@InProceedings{almarwani-diab:2017:SemEval,
  author    = {Almarwani, Nada  and  Diab, Mona},
  title     = {GW\_QA at SemEval-2017 Task 3: Question Answer Re-ranking on Arabic Fora},
  booktitle = {Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017)},
  month     = {August},
  year      = {2017},
  address   = {Vancouver, Canada},
  publisher = {Association for Computational Linguistics},
  pages     = {344--348},
  abstract  = {This paper describes our submission to SemEval-2017 Task 3 Subtask D, "Question
	Answer Ranking in Arabic Community Question Answering". In this work, we
	applied a supervised machine learning approach to automatically re-rank a set
	of QA pairs according to their relevance to a given question. We employ
	features based on latent semantic models, namely WTMF, as well as a set of
	lexical features based on string lengths and surface level matching. The
	proposed system ranked first out of 3 submissions, with a MAP score of 61.16\%.},
  url       = {http://www.aclweb.org/anthology/S17-2056}
}