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Incremental Construction of an Associative Network from a Corpus

Lemaire, Benoît and Denhière, Guy (2004) Incremental Construction of an Associative Network from a Corpus. [Conference Paper]

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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.

Item Type:Conference Paper
Keywords:associative network, corpus, semantic memory, LSA, Latent Semantic Analysis
Subjects:Computer Science > Statistical Models
Computer Science > Machine Learning
Psychology > Psycholinguistics
ID Code:3779
Deposited By:Lemaire, Benoit
Deposited On:25 Aug 2004
Last Modified:12 Sep 2007 17:53

References in Article

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