Spatial prepositions and vague quantifiers: Implementing the functional geometric framework

Coventry, Kenny R. ORCID: https://orcid.org/0000-0003-2591-7723, Cangelosi, Angelo, Rajapakse, Rohanna, Bacon, Alison, Newstead, Stephen, Joyce, Dan and Richards, Lynn V. (2005) Spatial prepositions and vague quantifiers: Implementing the functional geometric framework. In: Spatial Cognition IV. Reasoning, Action, Interraction. Lecture Notes in Computer Science, 3343 . Springer, pp. 98-110. ISBN 978-3-540-25048-7

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Abstract

There is much empirical evidence showing that factors other than the relative positions of objects in Euclidean space are important in the comprehension of a wide range of spatial prepositions in English and other languages. We first the overview the functional geometric framework [11] which puts “what” and “where” information together to underpin the situation specific meaning of spatial terms. We then outline an implementation of this framework. The computational model for the processing of visual scenes and the identification of the appropriate spatial preposition consists of three main modules: (1) Vision Processing, (2) Elman Network, (3) Dual-Route Network. Mirroring data from experiments with human participants, we show that the model is both able to predict what will happen to objects in a scene, and use these judgements to influence the appropriateness of over/under/above/below to describe where objects are located in the scene. Extensions of the model to other prepositions and quantifiers are discussed.

Item Type: Book Section
Faculty \ School: Faculty of Social Sciences > School of Social Work and Psychology (former - to 2012)
Faculty of Social Sciences > School of Psychology
UEA Research Groups: Faculty of Social Sciences > Research Groups > Cognition, Action and Perception
Depositing User: Pure Connector
Date Deposited: 18 May 2016 12:00
Last Modified: 24 Sep 2024 07:44
URI: https://ueaeprints.uea.ac.uk/id/eprint/58841
DOI: 10.1007/978-3-540-32255-9_6

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