Eisenstein et al 2011: Sparse Additive Generative Models of Text
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Contents
Citation
Online version
[http:// Eisenstein et al 2011]
Summary
This is an interesting paper that presents and method for , which is an alternative training method for general problems in Probabilistic Graphical Models (e.g. possible applications include , , , and ).
Brief Description of the method
This paper first formulates the problem as xxx, then discusses the use of and the use of xxx to. In this section, we will first summarize the method they use
Dataset and Experiment Settings
[[File:]]
Experimental Results
The authors performed three major experiments. The first experiment is the . The second experiment explores.
Exp
[[File:]]
Exp
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Exp
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Related Papers
This paper is related to many papers in three dimensions.
(1) .
(2) .
(3) .
