Natural Language Processing for Intelligence Collection & Exploitation (NICE) Phase II

As part of the Phase I effort, Black Cape worked closely with the 75th Ranger Regiment to identify key capability gaps and technology needs, which includes intelligence report exploitation and other Ranger Regiment-specific report processing requests. While the Phase I proposal and initial Phase I research effort focused on the application of NLP and related techniques to process and exploit intelligence data, Black Cape and the 75th Ranger Regiment identified additional capability gaps that could be addressed using the underlying artificial intelligence/machine learning (AI/ML) technologies being developed: intelligence data processing and enrichment to automate the process of analyzing, categorizing, and labeling large quantities of raw intelligence data; context-driven semantic searchĀto expedite the process of searching through intelligence data and documents to find relevant information using natural language queries; and next-generation personnel managementĀto automate and integrate personnel management processes across the Regimental Recruiting Detachment (REC-D), Ranger Assessment and Selection (RASP), and the 75th Ranger Regiment Headquarters (RHQ), including the processing of raw personnel reports into structured and usable formats, enabling selection of the best and most qualified personnel to the Regiment.Ā