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

Kód výsledku v 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>

Výsledek na webu

<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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Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

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Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2023

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

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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Počet stran výsledku

22

Strana od-do

74-95

Název nakladatele

Association for Computational Linguistics

Místo vydání

Washington, D.C., USA

Místo konání akce

Washington, D.C., USA

Datum konání akce

9. 3. 2023

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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