1. A computer-implemented method for selecting types from a common annotation type system to identify a subject annotation type system, the computer performing the steps of: providing a reference set of document annotators, said reference set using the common annotation type system; providing a document corpus comprising a plurality of documents stored on a machine-readable medium; annotating one or more of said plurality of documents using at least one of said reference set of document annotators to generate a pre-annotated reference document set; annotating said one or more of said plurality of documents using the subject annotator to generate an evaluation annotated document set, each document in said evaluation annotated document set corresponding to a document in said one or more of said plurality of documents; comparing, using one or more processors, at least one of said documents in said evaluation annotated document set to its corresponding documents in said pre-annotated reference document set, to generate a matching data representing matches in location, within said compared documents, between instances of annotations using the subject annotation type system and instances of annotations using the common annotation type system; selecting, using said one or more processors, based on said matching data, a reference document annotation type system, comprised of one or more types from said common annotation type system, that meets a pre-determined correlation criterion with respect to said subject annotation type system; and identifying a taxonomy category for at least one annotation type in said reference annotation type system from among a set of known industry taxonomies.