We evaluate performance using the offical evaluation script for WEBQUESTIONSSP.
training neural networks for semantic parsing (Zelle and Mooney, 1996;Zettlemoyer and Collins, 2005;Liang et al., 2011) or program induction, where language is mapped to a sym-⇤ Work done while the author was interning at Google † Work done while the author was visiting Google x: Largest city in the US ⇒ y: NYC  Figure 1: The main challenges of training a semantic parser from weak supervision: (a) compositionality: we use variables (v0, v1, v2) to store execution results of intermediate generated programs.