Invention Grant
- Patent Title: Analyzing technical documents against known art
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Application No.: US15401148Application Date: 2017-01-09
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Publication No.: US10282603B2Publication Date: 2019-05-07
- Inventor: Michael Bender , Joseph Celi , Gordan G. Greenlee , David Jaramillo
- 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: Keohane & D'Alessandro PLLC
- Agent Michael A. Petrocelli; Maxine L. Barasch
- Main IPC: G06K9/00
- IPC: G06K9/00 ; G06K9/46 ; G06F17/30

Abstract:
Embodiments of the present invention provide techniques for analyzing technical documents against known art. One or more machine learning classifiers are trained by a training set. References are ingested and assembled into a corpus. An input query is processed by natural language processing, and the classifiers are used to retrieve relevant documents and references, providing solutions to the input query. Anti-patterns are identified and provided to a user in the form of a report to alert the user to potential problems with the input query.
Public/Granted literature
- US20180197001A1 ANALYZING TECHNICAL DOCUMENTS AGAINST KNOWN ART Public/Granted day:2018-07-12
Information query