@InProceedings{jimenez-EtAl:2017:SemEval,
  author    = {Jimenez, Sergio  and  Due\~{n}as, George  and  Gaitan, Lorena  and  Segura, Jorge},
  title     = {RUFINO at SemEval-2017 Task 2: Cross-lingual lexical similarity by extending PMI and word embeddings systems with a Swadesh's-like list},
  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     = {239--244},
  abstract  = {The RUFINO team proposed a non-supervised, conceptually-simple and
	low-cost approach for addressing the Multilingual and Cross-lingual
	Semantic Word Similarity challenge at SemEval 2017. The proposed systems
	were cross-lingual extensions of popular monolingual lexical similarity
	approaches such as PMI and word2vec. The extensions were possible
	by means of a small parallel list of concepts similar to the Swadesh's
	list, which we obtained in a semi-automatic way. In spite of its simplicity,
	our approach showed to be effective obtaining statistically-significant
	and consistent results in all datasets proposed for the task. Besides,
	we provide some research directions for improving this novel and affordable
	approach.},
  url       = {http://www.aclweb.org/anthology/S17-2037}
}