Deep learning based document splitter
AssigneeUiPath, Inc.
InventorsRukma TALWADKER, Radhakrishnan IYER
Life of this patent
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Abstract
Systems and methods for splitting an electronic file into sub-documents are provided. The electronic file is received. Portions of the electronic file are classified using a trained machine learning based model. The classifications represent relative positions of the portions within sub-documents of the electronic file. The electronic file is split into the sub-documents based on the relative positions of the portions. The sub-documents are output.
Claims23
A computer-implemented method comprising:
- classifying portions of an electronic file using a trained machine learning based model, the classifications representing relative positions of the portions within sub-documents of the electronic file;
- splitting the electronic file into the sub-documents based on the relative positions of the portions;
- and
- outputting the sub-documents.
An apparatus comprising:
- a memory storing computer instructions;
- and
- at least one processor configured to execute the computer instructions, the computer instructions configured to cause the at least one processor to perform operations of:
- classifying portions of an electronic file using a trained machine learning based model, the classifications representing relative positions of the portions within sub-documents of the electronic file;
- splitting the electronic file into the sub-documents based on the relative positions of the portions;
- and
- outputting the sub-documents.
A computer program embodied on a non-transitory computer-readable medium, the computer program configured to cause at least one processor to perform operations comprising:
- classifying portions of an electronic file using a trained machine learning based model, the classifications representing relative positions of the portions within sub-documents of the electronic file;
- splitting the electronic file into the sub-documents based on the relative positions of the portions;
- and
- outputting the sub-documents.
Dependencies are inferred from the claim text.