On one hand, the AMR tree structure can be used directly with the TreeLSTM architecture described in Section 2, in which only node information is utilized to encode sentences into certain fixed-length embedding vectors.
since AMR provides rich information about semantic relations between nodes, the mTreeL-STM architecture is more applicable due to its capability of modeling edges in the tree.