Paper: Proximity In Context: An Empirically Grounded Computational Model Of Proximity For Processing Topological Spatial Expressions

ACL ID P06-1094
Title Proximity In Context: An Empirically Grounded Computational Model Of Proximity For Processing Topological Spatial Expressions
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2006
Authors

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.