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1.2 COMPUTER AND INFORMATION SCIENCE
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.
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
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