Abstract
In natural language, unlike formal logic, concepts are inherently flexible and graded. They give different degrees of importance to defining features, allow for different degrees of typicality, and permit a rich array of combination rules. Applications such as natural language processing and semantic search can greatly benefit from a richer representation of natural concepts to capture this flexibility. In this paper we introduce a new hierarchical representation of concepts inspired by Gardenfors’ work on conceptual spaces, which incorporates a probability model of prototypes to account for vague concept boundaries, semantic uncertainty and feature weights within concept ontologies.
Original language | English |
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Pages (from-to) | 204-227 |
Number of pages | 24 |
Journal | Artificial Intelligence |
Volume | 237 |
Early online date | 6 May 2016 |
DOIs | |
Publication status | Published - 1 Aug 2016 |
Keywords
- Conceptual spaces
- Concept combination
- vagueness