1 research outputs found
An Improved Approach for Semantic Graph Composition with CCG
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.Comment: IWCS 2019 Camera-read