Mixing Semantic Networks and Conceptual Vectors : Application to Hyperonymy - LIRMM - Laboratoire d’Informatique, de Robotique et de Microélectronique de Montpellier Access content directly
Journal Articles IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews Year : 2006

Mixing Semantic Networks and Conceptual Vectors : Application to Hyperonymy

Abstract

In this paper, we focus on lexical semantics, a key issue in Natural Language Processing (NLP) that tends to converge with conceptual Knowledge Representation (KR) and ontologies. When ontological representation is needed, hyperonymy, the closest approximation to the is-a relation, is at stake. In this paper we describe the principles of our vector model (CVM: Conceptual Vector Model), and show how to account for hyperonymy within the vector-based frame for semantics. We show how hyperonymy diverges from is-a and what measures are more accurate for hyperonymy representation. Our demonstration results in initiating a 'cooperation' process between semantic networks and conceptual vectors. Text automatic rewriting or enhancing, ontology mapping with natural language expressions, are examples of applications that can be derived from the functions defined in this paper.
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Dates and versions

lirmm-00122839 , version 1 (05-01-2007)

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Violaine Prince, Mathieu Lafourcade. Mixing Semantic Networks and Conceptual Vectors : Application to Hyperonymy. IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews, 2006, 36 (2), pp.152-160. ⟨10.1109/TSMCC.2006.871135⟩. ⟨lirmm-00122839⟩
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