We can train with the following reconstruction loss for a particular b i : x∈{e,m,t} where p k is the k'th predicted distribution over records, and where we have modeled each component of r independently.
in the late 2000s and early 2010s, a number of systems were proposed that did both (Liang et al., 2009;Angeli et al., 2010;Kim and Mooney, 2010;Lu and Ng, 2011;Konstas and Lapata, 2013).