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» Unsupervised Relation Extraction by Massive Clustering
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MICCAI
2008
Springer
14 years 8 months ago
Spectral Clustering as a Diagnostic Tool in Cross-Sectional MR Studies: An Application to Mild Dementia
Abstract. Structural imaging investigations commonly apply a segmentation step followed by the extraction of feature data that can be used to compare or discriminate groups. We pre...
Paul Aljabar, Daniel Rueckert, William R. Crum
WWW
2007
ACM
14 years 8 months ago
U-REST: an unsupervised record extraction system
In this paper, we describe a system that can extract record structures from web pages with no direct human supervision. Records are commonly occurring HTML-embedded data tuples th...
Yuan Kui Shen, David R. Karger
IJCAI
2007
13 years 9 months ago
Extracting Keyphrases to Represent Relations in Social Networks from Web
Social networks have recently garnered considerable interest. With the intention of utilizing social networks for the Semantic Web, several studies have examined automatic extract...
Junichiro Mori, Mitsuru Ishizuka, Yutaka Matsuo
COLING
2010
13 years 2 months ago
Semi-supervised Semantic Pattern Discovery with Guidance from Unsupervised Pattern Clusters
We present a simple algorithm for clustering semantic patterns based on distributional similarity and use cluster memberships to guide semi-supervised pattern discovery. We apply ...
Ang Sun, Ralph Grishman
MM
2005
ACM
146views Multimedia» more  MM 2005»
14 years 1 months ago
Unsupervised content discovery in composite audio
Automatically extracting semantic content from audio streams can be helpful in many multimedia applications. Motivated by the known limitations of traditional supervised approache...
Rui Cai, Lie Lu, Alan Hanjalic