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Indexing by Latent Semantic Analysis
TLDR
A new method for automatic indexing and retrieval is described. Expand
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Indexing by Latent Semantic Analysis
TLDR
A new method for automatic indexing and retrieval is described. Expand
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A mathematical model of the finding of usability problems
TLDR
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. Expand
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The vocabulary problem in human-system communication
TLDR
We studied spontaneous word choice for objects in five application-related domains, and found the variability to be surprisingly large. Expand
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Using latent semantic analysis to improve access to textual information
TLDR
This paper describes a new approach for dealing with the vocabulary problem in human-computer interaction. Expand
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The Measurement of Textual Coherence with Latent Semantic Analysis.
TLDR
Latent Semantic Analysis is used as a technique for measuring the coherence of texts and is able to predict the effect of text coherence on comprehension. Expand
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Information Retrieval using a Singular Value Decomposition Model of Latent Semantic Structure
TLDR
In a new method for automatic indexing and retrieval, implicit higher-order structure in the association of terms with documents is modeled to improve estimates of term-document association, and therefore the detection of relevant documents on the basis of terms found in queries. Expand
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Automatic Cross-Language Information Retrieval Using Latent Semantic Indexing
TLDR
We describe a method for fully automated cross-language document retrieval in which no query translation is required. Expand
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Automatic Cross-Language Retrieval Using Latent Semantic Indexing
TLDR
We describe a method that automatically constructs a multilingual semantic space using Latent Semantic Indexing (LSI) for cross-language document retrieval in which no query translation is required. Expand
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