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 toolService 
toolService
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Description:
This model for named entity recognition of non-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.hand ...
 This item contains 1 file (46.15 MB).
 
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 toolService 
toolService
Author(s):
Description:
This model for named entity recognition of non-standard Croatian was built with the CLASSLA-StanfordNLP tool (https://github.com/clarinsi/classla-stanfordnlp) by training on the hr500k training corpus (http://hdl.handle. ...
 This item contains 1 file (46.14 MB).
 
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 toolService 
toolService
Author(s):
Description:
This model for named entity recognition of non-standard Slovenian was built with the CLASSLA-StanfordNLP tool (https://github.com/clarinsi/classla-stanfordnlp) by training on the ssj500k training corpus (http://hdl.handl ...
 This item contains 1 file (46.12 MB).
 
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 lexicalConceptualResource 
lexicalConceptualResource
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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 ...
 This item contains 3 files (93.95 KB).
 
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 languageDescription 
languageDescription
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ELMo language model (https://github.com/allenai/bilm-tf) used to produce contextual word embeddings, trained on large monolingual corpora for 7 languages: Slovenian, Croatian, Finnish, Estonian, Latvian, Lithuanian and ...
 This item contains 7 files (1.35 GB).
 
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 lexicalConceptualResource 
lexicalConceptualResource
Description:
srLex is a large inflectional lexicon of Serbian language where each entry consists of a (wordform, lemma, MSD, frequency, per-million frequency) 5-tuple. The (wordform, lemma, MSD) triple frequencies are calculated on the ...
 This item contains 1 file (29.54 MB).
 
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