@inproceedings{chang-etal-2018-linking,
title = "Linking {W}ord{N}et to 3{D} Shapes",
author = "Chang, Angel X and
Mago, Rishi and
Krishna, Pranav and
Savva, Manolis and
Fellbaum, Christiane",
editor = "Bond, Francis and
Vossen, Piek and
Fellbaum, Christiane",
booktitle = "Proceedings of the 9th Global Wordnet Conference",
month = jan,
year = "2018",
address = "Nanyang Technological University (NTU), Singapore",
publisher = "Global Wordnet Association",
url = "https://aclanthology.org/2018.gwc-1.44",
pages = "358--363",
abstract = "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.",
}
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<abstract>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.</abstract>
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%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
Markdown (Informal)
[Linking WordNet to 3D Shapes](https://aclanthology.org/2018.gwc-1.44) (Chang et al., GWC 2018)
ACL
- Angel X Chang, Rishi Mago, Pranav Krishna, Manolis Savva, and Christiane Fellbaum. 2018. Linking WordNet to 3D Shapes. In Proceedings of the 9th Global Wordnet Conference, pages 358–363, Nanyang Technological University (NTU), Singapore. Global Wordnet Association.