Extracting multiple relations between entities from unstructured threat intelligence reports

This paper addresses the problem of automatically extracting threat intelligence from unstructured text sources. We focus specifically on the possibility of multiple relations between two entities and propose a two-stage process that allows any binary classifier to be used for multiclass classification without interfering with the binary algorithm used.
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Extracting multiple relations between entities from unstructured threat intelligence reports