1. A method for processing natural language text with an information extraction application having at least one processing component, the method comprising the steps of: executing the following steps in a run time engine pre-deployment thereof: gathering a set of input data, the set of data having a predetermined code associated therewith; normalizing the set of data into a predetermined format; in a development environment, executing the following steps: importing the normalized and formatted data into the development environment defining an information extraction problem; selecting at least one subset of a data from the input data for exploration and development of the first subset data based upon the information extraction problem; adjusting the at least one processing component to match the problem definition and at least one of the input and the first subset data; annotating at least one of the input data and the first subset data to include predetermined annotations corresponding at least one of the input data and the first subset data; and evaluating the resulting annotations to upon a predetermined accuracy threshold.
2. The method according to claim 1 , further comprising the step of extracting a data set ftom the set of input text according to the predetermined code.