公开(公告)号：US11087081B1

公开(公告)日：2021-08-10

申请号：US16359930

申请日：2019-03-20

Applicant: Amazon Technologies, Inc.

Inventor： Amulya Srivastava ,  Vivek Bhadauria ,  Gowtham Jeyabalan ,  Paul H. Kang ,  Mohammed El Hamalawi

IPC: G06F40/00 ,  G06F40/186 ,  G06N3/04 ,  G06N20/00 ,  G06F40/117 ,  G06F40/169

Abstract: A synthetic document generator that obtains a configuration for a synthetic document derived from real-world documents. The configuration specifies element templates to be included in the synthetic document and weights for the specified element templates. The system generates synthetic documents based on the configuration; the synthetic documents include diversified versions of the element templates specified in the configuration. Annotation documents are generated for the synthetic documents that include information describing the respective synthetic documents. A machine learning model for analyzing real-world documents can then be trained using the synthetic and annotation documents. Feedback from the analysis of real-world documents by the machine learning model can be used to generate a new configuration for generating additional synthetic and annotation documents which are used to further train the model.