Rather than manually defining a complete answering strategy -the type of question, the queries to be run, the answer extraction, and the answer merging methods -for each type of question, SQA learns different strategies for different types of similar questions SQA takes advantage of similarity in training data (questions and answers from past TREC evaluations), and performs question clustering.
this paper presents experiments with several feature selection methods used individually and in combination.