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Abstract: One persistent problem in cognition is how people acquire large amount knowledge on the basis of relatively little information they get. Some statistical models have been proposed which claim to at least partially present a solution to this problem. In these models, statistical analysis of large amounts of text is performed to produce a high-dimensional representation of words or passages in a "semantic space." These representations are claimed to represent meanings of words or passages. I... (Update)
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BibTeX entry: (Update)
@misc{ desai-review,
author = "Rutvik Desai",
title = "A Review of two Statistical Models of Knowledge Representation, Acquisition,
and Memory",
url = "citeseer.ist.psu.edu/79936.html" }
Citations (may not include all citations):197 Lectures on government and binding (context) - Chomsky - 1981
87 A solution to Plato's problem: The Latent Semantic Analysis .. (context) - Landauer, Dumais - 1997
32 Situated Cognition: On Human Knowledge and Computer Represen.. (context) - Clancey - 1997
13 The language instinct: how the mind creates language (context) - Pinker - 1994
9 Mechanisms of language acquisition (context) - Ed - 1990
4 Constraints on word meaning in early language acquisition (context) - Markman - 1994
3 Latent semantic analysis and the measurement of knowledge (context) - Landauer, Dumais - 1994
1 The principle of contrast: A constraint on language acquisit.. (context) - Mass, Press - 1987
Documents on the same site (http://www.cs.indiana.edu/l/www/l/www/hyplan/rudesai/research.html): More
High-Dimensional Wavelet Modeling - Dhar, Desai (1996) (Correct)
On the Relation between Episodic and Semantic Memories - Desai (1997) (Correct)
Learning Syntactic Frames with Simple Recurrent Networks - Rutvik Desai (Correct)
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