@InProceedings{weeds-EtAl:2017:EACLshort,
  author    = {Weeds, Julie  and  Kober, Thomas  and  Reffin, Jeremy  and  Weir, David},
  title     = {When a Red Herring in Not a Red Herring: Using Compositional Methods to Detect Non-Compositional Phrases},
  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     = {529--534},
  abstract  = {Non-compositional phrases such as \emph{red herring} and weakly compositional
	phrases such as \emph{spelling bee} are an integral part of natural language
	\cite{Sag\_2002}.  They are also the phrases that are difficult, or even
	impossible, for good compositional distributional models of semantics. 
	Compositionality detection therefore provides a good testbed for compositional
	methods. We compare an integrated compositional distributional approach, using
	sparse high dimensional representations, with the ad-hoc compositional approach
	of applying simple composition operations to state-of-the-art neural
	embeddings.},
  url       = {http://www.aclweb.org/anthology/E17-2085}
}