VoxSim: A Visual Platform for Modeling Motion Language

Nikhil Krishnaswamy, James Pustejovsky


Abstract
Much existing work in text-to-scene generation focuses on generating static scenes. By introducing a focus on motion verbs, we integrate dynamic semantics into a rich formal model of events to generate animations in real time that correlate with human conceptions of the event described. This paper presents a working system that generates these animated scenes over a test set, discussing challenges encountered and describing the solutions implemented.
Anthology ID:
C16-2012
Volume:
Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: System Demonstrations
Month:
December
Year:
2016
Address:
Osaka, Japan
Editor:
Hideo Watanabe
Venue:
COLING
SIG:
Publisher:
The COLING 2016 Organizing Committee
Note:
Pages:
54–58
Language:
URL:
https://aclanthology.org/C16-2012
DOI:
Bibkey:
Cite (ACL):
Nikhil Krishnaswamy and James Pustejovsky. 2016. VoxSim: A Visual Platform for Modeling Motion Language. In Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: System Demonstrations, pages 54–58, Osaka, Japan. The COLING 2016 Organizing Committee.
Cite (Informal):
VoxSim: A Visual Platform for Modeling Motion Language (Krishnaswamy & Pustejovsky, COLING 2016)
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PDF:
https://aclanthology.org/C16-2012.pdf