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Details of Grant 

EPSRC Reference: GR/S13330/02
Title: TUNA Towards a UNified Algorithm for the Generation of Referring Expressions
Principal Investigator: Van Deemter, Professor K
Other Investigators:
Power, Dr R
Researcher Co-Investigators:
Project Partners:
Department: Computing Science
Organisation: University of Aberdeen
Scheme: Standard Research (Pre-FEC)
Starts: 01 October 2004 Ends: 28 February 2007 Value (£): 148,436
EPSRC Research Topic Classifications:
Human Communication in ICT
EPSRC Industrial Sector Classifications:
Communications
Related Grants:
Panel History:  
Summary on Grant Application Form
Existing algorithms and programs in the Generation of Referring Expressions (GRE) tend to focus on one particular class of referring expressions, for example conjunctions of atomic or relational properties (e.g., 'the black dog', the book on the table'). Our research is aimed at designing and implementing a new algorithm for the generation of referring expressions (GRE) that generates appropriate descriptions in a far greater variety of situations than any of its predecessors. The algorithm will be more 'expressive' than its predecessors because it is able to construct a greater variety of descriptions (involving negations, disjunctions, relations, vaguenes, etc.); the descriptions generated will be more 'appropriate' (i.e., more natural in the eyes of a human reader/hearer) because the algorithm will be based on empirical studies involving corpora and controled experiments. Among other things, these empirical studies will address the question under what circumstances a description should be logically under- or over-specific. They will also allow us to prune the search space (i.e., the space of all descriptions) which would otherwise threaten to make the problem of GRE intractable, especially in its new, more ambitious incarnation, in which far more descriptions are considered than before.
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Organisation Website: http://www.abdn.ac.uk