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Publication - Professor Jonathan Lawry

    Hierarchical conceptual spaces for concept combination


    Lewis, MAF & Lawry, J, 2016, ‘Hierarchical conceptual spaces for concept combination’. Artificial Intelligence, vol 237., pp. 204-227


    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.

    Full details in the University publications repository