Assessing two-mode semantic network story representations using a false memory paradigm

Steven Corman, B. Hunter Ball, Kimberly M. Talboom, Gene Brewer

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

This paper describes a novel method of representing semantic networks of stories (and other text) as a two-mode graph. This method has some advantages over traditional one-mode semantic networks, but has the potential drawback (shared with n-gram text networks) that it contains paths that are not present in the text. An empirical study was devised using a false memory paradigm to determine whether these induced paths are remembered as being true of a set of stories. Results indicate that participants report false memories consistent with the induced paths. Implications for further research and two-mode semantic representations are discussed.

Original languageEnglish (US)
Title of host publication2013 Workshop on Computational Models of Narrative, CMN 2013
PublisherSchloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing
Pages52-60
Number of pages9
ISBN (Print)9783939897576
DOIs
StatePublished - Jan 1 2013
Event2013 Workshop on Computational Models of Narrative, CMN 2013 - Hamburg, Germany
Duration: Aug 4 2013Aug 6 2013

Publication series

NameOpenAccess Series in Informatics
Volume32
ISSN (Print)2190-6807

Other

Other2013 Workshop on Computational Models of Narrative, CMN 2013
CountryGermany
CityHamburg
Period8/4/138/6/13

Keywords

  • False memory
  • Semantic networks
  • Two-mode networks

ASJC Scopus subject areas

  • Geography, Planning and Development
  • Modeling and Simulation

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    Corman, S., Ball, B. H., Talboom, K. M., & Brewer, G. (2013). Assessing two-mode semantic network story representations using a false memory paradigm. In 2013 Workshop on Computational Models of Narrative, CMN 2013 (pp. 52-60). (OpenAccess Series in Informatics; Vol. 32). Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing. https://doi.org/10.4230/OASIcs.CMN.2013.52