1. A method of training a relation detection model without supervision, the method comprising the acts of: searching a knowledge source for entity pairs associated by a relation defined by a knowledge graph; processing snippets returned by the knowledge source that contain both entities from the entity pair to generate training data; labeling the training data with the relation to produce annotated training data; and training the relation detection model using the annotated training data.