@InProceedings{filice-dasanmartino-moschitti:2017:SemEval,
  author    = {Filice, Simone  and  Da San Martino, Giovanni  and  Moschitti, Alessandro},
  title     = {KeLP at SemEval-2017 Task 3: Learning Pairwise Patterns in 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     = {326--333},
  abstract  = {This paper describes the KeLP system participating in the SemEval-2017
	community Question Answering (cQA) task.
	The system is a refinement of the kernel-based sentence pair modeling we
	proposed for the previous year challenge. It is implemented within the
	Kernel-based Learning Platform called KeLP, from which we inherit the team's
	name. 
	Our primary submission ranked first in subtask A, and third in subtasks B and
	C, being the only systems appearing in the top-3 ranking for all the English
	subtasks. This shows that the proposed framework, which has minor variations
	among the three subtasks, is extremely flexible and effective in tackling
	learning tasks defined on sentence pairs.},
  url       = {http://www.aclweb.org/anthology/S17-2053}
}