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.
2017
1st Workshop on Sense, Concept and Entity Representations and their Applications
Valencia, Spain
April 4, 2017
Proceedings of the 1st Workshop on Sense, Concept and Entity Representations and their Applications
Association for Computational Linguistics
96
101
http://aclweb.org/anthology/W/W17/W17-1912.pdf
http://www.di.unito.it/~radicion/papers/mensa17ttcse.pdf
Mensa, Enrico; Radicioni, Daniele Paolo; Lieto, Antonio
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/1637182
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