“NLP Status Report 2017-7-10”版本间的差异

2017年7月10日 (一) 04:53的版本

Date	People	Last Week	This Week
2017/7/3	Jiyuan Zhang	reproduced the couplet model using moses	continue to modify the couplet
	Aodong LI	Tried a seq2seq with style code model but it didn't work. Coding attention-based seq2seq NMT in shallow fusion with a language model.	Complete coding and have a try. Find more monolingual corpus and upgrade the model.
	Shiyue Zhang
	Shipan Ren	read and run ViVi_NMT code read the API of tensorflow debugged ViVi_NMT and upgraded code version to tensorflow1.0 found the new version saves more time，has lower complexity and better bleu than before	test two versions of the code on small data sets (Chinese-English) and large data sets (Chinese-English) respectively test two versions of the code on WMT 2014 English-to-German parallel dataset and WMT 2014 English-French dataset respectively record experimental results read paper and try to make the bleu become a little better

@@ 第9行： / 第9行： @@
 |-
 |Aodong LI ||
-* Tried seq2seq with or without attention model to do style transfer (cross domain) task but this didn't work due to overfitting
+* Tried a seq2seq with style code model but it didn't work.
-  seq2seq with attention model: Chinese-to-English
+* Coding attention-based seq2seq NMT in shallow fusion with a language model.
-  vanilla seq2seq model: English-to-English (Unsupervised)
-* Read two style controlled papers in generative model field
-* Trained seq2seq with style code model
 ||
-* Understand the model and mechanism mentioned in the two related papers
+* Complete coding and have a try.
-* Figure out new ways to do style transfer task
+* Find more monolingual corpus and upgrade the model.
 |-
 |Shiyue Zhang ||