@InProceedings{bulat-clark-shutova:2017:EACLshort,
  author    = {Bulat, Luana  and  Clark, Stephen  and  Shutova, Ekaterina},
  title     = {Modelling metaphor with attribute-based semantics},
  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     = {523--528},
  abstract  = {One of the key problems in computational metaphor modelling is finding the
	optimal level of abstraction of semantic representations, such that these are
	able to capture and generalise metaphorical mechanisms. In this paper we
	present the first metaphor identification method that uses representations
	constructed from property norms. Such norms have been previously shown to
	provide a cognitively plausible representation of concepts in terms of semantic
	properties. Our results demonstrate that such property-based semantic
	representations provide a suitable model of cross-domain knowledge projection
	in metaphors, outperforming standard distributional models on a metaphor
	identification task.},
  url       = {http://www.aclweb.org/anthology/E17-2084}
}