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dc.contributor.authorBriner, Stephen W.*
dc.contributor.authorMcCarthy, Philip M.*
dc.contributor.authorMcNamara, Danielle S.*
dc.date.accessioned2011-03-30T20:15:32Z
dc.date.available2011-03-30T20:15:32Z
dc.date.issued2007
dc.identifier.issn0894-4539
dc.identifier.urihttp://hdl.handle.net/10150/126390
dc.description.abstractA 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.
dc.language.isoen_USen_US
dc.publisherUniversity of Arizona Linguistics Circleen_US
dc.titleAutoProp: a tool to automate the construction of psychological propositionsen_US
dc.typetexten_US
dc.typeArticleen_US
dc.contributor.departmentDepartment of Psychology, University of Memphisen_US
dc.identifier.journalCoyote Papers: Working Papers in Linguistics, Linguistic Theory at the University of Arizonaen_US
refterms.dateFOA2018-06-18T01:11:35Z
html.description.abstractA 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.


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