Trigger-free cybersecurity event detection based on contrastive learning
暂无分享,去创建一个
[1] S. Chauhan,et al. Contrastive self-supervised learning: review, progress, challenges and future research directions , 2022, Int. J. Multim. Inf. Retr..
[2] Xiaohui Cui,et al. SimCLRT: A Simple Framework for Contrastive Learning of Rumor Tracking , 2022, Eng. Appl. Artif. Intell..
[3] Hongpeng Yin,et al. A survey on multi-modal social event detection , 2020, Knowl. Based Syst..
[4] Vijay Mago,et al. Evolution of Semantic Similarity—A Survey , 2020, ACM Comput. Surv..
[5] Francis Ferraro,et al. CASIE: Extracting Cybersecurity Event Information from Text , 2020, AAAI.
[6] Gang Wang,et al. Crowdsourcing Cybersecurity: Cyber Attack Detection using Social Media , 2017, CIKM.
[7] Tom M. Mitchell,et al. Weakly Supervised Extraction of Computer Security Events from Twitter , 2015, WWW.
[8] Alberto Maria Segre,et al. The Use of Twitter to Track Levels of Disease Activity and Public Concern in the U.S. during the Influenza A H1N1 Pandemic , 2011, PloS one.
[9] S. Hochreiter,et al. Long Short-Term Memory , 1997, Neural Computation.