Automatically deriving readers' knowledge structures from texts

Behavior Research Methods, Instruments, and Computers

Volumn 31, Issue 2, 1999, Pages 208-214

  Foltz, Peter W ^a   Wells, Amber D ^a  

^a NEW MEXICO STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; COMPARATIVE STUDY; HUMAN; KNOWLEDGE; READING; SEMANTICS;

HUMANS; KNOWLEDGE; READING; SEMANTICS;

EID: 0033129672     PISSN: 07433808     EISSN: None     Source Type: Journal    
DOI: 10.3758/BF03207712     Document Type: Article

References (17)

1. BURGESS, C., LIVESAY, K., & LUND, K. (1998). Explorations in context space: Words, sentences, discourse. Discourse Processes, 25, 211-257.
2. FOLTZ, P. W. (1996). Latent semantic analysis for text-based research. Behavior Research Methods, Instruments, & Computers, 28, 197-202.
3. FOLTZ, P. W. (1998). Computational approaches to semantic knowledge representations. Discourse Processes, 25, 127-130.
4. FOLTZ, P. W., BRITT, M. A., & PERFETTI, C. A. (1996). Reasoning from multiple texts: An automatic analysis of readers' situation models. In G. W. Cottrell (Ed.), Proceedings of the Eighteenth Annual Cognitive Science Conference (pp. 110-115). Hillsdale, NJ: Erlbaum.
5. FOLTZ, P. W., KINTSCH, W., & LANDAUER, T. K. (1998). The measurement of textual coherence with latent semantic analysis. Discourse Processes, 25, 285-307.
6. JOHNSON, S. C. (1967). Hierarchical clustering schemes. Psychometrika, 32, 241-254.
7. LAHAM, D. (1997). Latent semantic analysis approaches to categorization. In M. G. Shafto & P. Langley (Eds.), Proceedings of the Nineteenth Annual Cognitive Science Conference (p. 979). Hillsdale, NJ: Erlbaum.
8. LANDAUER, T. K., & DUMAIS, S. T. (1997). A solution to Plato's problem: The latent semantic analysis theory of acquisition, induction, and representation of knowledge. Psychological Review, 104, 211-240.
9. LANDAUER, T. K., FOLTZ, P. W., & LAHAM, D. (1998). An introduction to latent semantic analysis. Discourse Processes, 25, 259-284.
10. MENG, X. L., ROSENTHAL, R., & RUBIN, D. B. (1992). Comparing correlated correlation coefficients. Psychological Bulletin, 111, 172-175.
11. MYERS, D. G. (1995). Psychology (4th ed.). New York: Worth.
12. OSGOOD, C. E., SUCI, G. J., & TANNENBAUM, P. H. (1957). The measurement of meaning. Urbana: University of Illinois Press.
13. PERFETTI, C. A., BRITT, M. A., ROUET, J. F., GEORGI, M. C., & MASON, R. A. (1994). How students use texts to learn and reason about historical uncertainty. In M. Carretero & J. F. Voss (Eds.), Cognitive and instructional processes in history and the social sciences (pp. 257-283). Hillsdale, NJ: Erlbaum.
14. ROWE, A. L., COOKE, N. J., HALL, E. P., & HALGREN, T. L. (1996). Toward an on-line knowledge assessment methodology: Building on the relationship between knowledge and doing. Journal of Experimental Psychology: Applied, 2, 31-47.
15. SCHVANEVELDT, R. W. (1990). Pathfinder associative networks studies in knowledge organization. Norwood, NJ: Ablex.
16. SCHVANEVELDT, R. W., DURSO, F. T., & DEARHOLT, D. W. (1989). Network structures in proximity data. In G. H. Bower (Ed.), The psychology of learning and motivation: Advances in research and theory (Vol. 24, pp. 249-284). New York: Academic Press.
17. SHEPARD, R. N. (1974). Representation of structure in similarity data: Problems and prospects. Psychometrika, 39, 373-421.