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
- Editors:
- Parisa Kordjamshidi, Archna Bhatia, James Pustejovsky, Marie-Francine Moens
- Venue:
- SpLU
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 41–45
- Language:
- URL:
- https://aclanthology.org/W18-1405
- DOI:
- 10.18653/v1/W18-1405
- Cite (ACL):
- Miriam R. L. Petruck and Michael J. Ellsworth. 2018. Representing Spatial Relations in FrameNet. In Proceedings of the First International Workshop on Spatial Language Understanding, pages 41–45, New Orleans. Association for Computational Linguistics.
- Cite (Informal):
- Representing Spatial Relations in FrameNet (Petruck & Ellsworth, SpLU 2018)
- PDF:
- https://preview.aclanthology.org/naacl24-info/W18-1405.pdf