Lexical network enrichment using association rules model

Abstract

In this paper, we present our method of lexical enrichment applied on a semantic network in the context of query disambiguation. This network represents the list of relevant sentences in French (noted by listRSF) that respond to a given Arabic query. In a first step we generate the semantic network covering the content of the listRSF. The generation of the network is based on our approach of semantic and conceptual indexing. In a second step, we apply a contextual enrichment on this network using association rules model. The evaluation of our method shows the impact of this model on the semantic network enrichment. As a result, this enrichment increases the F-measure from 71% to 81% in terms of the (liste RSF) coverage.