@InProceedings{dellibovi-EtAl:2017:Short,
  author    = {{Delli Bovi}, Claudio  and  Camacho-Collados, Jose  and  Raganato, Alessandro  and  Navigli, Roberto},
  title     = {EuroSense: Automatic Harvesting of Multilingual Sense Annotations from Parallel Text},
  booktitle = {Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)},
  month     = {July},
  year      = {2017},
  address   = {Vancouver, Canada},
  publisher = {Association for Computational Linguistics},
  pages     = {594--600},
  abstract  = {Parallel corpora are widely used in a variety of Natural Language Processing
	tasks, from Machine Translation to cross-lingual Word Sense Disambiguation,
	where parallel sentences can be exploited to automatically generate
	high-quality sense annotations on a large scale. In this paper we present
	EuroSense, a multilingual sense-annotated resource based on the joint
	disambiguation of the Europarl parallel corpus, with almost 123 million sense
	annotations for over 155 thousand distinct concepts and entities from a
	language-independent unified sense inventory. We evaluate the quality of our
	sense annotations intrinsically and extrinsically, showing their effectiveness
	as training data for Word Sense Disambiguation.},
  url       = {http://aclweb.org/anthology/P17-2094}
}