@InProceedings{hassan-EtAl:2017:SemEval,
  author    = {Hassan, Basma  and  AbdelRahman, Samir  and  Bahgat, Reem  and  Farag, Ibrahim},
  title     = {FCICU at SemEval-2017 Task 1: Sense-Based Language Independent Semantic Textual Similarity Approach},
  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     = {125--129},
  abstract  = {This paper describes FCICU team systems that participated in SemEval-2017
	Semantic Textual Similarity task (Task1) for monolingual and cross-lingual
	sentence pairs. A sense-based language independent textual similarity approach
	is presented, in which a proposed alignment similarity method coupled with new
	usage of a semantic network (BabelNet) is used. Additionally, a previously
	proposed integration between sense-based and sur-face-based semantic textual
	similarity approach is applied together with our proposed approach. For all the
	tracks in Task1, Run1 is a string kernel with alignments metric and Run2 is a
	sense-based alignment similarity method. The first run is ranked 10th, and the
	second is ranked 12th in the primary track, with correlation 0.619 and 0.617
	respectively},
  url       = {http://www.aclweb.org/anthology/S17-2015}
}