@InProceedings{klein-ponzetto-glavavs:2017:EACLshort,
  author    = {Klein, Patrick  and  Ponzetto, Simone Paolo  and  Glava\v{s}, Goran},
  title     = {Improving Neural Knowledge Base Completion with Cross-Lingual Projections},
  booktitle = {Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers},
  month     = {April},
  year      = {2017},
  address   = {Valencia, Spain},
  publisher = {Association for Computational Linguistics},
  pages     = {516--522},
  abstract  = {In this paper we present a cross-lingual extension of a neural tensor network
	model for knowledge base completion. We exploit multilingual synsets from
	BabelNet to translate English triples to other languages and then augment the
	reference knowledge base with cross-lingual triples. We project monolingual
	embeddings of different languages to a shared multilingual space and use them
	for network initialization (i.e., as initial concept embeddings). We then train
	the network with triples from the cross-lingually augmented knowledge base.
	Results on WordNet link prediction show that leveraging cross-lingual
	information yields significant gains over exploiting only monolingual triples.},
  url       = {http://www.aclweb.org/anthology/E17-2083}
}