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Latent semantic mapping

Known as: LSM 
Latent semantic mapping (LSM) is a data-driven framework to model globally meaningful relationships implicit in large volumes of (often textual) data… 
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Latent semantic analysisMac OS X 10.5 LeopardOutline of natural language processingSoftware framework

Broader (1)

Natural language processing

Papers overview

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2015
2015
Hierarchical Latent Semantic Mapping for automated topic generation
Much of information sits in an unprecedented amount of text data. Managing allocation of these large scale text data is an… 
2008
2008
Managing out-of-grammar utterances by topic estimation with domain extensibility in multi-domain spoken dialogue systems
2008
2008
An Investigation of Latent Semantic Mapping of Ontologies
In this thesis, applications of Latent Semantic Analysis on ontologies have been investigated. Psychological foundations of… 
2007
2007
Language-Independent Speaker Classification over a Far-Field Microphone
The speaker classification approach described in this contribution leverages the analysis of both speaker and verbal content… 
2007
2007
Topic estimation with domain extensibility for guiding user's out-of-grammar utterances in multi-domain spoken dialogue systems
In a multi-domain spoken dialogue system, a user’s utterances are more prone to be out-of-grammar, because this kind of system… 
2007
2007
Integrating Topic Estimation and Dialogue History for Domain Selection in Multi-domain Spoken Dialogue Systems
We present a method of robust domain selection against out-of-grammar (OOG) utterances in multi-domain spoken dialogue systems… 
2006
2006
Latent Semantic Mapping: Principles And Applications (Synthesis Lectures on Speech and Audio Processing)
Review
2005
Review
2005
Latent semantic mapping: dimensionality reduction via globally optimal continuous parameter modeling
  • J. Bellegarda
  • IEEE Workshop on Automatic Speech Recognition and…
  • 2005
  • Corpus ID: 39788998
Originally formulated in the context of information retrieval, latent semantic analysis exhibits three main characteristics: (i… 
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