Universal NER: A Gold-Standard Multilingual Named Entity Recognition Benchmark
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F25%3AYPNCYTJL" target="_blank" >RIV/00216208:11320/25:YPNCYTJL - isvavai.cz</a>
Result on the web
<a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85199571930&partnerID=40&md5=5ee459fb2e1d6df5d849ddf6ecc0da70" target="_blank" >https://www.scopus.com/inward/record.uri?eid=2-s2.0-85199571930&partnerID=40&md5=5ee459fb2e1d6df5d849ddf6ecc0da70</a>
DOI - Digital Object Identifier
—
Alternative languages
Result language
angličtina
Original language name
Universal NER: A Gold-Standard Multilingual Named Entity Recognition Benchmark
Original language description
We introduce Universal NER (UNER), an open, community-driven project to develop gold-standard NER benchmarks in many languages. The overarching goal of UNER is to provide high-quality, cross-lingually consistent annotations to facilitate and standardize multilingual NER research. UNER v1 contains 19 datasets annotated with named entities in a cross-lingual consistent schema across 13 diverse languages. In this paper, we detail the dataset creation and composition of UNER; we also provide initial modeling baselines on both in-language and cross-lingual learning settings. We will release the data, code, and fitted models to the public. ©2024 Association for Computational Linguistics.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
—
Continuities
—
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proc. Conf. North American Chapter Assoc. Comput. Linguist.: Hum. Lang. Technol., NAACL
ISBN
979-889176114-8
ISSN
—
e-ISSN
—
Number of pages
16
Pages from-to
4322-4337
Publisher name
Association for Computational Linguistics (ACL)
Place of publication
—
Event location
Hybrid, Mexico City
Event date
Jan 1, 2025
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—