  We present a parser for Abstract Meaning Representation (AMR). We treat
English-to-AMR conversion within the framework of string-to-tree, syntax-based
machine translation (SBMT). To make this work, we transform the AMR structure
into a form suitable for the mechanics of SBMT and useful for modeling. We
introduce an AMR-specific language model and add data and features drawn from
semantic resources. Our resulting AMR parser improves upon state-of-the-art
results by 7 Smatch points.
