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    AutoProp: a tool to automate the construction of psychological propositions

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    Author
    Briner, Stephen W.
    McCarthy, Philip M.
    McNamara, Danielle S.
    Affiliation
    Department of Psychology, University of Memphis
    Issue Date
    2007
    
    Metadata
    Show full item record
    Publisher
    University of Arizona Linguistics Circle (Tucson, Arizona)
    Journal
    Coyote Papers
    URI
    http://hdl.handle.net/10150/126390
    Additional Links
    https://coyotepapers.sbs.arizona.edu/
    Abstract
    A prototype of an automated tool to construct a propositional textbase, AutoProp, is described and qualitatively assessed. The tool is specifically designed to propositionalize texts for experimental studies that collect and analyze participants’ recall of text. The procedure for creating the propositionalized text is explained, followed by a descriptive analysis of the tool’s propositions as compared to 29 hand-coded propositions. In initial testing, all of AutoProp’s propositions differed from the hand-coded propositions at a superficial level; however, no differences deemed uncorrectable were encountered. Based on the success of these initial results, we conclude that AutoProp is a viable tool worthy of continued examination and development. Limitations of the tool, along with future developmental plans and requirements addressing these limitations are also discussed.
    Type
    text
    Article
    Language
    en_US
    ISSN
    0894-4539
    Collections
    Coyote Papers: Volume 15 (2007)

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