Abstract
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.
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Barclay, M., Galton, A. (2008). An Influence Model for Reference Object Selection in Spatially Locative Phrases. In: Freksa, C., Newcombe, N.S., Gärdenfors, P., Wölfl, S. (eds) Spatial Cognition VI. Learning, Reasoning, and Talking about Space. Spatial Cognition 2008. Lecture Notes in Computer Science(), vol 5248. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-87601-4_17
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DOI: https://doi.org/10.1007/978-3-540-87601-4_17
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