Proceedings of the Annual Meeting of the Cognitive Science Society

Information provided by the linguistic context has been shown to have a strong facilitatory effect on the activation and processing of upcoming words. The studies described in this paper aim to model the relation between context and target words using a distributional semantic model. We report three modelling studies in which we show that this model can successfully capture context effects in human-generated data (reading times and association scores).