Automatically deriving readers’ knowledge structures from texts

Latent semantic analysis (LSA) serves as both a theory and a method for representing the meaning of words based on a statistical analysis of their contextual usage (Foltz, 1996; Landauer & Dumais, 1997). In experiments in the domains of psychology and history, we compared the representation of readers’ knowledge structures of information learned from texts with the representation generated by LSA. Results indicated that LSA’s representation is similar to readers’ representations. In addition, the degree to which the reader’s representation is similar to LSA’s representation is indicative of the amount of knowledge the reader has acquired and of the reader’s reading ability. This approach has implications both as a model of learning from text and as a practical tool for performing knowledge assessment.

[1]  Peter W. Foltz.  Quantitative approaches to semantic knowledge representations , 1998 .

[2]  Charles A. Perfetti,et al.  How students use texts to learn and reason about historical uncertainty , 1994 .

[3]  Peter W. Foltz,et al.  An introduction to latent semantic analysis , 1998 .

[4]  Francis T. Durso,et al.  Network Structures in Proximity Data , 1989 .

[5]  C. Osgood,et al.  The Measurement of Meaning , 1958 .

[6]  Nancy J. Cooke,et al.  Toward an on-line knowledge assessment methodology: Building on the relationship between knowing and doing , 1996 .

[7]  Peter W. Foltz,et al.  Latent semantic analysis for text-based research , 1996 .

[8]  R. Shepard.  Representation of structure in similarity data: Problems and prospects , 1974 .

[9]  S. C. Johnson.  Hierarchical clustering schemes , 1967, Psychometrika.

[10]  Peter W. Foltz,et al.  Reasoning from Multiple Texts: An Automatic Analysis of Readers? Situation Models , 1996 .

[11]  Xiao-Li Meng,et al.  Comparing correlated correlation coefficients , 1992 .

[12]  Darrell Laham,et al.  Latent Semantic Analysis Approaches to Categorization , 1997 .

[13]  Roger W. Schvaneveldt,et al.  Pathfinder associative networks: studies in knowledge organization , 1990 .

[14]  T. Landauer,et al.  A Solution to Plato's Problem: The Latent Semantic Analysis Theory of Acquisition, Induction, and Representation of Knowledge. , 1997 .

[15]  Curt Burgess,et al.  Explorations in context space: Words, sentences, discourse , 1998 .

[16]  Peter W. Foltz,et al.  The Measurement of Textual Coherence with Latent Semantic Analysis. , 1998 .