SYSTEMS AND METHODS FOR GENERATING EXTRACTION MODELS

摘要

Disclosed systems and methods enable a user to train an extraction model by receiving a starting document and input from the user indicating tagged data from the starting document and creating an extraction model from the tagged data. Disclosed systems and methods also include identifying groups of additional documents based on a location of the starting document and displaying each of the groups to the user in order to receive a selection of at least one group from the user. Disclosed systems and methods also include applying the extraction model to the at least one group by evaluating the additional documents associated with the at least one group based on the extraction model to determine a confidence score for each of the additional documents, determining a document with a low confidence score, and displaying the particular document to the user to receive additional tagged data.