公开(公告)号：US20250068847A1

公开(公告)日：2025-02-27

申请号：US18453236

申请日：2023-08-21

Applicant: Google LLC

Inventor： Vincent Perot ,  Florian Luisier ,  Kai Kang ,  Ramya Sree Boppana ,  Jiaqi Mu ,  Xiaoyu Sun ,  Carl Elie Saroufim ,  Guolong Su ,  Hao Zhang ,  Nikolay Alexeevich Glushnev ,  Nan Hua ,  Yun-Hsuan Sung ,  Michael Yiupun Kwong

IPC: G06F40/295 ,  G06V30/19

Abstract: Systems and methods for performing document entity extraction are described herein. The method can include receiving an inference document and a target schema. The method can also include generating one or more document inputs from the inference document and one or more schema inputs from the target schema. The method can further include, for each combination of the document input and schema input, obtaining one or more extraction inputs by generating a respective extraction input based on the combination, providing the respective extraction input to the machine-learned model, and receiving a respective output of the machine-learned model based on the respective extraction. The method can also include validating the extracted entity data based on reference spatial locations and inference spatial locations and outputting the validated extracted entity data.