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HOO 2012 : a report on the preposition and determiner error correction shared task
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Using edit distance to analyse errors in a natural language to logic translation corpus
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Proceedings of the EACL 2012 Workshop on Computational Linguistics and Writing: Linguistic and cognitive aspects of document creation and document engineering (CL&W 2012)
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In: Proceedings of the EACL 2012 Workshop on Computational Linguistics and Writing: Linguistic and cognitive aspects of document creation and document engineering (CL&W 2012). Edited by: Piotrowski, Michael; Mahlow, Cerstin; Dale, Robert (2012). Stroudsburg, PA, USA: ACL. (2012)
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Using edit distance to analyse errors in a natural language to logic translation corpus
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Collocations in multilingual natural language generation : Lexical functions meet Lexical functional grammar
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Generating subsequent reference in shared visual scenes : computation vs. re-use
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17 |
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 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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Building an audio-visual corpus of Australian English : large corpus collection with an economical portable and replicable Black Box
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