This paper describes the design of question answering system that participates in the maintask of QA4MRE at CLEF 2013. This system will initially perform preprocessing stage of the document and the documents related questions. Then, it identifies the type of questions in order to be able to search the answers with the most appropriate approach. In order to finding the answers, the system uses eight heuristics features and two query expansion techniques, namely Pseudo Relevance feedback and WordNet as the lexical database. There are nine types of runs were submitted at CLEF 2013, where the difference lies in the combination of query expansion techniques and features used. Evaluation will be based on the c@1 measure. Best results are obtained when it uses both query expansion techniques and all features with certain weights.