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ACL
2010
13 years 9 months ago
Generating Entailment Rules from FrameNet
Many NLP tasks need accurate knowledge for semantic inference. To this end, mostly WordNet is utilized. Yet WordNet is limited, especially for inference between predicates. To hel...
Roni Ben Aharon, Idan Szpektor, Ido Dagan
GEOS
2009
Springer
14 years 3 months ago
SPARQL Query Re-writing Using Partonomy Based Transformation Rules
Abstract. Often the information present in a spatial knowledge base is represented at a different level of granularity and abstraction than the query constraints. For querying onto...
Prateek Jain, Peter Z. Yeh, Kunal Verma, Cory A. H...
AUSAI
2007
Springer
14 years 3 months ago
Branching Rules for Satisfiability Analysed with Factor Analysis
Factor analysis is a statistical technique for reducing the number of factors responsible for a matrix of correlations to a smaller number of factors that may reflect underlying va...
Richard J. Wallace, Stuart Bain
CEC
2005
IEEE
14 years 1 months ago
COFRE: a fuzzy rule coevolutionary approach for multiclass classification problems
— This paper presents a technique for solving multiclass classification problems using a coevolutionary approach. There are m populations, where m is the number of classes. Indi...
Jonatan Gomez, Arturo Garcia, Camilo Silva
COGSCI
2008
129views more  COGSCI 2008»
13 years 11 months ago
A Rational Analysis of Rule-Based Concept Learning
We propose a new model of human concept learning that provides a rational analysis for learning of feature-based concepts. This model is built upon Bayesian inference for a gramma...
Noah D. Goodman, Joshua B. Tenenbaum, Jacob Feldma...