NLP Status Report 2016-11-28

Date	People	Last Week	This Week
2016/11/28	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. sequence-to-sequence+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 QA-related papers in proceedings of ACL and EMNLP 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. revise the code of tensorflow to make it equivalent to theano's. review the code of Jiyuan Huilan's work: continue the work of adding syntactic information.
	Jiyuan Zhang	read three related paper to find some ideas neural turing machine A Neural Algorithm of Artistic Style Generating Long and Diverse Responses with Neural Conversation Models polished TRP [1]	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 [2]	try to solve the problem of mem
	Guli	busy on nothing for the first two days of the week. modify the code and run NMT on fr-en data set modify the code and run NMT on ch-uy data set writing a survey about Chinese-uyghur MT