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An Incremental Parser for Abstract Meaning Representation

Conference of the European Chapter of the Association for Computational Linguistics (EACL), 2016
Abstract

We describe an incremental parser for mapping input text into Abstract Meaning Representation (AMR) graphs. Our parser is based on a transition system for dependency parsing, and allows to incrementally parse the sentence into an AMR graph, if all other components that are needed by the parser (such as the part-of-speech tagger and the dependency parser) are incremental as well. We show that our parser has an advantage over state-of-the-art AMR parsers on several metrics.

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