Recently, NL generation models have been proposed to automatically construct humanreadable descriptions from MRs, for code summarization (Hu et al., 2018;Allamanis et al., 2016;Iyer et al., 2016) that predicts the function of code snippets, and for AMR-to-text generation (Song et al., 2018;Konstas et al., 2017;Flanigan et al., 2016).
a common objective that semantic parsers aim to estimate is p θ (y|x), the conditional distribution between NL input x and the corresponding MR output y, as demonstrated in Fig.