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InfoResearchPeer-reviewed
Mujaz: A Summarization-Based Approach for Normalized Vulnerability Description
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Summary
Mujaz is a multi-task natural language processing system that normalizes and summarizes vulnerability descriptions in public vulnerability databases. The authors introduce a parallel, manually annotated corpus of vulnerability summaries and fine-tune pre-trained language models for the summarization tasks. Reported results include ROUGE scores, compression ratio, and human and expert evaluations of completeness, correctness and fluency.