1. A method, in a data processing system comprising a processor and a memory configured to implement a question and answer system (QA), for utilizing temporal indicators to weight semantic values, the method comprising: in response to receiving an input question, identifying a set of temporal characteristics for a set of candidate answers for the input question; associating an initial confidence score with each candidate answer of the set of candidate answers; refine each initial confidence score associated with each candidate answer in the set of initial candidate answers based on the set of temporal characteristics, wherein each confidence score associated with each candidate answer is refined based on the set of temporal characteristics using a reference time of the input question and a respective reference time associated with the candidate answer thereby forming a temporally refined confidence score associated with the candidate answer, wherein the temporally refined confidence score associated with the candidate answer is identified by: generating a distance value in terms of years for the respective reference time associated with the candidate answer and the reference time of the input question; determining a multiplier value with which to weight the confidence score associated with the candidate answer using the distance value using multiplier function: Multiplier value=1/(2*distance value+0.5); determining a sentiment value of the candidate answer to weight the determined multiplier value; and determining a final weight value for the temporally refined confidence score associated with the candidate answer using the multiplier value, the sentiment value, and the initial confidence score associated with the initial candidate answer; and providing a set of candidate answers with the temporally refined confidence scores to the user.
1. A method, in a data processing system comprising a processor and a memory configured to implement a question and answer system (QA), for utilizing temporal indicators to weight semantic values, the method comprising: in response to receiving an input question, identifying a set of temporal characteristics for a set of candidate answers for the input question; associating an initial confidence score with each candidate answer of the set of candidate answers; refine each initial confidence score associated with each candidate answer in the set of initial candidate answers based on the set of temporal characteristics, wherein each confidence score associated with each candidate answer is refined based on the set of temporal characteristics using a reference time of the input question and a respective reference time associated with the candidate answer thereby forming a temporally refined confidence score associated with the candidate answer, wherein the temporally refined confidence score associated with the candidate answer is identified by: generating a distance value in terms of years for the respective reference time associated with the candidate answer and the reference time of the input question; determining a multiplier value with which to weight the confidence score associated with the candidate answer using the distance value using multiplier function: Multiplier value=1/(2*distance value+0.5); determining a sentiment value of the candidate answer to weight the determined multiplier value; and determining a final weight value for the temporally refined confidence score associated with the candidate answer using the multiplier value, the sentiment value, and the initial confidence score associated with the initial candidate answer; and providing a set of candidate answers with the temporally refined confidence scores to the user. 4. The method of claim 1 , wherein the sentiment value is −1 if the determined sentiment is negative.