Parsing English into Abstract Meaning Representation Using Syntax-Based Machine Translation
Michael Pust, Ulf Hermjakob, Kevin Knight, Daniel Marcu, Jonathan May. EMNLP 2015
We present a parser for Abstract Meaning Representation (AMR). We treat Englishto-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 significantly improves upon state-of-the-art results.