue Zhang |
- draw tsne pictures [report]
- try a trained gate to switch between rnng and mem, which got a slightly better result.
|
|
| Guli |
- preparing more data set
- working on add translate module to code
- writing a survey about Chinese-uyghur MT
|
- prepare more data
- prepare for Thesis Report
|
