@InProceedings{kehat-pustejovsky:2017:I17-2,
  author    = {Kehat, Gitit  and  Pustejovsky, James},
  title     = {Integrating Vision and Language Datasets to Measure Word Concreteness},
  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     = {103--108},
  abstract  = {We present and take advantage of the inherent visualizability properties of
	words in visual corpora (the textual components of vision-language datasets) to
	compute concreteness scores for words. Our simple method does not require
	hand-annotated concreteness score lists for training, and yields
	state-of-the-art results when evaluated against concreteness scores lists and
	previously derived scores, as well as when used for metaphor detection.},
  url       = {http://www.aclweb.org/anthology/I17-2018}
}