@InProceedings{xie-EtAl:2017:SemEval,
  author    = {Xie, Yufei  and  Wang, Maoquan  and  Ma, Jing  and  Jiang, Jian  and  Lu, Zhao},
  title     = {EICA Team at SemEval-2017 Task 3: Semantic and Metadata-based Features for Community Question Answering},
  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     = {292--298},
  abstract  = {We describe our system for participating in SemEval-2017 Task 3 on Community
	Question Answering. Our approach relies on combining a rich set of various
	types
	of features: semantic and metadata. The most important group turned out to be
	the
	metadata feature and the semantic vectors trained on QatarLiving data. In the
	main
	Subtask C, our primary submission was ranked fourth, with a MAP of 13.48 and
	accuracy of 97.08. In Subtask A, our primary submission get into the top 50%.},
  url       = {http://www.aclweb.org/anthology/S17-2047}
}