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This paper presents our method to retrieve relevant queries given a newquestion in the context of Discovery Challenge: Learning to Re-RankingQuestions for Community Question Answering competition. In order to do that, aset of learning to rank methods was investigated to select an appropriatemethod. The selected method was optimized on training data by using a searchstrategy. After optimizing, the method was applied to development and test set.Results from the competition indicate that the performance of our methodoutperforms almost participants and show that Ranking SVM is efficient forretrieving relevant queries in community question answering.

Learning to Rank Questions for Community Question Answering with Ranking SVM