Representation and processing of spatial expressions
An Empirically Validated Model for Computing Spatial Relations
KI '95 Proceedings of the 19th Annual German Conference on Artificial Intelligence: Advances in Artificial Intelligence
The Nature of Landmarks for Real and Electronic Spaces
COSIT '99 Proceedings of the International Conference on Spatial Information Theory: Cognitive and Computational Foundations of Geographic Information Science
Enriching Wayfinding Instructions with Local Landmarks
GIScience '02 Proceedings of the Second International Conference on Geographic Information Science
Semantic categories underlying the meaning of 'place'
COSIT'07 Proceedings of the 8th international conference on Spatial information theory
Landmark extraction: a web mining approach
COSIT'05 Proceedings of the 2005 international conference on Spatial Information Theory
Spatial prepositions and vague quantifiers: implementing the functional geometric framework
SC'04 Proceedings of the 4th international conference on Spatial Cognition: reasoning, Action, Interaction
Identifying objects on the basis of spatial contrast: an empirical study
SC'04 Proceedings of the 4th international conference on Spatial Cognition: reasoning, Action, Interaction
Spatial role labeling: Towards extraction of spatial relations from natural language
ACM Transactions on Speech and Language Processing (TSLP)
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A comprehensive influence model for choosing a reference object in a spatially locative phrase is developed. The model is appropriate for a Bayesian network implementation and intended as a step toward machine learning of spatial language. It takes its structure from the necessary steps a listener must take in utilising spatial communication and contains as variables parameters derived from the literature concerning characteristics of landmarks for wayfinding as well as reference objects in general. Practical limitations on the implementation and training of the model are discussed.