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arXiv · 1504.06665

Using Syntax-Based Machine Translation to Parse English into Abstract Meaning Representation

Michael Pust·Ulf Hermjakob·Kevin Knight·Daniel Marcu·Jonathan May
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Abstract

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.

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Michael Pust, Ulf Hermjakob, Kevin Knight, Daniel Marcu, Jonathan May. 2015-04-24. Using Syntax-Based Machine Translation to Parse English into Abstract Meaning Representation. https://arxiv.org/abs/1504.06665

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