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PVLDB
2010
119views more  PVLDB 2010»
13 years 7 months ago
An Architecture for Parallel Topic Models
This paper describes a high performance sampling architecture for inference of latent topic models on a cluster of workstations. Our system is faster than previous work by over an...
Alexander J. Smola, Shravan Narayanamurthy
EMNLP
2007
13 years 10 months ago
Improving Word Sense Disambiguation Using Topic Features
This paper presents a novel approach for exploiting the global context for the task of word sense disambiguation (WSD). This is done by using topic features constructed using the ...
Junfu Cai, Wee Sun Lee, Yee Whye Teh
ICWSM
2010
13 years 10 months ago
Characterizing Microblogs with Topic Models
As microblogging grows in popularity, services like Twitter are coming to support information gathering needs above and beyond their traditional roles as social networks. But most...
Daniel Ramage, Susan T. Dumais, Daniel J. Liebling
UAI
2008
13 years 10 months ago
Hybrid Variational/Gibbs Collapsed Inference in Topic Models
Variational Bayesian inference and (collapsed) Gibbs sampling are the two important classes of inference algorithms for Bayesian networks. Both have their advantages and disadvant...
Max Welling, Yee Whye Teh, Bert Kappen
WWW
2011
ACM
13 years 3 months ago
Differences in the mechanics of information diffusion across topics: idioms, political hashtags, and complex contagion on twitte
There is a widespread intuitive sense that different kinds of information spread differently on-line, but it has been difficult to evaluate this question quantitatively since it ...
Daniel M. Romero, Brendan Meeder, Jon M. Kleinberg