Date of Original Version

6-2014

Type

Conference Proceeding

Journal Title

Proceedings of the Annual Meeting of the Association for Computational Linguistics

First Page

1426

Last Page

1436

Rights Management

Copyright 2014 Association for Computational Linguistics

Abstract or Description

Abstract Meaning Representation (AMR) is a semantic formalism for which a growing set of annotated examples is available. We introduce the first approach to parse sentences into this representation, providing a strong baseline for future improvement. The method is based on a novel algorithm for finding a maximum spanning, connected subgraph, embedded within a Lagrangian relaxation of an optimization problem that imposes linguistically inspired constraints. Our approach is described in the general framework of structured prediction, allowing future incorporation of additional features and constraints, and may extend to other formalisms as well.

Our open-source system, JAMR, is available at: http://github.com/jflanigan/jamr

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Published In

Proceedings of the Annual Meeting of the Association for Computational Linguistics, 1426-1436.