“NLP Status Report 2017-5-22”版本间的差异

2017年5月23日 (二) 03:18的版本

Date	People	Last Week	This Week
2017/4/5	Jiyuan Zhang
	Aodong LI
	Shiyue Zhang	tried to not train embedding but use external word vectors most results of my attempts are bad, only 3-layer rnn + no dropout model got 25.54 bleu which about 2 points worse than original baseline trained original baseline on new data ( the data fixed the reverse sentence problem), got bleu=27.88; moses bleu=32.47	try more models to get similar results as original baseline on new data m-nmt model on new data
	Shipan Ren	learn the implement of seq2seq model read tf_translate code	understand the meaning of main code start writing documents

@@ 第19行： / 第19行： @@
 |-
 |Shipan Ren ||
+* learn the implement of seq2seq model
+* read tf_translate code
+||
+* understand the meaning of main code
+* start writing documents
+|-
 ||
 |}