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arXiv · 1903.11770

An Improved Approach for Semantic Graph Composition with CCG

Austin Blodgett·Nathan Schneider
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Abstract

This paper builds on previous work using Combinatory Categorial Grammar (CCG) to derive a transparent syntax-semantics interface for Abstract Meaning Representation (AMR) parsing. We define new semantics for the CCG combinators that is better suited to deriving AMR graphs. In particular, we define relation-wise alternatives for the application and composition combinators: these require that the two constituents being combined overlap in one AMR relation. We also provide a new semantics for type raising, which is necessary for certain constructions. Using these mechanisms, we suggest an analysis of eventive nouns, which present a challenge for deriving AMR graphs. Our theoretical analysis will facilitate future work on robust and transparent AMR parsing using CCG.

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Austin Blodgett, Nathan Schneider. 2019-04-10. An Improved Approach for Semantic Graph Composition with CCG. https://arxiv.org/abs/1903.11770

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