1. A method comprising: generating, by one or more devices, first scores indicating respective likelihood values that data stored in a first entry in a first database and data stored in second entries in a second database occur in a common document, the second database being separate from the first database, each of the first entry and the second entries including respective fields, and a particular field, of the respective fields, including information regarding a particular attribute of an object being represented by the first entry; identifying, by the one or more devices and based on the first scores, two or more of the second entries in the second database; generating, by the one or more devices, second scores for the two or more of the second entries, the two or more of the second entries including a particular second entry, the second scores including a second score for the particular second entry, the respective fields including first fields in the first entry and second fields in the particular second entry, the first fields including the particular field, and the second score for the particular second entry being generated based on comparing data stored in the first fields in the first entry and data stored in the second fields of the particular second entry; determining, by the one or more devices, that the second score satisfies a threshold; identifying, by the one or more devices, the particular second entry, of the two or more of the second entries, based on determining that the second score satisfies the threshold; and storing, by the one or more devices, information associating the first entry and the particular second entry.
5. The method of claim 1 , where generating the first scores further includes: generating first annotation information describing documents in a plurality of documents in which the data stored in the first entry occurs; generating second annotation information describing documents in the plurality of documents in which data stored in the particular second entry Occurs; comparing the first annotation information and the second annotation information to produce co-occurrence information; and using the co-occurrence information to generate a particular first score, of the first scores, associated with the particular second entry.