dc.contributor.author | Straková, Jana |
dc.date.accessioned | 2024-09-19T14:55:15Z |
dc.date.available | 2024-09-19T14:55:15Z |
dc.date.issued | 2024-08-30 |
dc.identifier.uri | http://hdl.handle.net/11234/1-5677 |
dc.description | This is a trained model for the supervised machine learning tool NameTag 3 (https://ufal.mff.cuni.cz/nametag/3/), trained on the Czech Named Entity Corpus 2.0 (https://ufal.mff.cuni.cz/cnec/cnec2.0). 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#czech-cnec2. |
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 | Czech |
dc.title | NameTag 3 Czech CNEC 2.0 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 | 451 mb |
files.size | 472653094 |
files.count | 1 |
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- nametag3-czech-cnec2.0-240830
- LICENSE20 kB
- README.md2 kB
- options.json1 kB
- checkpoint.weights.h5485 MB
- udpipe.tokenizer214 kB
- mappings.pickle16 kB