DFKI-LT - Proximity in Context: an empirically grounded computational model of proximity for processing topological spatial expressions

John Kelleher, Geert-Jan Kruijff, Fintan Costello
Proximity in Context: an empirically grounded computational model of proximity for processing topological spatial expressions
2 Proceedings of ACL/COLING 2006, Sydney, Australia, ACL, 2006
 
The paper presents a new model for context- dependent interpretation of linguistic expressions about spatial proximity between objects in a nat- ural scene. The paper discusses novel psycholin- guistic experimental data that tests and verifies the model. The model has been implemented, and en- ables 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.
 
Files: BibTeX, kelleher+etal.proximity.aclcoling2006.pdf