Separating Argument Structure from Logical Structure in AMR

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    The AMR (Abstract Meaning Representation) formalism for representing meaning of natural language sentences puts emphasis on predicate-argument structure and was not designed to deal with scope and quantifiers. By extending AMR with indices for contexts and formulating constraints on these contexts, a formalism is derived that makes correct predictions for inferences involving negation and bound variables. The attractive core predicate-argument structure of AMR is preserved. The resulting framework is similar to the meaning representations of Discourse Representation Theory employed in the Parallel Meaning Bank.
    Original languageEnglish
    Title of host publicationProceedings of the Second International Workshop on Designing Meaning Representations
    EditorsNianwen Xue, Johan Bos, William Croft, Jan Hajič, Chu-Ren Huang, Stephen Oepen, Martha Palmer, James Pustejovsky
    PublisherAssociation for Computational Linguistics (ACL)
    Number of pages8
    Publication statusPublished - 2020

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