Invention Grant
- Patent Title: Remote neural network processing for guideline identification
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Application No.: US15590066Application Date: 2017-05-09
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Publication No.: US11080486B2Publication Date: 2021-08-03
- Inventor: Bibo Hao , Gang Hu , Jian Min Jiang , Jing Mei , Changhua Sun , Guo Tong Xie
- 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
- Agency: Law Office of Jim Boice
- Main IPC: G06F40/30
- IPC: G06F40/30 ; G06F16/33 ; G06N3/04 ; G06F40/216

Abstract:
A computer implemented method identifies guidelines through use of a neural network by a remote guideline server. A client computer transmits instructions to the remote guideline server to retrieve and evaluate multiple candidate guidelines. The remote guideline server utilizes a neural network to identify a string of terms found in each of the multiple candidate guidelines that match one or more strings of terms from a model guideline; to identify a semantic concept of each of the multiple candidate guidelines that matches one or more semantic concepts from the model guideline; and to identify a structural pattern of each of the multiple candidate guidelines that matches one or more structural patterns of the model guideline. The candidate guidelines that match the model guideline are then sent from the remote guideline server to the client computer.
Public/Granted literature
- US20180330230A1 REMOTE NEURAL NETWORK PROCESSING FOR GUIDELINE IDENTIFICATION Public/Granted day:2018-11-15
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