Assessing Two-Mode Semantic Network Story Representations Using a False Memory Paradigm

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



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OASIcs.CMN.2013.53.pdf
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Author Details

Steven R. Corman
B. Hunter Ball
Kimberly M. Talboom
Gene A. Brewer

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Steven R. Corman, B. Hunter Ball, Kimberly M. Talboom, and Gene A. Brewer. Assessing Two-Mode Semantic Network Story Representations Using a False Memory Paradigm. In 2013 Workshop on Computational Models of Narrative. Open Access Series in Informatics (OASIcs), Volume 32, pp. 52-60, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2013)
https://doi.org/10.4230/OASIcs.CMN.2013.53

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.
Keywords
  • Semantic networks
  • two-mode networks
  • false memory

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