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This paper describes QCRI’s participation in SemEval-2015 Task 3 “Answer Selection in Community Question Answering”, which tar-geted real-life Web forums, and was offered in both Arabic and English. We apply a super-vised machine learning approach considering a manifold of features including among others word n-grams, text similarity, sentiment anal-ysis, the presence of specific words, and the context of a comment. Our approach was the best performing one in the Arabic subtask and the third best in the two English subtasks.
Nicosia et al. (Thu,) studied this question.