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

Steven Corman, B Hunter Ball, Kimberly Talboom, Gene Brewer
unpublished
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
more » ... pants report false memories consistent with the induced paths. Implications for further research and two-mode semantic representations are discussed. 1998 ACM Subject Classification I.2.4 Knowledge Representation Formalisms and Methods
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