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%A Beno?t Lemaire %A Guy Denhi?re %T Incremental Construction of an Associative Network from a Corpus %X This paper presents a computational model of the incremental construction of an associative network from a corpus. It is aimed at modeling the development of the human semantic memory. It is not based on a vector representation, which does not well reproduce the asymmetrical property of word similarity, but rather on a network representation. Compared to Latent Semantic Analysis, it is incremental which is cognitively more plausible. It is also an attempt to take into account higher-order co-occurrences in the construction of word similarities. This model was compared to children association norms. A good correlation as well as a similar gradient of similarity were found. %K associative network, corpus, semantic memory, LSA, Latent Semantic Analysis %P 825-830 %E Kenneth Forbus %E Dedre Gentner %E Terry Regier %D 2004 %I Lawrence Erlbaum Associates %L cogprints3779