@InProceedings{mcgregor-lim:2018:CogACLL,
  author    = {McGregor, Stephen  and  Lim, KyungTae},
  title     = {Affordances in Grounded Language Learning},
  booktitle = {Proceedings of the Eight Workshop on Cognitive Aspects of Computational Language Learning and Processing},
  month     = {July},
  year      = {2018},
  address   = {Melbourne},
  publisher = {Association for Computational Linguistics},
  pages     = {41--46},
  abstract  = {We present a novel methodology involving mappings between different modes of semantic representation. We propose distributional semantic models as a mechanism for representing the kind of world knowledge inherent in the system of abstract symbols characteristic of a sophisticated community of language users. Then, motivated by insight from ecological psychology, we describe a model approximating affordances, by which we mean a language learner's direct perception of opportunities for action in an environment. We present a preliminary experiment involving mapping between these two representational modalities, and propose that our methodology can become the basis for a cognitively inspired model of grounded language learning.},
  url       = {http://www.aclweb.org/anthology/W18-2806}
}