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» Structural Topic Model for Latent Topical Structure Analysis
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EMNLP
2008
13 years 10 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
ICML
2007
IEEE
14 years 9 months ago
Mixtures of hierarchical topics with Pachinko allocation
The four-level pachinko allocation model (PAM) (Li & McCallum, 2006) represents correlations among topics using a DAG structure. It does not, however, represent a nested hiera...
David M. Mimno, Wei Li, Andrew McCallum
SIGIR
2004
ACM
14 years 2 months ago
Usefulness of hyperlink structure for query-biased topic distillation
In this paper, we introduce an information theoretic method for estimating the usefulness of the hyperlink structure induced from the set of retrieved documents. We evaluate the e...
Vassilis Plachouras, Iadh Ounis
WWW
2002
ACM
14 years 9 months ago
The structure of broad topics on the web
The Web graph is a giant social network whose properties have been measured and modeled extensively in recent years. Most such studies concentrate on the graph structure alone, an...
Soumen Chakrabarti, Mukul Joshi, Kunal Punera, Dav...
AAAI
2006
13 years 10 months ago
Multi-Conditional Learning: Generative/Discriminative Training for Clustering and Classification
This paper presents multi-conditional learning (MCL), a training criterion based on a product of multiple conditional likelihoods. When combining the traditional conditional proba...
Andrew McCallum, Chris Pal, Gregory Druck, Xuerui ...