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Private Cybersecurity NER BERT-base-cased model
This method includes a Python script and files of a BERT-base-cased model fine-tuned on our Cybersecurity NER dataset. The method requires as input a list of sentences that... -
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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JSON
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ZIP
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ZIP
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JSON
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JSON
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JSON
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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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Cybersecurity NER RoBERTa-base model
This method includes a Python script and files of a RoBERTa-base model fine-tuned on our Cybersecurity NER dataset. The method requires as input a list of sentences that will...-
JSON
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TXT
The resource: 'merges' is not accessible as guest user. You must login to access it!
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BIN
The resource: 'model' is not accessible as guest user. You must login to access it!
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JSON
The resource: 'model_args' is not accessible as guest user. You must login to access it!
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ZIP
The resource: 'scheduler' is not accessible as guest user. You must login to access it!
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JSON
The resource: 'special_tokens_map' is not accessible as guest user. You must login to access it!
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JSON
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ZIP
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JSON
The resource: 'tokenizer' is not accessible as guest user. You must login to access it!
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JSON
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ZIP
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py
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JSON
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Common Crawl Financial News Dataset
This dataset contains financial articles related to companies in the S&P500 index for the period from September 2016 to February 2020. The articles were extracted from the...-
CSV
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CSV
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FAIR-SWENG: dataset on gender fairness in software engineering academic lands...
The dataset contains academic performance metrics of Software Engineers worldwide. -
Python library for direct and indirect discrimination prevention in data mining
This python library implements the discrimination discovery and prevention method proposed in the paper: “A methodology for direct and indirect discrimination prevention in...-
GitHub
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GitHub
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Forecasting the market value of soccer players from soccer-logs and social me...
This experiments aims to develop a methodology to monitor and predict the market value of professional soccer players given their performance computed from soccer-logs and... -
Detecting Content That Triggers Polarization in Social Networks
We provide a method that finds echo chambers in online social networks. The method considers controversial contents and finds users of the network who discuss these contents...
