Bootstrapping UMRs from Universal Dependencies for Scalable Multilingual Annotation

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F25%3A10511583" target="_blank" >RIV/00216208:11320/25:10511583 - isvavai.cz</a>

Result on the web

<a href="https://aclanthology.org/2025.law-1.10/" target="_blank" >https://aclanthology.org/2025.law-1.10/</a>

DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Bootstrapping UMRs from Universal Dependencies for Scalable Multilingual Annotation

Original language description

Uniform Meaning Representation (UMR) is a semantic annotation framework designed to be applicable across typologically diverse languages. However, UMR annotation is a labor-intensive task, requiring significant effort and time especially when no prior annotations are available. In this paper, we present a method for bootstrapping UMR graphs by leveraging Universal Dependencies (UD), one of the most comprehensive multilingual resources, encompassing languages across a wide range of language families. Given UMR’s strong typological and cross-linguistic orientation, UD serves as a particularly suitable starting point for the conversion. We describe and evaluate an approach that automatically derives partial UMR graphs from UD trees, providing annotators with an initial representation to build upon. While UD is not a semantic resource, our method extracts useful structural information that aligns with the UMR formalism, thereby facilitating the annotation process. By leveraging UD’s broad typological cove

Czech name

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Czech description

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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)

Project

Result was created during the realization of more than one project. More information in the Projects tab.

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2025

Confidentiality

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

Article name in the collection

Proceedings of the 19th Linguistic Annotation Workshop

ISBN

979-8-89176-262-6

ISSN

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e-ISSN

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Number of pages

11

Pages from-to

126-136

Publisher name

Association for Computational Linguistics

Place of publication

Wien, Austria

Event location

Wien, Austria

Event date

Jul 31, 2025

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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