1. A method for determining a query answer selection, the method comprising: receiving, by one or more computer processors, one or more queries, wherein the one or more queries include one or more question types; retrieving, by one or more computer processors, one or more strong searcher answers and one or more weak searcher answers, wherein the one or more strong searcher answers are provided by one or more strong searcher engines and the one or more weak searcher answers are provided by one or more weak searcher engines; determining, by one or more computer processors, one or more pseudo-query answers, wherein determining the one or more pseudo-query answers includes utilizing the one or more strong searcher answers as a query to the one or more weak searcher engines, wherein determining includes generating a pseudo query using pseudo-relevance feedback, wherein pseudo-relevance feedback includes one or more query relevant terms determined from one or more retrieved documents, and wherein the one or more query relevant terms are clipped to a pre-defined number of terms; determining, by one or more computer processors, one or more quality predictors for the one or more pseudo-query answers and the one or more weak searcher answers; and responsive to determining the one or more quality predictors, determining, by one or more computer processors, whether at least one of the one or more quality predictors for the one or more pseudo-query answers exceeds at least one of the one or more quality predictors for the one or more weak searcher answers.
1. A method for determining a query answer selection, the method comprising: receiving, by one or more computer processors, one or more queries, wherein the one or more queries include one or more question types; retrieving, by one or more computer processors, one or more strong searcher answers and one or more weak searcher answers, wherein the one or more strong searcher answers are provided by one or more strong searcher engines and the one or more weak searcher answers are provided by one or more weak searcher engines; determining, by one or more computer processors, one or more pseudo-query answers, wherein determining the one or more pseudo-query answers includes utilizing the one or more strong searcher answers as a query to the one or more weak searcher engines, wherein determining includes generating a pseudo query using pseudo-relevance feedback, wherein pseudo-relevance feedback includes one or more query relevant terms determined from one or more retrieved documents, and wherein the one or more query relevant terms are clipped to a pre-defined number of terms; determining, by one or more computer processors, one or more quality predictors for the one or more pseudo-query answers and the one or more weak searcher answers; and responsive to determining the one or more quality predictors, determining, by one or more computer processors, whether at least one of the one or more quality predictors for the one or more pseudo-query answers exceeds at least one of the one or more quality predictors for the one or more weak searcher answers. 5. The method of claim 1 , wherein determining one or more quality predictors for the one or more pseudo-query answers and the one or more weak searcher answers further comprises: determining, by one or more computer processors, a query drift value between the one or more pseudo-query answers and the one or more weak searcher answers, wherein the query drift value is a numerical value measuring the divergence between an original query language model and a pseudo-query language model.