%0 Conference Proceedings %T An Improved Approach for Semantic Graph Composition with CCG %A Blodgett, Austin %A Schneider, Nathan %Y Dobnik, Simon %Y Chatzikyriakidis, Stergios %Y Demberg, Vera %S Proceedings of the 13th International Conference on Computational Semantics - Long Papers %D 2019 %8 May %I Association for Computational Linguistics %C Gothenburg, Sweden %F blodgett-schneider-2019-improved %X 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. %R 10.18653/v1/W19-0405 %U https://aclanthology.org/W19-0405 %U https://doi.org/10.18653/v1/W19-0405 %P 55-70