dc.contributor.author | Ljubešić, Nikola |
dc.date.accessioned | 2020-06-20T10:47:46Z |
dc.date.available | 2020-06-20T10:47:46Z |
dc.date.issued | 2020-06-19 |
dc.identifier.uri | http://hdl.handle.net/11356/1323 |
dc.description | This model for named entity recognition 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). |
dc.language.iso | srp |
dc.publisher | Jožef Stefan Institute |
dc.relation.isreferencedby | http://dx.doi.org/10.18653/v1/W19-3704 |
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 | named entity recognition |
dc.subject | language model |
dc.title | The CLASSLA-StanfordNLP model for named entity recognition of standard Serbian 1.0 |
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 | 111228370 |
Files in this item
Download all files in item (106.08 MB)This item is
Creative Commons - Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)
Publicly Available
and licensed under:Creative Commons - Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)
- Name
- SETimes.SR
- Size
- 46.09 MB
- Format
- Unknown
- Description
- Language model
- MD5
- 2079b820984efe7fed067c6513075f0a
- Name
- SETimes.SR.pretrain.pt
- Size
- 59.98 MB
- Format
- Unknown
- Description
- Pretrained word embeddings
- MD5
- 7a7d6e29304787c0fc10c13032e43e4b