MULTI-DIMENSIONAL FEATURE MERGING FOR SUPPORTING EVIDENCE IN A QUESTION AND ANSWERING SYSTEM

Method, system, and computer program product to analyze a plurality of candidate answers identified as responsive to a question presented to a deep question answering system, by computing a first feature score for a first feature of an item of evidence, of a plurality of items of evidence, the first...

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Bibliographic Details
Main Authors WILDT PATRICK M, STEVENS RICHARD J, WILL ERIC W, EGGEBRAATEN THOMAS J, RAPP WILLIAM C, DUBBELS JOEL C, MEGERIAN MARK G
Format Patent
LanguageEnglish
Published 19.06.2014
Subjects
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
PHYSICS
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Summary:Method, system, and computer program product to analyze a plurality of candidate answers identified as responsive to a question presented to a deep question answering system, by computing a first feature score for a first feature of an item of evidence, of a plurality of items of evidence, the first feature score being based on at least one attribute of the first feature, the item of evidence relating to a first candidate answer, of the plurality of candidate answers, and computing a merged feature score for the first candidate answer by applying the first feature score to a second feature score for a second feature of the item of evidence.
Bibliography:Application Number: US201213716579