OASIcs.CMN.2013.53.pdf
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Assessing Two-Mode Semantic Network Story Representations Using a False Memory Paradigm
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2013 Workshop on Computational Models of Narrative (CMN 2013)
Series: Open Access Series in Informatics (OASIcs) - License:
Creative Commons Attribution 3.0 Unported license
- Publication Date: 2013-08-02
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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.
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Keywords
- Semantic networks
- two-mode networks
- false memory
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