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Abstract: . As the amount of electronic information increases, traditional lexical (or Boolean) information retrieval techniques will become less useful. Large, heterogeneous collections will be difficult to search since the sheer volume of unranked documents returned in response to a query will overwhelm the user. Vector-space approaches to information retrieval, on the other hand, allow the user to search for concepts rather than specific words and rank the results of the search according to their... (Update)
Context of citations to this paper: More
...semantic similarity between terms. Attempts to incorporate some notion of term similarity include latent semantic indexing [8], the use of semantic networks [9] and probabilistic methods [5] In this paper we propose two methods for inferring such similarity from a corpus....
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BibTeX entry: (Update)
Letsche, T., Berry, M., \Large-scale information retrieval with latent semantic indexing", submitted to Information Sciences { Applications (1997). http://citeseer.ist.psu.edu/letsche97largescale.html More
@article{ letsche97largescale,
author = "Todd A. Letsche and Michael W. Berry",
title = "Large-Scale Information Retrieval with Latent Semantic Indexing",
journal = "Information Sciences",
volume = "100",
number = "1-4",
pages = "105-137",
year = "1997",
url = "citeseer.ist.psu.edu/letsche97largescale.html" }
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