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Details of Grant 

EPSRC Reference: GR/S24480/01
Title: COGENT: Controlled Generation of Text
Principal Investigator: Evans, Dr R
Other Investigators:
Van Deemter, Professor K
Researcher Co-Investigators:
Professor A Belz
Project Partners:
Department: Sch of Computing, Engineering & Maths
Organisation: University of Brighton
Scheme: Standard Research (Pre-FEC)
Starts: 01 August 2003 Ends: 31 January 2007 Value (£): 208,434
EPSRC Research Topic Classifications:
Comput./Corpus Linguistics
EPSRC Industrial Sector Classifications:
Creative Industries
Related Grants:
GR/S24497/01
Panel History:  
Summary on Grant Application Form
Natural Language Generation (NLG) technology has reached a level of maturity where applied systems exist in a range of specialised real-world domains (such as weather bulletins, software documentation, health and legal advice and stock market movements). However, developing such systems currently involves hand-crafting and special-purpose tuning by NLG experts which is non-portable, non-scaleable, time-consuming and expensive. Wider deployment of language generation requires more generally applicable and reusable NLG components based on wide-coverage grammars, but at present, effective techniques for such wide-coverage generation are not well understood. We propose a three year project to investigate systematically the characteristics of wide-coverage generation and to develop reflective techniques for controlling it effectively. The project team combines expertise of two leading research groups in NLG systems and architectures, wide-coverage grammars and deep and shallow language processing technologies, with a strong track record of successful research collaboration. As well as furthering our understanding of wide-coverage generation, the project will deliver a substantial and novel resource to support future research in this area, and practical implementations of widecoverage controllable generators.
Key Findings
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Further Information:  
Organisation Website: http://www.bton.ac.uk