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» Predicting Strong Associations on the Basis of Corpus Data
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EMNLP
2009
13 years 2 months ago
EEG responds to conceptual stimuli and corpus semantics
Mitchell et al. (2008) demonstrated that corpus-extracted models of semantic knowledge can predict neural activation patterns recorded using fMRI. This could be a very powerful te...
Brian Murphy, Marco Baroni, Massimo Poesio
BMCBI
2010
114views more  BMCBI 2010»
13 years 5 months ago
An integrative modular approach to systematically predict gene-phenotype associations
Background: Complex human diseases are often caused by multiple mutations, each of which contributes only a minor effect to the disease phenotype. To study the basis for these com...
Michael R. Mehan, Juan Nunez-Iglesias, Chao Dai, M...
LREC
2008
171views Education» more  LREC 2008»
13 years 6 months ago
Corpus Co-Occurrence, Dictionary and Wikipedia Entries as Resources for Semantic Relatedness Information
Distributional, corpus-based descriptions have frequently been applied to model aspects of word meaning. However, distributional models that use corpus data as their basis have on...
Michael Roth, Sabine Schulte im Walde
SIGMOD
1997
ACM
148views Database» more  SIGMOD 1997»
13 years 9 months ago
Beyond Market Baskets: Generalizing Association Rules to Correlations
One of the most well-studied problems in data mining is mining for association rules in market basket data. Association rules, whose significance is measured via support and confi...
Sergey Brin, Rajeev Motwani, Craig Silverstein