from fact extraction to report generation

Federico Cerutti, Timothy J. Norman, Alice Toniolo, Stuart E. Middleton

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Citations (Scopus)
2 Downloads (Pure)


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.

Original languageEnglish
Title of host publicationComputational Models of Argument
EditorsSanjay Modgil, Katarzyna Budzynska, John Lawrence
Place of PublicationAmsterdam
PublisherIOS Press
Number of pages12
ISBN (Electronic)9781614999065
ISBN (Print)9781614999058
Publication statusPublished - 11 Sept 2018
Event7th International Conference on Computational Models of Argument, COMMA 2018 - Warsaw, Poland
Duration: 11 Sept 201814 Sept 2018
Conference number: 7

Publication series

NameFrontiers in Artificial Intelligence and Applications
ISSN (Print)0922-6389


Conference7th International Conference on Computational Models of Argument, COMMA 2018
Abbreviated titleCOMMA
Internet address


  • Argumentation
  • Open source intelligence
  • Report generation


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