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 languageDescription 
languageDescription
Avtor(ji):
Opis:
ELMo language model (https://github.com/allenai/bilm-tf) used to produce contextual word embeddings, trained on entire Gigafida 2.0 corpus (https://viri.cjvt.si/gigafida/System/Impressum) for 10 epochs. 1,364,064 most ...
 Ta vnos vsebuje 2 datotek(e) (212.96 MB).
 
Publicly Available
 toolService 
toolService
Avtor(ji):
Opis:
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) ...
 Ta vnos vsebuje 2 datotek(e) (549.14 MB).
 
Publicly Available Distributed under Creative Commons Attribution Required Share Alike
 toolService 
toolService
Avtor(ji):
Opis:
The model for UD dependency parsing of standard Croatian was built with the CLASSLA-StanfordNLP tool (https://github.com/clarinsi/classla-stanfordnlp) by training on the UD-parsed portion of the hr500k training corpus ...
 Ta vnos vsebuje 2 datotek(e) (1.13 GB).
 
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V preteklem tednu
 lexicalConceptualResource 
lexicalConceptualResource
Opis:
A lexicon of 751 emoji characters with automatically assigned sentiment. The sentiment is computed from 70,000 tweets, labeled by 83 human annotators in 13 European languages. The process and analysis of emoji sentiment ...
 Ta vnos vsebuje 3 datotek(e) (93.95 KB).
 
Publicly Available Distributed under Creative Commons Attribution Required Share Alike
 lexicalConceptualResource 
lexicalConceptualResource
Opis:
The MULTEXT-East morphosyntactic lexicons have a simple structure, where each line is a lexical entry with three tab-separated fields: (1) the word-form, the inflected form of the word; (2) the lemma, the base-form of the ...
 Ta vnos vsebuje 6 datotek(e) (12.05 MB).
 
Publicly Available Distributed under Creative Commons Attribution Required Noncommercial
 corpus 
corpus
Avtor(ji):
Opis:
The corpus contains 256,567 documents from the Slovenian news portals 24ur, Dnevnik, Finance, Rtvslo, and Žurnal24. These portals contain political, business, economic and financial content. The submission contains 7 files: ...
 Ta vnos vsebuje 8 datotek(e) (616.88 MB).
 
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