NLP Status Report 2017-1-3

Date	People	Last Week	This Week
2016/12/26	Yang Feng	s2smn: read six papers to fix the details of our model; wrote the proposal of lexical memory and discussed the details with Teach Wang; finished coding of only adding attention to the decoder and under debugging; refine Moses manual [manual] ; prepare the dictionary for the memory loading; Huilan: documentation	s2smn: run the ecperiments. rnng+mn: try to find the problem.
	Jiyuan Zhang	integrated tone_model to attention_model for insteading manul rule,but the effect wasn't good replacing　all_pz rule with half_pz token a classical Chinese as input,generated poem [1]	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
	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 3 papers [[2]] [[3]] [[4]] trying the joint training, which got a problem of optimization.	try the joint training read more papers and write a summary
	Guli	finished the first draft of the survey voice tagging	morpheme-based nmt improve nmt with monolingual data
	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