173 search results - page 21 / 35 » Structural Representations for Learning Relations between Pa... |
167
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ICML
2006
IEEE
16 years 4 months ago
2006
IEEE
Latent Dirichlet allocation (LDA) and other related topic models are increasingly popular tools for summarization and manifold discovery in discrete data. However, LDA does not ca...
129
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PR
2007
15 years 3 months ago
2007
In this paper we address the problem of how to learn a structural prototype that can be used to represent the variations present in a set of trees. The prototype serves as a patte...
154
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IJCAI
2003
15 years 5 months ago
2003
Information extraction can be defined as the task of automatically extracting instances of specified classes or relations from text. We consider the case of using machine learni...
156
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SDM
2007
SIAM
15 years 5 months ago
2007
SIAM
Manifold learning is an effective methodology for extracting nonlinear structures from high-dimensional data with many applications in image analysis, computer vision, text data a...
132
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EMNLP
2006
15 years 5 months ago
2006
This paper demonstrates how unsupervised techniques can be used to learn models of deep linguistic structure. Determining the semantic roles of a verb's dependents is an impo...