SESSION 4: LARGE-SCALE STATISTICAL MODELS (of lexical semantics for today)

Papers

• 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. (Bruce Chang)
• Steyvers, M., & Tenenbaum, J. B. (2005). The large-scale structure of semantic networks: Statistical analyses and a model of semantic growth. Cognitive Science, 29, 41-78. (Firat Soylu)
• Regier, T. (2005). The emergence of words: Attentional learning in form and meaning. Cognitive Science, 29, 819-865. (Tom Wisdom)

Other Readings

• Jones, M. N., & Mewhort, D. J. K. (in press). Representing word meaning and order information in a composite holographic lexicon. Psychological Review.
• Jones, M. N., Kintsch, W., & Mewhort, D. J. K. (2006). High-dimensional semantic space accounts of priming. Journal of Memory and Language, 55, 534-552.
• Dennis, S. (2005). A memory-based theory of verbal cognition. Cognitive Science, 29, 145-193.
• Kwantes, P. J. (2005). Using context to build semantics. Psychonomic Bulletin & Review, 12, 703-710.

References

• Elman, J. L. (1990). Finding structure in time. Cognitive Science, 14, 179-211. (SRN paper)

Resources

• LSA website
• HAL website
• Matlab Topic modeling toolbox (Mark Steyvers)
• SP Model Java simulations (Simon Dennis)

CODE FROM CLASS:

Readme

Semantics.f95

Reading_Tools.f95

Number_Generators.f95

Neighbors.f95

Wikipedia Corpus

Elman Corpus

Stoplist

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