AutoProp: a tool to automate the construction of psychological propositions

Persistent Link:
http://hdl.handle.net/10150/126390
Title:
AutoProp: a tool to automate the construction of psychological propositions
Author:
Briner, Stephen W.; McCarthy, Philip M.; McNamara, Danielle S.
Affiliation:
Department of Psychology, University of Memphis
Publisher:
University of Arizona Linguistics Circle
Journal:
Coyote Papers: Working Papers in Linguistics, Linguistic Theory at the University of Arizona
Issue Date:
2007
URI:
http://hdl.handle.net/10150/126390
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

Full metadata record

DC FieldValue Language
dc.contributor.authorBriner, Stephen W.en_US
dc.contributor.authorMcCarthy, Philip M.en_US
dc.contributor.authorMcNamara, Danielle S.en_US
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.en_US
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
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