NameTag 3 Multilingual CoNLL Model

Title:

NameTag 3 Multilingual CoNLL Model

Creator:

Straková, Jana

Contributor:

Grantová agentura České republiky@@GX20-16819X@@LUSyD – Language Understanding: from Syntax to Discourse@@nationalFunds@@

Publisher:

Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL)

Identifier:

http://hdl.handle.net/11234/1-5678

Subject:

named entity recognition, NER, NameTag, and multilingual

Type:

text, mlmodel, and languageDescription

Description:

This is a trained model for the supervised machine learning tool NameTag 3 (https://ufal.mff.cuni.cz/nametag/3/), trained jointly on several NE corpora: English CoNLL-2003, German CoNLL-2003, Dutch CoNLL-2002, Spanish CoNLL-2002, Ukrainian Lang-uk, and Czech CNEC 2.0, all harmonized to flat NEs with 4 labels PER, ORG, LOC, and MISC. NameTag 3 is an open-source tool for both flat and nested named entity recognition (NER). NameTag 3 identifies proper names in text and classifies them into a set of predefined categories, such as names of persons, locations, organizations, etc. The model documentation can be found at https://ufal.mff.cuni.cz/nametag/3/models#multilingual-conll.

Language:

English, German, Dutch, Spanish, Ukrainian, and Czech

Rights:

Creative Commons - Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
http://creativecommons.org/licenses/by-nc-sa/4.0/
PUB

Relation:

https://lindat.mff.cuni.cz/services/nametag/

Source:

https://ufal.mff.cuni.cz/nametag/3/

Harvested from:

LINDAT/CLARIAH-CZ repository

Metadata only:

false

Date:

2024-08-30