| 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
|
