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Details of Grant 

EPSRC Reference: GR/M73521/01
Title: MALT: MAPPING, AGGLOMERATION AND LEXICAL TUNING
Principal Investigator: Wilks, Professor Y
Other Investigators:
Researcher Co-Investigators:
Project Partners:
Addison Wesley Longman Ltd
Department: Computer Science
Organisation: University of Sheffield
Scheme: Standard Research (Pre-FEC)
Starts: 01 October 1999 Ends: 31 October 2001 Value (£): 225,228
EPSRC Research Topic Classifications:
Human Communication in ICT
EPSRC Industrial Sector Classifications:
No relevance to Underpinning Sectors
Related Grants:
Panel History:  
Summary on Grant Application Form
We propose to build on our recent work on large-scale WSD, which currently produces the best results world-wide for all-word text WSD, and claim that WSD is a precondition for a proper computation treatment of lexical tuning: how to create and tune a lexicon to a corpus. What we propose has three aspects:1. A novel approach to creating mappings between lexical resources thus allowing the different knowledge sources they contain to be shared and facilitate more rapid adaptation using them.2. A novel method for clustering the sense sets for individual words in e.g. LDOCE, a process that may well result in a partitioning of the senses, different from that in the original lexicon.3. A novel method for adapting a general lexical resource to corpus so as to reflect the lexical information in a specific sub-domain. This will allow the rapid creation of domain-specific lexical knowledge of the domain for processing.The key notion here is that tuned lexical novelty will then be a product of two phenomena: the reclustered but existing sense inventory for each word and the domain corpus distribution.
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Organisation Website: http://www.shef.ac.uk