Multilingual Relation Extraction - A Survey

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F26%3AZNC9WTJ8" target="_blank" >RIV/00216208:11320/26:ZNC9WTJ8 - isvavai.cz</a>

Result on the web

<a href="http://dx.doi.org/10.1109/ACCESS.2025.3604258" target="_blank" >http://dx.doi.org/10.1109/ACCESS.2025.3604258</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/ACCESS.2025.3604258" target="_blank" >10.1109/ACCESS.2025.3604258</a>

Result language

angličtina

Original language name

Multilingual Relation Extraction - A Survey

Original language description

Relation extraction plays a fundamental role in applications of various research fields such as knowledge graph construction, event extraction, and question answering over knowledge graphs, as they often rely on extracting relationships between named entities. Relation extraction has been extensively studied in high-resource languages like English. However, there remains a significant gap in supporting languages with limited resources, defined as those lacking comprehensive annotated corpora, linguistic tools, or pre-trained models, limiting the completeness and accuracy of applications that rely on multilingual data. This paper provides a comprehensive survey of recent advances in relation extraction, focusing on multilingual approaches. We systematically review state-of-the-art methods, datasets used for evaluation, and key features leveraged in these approaches. Additionally, we perform a detailed comparative analysis of the surveyed methods, examining their methodologies, target domains, levels of extraction, explored languages, and effectiveness. Finally, we identify promising directions for future research, with an emphasis on enhancing multilingual relation extraction. © IEEE. 2013 IEEE.

Czech name

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Czech description

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Type

J_SC - Article in a specialist periodical, which is included in the SCOPUS database

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

—

Continuities

—

Publication year

2025

Confidentiality

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

Name of the periodical

IEEE Access

ISSN

2169-3536

e-ISSN

—

Volume of the periodical

2025

Issue of the periodical within the volume

2025

Country of publishing house

US - UNITED STATES

Number of pages

27

Pages from-to

151907-151933

UT code for WoS article

—

EID of the result in the Scopus database

2-s2.0-105014622333