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What is A Comparative Study of Deep Learning Based Named Entity Recognition Algorithms For Cybersecurity about?
This paper presents a comparative study of deep learning-based Named Entity Recognition (NER) algorithms specifically tailored for the cybersecurity domain. It highlights the limitations of general-purpose NER algorithms when applied to cybersecurity texts and introduces a curated dataset for evaluating various NER approaches. The study aims to identify the most effective NER algorithms for extracting cyber threat intelligence from diverse unstructured text sources.
- Author
- leopaul141994
- Language
- EN