9. A computing machine comprising: a partitioner having an input for receiving a dictionary of documents related to entities and an output providing a set of partitions, each partition relating to an entity name; a statistics module having an input for receiving the dictionary and an output providing statistics regarding terms used in the dictionary; a classification builder having an input for receiving data about the partitions and an input for receiving the statistics, and providing data describing a classifier as an output, wherein the classifier incorporates, for at least one of the partitions, an estimated probability that is a function of a. a probability that an entity has the entity name related to the partition and b. an estimated size of a population larger than the dictionary.
9. A computing machine comprising: a partitioner having an input for receiving a dictionary of documents related to entities and an output providing a set of partitions, each partition relating to an entity name; a statistics module having an input for receiving the dictionary and an output providing statistics regarding terms used in the dictionary; a classification builder having an input for receiving data about the partitions and an input for receiving the statistics, and providing data describing a classifier as an output, wherein the classifier incorporates, for at least one of the partitions, an estimated probability that is a function of a. a probability that an entity has the entity name related to the partition and b. an estimated size of a population larger than the dictionary. 10. The computing machine of claim 9 , wherein the classifier is interpretable.