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Exploiting visual salience for the generation of referring expressions

Kelleher, John D. and van Genabith, Josef (2004) Exploiting visual salience for the generation of referring expressions. In: the 17th International Florida Artificial Intelligence Research Society Conference (FLAIRS’04), 17 - 19 May 2004, Miami Beach, Florida.

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In this paper we present a novel approach to generating referring expressions (GRE) that is tailored to a model of the visual context the user is attending to. The approach integrates a new computational model of visual salience in simulated 3-D environments with Dale and Reiter’s (1995) Incremental Algorithm. The advantage of our GRE framework are: (1) the context set used by the GRE algorithm is dynamically computed by the visual saliency algorithm as a user navigates through a simulation; (2) the integration of visual salience into the generation process means that in some instances underspecified but sufficiently detailed descriptions of the target object are generated that are shorter than those generated by GRE algorithms which focus purely on adjectival and type attributes; (3) the integration of visual saliency into the generation process means that our GRE algorithm will in some instances succeed in generating a description of the target object in situations where GRE algorithms which focus purely on adjectival and type attributes fail.

Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Uncontrolled Keywords:generating referring expressions; GRE algorithms
Subjects:Computer Science > Machine translating
DCU Faculties and Centres:Research Initiatives and Centres > National Centre for Language Technology (NCLT)
DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Publisher:American Association for Artificial intelligence
Official URL:
Copyright Information:© 2004 AAAI
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
ID Code:16166
Deposited On:20 Jul 2011 14:59 by Shane Harper. Last Modified 14 Nov 2016 10:34

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