Points, Paths, and Playscapes: Large-scale Spatial Language Understanding Tasks Set in the Real World

Jason Baldridge, Tania Bedrax-Weiss, Daphne Luong, Srini Narayanan, Bo Pang, Fernando Pereira, Radu Soricut, Michael Tseng, Yuan Zhang


Abstract
Spatial language understanding is important for practical applications and as a building block for better abstract language understanding. Much progress has been made through work on understanding spatial relations and values in images and texts as well as on giving and following navigation instructions in restricted domains. We argue that the next big advances in spatial language understanding can be best supported by creating large-scale datasets that focus on points and paths based in the real world, and then extending these to create online, persistent playscapes that mix human and bot players, where the bot players must learn, evolve, and survive according to their depth of understanding of scenes, navigation, and interactions.
Anthology ID:
W18-1406
Original:
W18-1406v1
Version 2:
W18-1406v2
Volume:
Proceedings of the First International Workshop on Spatial Language Understanding
Month:
June
Year:
2018
Address:
New Orleans
Venues:
NAACL | SpLU | WS
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
46–52
Language:
URL:
https://www.aclweb.org/anthology/W18-1406
DOI:
10.18653/v1/W18-1406
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PDF:
http://aclanthology.lst.uni-saarland.de/W18-1406.pdf