T. Landauer

Publications169
h-index61
Citations35,765
Highly Influential Citations2,943
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Indexing by Latent Semantic Analysis
TLDR
A new method for automatic indexing and retrieval to take advantage of implicit higher-order structure in the association of terms with documents (“semantic structure”) in order to improve the detection of relevant documents on the basis of terms found in queries.
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A Solution to Plato's Problem: The Latent Semantic Analysis Theory of Acquisition, Induction, and Representation of Knowledge.
TLDR
A new general theory of acquired similarity and knowledge representation, latent semantic analysis (LSA), is presented and used to successfully simulate such learning and several other psycholinguistic phenomena.
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An introduction to latent semantic analysis
TLDR
The adequacy of LSA's reflection of human knowledge has been established in a variety of ways, for example, its scores overlap those of humans on standard vocabulary and subject matter tests; it mimics human word sorting and category judgments; it simulates word‐word and passage‐word lexical priming data.
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Time required for Judgements of Numerical Inequality
TLDR
It is conceivable that such judgements are made in the same way as judgements of stimuli varying along physical continua, but numerical judgements may be made at a different, less perceptual and more cognitive, level.
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A mathematical model of the finding of usability problems
For 11 studies, we find that the detection of usability problems as a function of number of users tested or heuristic evaluators employed is well modeled as a Poisson process. The model can be used…
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The latent semantic analysis theory of knowledge
Handbook of latent semantic analysis
TLDR
This book discusses Latent Semantic Analysis as a Theory of Meaning, its application in Cognitive Theory, and its applications in Educational Applications.
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The vocabulary problem in human-system communication
TLDR
It is shown how this fundamental property of language limits the success of various design methodologies for vocabulary-driven interaction, and an optimal strategy, unlimited aliasing, is derived and shown to be capable of several-fold improvements.
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Using latent semantic analysis to improve access to textual information
TLDR
Initial tests find this completely automatic method widely applicable and a promising way to improve users' access to many kinds of textual materials, or to objects and services for which textual descriptions are available.
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The Measurement of Textual Coherence with Latent Semantic Analysis.
TLDR
The approach for predicting coherence through reanalyzing sets of texts from 2 studies that manipulated the coherence of texts and assessed readers’ comprehension indicates that the method is able to predict the effect of text coherence on comprehension and is more effective than simple term‐term overlap measures.
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