Invention Grant
- Patent Title: Using cohorts to infer attributes for an input case in a question answering system
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Application No.: US14626052Application Date: 2015-02-19
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Publication No.: US09818062B2Publication Date: 2017-11-14
- Inventor: Adam T. Clark , Jeffrey K. Huebert , Aspen L. Payton , John E. Petri , Richard J. Stevens , Kathryn L. Whaley
- 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: Martin & Associates, LLC
- Agent Bret J. Peterson
- Main IPC: G06N5/04
- IPC: G06N5/04 ; G06F17/30

Abstract:
A cohort analysis mechanism analyzes cohorts to infer one or more additional attributes for an input case to provide a refined input case to answer a question in a question answering system. The refined input case is then used to answer a question in the question answering system. The refined input case can be used in a traditional question answering flow or in a flow that again uses cohort analysis to extract relevant data to answer the question. The cohort analysis mechanism analyzes cohorts to find common attributes in the cohorts and then determines whether to infer the common attributes into the refined input case. The cohort analysis mechanism may determine to dialog with a user to confirm an inferred attribute.
Public/Granted literature
- US20160247071A1 USING COHORTS TO INFER ATTRIBUTES FOR AN INPUT CASE IN A QUESTION ANSWERING SYSTEM Public/Granted day:2016-08-25
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