Towards a two-phase unsupervised system for cybersecurity concepts extraction

Published: Jul 1, 2017
Abstract
This paper explores a novel named entity recognition approach to locate and classify cybersecurity concepts from unstructured texts. The proposed system follows a two-phase procedure. Phase one aims for named entity location, which can be achieved by any existing NER system that is well trained on generic and annotated English articles. The output of phase one is a processed text in which named entities are located and well marked. In phase two,...
Paper Details
Title
Towards a two-phase unsupervised system for cybersecurity concepts extraction
Published Date
Jul 1, 2017
Journal
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