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DEFT

DEFT is an inductive transfer system for improving rule evaluation from limited training examples. It was developed by Mark Reid as part of his Ph.D. dissertation "DEFT Guessing: Using Inductive Transfer to Improve Rule Evaluation from Limited Data".

The system and datasets described in that thesis can be found here.