Invention Grant
US09542496B2 Effective ingesting data used for answering questions in a question and answer (QA) system
有权
有效摄取用于在问答中(QA)系统回答问题的数据
- Patent Title: Effective ingesting data used for answering questions in a question and answer (QA) system
- Patent Title (中): 有效摄取用于在问答中(QA)系统回答问题的数据
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Application No.: US14295556Application Date: 2014-06-04
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Publication No.: US09542496B2Publication Date: 2017-01-10
- Inventor: Elizabeth T. Dettman , Joel C. Dubbels , Andrew R. Freed , John E. Petri , Michael W. Schroeder
- 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 Francis Lammes; Stephen J. Walder, Jr; William J. Stock
- Main IPC: G06F17/30
- IPC: G06F17/30

Abstract:
A mechanism is provided, in a data processing system comprising a processor and a memory configured to implement a question and answer (QA) system, for effectively ingesting data for answering questions in the QA system. A received input question having a set of question characteristics is parsed, which are compared to question characteristics associated with a set of previous questions. Responsive to the set of question characteristics matching the question characteristics associated with one or more previous questions above a related-question predetermined threshold, identification is made as to whether answers to the one or more previous questions were obtained from static information sources or real-time information sources. Responsive to the answers to the one or more previous questions being obtained from the real-time information sources above the predetermined real-time threshold, real-time information sources related to the characteristics of the input question are initially utilized to answer the input question.
Public/Granted literature
- US20150356181A1 Effectively Ingesting Data Used for Answering Questions in a Question and Answer (QA) System Public/Granted day:2015-12-10
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