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CISpaces.org : from fact extraction to report generation
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dc.contributor.author | Cerutti, Federico | |
dc.contributor.author | Norman, Timothy J. | |
dc.contributor.author | Toniolo, Alice | |
dc.contributor.author | Middleton, Stuart E. | |
dc.contributor.editor | Modgil, Sanjay | |
dc.contributor.editor | Budzynska, Katarzyna | |
dc.contributor.editor | Lawrence, John | |
dc.date.accessioned | 2018-10-11T13:30:07Z | |
dc.date.available | 2018-10-11T13:30:07Z | |
dc.date.issued | 2018-09-11 | |
dc.identifier | 256167672 | |
dc.identifier | ba72746c-6c11-4a54-bd70-77016f9a0a75 | |
dc.identifier | 85053898963 | |
dc.identifier | 000648581800029 | |
dc.identifier.citation | Cerutti , F , Norman , T J , Toniolo , A & Middleton , S E 2018 , CISpaces.org : from fact extraction to report generation . in S Modgil , K Budzynska & J Lawrence (eds) , Computational Models of Argument . Frontiers in Artificial Intelligence and Applications , vol. 305 , IOS Press , Amsterdam , pp. 269-280 , 7th International Conference on Computational Models of Argument, COMMA 2018 , Warsaw , Poland , 11/09/18 . https://doi.org/10.3233/978-1-61499-906-5-269 | en |
dc.identifier.citation | conference | en |
dc.identifier.isbn | 9781614999058 | |
dc.identifier.isbn | 9781614999065 | |
dc.identifier.issn | 0922-6389 | |
dc.identifier.other | ORCID: /0000-0002-6816-6360/work/49308264 | |
dc.identifier.uri | https://hdl.handle.net/10023/16190 | |
dc.description.abstract | We introduce CISpaces.org, 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 CISpaces.org 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. | |
dc.format.extent | 12 | |
dc.format.extent | 446461 | |
dc.language.iso | eng | |
dc.publisher | IOS Press | |
dc.relation.ispartof | Computational Models of Argument | en |
dc.relation.ispartofseries | Frontiers in Artificial Intelligence and Applications | en |
dc.rights | © 2018 The authors and IOS Press. This article is published online with Open Access by IOS Press and distributed under the terms of the Creative Commons Attribution Non-Commercial License 4.0 (CC BY-NC 4.0). | en |
dc.subject | Argumentation | en |
dc.subject | Open source intelligence | en |
dc.subject | Report generation | en |
dc.subject | QA75 Electronic computers. Computer science | en |
dc.subject | T Technology | en |
dc.subject | Artificial Intelligence | en |
dc.subject | DAS | en |
dc.subject.lcc | QA75 | en |
dc.subject.lcc | T | en |
dc.title | CISpaces.org : from fact extraction to report generation | en |
dc.type | Conference item | en |
dc.contributor.institution | University of St Andrews.School of Computer Science | en |
dc.identifier.doi | 10.3233/978-1-61499-906-5-269 |
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