(2011), which in turn was inspired by a series of previous techniques (Lu et al., 2008;Liang et al., 2009; following the idea of constructing correspondences between NL and MR in a single probabilistic generative framework.
their approach automatically constructs a PCFG that generates NL sentences from MRs, which indicates how atomic MR constituents are probabilistically related to NL words.