@InProceedings{he-EtAl:2017:SemEval,
  author    = {He, Junqing  and  Wu, Long  and  Zhao, Xuemin  and  Yan, Yonghong},
  title     = {HCCL at SemEval-2017 Task 2: Combining Multilingual Word Embeddings and Transliteration Model for Semantic Similarity},
  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     = {220--225},
  abstract  = {In this paper, we introduce an approach to combining word embeddings and
	machine translation for multilingual semantic word similarity, the task2 of
	SemEval-2017. Thanks to the unsupervised transliteration model, our
	cross-lingual word embeddings encounter decreased sums of OOVs. Our results are
	produced using only monolingual Wikipedia corpora and a limited amount of
	sentence-aligned data. Although relatively little resources are utilized, our
	system ranked 3rd in the monolingual subtask and can be the 6th in the
	cross-lingual subtask.},
  url       = {http://www.aclweb.org/anthology/S17-2033}
}