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.

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

Ngoc Phuoc An, Vo;Magnolini, Simone;Popescu, Octavian
2015

Abstract

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.
978-1-941643-40-2
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11582/302183
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