EPSRC Reference: |
GR/M54971/01 |
Title: |
A SEMI-AUTOMATIC LEXICOGRAPHER'S WORKBENCH FOR WRITING WORD SENSE PROFILES(WASP) |
Principal Investigator: |
Evans, Dr R |
Other Investigators: |
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Researcher Co-Investigators: |
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Project Partners: |
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Department: |
Information Technology Research Inst |
Organisation: |
University of Brighton |
Scheme: |
Standard Research (Pre-FEC) |
Starts: |
01 June 1999 |
Ends: |
31 July 2002 |
Value (£): |
287,207
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EPSRC Research Topic Classifications: |
Human Communication in ICT |
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EPSRC Industrial Sector Classifications: |
Creative Industries |
No relevance to Underpinning Sectors |
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Related Grants: |
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Panel History: |
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Summary on Grant Application Form |
Word sense disambiguation (WSD) is a major problem faced by many language engineering systems. Much progress has been made recently, but there remains an uncomfortable gap between the senses to be disambiguated, as defined in a dictionary, and the uses of those senses in WSD. WSD work, almost without exception, takes a sense inventory as a given, even though it is now widely acknowledged that a suitable sense inventories differ from task to task.Meanwhile, recent work in linguistics and lexicography leads towards explicit, detailed, corpus-based descriptions of the various ways in which words are used. A number of tools for this work are now available.The proposed research brings the two trends together, exploring WSD algorithms and other data-driven techniques for lexical acquisition and providing a software environment in which a human lexicographer has the power of the automatic procedures at their disposal for identifying and defining word senses, with the output being both human-readable characteristics of the word senses, and the data required for accurate word sense disambiguation. The ideas will be tested through using the software to produce a substantial sample of the English lexicon.
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Key Findings |
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Potential use in non-academic contexts |
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Impacts |
Description |
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Summary |
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Date Materialised |
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Sectors submitted by the Researcher |
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Project URL: |
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Further Information: |
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Organisation Website: |
http://www.bton.ac.uk |