Website
http://dataportal.arc.gov.au/NCGP/API/grants/DP0666600
Funding Status
Closed
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Funded Activity Summary
An knowledge-based approach to multi-document text summarisation for automated meta-analysis of the scientific literature. The biomedical sciences produce literature at an exponential rate, and the size of this knowledge base far exceeds the capacity of humans to keep up with the growth in new knowledge. This project will develop computational text summarisation methods to abstract the content of scientific journal articles reporting clinical trials, and develop multi-document summarisation methods to synthesise these abstracts using automated statistical meta-analysis methods. These methods have broad potential to improve text-summarisation technologies in general, to profoundly enhance our ability to integrate published knowledge, and to make a highly significant and specific contribution to improving the quality of evidence used in health decision-making.Funded Activity Details
Start Date: 07-2006
End Date: 12-2009
Funding Scheme: Discovery Projects
Funding Amount: $336,000.00
Funder: Australian Research Council
Research Topics
ANZSRC Field of Research (FoR)
Text Processing | Health Information Systems (Incl. Surveillance) | Decision Support And Group Support Systems | Artificial Intelligence and Image Processing
ANZSRC Socio-Economic Objective (SEO)
Information processing services | Health and support services not elsewhere classified |
