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| Group Papers |
Here are some papers written by members of the LSA group. Most papers are available as either Postscript or PDF files, although for some of the papers there is an associated HTML file.
After each citation, the available formats are listed.
Michael B.W. Wolfe and Susan R.Goldman. (2003) Use of Latent Semantic Analysis
for Predicting Psychological Phenomena: Two Issues and Proposed Solutions.
Behaviour Research Methods, 2003, 35, 22-31
PDF
Kintsch, W. and Bowles, A. (2002) Metaphor comprehension:
What makes a metaphor difficult to understand?
Metaphor and Symbol, 2002, 17, 249-262
PDF
Gonzalez, C. and Quesada, J.(submitted) Learning in a Dynamic Decision Making Task: The Recognition Process Computational and Mathematical Organization Theory
Quesada, J., Kintsch, W., and Gomez E. (in press) Complex Problem Solving: A field in search for a definition? Theoretical issues in Ergonomic Science
Quesada, J.F, Kintsch, W. and Gomez, E. (2001) A Computational Theory of Complex Problem Solving Using the Vector Space Model (part I): Latent Semantic Analysis, Through the Path of Thousands of Ants. In Caņas (Ed.) Cognitive resarch with Microworlds, , 43-84, pp. 117-131
Quesada, J.F, Kintsch, W. and Gomez, E. (2001) A Computational Theory of Complex Problem Solving Using the Vector Space Model (part II): Latent Semantic Analysis Applied to Empirical Results from Adaptation Experiments. In Caņas (Ed.) Cognitive resarch with Microworlds, , 43-84, pp. 117-131
Quesada, J.F, Kintsch, W. and Gomez, E. (2002) A theory of Complex Problem Solving using Latent Semantic Analysis. In W. D. Gray & C. D. Schunn (Eds.) Proceedings of the 24th Annual Conference of the Cognitive Science Society Fairfax, VA. Lawrence Erlbaum Associates , Mahwah, NJ., pp. 750-755
Landauer, T. K. (2002). On the computational basis of learning and cognition: Arguments from LSA. In N. Ross (Ed.), The psychology of learning and motivation, 41, 43-84.
Foltz, P. W., Kintsch, W.,& Landauer, T. K. (1998). The
measurement of textual Coherence with Latent Semantic
Analysis. Discourse Processes, 25, 285-307.
PDF
Kintsch, E., Steinhart, D., Stahl, G. & LSA research group (2000)
Developing Summarization Skills through the Use of LSA-Based Feedback.
Interactive learning environments,8(2) , 87-109
PDF
Kintsch, W.(2002) On the notions of theme and topic in psychological
process models of text comprehension.
In M. Louwerse & W. van Peer (Eds.)
Thematics : Interdisciplinary Studies,
Amsterdam, Benjamins , 157-170
PDF
Kintsch, W.(2001) Predication. Cognitive Science 25, 173-202
PDF
Kintsch, W.(2000). Metaphor comprehension: A computational
theory. Psyhonomic Bulletin and Review., 7, 257-266
PDF
Kintsch, W., Patel, V.L., & Ericsson, K. A. (1999)
The role of long-term working memory in text comprehension.
Psychologia 42, 186-198
PDF
Steinhart, D. (2001)Summary Street: an intelligent
tutoring system for improving student writing
through the use of latent semantic analysis
Unpublished doctoral dissertation,
Institute of Cognitive Science, University of Colorado, Boulder
PDF
Laham, D. (1997). Latent Semantic Analysis approaches to
categorization. In M. G. Shafto & P. Langley (Eds.),
Proceedings of the 19th annual meeting of the Cognitive
Science Society (p. 979). Mawhwah, NJ: Erlbaum.
PDF
Landauer, T. K., & Dumais, S. T. (1997). A solution to Plato's
problem: The Latent Semantic Analysis theory of the
acquisition, induction, and representation of knowledge.
Psychological Review, 104, 211-240.
HTML
Landauer, T. K., Foltz, P. W., & Laham, D. (1998).
Introduction to Latent Semantic Analysis. Discourse
Processes, 25, 259-284.
PDF
Landauer, T. K., Laham, D., & Foltz, P. W., (1998).
Learning human-like knowledge by Singular Value
Decomposition: A progress report. In M. I. Jordan,
M. J. Kearns & S. A. Solla (Eds.), Advances in
Neural Information Processing Systems 10,(pp. 45-51).
Cambridge: MIT Press.
PDF
Landauer, T. K., Laham, D., Rehder, B., & Schreiner, M. E.,
(1997). How well can passage meaning be derived without
using word order? A comparison of Latent Semantic
Analysis and humans. In M. G. Shafto & P. Langley (Eds.),
Proceedings of the 19th annual meeting of the Cognitive
Science Society (pp. 412-417). Mawhwah, NJ: Erlbaum.
PDF
Rehder, B., Schreiner, M. E., Wolfe, M. B., Laham, D.,
Landauer, T. K., & Kintsch, W. (1998). Using
Latent Semantic Analysis to assess knowledge: Some
technical considerations. Discourse Processes, 25,
337-354.
PDF
Soto, R.(1998). Learning and performing by Exploration:
Label quality measured by Latent Semantic Analysis.
Submitted Manuscript.
PostscriptPDF
Kintsch, E., Steinhart, D., Stahl, G. & LSA Research Group.(in press).
Developing Summarization Skills through the Use of LSA-Based Feedback.
Interactive Learning Environments.
Postscript PDF
Wolfe, M. B., Schreiner, M. E., Rehder, B., Laham, D.,
Foltz, P. W., Kintsch, W., & Landauer, T. K. (1998).
Learning from text: Matching readers and text by Latent
Semantic Analysis. Discourse Processes, 25, 309-336.
PDF
Peter Foltz's Papers Page at New Mexico State
|
Some papers & slide sets lifted from Susan T. Dumais's paper page. Check it out for more LSA/LSI information. |
Deerwester, S., Dumais, S. T., Furnas, G. W., Landauer, T. K.,
& Harshman, R. (1990). Indexing By Latent Semantic Analysis.
Journal of the American Society For Information
Science, 41, 391-407.
PDF
Dumais, Landauer, & Littman. Automatic cross language information
retrieval using Latent Semantic Analysis. Aug. 22, 1996.
SigIR Multilingual IR Workshop. Powerpoint Presentation.
(16 slides).
PDF
Dumais, S. T. Using Latent Semantic Indexing (LSI) for information
retrieval, information filtering and other things.
April 4, 1997. Powerpoint Presentation.
(28 slides).
PDF