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Orange @ UMR Parsing Shared Task

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

DOI:10.63317/2hztcweytj89

Abstract

Uniform Meaning Representation (UMR) is a novel meaning representation formalism emanating from Abstract Meaning Representation (AMR). Since it is more complex than AMR, including document level annotation it is more difficult to create a parsing pipeline which can predict an UMR document from a set of consecutive sentences. The UMR Parsing Shared Task was created to compare different approaches. We decided to use a 2-step approach to predict sentence level and document level annotation. Since the available data was limited, we opted for a multilingual model, even though unlike AMR, in UMR the concepts of the meaning graph are not drawn from a single source, but from language dependend resources. Our final score was 19.35%, 0.08 points behind the best participant (19.43%).

Details

Paper ID
lrec2026-ws-dmr-13
Pages
pp. 148-154
BibKey
heinecke-etal-2026-orange
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

  • JH

    Johannes Heinecke

  • MA

    Munshi Asadullah

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