EPSRC Reference: |
GR/R08872/01 |
Title: |
Combining Maximum Entropy Models Into a Product of Experts |
Principal Investigator: |
Osborne, Dr M |
Other Investigators: |
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Researcher Co-Investigators: |
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Project Partners: |
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Department: |
Sch of Informatics |
Organisation: |
University of Edinburgh |
Scheme: |
Fast Stream |
Starts: |
01 March 2001 |
Ends: |
29 February 2004 |
Value (£): |
63,245
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EPSRC Research Topic Classifications: |
Human Communication in ICT |
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EPSRC Industrial Sector Classifications: |
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Related Grants: |
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Panel History: |
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Summary on Grant Application Form |
We propose to take a large - covering, manually written definite-clause grammar and develop for it a set of modular, specialised maximum-entropy models (a product of Experts). Each model will be good at some subtask of parse selection (for example co0ordination, PP-attachment). These models will then be co-operatively trained together (using an algorithm that we shall develop) and evaluate using the parsed Wall Street Journal. The resulting parse selection model will be integrated into the Toolkit and made publicly available. We shall also empirically compare our modular parse selection model with other model combination approaches (such as voting, boosting, bagging and smoothing).
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Key Findings |
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Potential use in non-academic contexts |
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Impacts |
Description |
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk |
Summary |
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Date Materialised |
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Sectors submitted by the Researcher |
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Project URL: |
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Further Information: |
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Organisation Website: |
http://www.ed.ac.uk |