In this paper we introduce the TTCSe, a linguistic resource that relies on BabelNet, NASARI and ConceptNet, that has now been used to compute the conceptual similarity between concept pairs. The conceptual representation herein provides uniform access to concepts based on BabelNet synset IDs, and consists of a vector-based semantic representation which is compliant with the Conceptual Spaces, a geometric framework for common-sense knowledge representation and reasoning. The TTCSe has been evaluated in a preliminary experimentation on a conceptual similarity task.
TTCSe: a Vectorial Resource for Computing Conceptual Similarity
MENSA, ENRICO;RADICIONI, DANIELE PAOLO;LIETO, ANTONIO
2017-01-01
Abstract
In this paper we introduce the TTCSe, a linguistic resource that relies on BabelNet, NASARI and ConceptNet, that has now been used to compute the conceptual similarity between concept pairs. The conceptual representation herein provides uniform access to concepts based on BabelNet synset IDs, and consists of a vector-based semantic representation which is compliant with the Conceptual Spaces, a geometric framework for common-sense knowledge representation and reasoning. The TTCSe has been evaluated in a preliminary experimentation on a conceptual similarity task.File in questo prodotto:
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