from Fact Extraction to Report generation

Abstract We introduce, a tool to support situational understanding in intelligence analysis that complements but not replaces human expertise. The system combines natural language processing, argumentation-based reasoning, and natural language generation to produce intelligence reports from social media data, and to record the process of forming hypotheses from relationships among information. In this paper, we show how meets the desirable requirements elicited from senior professionals, and demonstrate its usage and capabilities to support analysts in delivering effective and tailored intelligence to decision makers.
  • Federico Cerutti (Cardiff)
  • Tim Norman (Southampton)
  • Alice Toniolo
  • Stuart Middleton (Southampton)
Date Sep-2018
Venue COMMA 2018: 7th International Conference on Computational Models of Argument, Warsaw, Poland, 12-14 September 2018.