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Bonn, Julia; Cowell, Andrew; Hajic, Jan; Palmer, Alexis; Palmer, Martha; Pustejovsky, James; Sun, Haibo; Uresova, Zdenka; Wein, Shira; Xue, Nianwen; et al (, Proceedings of the 4th International Workshop on Designing Meaning Representations)Rooted in AMR, Uniform Meaning Representation (UMR) is a graph-based formalism with nodes as concepts and edges as relations between them. When used to represent natural language semantics, UMR maps words in a sentence to concepts in the UMR graph. Multiword expressions (MWEs) pose a particular challenge to UMR annotation because they deviate from the default one-to-one mapping between words and concepts. There are different types of MWEs which require different kinds of annotation that must be specified in guidelines. This paper discusses the specific treatment for each type of MWE in UMR.more » « less
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Bonn, Julia; Myers, Skatje; Van Gysel, Jens E.; Denk, Lukas; Vigus, Meagan; Zhao, Jin; Cowell, Andrew; Croft, William; Hajic, Jan; Martin, James H.; et al (, Proceedings of the 21st International Workshop on Treebanks and Linguistic Theories (TLT, GURT/SyntaxFest 2023))This paper presents detailed mappings between the structures used in Abstract Meaning Representation (AMR) and those used in Uniform Meaning Representation (UMR). These structures include general semantic roles, rolesets, and concepts that are largely shared between AMR and UMR, but with crucial differences. While UMR annotation of new low-resource languages is ongoing, AMR-annotated corpora already exist for many languages, and these AMR corpora are ripe for conversion to UMR format. Rather than focusing on semantic coverage that is new to UMR (which will likely need to be dealt with manually), this paper serves as a resource (with illustrated mappings) for users looking to understand the fine-grained adjustments that have been made to the representation techniques for semantic categories present in both AMR and UMR.more » « less
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