- Patent Title: Label-based document classification using artificial intelligence
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Application No.: US17100864Application Date: 2020-11-21
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Publication No.: US11809454B2Publication Date: 2023-11-07
- Inventor: Zhong Fang Yuan , Tong Liu , Li Juan Gao , Ming Jin Chen , Ke Yong Zhang
- Applicant: International Business Machines Corporation
- Applicant Address: US NY Armonk
- Assignee: International Business Machines Corporation
- Current Assignee: International Business Machines Corporation
- Current Assignee Address: US NY Armonk
- Agent Michael A. Petrocelli
- Main IPC: G06F16/00
- IPC: G06F16/00 ; G06F16/28 ; G06F40/30 ; G06F40/117 ; G06N20/00

Abstract:
Label-based document classification using artificial intelligence includes collecting, by one or more processors, a plurality of pre-trained classification models into a model pool and a plurality of documents into a document pool. The collected plurality of pre-trained classification models are applied in parallel to the plurality of documents in the document pool to generate a list of labels. Based on the list of labels, a final label result is generated according to which a baseline algorithm for document classification is generated by the one or more processors.
Public/Granted literature
- US20220164370A1 LABEL-BASED DOCUMENT CLASSIFICATION USING ARTIFICIAL INTELLIGENCE Public/Granted day:2022-05-26
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