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Cerutti, Federico ORCID:, Norman, Timothy, Toniolo, Alice and Middleton, Stuart 2018. from fact extraction to report generation. Presented at: COMMA 2018: 7th International Conference on Computational Models of Argument, Warsaw, Poland, 12-14 September 2018.

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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.

Item Type: Conference or Workshop Item (Speech)
Date Type: Completion
Status: In Press
Schools: Computer Science & Informatics
Crime and Security Research Institute (CSURI)
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Funders: DAIS-ITA
Related URLs:
Date of First Compliant Deposit: 16 August 2018
Last Modified: 24 Oct 2022 07:08

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