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Assessing Two-Mode Semantic Network Story Representations Using a False Memory Paradigm Corman, Steven R. Ball, B. Hunter Talboom, Kimberly M. Brewer, Gene A. Semantic networks two-mode networks false memory 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. Schloss Dagstuhl – Leibniz-Zentrum für Informatik Steven R. Corman and B. Hunter Ball and Kimberly M. Talboom and Gene A. Brewer 2013 Is Part Of OASIcs, Volume 32, 2013 Workshop on Computational Models of Narrative InProceedings Text doc-type:ResearchArticle publishedVersion application/pdf doi:10.4230/OASIcs.CMN.2013.53 urn:nbn:de:0030-drops-41479 https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.CMN.2013.53 eng https://creativecommons.org/licenses/by/3.0/legalcode