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A Computational Model of Concept Generalization in Cross-Modal Reference

Patrick McCrae1( )Wolfgang Menzel2Maosong SUN3
CINACS Graduate Research Group, Department of Informatics, Hamburg University, 22527 Hamburg, Germany
Natural Language Systems Group, Department of Informatics, Hamburg University, 22527 Hamburg, Germany
Department of Computer Science, Tsinghua University, Beijing 100084, China
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Abstract

Cross-modal interactions between visual understanding and linguistic processing substantially contribute to the remarkable robustness of human language processing. We argue that the formation of cross-modal referential links is a prerequisite for the occurrence of cross-modal interactions between vision and language. In this paper we examine a computational model for a cross-modal reference formation with respect to its robustness against conceptual underspecification in the visual modality. This investigation is motivated by the fact that natural systems are well capable of establishing a cross-modal reference between modalities with different degrees of conceptual specification. In the investigated model, conceptually under-specified context information continues to drive the syntactic disambiguation of verb-centered syntactic ambiguities as long as the visual context contains the situation arity information of the visual scene.

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Tsinghua Science and Technology
Pages 113-120

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Cite this article:
McCrae P, Menzel W, SUN M. A Computational Model of Concept Generalization in Cross-Modal Reference. Tsinghua Science and Technology, 2011, 16(2): 113-120. https://doi.org/10.1016/S1007-0214(11)70018-9

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Received: 26 January 2011
Revised: 20 February 2011
Published: 01 April 2011
© Tsinghua University Press 2011