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

Revision as of 06:25, 19 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	tried to modify the wrong softmax, but abandoned at last added bleu scoring part	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	Read a paper about document classification wiht GMM distributions of word vecotrs and try to code it in python Use LDA to reduce the dimension of the text in r52、r8 and contrast the performance of classification	Use LDA to reduce the dimension of the text in 20news and webkb

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 |Jiyuan Zhang ||
 *coded tone_model,but had some trouble
-*run global_attention_model that decodes four sentences, [http://cslt.riit.tsinghua.edu.cn/mediawiki/images/d/d5/Four_local_atten.pdf four][ five]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