Document (#21672)

Author

Griffiths, T.L.
Steyvers, M.

Title

¬A probabilistic approach to semantic representation

Source

http://cocosci.berkeley.edu/tom/papers/semrep.pdf

Year

2002

Abstract

Semantic networks produced from human data have statistical properties that cannot be easily captured by spatial representations. We explore a probabilistic approach to semantic representation that explicitly models the probability with which words occurin diffrent contexts, and hence captures the probabilistic relationships between words. We show that this representation has statistical properties consistent with the large-scale structure of semantic networks constructed by humans, and trace the origins of these properties.

Content

Paper, Proceedings of the 24th Annual Conference of the Cognitive Science Society. Vgl. auch: https://cocosci.berkeley.edu/publications.php?author=Steyvers,%20M.

Theme

Computerlinguistik
Wissensrepräsentation

Object

Latent semantic analysis

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5. Park, J.-r.: Evolution of concept networks and implications for knowledge representation (2007) 0.19

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