Representing Spatial Relations in FrameNet

Miriam R. L. Petruck, Michael J. Ellsworth


Abstract
While humans use natural language to express spatial relations between and across entities in the world with great facility, natural language systems have a facility that depends on that human facility. This position paper presents approach to representing spatial relations in language, and advocates its adoption for representing the meaning of spatial language. This work shows the importance of axis-orientation systems for capturing the complexity of spatial relations, which FrameNet encodes with semantic types.
Anthology ID:
W18-1405
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:
41–45
Language:
URL:
https://www.aclweb.org/anthology/W18-1405
DOI:
10.18653/v1/W18-1405
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PDF:
http://aclanthology.lst.uni-saarland.de/W18-1405.pdf