A label semantics approach to linguistic hedges

Martha Lewis; Jonathan Lawry

doi:10.1016/j.ijar.2014.01.006

A label semantics approach to linguistic hedges

Martha Lewis^*, Jonathan Lawry

^*Corresponding author for this work

Research output: Contribution to journal › Article (Academic Journal) › peer-review

10 Citations (Scopus)

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. (C) 2014 Elsevier Inc. All rights reserved.

Original language	English
Pages (from-to)	1147-1163
Number of pages	17
Journal	International Journal of Approximate Reasoning
Volume	55
Issue number	5
DOIs	https://doi.org/10.1016/j.ijar.2014.01.006
Publication status	Published - Jul 2014

Keywords

Linguistic hedges
Label semantics
Conceptual spaces
Random sets
ALGEBRAIC APPROACH
FUZZY-LOGIC
INFORMATION
SETS

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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. (C) 2014 Elsevier Inc. All rights reserved.",

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AU - Lawry, Jonathan

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AB - 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. (C) 2014 Elsevier Inc. All rights reserved.

KW - Linguistic hedges

KW - Label semantics

KW - Conceptual spaces

KW - Random sets

KW - ALGEBRAIC APPROACH

KW - FUZZY-LOGIC

KW - INFORMATION

KW - SETS

U2 - 10.1016/j.ijar.2014.01.006

DO - 10.1016/j.ijar.2014.01.006

M3 - Article (Academic Journal)

SN - 0888-613X

VL - 55

SP - 1147

EP - 1163

JO - International Journal of Approximate Reasoning

JF - International Journal of Approximate Reasoning

IS - 5

ER -

A label semantics approach to linguistic hedges

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Keywords

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