FBK-HLT: An Application of Semantic Textual Similarity for Answer Selection in Community Question Answering

This paper reports the description and perfor- mance of our system, FBK-HLT, participating in the SemEval 2015, Task #3 "Answer Se- lection in Community Question Answering" for English, for both subtasks. We submit two runs with different classifiers in combining typ- ical features (lexical similarity, string similar- ity, word n-grams, etc.) with machine transla- tion evaluation metrics and with some ad hoc features (e.g user overlapping, spam filtering). We outperform the baseline system and achieve interesting results on both subtasks.