Abstract
The paper presents a computational model for a context-dependent analysis of a physical environment in terms of spatial proximity. The model provides a basis for grounding linguistic analyses of spatial expressions in visual perception. The model uses potential fields to model spatial proximity. It has been implemented, and when combined with a handcrafted grammar, is used to enable a conversational robot to carry out a situated dialogue with a human. The key concept in our approach is defining the region that is proximal to a landmark based on the spatial configuration of other objects in the scene. The model extends existing approaches to proximity by including object salience (visual, discourse) and interference effects between multiple objects that could act as landmarks. Theoretically, the model can help motivate the choice between topological and projective prepositions, and provides a basis for defining regions with vague spatial extent.
Original language | English |
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DOIs | |
Publication status | Published - 2005 |
Externally published | Yes |
Event | 2nd ACL-SIGSEM Workshop on The Linguistic Dimensions of Prepositions and their Use in Computational Linguistics Formalisms and Applications - Colchester, United Kingdom Duration: 1 Apr 2005 → 30 Apr 2005 |
Conference
Conference | 2nd ACL-SIGSEM Workshop on The Linguistic Dimensions of Prepositions and their Use in Computational Linguistics Formalisms and Applications |
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Country/Territory | United Kingdom |
City | Colchester |
Period | 1/04/05 → 30/04/05 |
Keywords
- computational model
- context-dependent analysis
- spatial proximity
- linguistic analyses
- visual perception
- potential fields
- conversational robot
- situated dialogue
- landmark
- spatial configuration
- object salience
- interference effects
- topological prepositions
- projective prepositions
- vague spatial extent