NameTag 3: A Tool and a Service for Multilingual/Multitagset NER

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F25%3A10511660" target="_blank" >RIV/00216208:11320/25:10511660 - isvavai.cz</a>

Result on the web

<a href="https://aclanthology.org/2025.acl-demo.4/" target="_blank" >https://aclanthology.org/2025.acl-demo.4/</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.18653/v1/2025.acl-demo.4" target="_blank" >10.18653/v1/2025.acl-demo.4</a>

Result language

angličtina

Original language name

NameTag 3: A Tool and a Service for Multilingual/Multitagset NER

Original language description

We introduce NameTag 3, an open-source tool and cloud-based web service for multilingual, multidataset, and multitagset named entity recognition (NER), supporting both flat and nested entities. NameTag 3 achieves state-of-the-art results on 21 test datasets in 15 languages and remains competitive on the rest, even against larger models. It is available as a command-line tool and as a cloud-based service, enabling use without local installation. NameTag 3 web service currently provides flat NER for 17 languages, trained on 21 corpora and three NE tagsets, all powered by a single 355M-parameter fine-tuned model; and nested NER for Czech, powered by a 126M fine-tuned model. The source code is licensed under open-source MPL 2.0, while the models are distributed under non-commercial CC BY-NC-SA 4.0. Documentation is available at https://ufal.mff.cuni.cz/nametag, source code at https://github.com/ufal/nametag3, and trained models via https://lindat.cz. The REST service and the web application can be found a

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>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 63rd Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations)

ISBN

979-8-89176-253-4

ISSN

—

e-ISSN

—

Number of pages

9

Pages from-to

31-39

Publisher name

Association for Computational Linguistics

Place of publication

Kerrville, TX, USA

Event location

Wien, Austria

Event date

Jul 27, 2025

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

001596032100004