Difference between revisions of "NLP Status Report 2016-12-19"

Latest revision as of 00:58, 26 December 2016

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.	s2smn: finish the code of adding mn. Huilan: handover.
	Jiyuan Zhang	coded tone_model,but had some trouble run global_attention_model that decodes four sentences, four fivegenerated by local_attention model	improve poem 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	extract encoder outputs
	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]	try to add true action info when training gate try different scale vectors try to change cos to only inner product
	Guli	read papers about Transfer learning and solving OOV conducted comparative test writing survey	complete the first draft of the survey
	Peilun Xiao	use LDA to generate 10-500 dimension document vector in the rest datasets write a python code about a new algorithm about tf-idf	debug the code

@@ Line 15: / Line 15: @@
 |Jiyuan Zhang ||
 *coded tone_model,but had some trouble
-*run global_attention_model that decodes four sentences, generated by local_attention model
+*run global_attention_model that decodes four sentences, [http://cslt.riit.tsinghua.edu.cn/mediawiki/images/d/d5/Four_local_atten.pdf four][http://cslt.riit.tsinghua.edu.cn/mediawiki/images/0/05/Five_local_attention.pdf five]generated by local_attention model
 ||
 *improve poem model
 |-
 |Andi Zhang ||
-*tried to modify the wrong softmax, but abandoned at last
+*coded to output encoder outputs and correspoding source & target sentences(ids in dictionaries)
-*added bleu scoring part
+*coded a script for bleu scoring, which tests the five checkpoints auto created by training process and save the one with best performance
 ||
 *extract encoder outputs
@@ Line 44: / Line 44: @@
 |-
 |Peilun Xiao ||
-*Read a paper about document classification wiht GMM distributions of word vecotrs and try to code it in python
+*use LDA to generate 10-500 dimension document vector in the rest datasets
-*Use LDA to reduce the dimension of the text in r52、r8 and contrast the performance of classification
+*write a python code about a new algorithm about tf-idf
 ||
-*Use LDA to reduce the dimension of the text in 20news and webkb
+*debug the code
 |}