Patent ID: 11868714
Assignee: ADOBE INC.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 5:
6. One or more non-transitory computer-readable media having a plurality of executable instructions embodied thereon, which, when executed by one or more processors, cause the one or more processors to perform a method for converting documents to finable documents, the method comprising:
obtaining a set of training documents;
identifying a group of similar training documents from the set of training documents;
identifying text differences within the group of similar training documents;

based on the identified text differences within the group of similar training documents, assigning a dynamic token state indicator to words in the training documents associated with the text differences; and
training a machine learning model using at least a subset of the group of similar training documents and corresponding dynamic token state indicators to generate a trained machine learning model that predicts token states for text in new documents, each token states comprising a static token that is to be maintained in a fillable document template or a dynamic token that is to be modified in the fillable document template.