@InProceedings{nakov-EtAl:2017:SemEval,
  author    = {Nakov, Preslav  and  Hoogeveen, Doris  and  M\`{a}rquez, Llu\'{i}s  and  Moschitti, Alessandro  and  Mubarak, Hamdy  and  Baldwin, Timothy  and  Verspoor, Karin},
  title     = {SemEval-2017 Task 3: 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     = {27--48},
  abstract  = {We describe SemEval--2017 Task 3 on Community Question Answering. This year,
	we reran the four subtasks from SemEval-2016: (A) Question--Comment Similarity,
	(B) Question--Question Similarity, (C) Question--External Comment Similarity,
	and (D) Rerank the correct answers for a new question in Arabic, providing all
	the data from 2015 and 2016 for training, and fresh data for testing.
	Additionally, we added a new subtask E in order to enable experimentation with
	Multi-domain Question Duplicate Detection in a larger-scale scenario, using
	StackExchange subforums. A total of 23 teams participated in the task, and
	submitted a total of 85 runs (36 primary and 49 contrastive) for subtasks A--D.
	Unfortunately, no teams participated in subtask E. A variety of approaches and
	features were used by the participating systems to address the different
	subtasks. The best systems achieved an official score (MAP) of 88.43, 47.22,
	15.46, and 61.16 in subtasks A, B, C, and D, respectively.  These scores are
	better than the baselines, especially for subtasks A--C.},
  url       = {http://www.aclweb.org/anthology/S17-2003}
}