• 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