Motivated by this similarity,<cite> Pourdamghani et al. (2016)</cite> proposed an AMR-to-text method that organises some of these concepts and edges in a flat representation, commonly known as Linearisation. Once the linearisation is complete,<cite> Pourdamghani et al. (2016)</cite> map the flat AMR into an English sentence using a Phrase-Based Machine Translation (PBMT) system.