Experiments on cardinality-aware rule learning
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carl
eval
.gitignore
README.md
technical_report.pdf

README.md

CARL

CARL stands for Completeness-Aware Rule Learning and is an experimental rule learning system for knowledge base that uses cardinality as input. It have been created to experiments new rule learning techniques.

The documentation for the rule mining system is in carl/README.md and the documentation for each experimentation is in the README.md of their folders.