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Inductive logic programming

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Inductive logic programming (ILP) is a machine learning approach, which uses techniques of logic programming. From a database of facts and expected results, which are divided into positive and negative examples, the ILP systems try to derive logic program.

Schema: positive examples + negative examples + background knowledge = rules.

Inductive logic programming is particularly useful in natural language processing.

Implementations