@inproceedings{9bc85c4a2d6d481b8936c7c5c30507d0,
title = "Prediction and Semantic Association",
abstract = "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.",
author = "Griffiths, {Thomas L.} and Mark Steyvers",
note = "Funding Information: This work was generously supported by the NTT Communications Sciences Laboratories. We used Mersenne Twister code written by Shawn Cokus, and are grateful to Touchstone Applied Science Associates for making available the TASA corpus, and to Josh Tenenbaum for extensive discussions on this topic. Publisher Copyright: {\textcopyright} NIPS 2002: Proceedings of the 15th International Conference on Neural Information Processing Systems. All rights reserved.; 15th International Conference on Neural Information Processing Systems, NIPS 2002 ; Conference date: 09-12-2002 Through 14-12-2002",
year = "2002",
language = "English (US)",
series = "NIPS 2002: Proceedings of the 15th International Conference on Neural Information Processing Systems",
publisher = "MIT Press Journals",
pages = "11--18",
editor = "Suzanna Becker and Sebastian Thrun and Klaus Obermayer",
booktitle = "NIPS 2002",
address = "United States",
}