%0 Conference Proceedings %T Linking WordNet to 3D Shapes %A Chang, Angel X. %A Mago, Rishi %A Krishna, Pranav %A Savva, Manolis %A Fellbaum, Christiane %Y Bond, Francis %Y Vossen, Piek %Y Fellbaum, Christiane %S Proceedings of the 9th Global Wordnet Conference %D 2018 %8 January %I Global Wordnet Association %C Nanyang Technological University (NTU), Singapore %F chang-etal-2018-linking %X We describe a project to link the Princeton WordNet to 3D representations of real objects and scenes. The goal is to establish a dataset that helps us to understand how people categorize everyday common objects via their parts, attributes, and context. This paper describes the annotation and data collection effort so far as well as ideas for future work. %U https://aclanthology.org/2018.gwc-1.44 %P 358-363