@InProceedings{qasemizadeh-kallmeyer:2017:SemEval,
  author    = {QasemiZadeh, Behrang  and  Kallmeyer, Laura},
  title     = {HHU at SemEval-2017 Task 2: Fast Hash-Based Embeddings for Semantic Word Similarity Assessment},
  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     = {250--255},
  abstract  = {This paper describes the HHU system that participated in Task 2 of SemEval
	2017, Multilingual and Cross-lingual Semantic Word Similarity. We introduce our
	unsupervised embedding learning technique and describe how it was employed and
	configured to address the problems of monolingual and multilingual word
	similarity measurement. This paper reports from empirical evaluations on the
	benchmark provided by the task's organizers.},
  url       = {http://www.aclweb.org/anthology/S17-2039}
}