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dc.contributor.author Ljubešić, Nikola
dc.date.accessioned 2019-10-11T15:47:11Z
dc.date.available 2019-10-11T15:47:11Z
dc.date.issued 2019-10-11
dc.identifier.uri http://hdl.handle.net/11356/1258
dc.description The model for UD dependency parsing of standard Slovenian was built with the CLASSLA-StanfordNLP tool (https://github.com/clarinsi/classla-stanfordnlp) by training on the UD-parsed portion of the ssj500k training corpus (http://hdl.handle.net/11356/1210) and using the CLARIN.SI-embed.sl word embeddings (http://hdl.handle.net/11356/1204). The estimated LAS of the parser is ~92.7.
dc.language.iso slv
dc.publisher Jožef Stefan Institute
dc.relation.isreplacedby http://hdl.handle.net/11356/1769
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-stanfordnlp
dc.subject parsing
dc.subject language model
dc.title The CLASSLA-StanfordNLP model for UD dependency parsing of standard Slovenian
dc.type toolService
metashare.ResourceInfo#ContentInfo.detailedType tool
metashare.ResourceInfo#ResourceComponentType#ToolServiceInfo.languageDependent true
hidden hidden
has.files yes
branding CLARIN.SI data & tools
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
files.count 2
files.size 1653652112


 Datoteke v tem vnosu

Icon
Ime
ssj500k_ud
Velikost
91.53 MB
Format
Neznano
Opis
Language model
MD5
1be97ba03ebe1501a2ee073ae27330e5
 Prenesi datoteko
Icon
Ime
ssj500k_ud.pretrain.pt
Velikost
1.45 GB
Format
Neznano
Opis
Pretrained word embeddings
MD5
a2368ff55e0ef066bfe9e702fc670e33
 Prenesi datoteko

Prikaži enostavni zapis vnosa