@InProceedings{espanabonet-barroncedeno:2017:SemEval,
  author    = {Espa\~{n}a-Bonet, Cristina  and  Barr\'{o}n-Cede\~{n}o, Alberto},
  title     = {Lump at SemEval-2017 Task 1: Towards an Interlingua 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     = {144--149},
  abstract  = {This is the Lump team participation at SemEval 2017 Task 1 on Semantic Textual
	Similarity. Our supervised model relies on features which are multilingual or
	interlingual in nature. We include lexical similarities, cross-language
	explicit semantic analysis, internal representations of multilingual neural
	networks and interlingual word embeddings. Our representations allow to use
	large datasets in language pairs with many instances to better classify
	instances in smaller language pairs avoiding the necessity of translating into
	a single language. Hence we can deal with all the languages in the task:
	Arabic, English, Spanish, and Turkish.},
  url       = {http://www.aclweb.org/anthology/S17-2019}
}