AICLJan 25, 2016

A Label Semantics Approach to Linguistic Hedges

arXiv:1601.06738v18 citations
Originality Synthesis-oriented
AI Analysis

This work addresses a specific problem in computational linguistics for researchers in fuzzy logic and semantics, but it appears incremental as it builds on existing frameworks.

The paper tackled the modeling of linguistic hedges 'very' and 'quite' by introducing a model within the label semantics framework, combined with prototype and conceptual spaces theories, resulting in a semantically grounded approach with generalizable and composable properties.

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.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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