A Label Semantics Approach to Linguistic Hedges
January 25, 2016 Β· Declared Dead Β· π International Journal of Approximate Reasoning
"No code URL or promise found in abstract"
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Authors
Martha Lewis, Jonathan Lawry
arXiv ID
1601.06738
Category
cs.AI: Artificial Intelligence
Cross-listed
cs.CL
Citations
8
Venue
International Journal of Approximate Reasoning
Last Checked
4 months ago
Abstract
We introduce a model for the linguistic hedges `very' and `quite' within the label semantics framework, and combined with the prototype and conceptual spaces theories of concepts. The proposed model emerges naturally from the representational framework we use and as such, has a clear semantic grounding. We give generalisations of these hedge models and show that they can be composed with themselves and with other functions, going on to examine their behaviour in the limit of composition.
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