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第44行: |
第44行: |
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| |Peilun Xiao || | | |Peilun Xiao || |
− | *use LDA to generate 10-500 dimension document vector in the rest datasets | + | *learned tf-idf algorithm |
− | *write a python code about a new algorithm about tf-idf | + | *coded tf-idf alogrithm in python,but found it not worked well |
| + | *tried to use small dataset to test the program |
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− | *debug the code | + | *use sklearn tfidf to test the dataset |
| |} | | |} |
Date |
People |
Last Week |
This Week
|
2016/12/26
|
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 |
- coded to output encoder outputs and correspoding source & target sentences(ids in dictionaries)
- coded a script for bleu scoring, which tests the five checkpoints auto created by training process and save the one with best performance
|
|
Shiyue Zhang |
- tried to add true action info when training gate, which got better results than no true actions, but still not very good.
- tried different scale vectors, and found setting >=-5000 is good
- tried to change cos to only inner product, and inner product is better than cos.
- [report]
- read a paper [[1]]
- trying the joint training, which got a problem of optimization.
|
- try the joint training
- read more papers [[2]] [[3]]
|
Guli |
- read papers about Transfer learning and solving OOV
- conducted comparative test
- writing survey
|
- complete the first draft of the survey
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Peilun Xiao |
- learned tf-idf algorithm
- coded tf-idf alogrithm in python,but found it not worked well
- tried to use small dataset to test the program
|
- use sklearn tfidf to test the dataset
|