1. A method, in a data processing system, for identifying commonalities between candidate answers generated by a Question and Answer (QA) system in response to an input question, the method comprising: receiving, by the data processing system, a plurality of candidate answers for an input question from the QA system; identifying, by the data processing system, terms present in the candidate answers; determining, by the data processing system, relationships between terms in each of the candidate answers; determining, by the data processing system, a common relationship between a first term and a second term, the common relationship being common amongst at least a subset of the plurality of candidate answers, based on the determined relationships between terms in each of the candidate answers; and presenting, by the data processing system, the plurality of candidate answers and the common relationship to a user.
1. A method, in a data processing system, for identifying commonalities between candidate answers generated by a Question and Answer (QA) system in response to an input question, the method comprising: receiving, by the data processing system, a plurality of candidate answers for an input question from the QA system; identifying, by the data processing system, terms present in the candidate answers; determining, by the data processing system, relationships between terms in each of the candidate answers; determining, by the data processing system, a common relationship between a first term and a second term, the common relationship being common amongst at least a subset of the plurality of candidate answers, based on the determined relationships between terms in each of the candidate answers; and presenting, by the data processing system, the plurality of candidate answers and the common relationship to a user. 2. The method of claim 1 , wherein at least one of the first term or the second term is an entity having an entity type.