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        <title>An Improved Approach for Semantic Graph Composition with CCG</title>
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        <namePart type="given">Austin</namePart>
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            <namePart type="given">Simon</namePart>
            <namePart type="family">Dobnik</namePart>
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        <name type="personal">
            <namePart type="given">Stergios</namePart>
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            <namePart type="given">Vera</namePart>
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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.</abstract>
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    <identifier type="doi">10.18653/v1/W19-0405</identifier>
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%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

Markdown (Informal)

[An Improved Approach for Semantic Graph Composition with CCG](https://aclanthology.org/W19-0405) (Blodgett & Schneider, IWCS 2019)

• An Improved Approach for Semantic Graph Composition with CCG (Blodgett & Schneider, IWCS 2019)

ACL

• Austin Blodgett and Nathan Schneider. 2019. An Improved Approach for Semantic Graph Composition with CCG. In Proceedings of the 13th International Conference on Computational Semantics - Long Papers, pages 55–70, Gothenburg, Sweden. Association for Computational Linguistics.