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
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.