@inproceedings{bonn-etal-2023-umr,
title = "{UMR} Annotation of Multiword Expressions",
author = "Bonn, Julia and
Cowell, Andrew and
Haji{\v{c}}, Jan and
Palmer, Alexis and
Palmer, Martha and
Pustejovsky, James and
Sun, Haibo and
Uresova, Zdenka and
Wein, Shira and
Xue, Nianwen and
Zhao, Jin",
editor = "Bonn, Julia and
Xue, Nianwen",
booktitle = "Proceedings of the Fourth International Workshop on Designing Meaning Representations",
month = jun,
year = "2023",
address = "Nancy, France",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2023.dmr-1.10",
pages = "99--109",
abstract = "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.",
}
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<abstract>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.</abstract>
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%0 Conference Proceedings
%T UMR Annotation of Multiword Expressions
%A Bonn, Julia
%A Cowell, Andrew
%A Hajič, Jan
%A Palmer, Alexis
%A Palmer, Martha
%A Pustejovsky, James
%A Sun, Haibo
%A Uresova, Zdenka
%A Wein, Shira
%A Xue, Nianwen
%A Zhao, Jin
%Y Bonn, Julia
%Y Xue, Nianwen
%S Proceedings of the Fourth International Workshop on Designing Meaning Representations
%D 2023
%8 June
%I Association for Computational Linguistics
%C Nancy, France
%F bonn-etal-2023-umr
%X 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.
%U https://aclanthology.org/2023.dmr-1.10
%P 99-109
Markdown (Informal)
[UMR Annotation of Multiword Expressions](https://aclanthology.org/2023.dmr-1.10) (Bonn et al., DMR-WS 2023)
ACL
- Julia Bonn, Andrew Cowell, Jan Hajič, Alexis Palmer, Martha Palmer, James Pustejovsky, Haibo Sun, Zdenka Uresova, Shira Wein, Nianwen Xue, and Jin Zhao. 2023. UMR Annotation of Multiword Expressions. In Proceedings of the Fourth International Workshop on Designing Meaning Representations, pages 99–109, Nancy, France. Association for Computational Linguistics.