EPSRC Reference: |
GR/M73521/01 |
Title: |
MALT: MAPPING, AGGLOMERATION AND LEXICAL TUNING |
Principal Investigator: |
Wilks, Professor Y |
Other Investigators: |
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Researcher Co-Investigators: |
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Project Partners: |
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Department: |
Computer Science |
Organisation: |
University of Sheffield |
Scheme: |
Standard Research (Pre-FEC) |
Starts: |
01 October 1999 |
Ends: |
31 October 2001 |
Value (£): |
225,228
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EPSRC Research Topic Classifications: |
Human Communication in ICT |
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EPSRC Industrial Sector Classifications: |
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 |
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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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.shef.ac.uk |