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Private Cybersecurity NER dataset
Our dataset is created by merging APTNER and CyNER datasets, containing 13601 sentences, 347779 tokens, and 37684 entities. The split ratio was roughly 70% for training and... -
Cybersecurity NER SecureBERT model
This method includes a Python script and files of a SecureBERT model fine-tuned on our Cybersecurity NER dataset. The method requires as input a list of sentences that will be...-
JSON
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TXT
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BIN
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ZIP
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ZIP
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ZIP
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TXT
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text/x-python
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JSON
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Private Italian Thesaurus for Tourism domain
An Italian thesaurus in the domain of the Tourism, counting 2,684 concepts, organized according to semantic relationships (equivalence, hierarchical and associative). The...
