1. A method to analyze a plurality of candidate answers identified as responsive to a question presented to a deep question answering system, the method comprising: computing a first feature score for a first feature of an item of evidence, of a plurality of items of evidence, wherein the first feature score is based on at least one attribute of the first feature, wherein the item of evidence relates to a first candidate answer, of the plurality of candidate answers; and computing, by operation of one or more computer processors, 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.