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languageDescription
Description:
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 ...
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MB).
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toolService
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) ...
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MB).
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toolService
Description:
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 ...
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lexicalConceptualResource
Description:
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 ...
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KB).
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lexicalConceptualResource
Description:
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 ...
This item contains 6 files (12.05
MB).
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corpus
Description:
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: ...
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