Mapping AMR to UMR: Resources for Adapting Existing Corpora for Cross-Lingual Compatibility

Julia Bonn, Skatje Myers, Jens E. L. Van Gysel, Lukas Denk, Meagan Vigus, Jin Zhao, Andrew Cowell, William Croft, Jan Hajič, James H. Martin, Alexis Palmer, Martha Palmer, James Pustejovsky, Zdenka Urešová, Rosa Vallejos, Nianwen Xue


Abstract
This paper presents detailed mappings between the structures used in Abstract Meaning Representation (AMR) and those used in Uniform Meaning Representation (UMR). These structures include general semantic roles, rolesets, and concepts that are largely shared between AMR and UMR, but with crucial differences. While UMR annotation of new low-resource languages is ongoing, AMR-annotated corpora already exist for many languages, and these AMR corpora are ripe for conversion to UMR format. Rather than focusing on semantic coverage that is new to UMR (which will likely need to be dealt with manually), this paper serves as a resource (with illustrated mappings) for users looking to understand the fine-grained adjustments that have been made to the representation techniques for semantic categoriespresent in both AMR and UMR.
Anthology ID:
2023.tlt-1.8
Volume:
Proceedings of the 21st International Workshop on Treebanks and Linguistic Theories (TLT, GURT/SyntaxFest 2023)
Month:
March
Year:
2023
Address:
Washington, D.C.
Editors:
Daniel Dakota, Kilian Evang, Sandra Kübler, Lori Levin
Venues:
TLT | SyntaxFest
SIG:
SIGPARSE
Publisher:
Association for Computational Linguistics
Note:
Pages:
74–95
Language:
URL:
https://aclanthology.org/2023.tlt-1.8
DOI:
Bibkey:
Cite (ACL):
Julia Bonn, Skatje Myers, Jens E. L. Van Gysel, Lukas Denk, Meagan Vigus, Jin Zhao, Andrew Cowell, William Croft, Jan Hajič, James H. Martin, Alexis Palmer, Martha Palmer, James Pustejovsky, Zdenka Urešová, Rosa Vallejos, and Nianwen Xue. 2023. Mapping AMR to UMR: Resources for Adapting Existing Corpora for Cross-Lingual Compatibility. In Proceedings of the 21st International Workshop on Treebanks and Linguistic Theories (TLT, GURT/SyntaxFest 2023), pages 74–95, Washington, D.C.. Association for Computational Linguistics.
Cite (Informal):
Mapping AMR to UMR: Resources for Adapting Existing Corpora for Cross-Lingual Compatibility (Bonn et al., TLT-SyntaxFest 2023)
Copy Citation:
PDF:
https://aclanthology.org/2023.tlt-1.8.pdf
Video:
 https://aclanthology.org/2023.tlt-1.8.mp4