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CxGr-AMR: Extending Abstract Meaning Representation Beyond Lexically Anchored Relations with Constructional Rolesets

Proceedings of The Seventh International Workshop on Designing Meaning Representations (DMR 2026) @ LREC 2026

DOI:10.63317/2qet4tijyo2w

Abstract

Current Abstract Meaning Representation (AMR) annotation guidelines, which largely tie argument structure to lexical rolesets, systematically misrepresent cases in which key semantic roles stem from clause-level structure rather than the verb, leaving these meanings either unnaturally attached, incorrect, or unexpressed. To address this limitation, we present CxGr-AMR, a novel extension of AMR that captures the semantics of various types of phrasal constructions, including argument structure constructions. We first examine how such cases are handled under current Standard-AMR guidelines and show that these analyses are often inadequate when constructionally contributed roles clash with those assigned by the verb. We then provide a theoretical grounding for our CxGr-AMR rolesets that lay out the relationship between the syntactic signatures of constructional slots and particular semantic roles associated with them. Finally, we develop an annotation-expert-in-the-loop pipeline for the semi-automatic annotation of sentences, and release a dataset containing 355 instances of phrasal constructions annotated with both Standard and CxGr-AMR.

Details

Paper ID
lrec2026-ws-dmr-01
Pages
pp. 1-19
BibKey
bonial-etal-2026-cxgr
Editors
Jin Zhao, Claire Benet Post, Elizabeth Hoefer
Publisher
European Language Resources Association (ELRA)
ISSN
N/A
ISBN
N/A
Workshop
Proceedings of The Seventh International Workshop on Designing Meaning Representations (DMR 2026) @ LREC 2026
Location
Palma, Mallorca, Spain
Date
11 - 16 May 2026

Authors

  • CB

    Claire Bonial

  • CP

    Claire Benet Post

  • PV

    Paul Van Eecke

  • KB

    Katrien Beuls

  • HT

    Harish Tayyar Madabushi

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