6. A method comprising: receiving data identifying an entity; parsing the data to extract the entity; generating in a computer system a group of candidate aspects for the entity, the computer system comprising one or more computers; for each of one or more pairs of candidate aspects, calculating a similarity score based on identifying respective sets of search results corresponding to respective queries of candidate aspects in the pair of candidate aspects and comparing search results in the sets of search results; modifying in the computer system the group of candidate aspects to generate a group of modified candidate aspects based on the similarity score for the candidate aspects, modifying comprising combining similar candidate aspects and grouping candidate aspects using one or more aspect classes each associated with one or more candidate aspects; ranking in the computer system one or more modified candidate aspects in the group of modified candidate aspects based on a diversity score and a popularity score, the popularity score for each of the modified candidate aspects based on a frequency of appearance of the modified candidate aspect and the diversity score for each of the modified candidate aspects based on similarity of the modified candidate aspect to other of the modified candidate aspects; and storing an association of one or more of the highest ranked modified candidate aspects with the entity in a data storage device of the computer system for presentation of each of the modified candidate aspects in combination with one or more search results that are specific to the modified candidate aspect.
15. The method of claim 6 , where grouping candidate aspects using one or more aspect classes includes: associating two or more candidate aspects with a respective aspect class; and grouping two or more candidate aspects into a single modified candidate aspect based on their aspect classes.