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@misc{cogprints3779, editor = {Kenneth Forbus and Dedre Gentner and Terry Regier}, title = {Incremental Construction of an Associative Network from a Corpus}, author = {Beno{\^i}t Lemaire and Guy Denhi{\`e}re}, publisher = {Lawrence Erlbaum Associates}, year = {2004}, pages = {825--830}, keywords = {associative network, corpus, semantic memory, LSA, Latent Semantic Analysis}, url = {http://cogprints.org/3779/}, abstract = {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.} }