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dc.contributor.author Straková, Jana
dc.date.accessioned 2024-09-19T14:56:39Z
dc.date.available 2024-09-19T14:56:39Z
dc.date.issued 2024-08-30
dc.identifier.uri http://hdl.handle.net/11234/1-5678
dc.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.
dc.language.iso eng
dc.language.iso deu
dc.language.iso nld
dc.language.iso spa
dc.language.iso ukr
dc.language.iso ces
dc.publisher Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL)
dc.rights Creative Commons - Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.rights.uri http://creativecommons.org/licenses/by-nc-sa/4.0/
dc.source.uri https://ufal.mff.cuni.cz/nametag/3/
dc.subject named entity recognition
dc.subject NER
dc.subject NameTag
dc.subject multilingual
dc.title NameTag 3 Multilingual CoNLL Model
dc.type languageDescription
metashare.ResourceInfo#ContentInfo.mediaType text
metashare.ResourceInfo#ContentInfo.detailedType mlmodel
dc.rights.label PUB
has.files yes
branding LINDAT / CLARIAH-CZ
demo.uri https://lindat.mff.cuni.cz/services/nametag/
contact.person Jana Straková strakova@ufal.mff.cuni.cz Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL)
sponsor Grantová agentura České republiky GX20-16819X LUSyD – Language Understanding: from Syntax to Discourse nationalFunds
size.info 1.7 gb
files.size 1811630949
files.count 1


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Zobrazit minimální záznam