@InProceedings{zhuang-chang:2017:SemEval,
  author    = {Zhuang, WenLi  and  Chang, Ernie},
  title     = {Neobility at SemEval-2017 Task 1: An Attention-based Sentence Similarity Model},
  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     = {164--169},
  abstract  = {This paper describes a neural-network model which performed competitively (top
	6) at the SemEval 2017 cross-lingual Semantic Textual Similarity (STS) task.
	Our system employs an attention-based recurrent neural network model that
	optimizes the sentence similarity. In this paper, we describe our participation
	in the multilingual STS task which measures similarity across English, Spanish,
	and Arabic.},
  url       = {http://www.aclweb.org/anthology/S17-2023}
}