Document Type
Conference Paper
Rights
Available under a Creative Commons Attribution Non-Commercial Share Alike 4.0 International Licence
Disciplines
1.2 COMPUTER AND INFORMATION SCIENCE
Abstract
The paper presents a new model for context-dependent interpretation of linguistic expressions about spatial proximity between objects in a natural scene. The paper discusses novel psycholinguistic experimental data that tests and verifies the model. The model has been implemented, and enables a conversational robot to identify objects in a scene through topological spatial relations (e.g. ''X near Y''). The model can help motivate the choice between topological and projective prepositions.
DOI
https://doi.org/10.3115/1220175.1220269
Recommended Citation
Kelleher,J., Kruijff, G.J. & Costello, F. (2006). Proximity in context: an empirically grounded computational model of proximity for processing topological spatial expression. Conference: ACL 2006, 21st International Conference on Computational Linguistics and 44th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference, Sydney, Australia, 17-21 July. doi:10.3115/1220175.1220269
Included in
Artificial Intelligence and Robotics Commons, Cognition and Perception Commons, Cognitive Psychology Commons, Computational Linguistics Commons, Psycholinguistics and Neurolinguistics Commons, Semantics and Pragmatics Commons
Publication Details
In Proceedings of COLING-ACL'06. Sydney, Australia. Association of Computational Linguistics.