Orange @ UMR Parsing Shared Task

Johannes Heinecke; Munshi Asadullah

doi:10.63317/2hztcweytj89

Orange @ UMR Parsing Shared Task

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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%).

Anthology ID:: 2026.dmr-1.13
Volume:: Proceedings of The Seventh International Workshop on Designing Meaning Representations (DMR 2026) @ LREC 2026
Month:: May
Year:: 2026
Address:: Palma, Mallorca (Spain)
Editors:: Jin Zhao, Claire Benet Post, Elizabeth Hoefer
Venues:: DMR | WS
SIG:
Publisher:: ELRA Language Resources Association (ELRA)
Note:
Pages:: 148–154
Language:
External URL:: https://lrec.elra.info/lrec2026-ws-dmr-13
DOI:: 10.63317/2hztcweytj89
Bibkey:
Cite (ACL):: Johannes Heinecke and Munshi Asadullah. 2026. Orange @ UMR Parsing Shared Task. In Proceedings of The Seventh International Workshop on Designing Meaning Representations (DMR 2026) @ LREC 2026, pages 148–154, Palma, Mallorca (Spain). ELRA Language Resources Association (ELRA).
Cite (Informal):: Orange @ UMR Parsing Shared Task (Heinecke & Asadullah, DMR 2026)
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@inproceedings{heinecke-asadullah-2026-orange,
    title = "Orange @ {UMR} Parsing Shared Task",
    author = "Heinecke, Johannes  and
      Asadullah, Munshi",
    editor = "Zhao, Jin  and
      Post, Claire Benet  and
      Hoefer, Elizabeth",
    booktitle = "Proceedings of The Seventh International Workshop on Designing Meaning Representations ({DMR} 2026) @ {LREC} 2026",
    month = may,
    year = "2026",
    address = "Palma, Mallorca (Spain)",
    publisher = "ELRA Language Resources Association (ELRA)",
    url = "https://aclanthology.org/2026.dmr-1.13/",
    doi = "10.63317/2hztcweytj89",
    pages = "148--154",
    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{\%})."
}

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%0 Conference Proceedings
%T Orange @ UMR Parsing Shared Task
%A Heinecke, Johannes
%A Asadullah, Munshi
%Y Zhao, Jin
%Y Post, Claire Benet
%Y Hoefer, Elizabeth
%S Proceedings of The Seventh International Workshop on Designing Meaning Representations (DMR 2026) @ LREC 2026
%D 2026
%8 May
%I ELRA Language Resources Association (ELRA)
%C Palma, Mallorca (Spain)
%F heinecke-asadullah-2026-orange
%X 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%).
%R 10.63317/2hztcweytj89
%U https://aclanthology.org/2026.dmr-1.13/
%U https://doi.org/10.63317/2hztcweytj89
%P 148-154

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Markdown (Informal)

[Orange @ UMR Parsing Shared Task](https://aclanthology.org/2026.dmr-1.13/) (Heinecke & Asadullah, DMR 2026)

Orange @ UMR Parsing Shared Task (Heinecke & Asadullah, DMR 2026)

ACL

Johannes Heinecke and Munshi Asadullah. 2026. Orange @ UMR Parsing Shared Task. In Proceedings of The Seventh International Workshop on Designing Meaning Representations (DMR 2026) @ LREC 2026, pages 148–154, Palma, Mallorca (Spain). ELRA Language Resources Association (ELRA).