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dc.contributor.author Ljubešić, Nikola
dc.date.accessioned 2019-10-11T15:47:32Z
dc.date.available 2019-10-11T15:47:32Z
dc.date.issued 2019-10-11
dc.identifier.uri http://hdl.handle.net/11356/1260
dc.description The model for UD dependency parsing of standard Serbian was built with the CLASSLA-StanfordNLP tool (https://github.com/clarinsi/classla-stanfordnlp) by training on the SETimes.SR training corpus (http://hdl.handle.net/11356/1200) and using the CLARIN.SI-embed.sr word embeddings (http://hdl.handle.net/11356/1206). The estimated LAS of the parser is ~89.0.
dc.language.iso srp
dc.publisher Jožef Stefan Institute
dc.relation.isreplacedby http://hdl.handle.net/11356/1835
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 Serbian
dc.type toolService
metashare.ResourceInfo#ContentInfo.detailedType tool
metashare.ResourceInfo#ResourceComponentType#ToolServiceInfo.languageDependent true
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 654307902


 Datoteke v tem vnosu

 Prenesi vse datoteke v vnosu (624 MB)
Icon
Ime
SETimes.SR_ud
Velikost
93.19 MB
Format
Neznano
Opis
Language model
MD5
631f720314f48e9b4ac9d6e7307577f3
 Prenesi datoteko
Icon
Ime
SETimes.SR_ud.pretrain.pt
Velikost
530.8 MB
Format
Neznano
Opis
Pretrained word embeddings
MD5
eb73d1c9629debd8a9d1525a0a99b314
 Prenesi datoteko

Prikaži enostavni zapis vnosa