NLP Status Report 2016-12-05

Date	People	Last Week	This Week
2016/12/05	Yang Feng	rnng+MN: got the result of k-means method and the result is slightly worse; fixed the bug; analyzed the memory units and changed the calculation of similarity and reran. S2S+MN: read the code and discuss with andy about the implementation details; checked Wikianswers data and found the answers are usually much longer than the question; read 12 QA-related papers in proceedings of ACL16 and EMNLP16 and haven't found proper dataset yet. Huilan's work: got a version of better result focusing on syntactical transformation.	rnng+MN: get the result with new similarity calculation. S2S+MN: revise the code of tensorflow to make it equivalent to theano's. poetry: review the code of Jiyuan Huilan's work: continue the work of adding syntactic information.
	Jiyuan Zhang	restructured code found the cause of cost randomness modified memory weight,ran expriment 言情风格边塞风格 read a paper simply expain my code to Miss Feng discussed with liantian about the way of using tensorflow to realize his idea	improve poem model
	Andi Zhang	deal with zh2en data set and ran them on NTM had a small breakthrough about the code	get output of encoder to form memory continue on the coding work of seq2seq with MemN2N
	Shiyue Zhang	found a bug in my code and modified it. tried memory with gate and found a big problem of memory. reran previous models, the results are not better than baseline. [report] reran the original model setting same seed, and got exactly same result. published a TRP [1]	try to solve the problem of mem
	Guli	preparing more data set working on add translate module to code writing a survey about Chinese-uyghur MT	prepare more data prepare for Thesis Report