Summary

Inference plays a key role in NLP.

Nontrivial question answering involves inference.

DBQ expresions can be evaluated against a database.

Forwards inference is driven by the available premises.

Backwards inference is driven by the desired conclusion.

Full logical inference may never terminate.

Inheritance networks provide efficient but restricted inference.

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