2016
DOI: 10.21433/b3115h00g1xs
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Spatial Preposition Use in Indoor Scene Descriptions

Abstract: In order to provide accurate automated scene description and navigation directions for indoor space, human beings need intelligent systems to provide an effective cognitive model. Information provided by the structure and use of spatial prepositions is critical to the development of accurate and effective cognitive models. Unfortunately, the use and choice of spatial prepositions in natural language is extremely varied, presenting difficulties for natural language systems attempting to provide descriptions of … Show more

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Cited by 2 publications
(1 citation statement)
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“…For example, Walton and Worboys proposed a dynamic indoor model based on Millner's dual graph theory [27], which has a significant advantage in dealing with the impact of events on the indoor environment [28]. Doore et al used descriptive spatial prepositions based on linguistics, machine learning, and cluster analysis to create a rich and detailed VE scene to help people understand the indoor environment [29]. Afyouni et al created an interior space model with indoor path continuous search function for moving objects that can be extended to multi-user service [30].…”
Section: Introductionmentioning
confidence: 99%
“…For example, Walton and Worboys proposed a dynamic indoor model based on Millner's dual graph theory [27], which has a significant advantage in dealing with the impact of events on the indoor environment [28]. Doore et al used descriptive spatial prepositions based on linguistics, machine learning, and cluster analysis to create a rich and detailed VE scene to help people understand the indoor environment [29]. Afyouni et al created an interior space model with indoor path continuous search function for moving objects that can be extended to multi-user service [30].…”
Section: Introductionmentioning
confidence: 99%