Semantic Parsing with Semi-Supervised Sequential Autoencoders
  We present a novel semi-supervised approach for sequence transduction and apply it to semantic parsing. The unsupervised component is based on a generative model in which latent sentences generate the unpaired logical forms. We apply this method to a number of semantic parsing tasks focusing on domains with limited access to labelled training data and extend those datasets with synthetically generated logical forms. 
Tom\'a\v{s} Ko\v{c}isk\'y and G\'abor Melis and Edward Grefenstette   and Chris Dyer and Wang Ling and Phil Blunsom and Karl...
cs.CL cs.AI cs.NE