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Vector Space Models of Semantics
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1
#63736
The idea of the VSM is to represent each document in a collection as a point in a space (a vector in a vector space). Points that are close together in this space are semantically similar and points that are far apart are semantically distant.
The user's query is represented as a point in the same space as the documents (the query is a pseudo-document). The documents are sorted in order of increasing distance (decreasing semantic similarity) from the query and then presented to the user.
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François Dongier »
François Dongier
François Dongier☜My background is in philosophy, artificial intelligence and formal semantics, I am a big fan of mindmapping and am very interested in Debategraph as a social mindmapping tool.☜F1CEB7
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My favorite topics☜☜EFB0B0
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Semantics☜Semantics is about modeling. Modeling concepts, modeling ideas, modeling people, modeling companies, modeling documents, modeling products, etc. Models represent entities, their properties and their interrelations.☜9FDDBE
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Linguistic analysis
Linguistic analysis☜☜9FDDBE
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Computational linguistics☜☜9FDDBE
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Vector Space Models of Semantics
Vector Space Models of Semantics☜The idea of the VSM is to represent each document in a collection as a point in a space (a vector in a vector space). Points that are close together in this space are semantically similar and points that are far apart are semantically distant.☜9FDDBE
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Author:
Peter D. Turney (National Research Council Canada), Patrick Pantel (Yahoo! Labs)
Cited by:
François Dongier
11:37 PM 24 May 2010 GMT
URL:
http://www.jair.org/media/2934/live-2934-4846-jair.pdf
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François Dongier
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#63736
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Entry date (GMT):
5/24/2010 11:33:00 PM
Last edit date (GMT):
5/24/2010 11:35:00 PM
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