Prediction and Semantic Association

Part of Advances in Neural Information Processing Systems 15 (NIPS 2002)

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Thomas Griffiths, Mark Steyvers


We explore the consequences of viewing semantic association as the result of attempting to predict the concepts likely to arise in a particular context. We argue that the success of existing accounts of semantic representation comes as a result of indirectly addressing this problem, and show that a closer correspondence to human data can be obtained by taking a probabilistic approach that explicitly models the generative structure of language.