We hypothesize that MRS is particularly well-suited for text generation, as it is explicitly compositional, capturing the contribution to sentence meaning of all parts of the surface form (Bender et al., 2015).
semantic representations such as Abstract Meaning Representation (AMR; Banarescu et al., 2013) seek to abstract away from the syntax of a sentence as much as possible.