@InProceedings{shwartz-stanovsky-dagan:2017:starSEM,
  author    = {Shwartz, Vered  and  Stanovsky, Gabriel  and  Dagan, Ido},
  title     = {Acquiring Predicate Paraphrases from News Tweets},
  booktitle = {Proceedings of the 6th Joint Conference on Lexical and Computational Semantics (*SEM 2017)},
  month     = {August},
  year      = {2017},
  address   = {Vancouver, Canada},
  publisher = {Association for Computational Linguistics},
  pages     = {155--160},
  abstract  = {We present a simple method for ever-growing extraction of predicate paraphrases
	from news headlines in Twitter. Analysis of the output of ten weeks of
	collection shows that the accuracy of paraphrases with different support levels
	is estimated between 60-86\%. We also demonstrate that our resource is to a
	large extent complementary to existing resources, providing many novel
	paraphrases. Our resource is publicly available, continuously expanding based
	on daily news.},
  url       = {http://www.aclweb.org/anthology/S17-1019}
}