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CIKM
2010
Springer
14 years 8 months ago
Decomposing background topics from keywords by principal component pursuit
Low-dimensional topic models have been proven very useful for modeling a large corpus of documents that share a relatively small number of topics. Dimensionality reduction tools s...
Kerui Min, Zhengdong Zhang, John Wright, Yi Ma
EMNLP
2008
14 years 11 months ago
Bayesian Unsupervised Topic Segmentation
This paper describes a novel Bayesian approach to unsupervised topic segmentation. Unsupervised systems for this task are driven by lexical cohesion: the tendency of wellformed se...
Jacob Eisenstein, Regina Barzilay
TREC
2003
14 years 11 months ago
Relevance Propagation for Topic Distillation UIUC TREC 2003 Web Track Experiments
In this paper, we report our experiments on the Web Track TREC-2003. We submitted five runs for the topic distillation task. Our goal was to evaluate the standard language modeli...
Azadeh Shakery, ChengXiang Zhai
CVPR
2008
IEEE
15 years 11 months ago
Latent topic random fields: Learning using a taxonomy of labels
An important problem in image labeling concerns learning with images labeled at varying levels of specificity. We propose an approach that can incorporate images with labels drawn...
Xuming He, Richard S. Zemel
WWW
2005
ACM
15 years 10 months ago
Mining web site's topic hierarchy
Searching and navigating a Web site is a tedious task and the hierarchical models, such as site maps, are frequently used for organizing the Web site's content. In this work,...
Nan Liu, C. Yang