Invention Grant
- Patent Title: Automated categorization and summarization of documents using machine learning
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Application No.: US17161637Application Date: 2021-01-28
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Publication No.: US12159105B2Publication Date: 2024-12-03
- Inventor: Gurpreet Singh Bawa , Kaustav Pakira , Souvik Chakraborty
- Applicant: Accenture Global Solutions Limited
- Applicant Address: IE Dublin
- Assignee: Accenture Global Solutions Limited
- Current Assignee: Accenture Global Solutions Limited
- Current Assignee Address: IE Dublin
- Main IPC: G06F40/20
- IPC: G06F40/20 ; G06F16/93 ; G06N20/00

Abstract:
Aspects of the present disclosure provide systems, methods, and computer-readable storage media that support automated summarization of documents using machine learning and artificial intelligence. The summaries include document category-specific summaries for different categories of documents. To illustrate, a document processing device may receive input data representing a document and provide first feature data based on the input data to one or more machine learning (ML) models to select a document category of a plurality of predefined document categories. The document processing device may provide second feature data based on the input data to a second set of ML models associated with the selected document category to generate annotation data associated with the document. The document processing device may provide the annotation data to a third set of ML models to generate a summary of the document, and the document processing device may generate an output based on the summary.
Public/Granted literature
- US20220237373A1 AUTOMATED CATEGORIZATION AND SUMMARIZATION OF DOCUMENTS USING MACHINE LEARNING Public/Granted day:2022-07-28
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