Prediction and semantic association

Thomas L. Griffiths; Mark Steyvers

Prediction and semantic association

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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.

Original language	English (US)
Title of host publication	Advances in Neural Information Processing Systems 15 - Proceedings of the 2002 Conference, NIPS 2002
Publisher	Neural information processing systems foundation
ISBN (Print)	0262025507, 9780262025508
State	Published - 2003
Externally published	Yes
Event	16th Annual Neural Information Processing Systems Conference, NIPS 2002 - Vancouver, BC, Canada Duration: Dec 9 2002 → Dec 14 2002

Publication series

Name	Advances in Neural Information Processing Systems
ISSN (Print)	1049-5258

Other

Other	16th Annual Neural Information Processing Systems Conference, NIPS 2002
Country/Territory	Canada
City	Vancouver, BC
Period	12/9/02 → 12/14/02

All Science Journal Classification (ASJC) codes

Computer Networks and Communications
Information Systems
Signal Processing

Cite this

@inproceedings{eea940d90ae246b6a20e6364261c9058,

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",

year = "2003",

language = "English (US)",

isbn = "0262025507",

series = "Advances in Neural Information Processing Systems",

publisher = "Neural information processing systems foundation",

booktitle = "Advances in Neural Information Processing Systems 15 - Proceedings of the 2002 Conference, NIPS 2002",

note = "16th Annual Neural Information Processing Systems Conference, NIPS 2002 ; Conference date: 09-12-2002 Through 14-12-2002",

}

Griffiths, TL & Steyvers, M 2003, Prediction and semantic association. in Advances in Neural Information Processing Systems 15 - Proceedings of the 2002 Conference, NIPS 2002. Advances in Neural Information Processing Systems, Neural information processing systems foundation, 16th Annual Neural Information Processing Systems Conference, NIPS 2002, Vancouver, BC, Canada, 12/9/02.

Prediction and semantic association. / Griffiths, Thomas L.; Steyvers, Mark.
Advances in Neural Information Processing Systems 15 - Proceedings of the 2002 Conference, NIPS 2002. Neural information processing systems foundation, 2003. (Advances in Neural Information Processing Systems).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Prediction and semantic association

AU - Griffiths, Thomas L.

AU - Steyvers, Mark

PY - 2003

Y1 - 2003

N2 - 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.

AB - 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.

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M3 - Conference contribution

AN - SCOPUS:84898971628

SN - 0262025507

SN - 9780262025508

T3 - Advances in Neural Information Processing Systems

BT - Advances in Neural Information Processing Systems 15 - Proceedings of the 2002 Conference, NIPS 2002

PB - Neural information processing systems foundation

T2 - 16th Annual Neural Information Processing Systems Conference, NIPS 2002

Y2 - 9 December 2002 through 14 December 2002

ER -

Prediction and semantic association

Abstract

Publication series

Other

All Science Journal Classification (ASJC) codes

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