发明名称 CONCEPT NOISE REDUCTION IN DEEP QUESTION ANSWERING SYSTEMS
摘要 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.
申请公布号 US2014127647(A1) 申请公布日期 2014.05.08
申请号 US201213705345 申请日期 2012.12.05
申请人 INTERNATIONAL BUSINESS MACHINES CORP;INTERNATIONAL BUSINESS MACHINES CORPORATION 发明人 PETRI JOHN A.;STEVENS RICHARD J.
分类号 G09B19/00 主分类号 G09B19/00
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