Recently, neural network based approaches (Dong and Lapata, 2016;Jia and Liang, 2016;Xiao et al., 2016;Guu et al., 2017;Dong et al., 2018) have achieved promising performance in semantic parsing.
neural network approaches are data hungry, which performances closely correlate with the volume of training data.