DocumentCode :
153959
Title :
Representing Uncertainty in CE
Author :
Ping Xue ; Poteet, Steve ; Kao, Anne ; Mott, David ; Giammanco, Cheryl
Author_Institution :
Res. & Technol., Boeing Co., Seattle, WA, USA
fYear :
2014
fDate :
6-8 Oct. 2014
Firstpage :
1639
Lastpage :
1644
Abstract :
Providing analysts and decision makers with a means of assessing how certain extracted information is, and what the sources of uncertainty are, is an important part of the provenance of a piece of intelligence for decision-making. A major source of (un)certainty derives from the text in reports that analysts and decision makers rely on. We outline an analysis of uncertainty expressions used in English. We show how a controlled English can be used to represent the uncertainty expressions and infer important information, and how this information might be represented to analysts in support of decision-making for military operations.
Keywords :
decision making; knowledge acquisition; military computing; natural languages; text analysis; uncertainty handling; English; categorization; controlled natural language; decision-making; epistemic modal auxiliaries; information extraction; military operations; uncertainty derives; uncertainty expressions; uncertainty represention; Cognition; Data mining; Decision making; Natural languages; Reliability; Syntactics; Uncertainty; assumptions; categorization; controlled natural language; epistemic modal auxiliaries; evidential expressions; factive verbs; information extraction; uncertainty expressions;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Military Communications Conference (MILCOM), 2014 IEEE
Conference_Location :
Baltimore, MD
Type :
conf
DOI :
10.1109/MILCOM.2014.269
Filename :
6956990
Link To Document :
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