Identifying Products in Online Cybercrime Marketplaces: A Dataset for Fine-grained Domain Adaptation-Reference-Cited by-同舟云学术

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Identifying Products in Online Cybercrime Marketplaces: A Dataset for Fine-grained Domain Adaptation

Published:2017 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing
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Author:

Durrett Greg,Kummerfeld Jonathan K.,Berg-Kirkpatrick Taylor,Portnoff Rebecca,Afroz Sadia,McCoy Damon,Levchenko Kirill,Paxson Vern

Publisher

Association for Computational Linguistics

Cited by 12 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A novel cross-domain adaptation framework for unsupervised criminal jargon detection via pre-trained contextual embedding of darknet corpus;Expert Systems with Applications;2024-05

2. Research on a Framework for Chinese Argot Recognition and Interpretation by Integrating Improved MECT Models;Entropy;2024-04-06

3. The Art of Cybercrime Community Research;ACM Computing Surveys;2024-02-23

4. Syntactic Enhanced Euphemisms Identification Based on Graph Convolution Networks and Dependency Parsing;2023 8th International Conference on Data Science in Cyberspace (DSC);2023-08-18

5. EHML: An Efficient Hybrid Machine Learning Model for Cyber Threat Forecasting in CPS;2023 International Conference on Artificial Intelligence and Smart Communication (AISC);2023-01-27

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