Recently, there has been a surge in neural encoderdecoder techniques which are trained with input utterances and corresponding annotated output programs (Dong and Lapata, 2016;Jia and Liang, 2016).
the performance of these strongly supervised methods is restricted by the size and the diversity of training data i.e.