Mapping AMR to UMR: Resources for Adapting Existing Corpora for Cross-Lingual Compatibility
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F23%3A10475692" target="_blank" >RIV/00216208:11320/23:10475692 - isvavai.cz</a>
Result on the web
<a href="https://aclanthology.org/2023.tlt-1.8" target="_blank" >https://aclanthology.org/2023.tlt-1.8</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Mapping AMR to UMR: Resources for Adapting Existing Corpora for Cross-Lingual Compatibility
Original language description
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 categories present in both AMR and UMR.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
TLT 2023 - 21st International Workshop on Treebanks and Linguistic Theories (TLT, GURT/SyntaxFest 2023), Proceedings of the Conference
ISBN
978-1-959429-33-3
ISSN
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e-ISSN
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Number of pages
22
Pages from-to
74-95
Publisher name
Association for Computational Linguistics
Place of publication
Washington, D.C., USA
Event location
Washington, D.C., USA
Event date
Mar 9, 2023
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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