@InProceedings{han-hough-schlangen:2017:I17-2,
  author    = {Han, Ting  and  Hough, Julian  and  Schlangen, David},
  title     = {Natural Language Informs the Interpretation of Iconic Gestures: A Computational Approach},
  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     = {134--139},
  abstract  = {When giving descriptions, speakers often signify object shape or size with hand
	gestures. Such so-called ‘iconic’ gestures represent their meaning through
	their relevance to referents in the verbal content, rather than having a
	conventional form. The gesture form on its own is often ambiguous, and the
	aspect of the referent that it highlights is constrained by what the language
	makes salient. We show how the verbal content guides gesture interpretation
	through a computational model that frames the task as a multi-label
	classification task that maps multimodal utterances to semantic categories,
	using annotated human-human data.},
  url       = {http://www.aclweb.org/anthology/I17-2023}
}