@InProceedings{elsahar-gravier-laforest:2017:I17-2,
  author    = {Elsahar, Hady  and  Gravier, Christopher  and  Laforest, Frederique},
  title     = {High Recall Open IE for Relation Discovery},
  booktitle = {Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 2: Short Papers)},
  month     = {November},
  year      = {2017},
  address   = {Taipei, Taiwan},
  publisher = {Asian Federation of Natural Language Processing},
  pages     = {228--233},
  abstract  = {Relation Discovery discovers predicates (relation types) from a text corpus
	relying on the co-occurrence of two named entities in the same sentence. This
	is a very narrowing constraint: it represents only a small fraction of all
	relation mentions in practice. 
	In this paper we propose a high recall approach for Open IE, which enables
	covering up to 16 times more sentences in a large corpus. Comparison against
	OpenIE systems shows that our proposed approach achieves 28% improvement over
	the highest recall OpenIE system and 6% improvement in precision than the same
	system.},
  url       = {http://www.aclweb.org/anthology/I17-2039}
}