The CLASSLA-Stanza model for named entity recognition of standard Slovenian 2.2

Name: The CLASSLA-Stanza model for named entity recognition of standard Slovenian 2.2
License: https://creativecommons.org/licenses/by-sa/4.0/

Terčon, Luka; Dobrovoljc, Kaja; Ljubešić, Nikola

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dc.contributor.author	Terčon, Luka
dc.contributor.author	Dobrovoljc, Kaja
dc.contributor.author	Ljubešić, Nikola
dc.date.accessioned	2025-02-09T11:43:49Z
dc.date.available	2025-02-09T11:43:49Z
dc.date.issued	2025-02-07
dc.identifier.uri	http://hdl.handle.net/11356/2014
dc.description	This model for named entity recognition of standard Slovenian was built with the CLASSLA-Stanza tool (https://github.com/clarinsi/classla) by training on the SUK training corpus (http://hdl.handle.net/11356/1959) and using the CLARIN.SI-embed.sl 2.0 word embeddings (http://hdl.handle.net/11356/1791). The difference to the previous version of the model is that the model was trained using the SUK training corpus and uses new embeddings.
dc.language.iso	slv
dc.publisher	Jožef Stefan Institute
dc.relation.isreferencedby	http://dx.doi.org/10.18653/v1/W19-3704
dc.relation.replaces	http://hdl.handle.net/11356/1321
dc.rights	Creative Commons - Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)
dc.rights.uri	https://creativecommons.org/licenses/by-sa/4.0/
dc.rights.label	PUB
dc.source.uri	https://github.com/clarinsi/classla
dc.subject	named entity recognition
dc.subject	language model
dc.title	The CLASSLA-Stanza model for named entity recognition of standard Slovenian 2.2
dc.type	toolService
metashare.ResourceInfo#ContentInfo.detailedType	tool
metashare.ResourceInfo#ResourceComponentType#ToolServiceInfo.languageDependent	true
has.files	yes
branding	CLARIN.SI data & tools
contact.person	Luka Terčon luka.tercon@fri.uni-lj.si Faculty of Computer and Information Science, University of Ljubljana
contact.person	Nikola Ljubešić nikola.ljubesic@ijs.si Jožef Stefan Institute
sponsor	ARRS (Slovenian Research Agency) P6-0411 Language Resources and Technologies for Slovene nationalFunds
sponsor	ARRS (Slovenian Research Agency) J7-8280 FRENK: Resources, methods, and tools for the understanding, identification, and classification of various forms of socially unacceptable discourse in the information society nationalFunds
sponsor	ARRS (Slovenian Research Agency) N6-0099 LiLaH: Linguistic Landscape of Hate Speech nationalFunds
sponsor	ARRS (Slovenian Research Agency) J7-4642 MEZZANINE nationalFunds
sponsor	ARRS (Slovenian Research Agency) Z6-4617 Treebank-Driven Approach to the Study of Spoken Slovenian nationalFunds
files.count	2
files.size	153815846