Invention Grant
- Patent Title: Concept noise reduction in deep question answering systems
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Application No.: US13671810Application Date: 2012-11-08
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Publication No.: US09092740B2Publication Date: 2015-07-28
- Inventor: John E. Petri , Richard J. Stevens
- 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: Patterson & Sheridan, LLP
- Main IPC: G06F15/18
- IPC: G06F15/18 ; G06F17/00 ; G06N5/04 ; G06N99/00 ; G09B19/00

Abstract:
Method, computer program product, and system to perform an operation for a deep question answering system. The operation begins by computing a concept score for a first concept in a first case received by the deep question answering system, the concept score being based on a machine learning concept model for the first concept. The operation then excludes the first concept from consideration when analyzing a candidate answer and an item of supporting evidence to generate a response to the first case upon determining that the concept score does not exceed a predefined concept minimum weight threshold. The operation then increases a weight applied to the first concept when analyzing the candidate answer and the item of supporting evidence to generate the response to the first case when the concept score exceeds a predefined maximum weight threshold.
Public/Granted literature
- US20140129492A1 CONCEPT NOISE REDUCTION IN DEEP QUESTION ANSWERING SYSTEMS Public/Granted day:2014-05-08
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