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Exploiting parse structures for native language identification
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Unsupervised syntactic chunking with acoustic cues : computational models for prosodic bootstrapping
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Temporal relation between speech and co-verbal iconic gestures in multimodal interface design
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Collocations in multilingual natural language generation : Lexical functions meet Lexical functional grammar
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Predictability effects in adult-directed and infant-directed speech : does the listener matter?
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Generating subsequent reference in shared visual scenes : computation vs. re-use
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Building an audio-visual corpus of Australian English : large corpus collection with an economical portable and replicable Black Box
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GRE3D7 : A Corpus of distinguishing descriptions for objects in visual scenes
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The Impact of language models and loss functions on repair disfluency detection
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The Impact of visual context on the content of referring expressions
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Abstract:
Traditional approaches to referring expression generation (REG) have taken as a fundamental requirement the need to distinguish the intended referent from other entities in the context. It seems obvious that this should be a necessary condition for successful reference; but we suggest that a number of recent investigations cast doubt on the significance of this aspect of reference. In the present paper, we look at the role of visual context in determining the content of a referring expression, and come to the conclusion that, at least in the referential scenarios underlying our data, visual context appears not to be a major factor in content determination for reference. We discuss the implications of this surprising finding. ; 9 page(s)
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Keyword:
080100 Artificial Intelligence and Image Processing
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URL: http://hdl.handle.net/1959.14/160927
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Producing power-law distributions and damping word frequencies with two-stage language models
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Using ontologies to synchronize change in relational database systems
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Specifying events and their effects in controlled natural language
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