18. A method performed by a computer system executing machine-readable instructions, the method comprising acts of: receiving a structured knowledge base of entities and attributes; computing intermediate features of the entities and attributes, the intermediate features include importance of each entity type for each entity, popularity of attributes for each entity type, term frequency compensation for each attribute on a global basis, and term frequency compensation for each entity type; aggregating the intermediate features to output a final feature set of features; training a classifier model using the final feature set of features, the training based on a set of human judgments from human judges; generating a relevance score for a given entity and associated attributes based on the classifier model; ranking the attributes of the given entity based on the relevance scores; and configuring a microprocessor to execute instructions in a memory associated with at least one of the acts of computing, aggregating, training, generating, or ranking.
18. A method performed by a computer system executing machine-readable instructions, the method comprising acts of: receiving a structured knowledge base of entities and attributes; computing intermediate features of the entities and attributes, the intermediate features include importance of each entity type for each entity, popularity of attributes for each entity type, term frequency compensation for each attribute on a global basis, and term frequency compensation for each entity type; aggregating the intermediate features to output a final feature set of features; training a classifier model using the final feature set of features, the training based on a set of human judgments from human judges; generating a relevance score for a given entity and associated attributes based on the classifier model; ranking the attributes of the given entity based on the relevance scores; and configuring a microprocessor to execute instructions in a memory associated with at least one of the acts of computing, aggregating, training, generating, or ranking. 20. The method of claim 18 , further comprising training the classifier model using the final feature set and an aggregation function to generate the relevance score for the given entity and associated attribute.